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Background: Online interaction in blended learning is leveraged through social presence and convergence. However, little systematic work currently exists on how researchers have explored these challenges in higher education institutions and no studies have synthesised these challenges. Objectives: The purpose of this study is to give a novel overview of social presence and convergence to improve online interaction in blended learning in higher education. The findings will be synthesised into blended learning design principles. Method: Two systematic literature reviews, one on each challenge, were carried out through the Web of Science databases and consulting cited sources in review articles. Accordingly, 28 distinct studies were selected through the guidelines of the PRISMA statement, using predefined selection criteria. Results and Conclusions: The results show that social presence in blended learning is mostly evoked through course design, introductory f2f meetings, collaborative activities, prompt online feedback, the teacher's presence, and planned facilitation. To establish convergence, it is recommended to make basic theory available online through video clips, web‐lectures, articles, followed by simple online assignments or self‐study to increase understanding, thereby creating opportunities for deep learning during face‐to‐face through discussions and collaborative activities. Implications: This paper adds to the theory on blended learning and instructional design in higher education, and further offers an elaborate set of design principles for educational practice. Future research on instructional design may investigate in particular how a target group or student factors, are affected by the blended learning environment in order to tailor designs for a specific target group. Lay Description: What is known?: Online interaction is pivotal in blended learningOnline interaction is leveraged through social presence and convergenceSocial presence prevents the online student from feeling lonelyConvergence entails deciding the best‐suited delivery mode: online or face‐to‐face What this paper adds: A novel overview and critical analysis of social presence in blended learningA novel overview and critical analysis of convergence in blended learningA synthesis of the findings on social presence and convergenceExtraction of the findings into blended learning design principles Implications for practitioners: The teacher's presence through design and accessibility fosters students' social presencePlacing concepts online leaves room for deep learning during face‐to‐faceCollaborative activities evoke social presence and facilitate deep learningBlended learning designs should be further tailored for the target group [ABSTRACT FROM AUTHOR]

Background: In example‐based learning, examples are often combined with generative activities, such as comparative self‐explanations of example cases. Comparisons induce heavy demands on working memory, especially in complex domains. Hence, only stronger learners may benefit from comparative self‐explanations. While static text‐based examples can be compared easily, this is challenging for transient video‐based modelling examples used in complex domains because simultaneous processing of two videos is not feasible. Objectives: To allow for such comparisons, we combined video‐based modelling examples with static representations (i.e., summarizing tables) of the observed optimal and a suboptimal solution of the problem‐solving process. A comparative self‐explanation prompt asked learners to compare the different solution approaches. Our study investigated the impact of video‐based modelling examples versus independent problem‐solving on cognitive load and problem‐solving skill development. Moreover, we investigated the effects of comparative versus sequential self‐explanation prompts, depending on learners' prior knowledge. Methods: In an experiment, 118 automotive apprentices learned a car malfunction diagnosis strategy. Apprentices were divided into three groups: (1) modelling examples with comparative self‐explanation prompts, (2) modelling examples with sequential prompts, and (3) no examples or prompts. Diagnostic knowledge and skills were assessed before and after the intervention. Cognitive load was measured retrospectively. Results and conclusions: Despite no observed effects on cognitive load, modelling examples enhanced diagnostic knowledge and diagnostic skills with scaffolds, though not independent diagnostic skills without scaffolds. The need for more practice opportunities to foster independent diagnostic skills is assumed. Additionally, comparative prompts seem promising for learners with higher prior knowledge. Takeaways: Video‐based modelling examples were more beneficial for learning than practising to apply the diagnostic strategy. Static representations allow for comparisons of video examples and comparative prompts are promising for learners with higher prior knowledge (cf. expertise‐reversal effect). Further research, especially on the effects on cognitive load, is necessary. Lay Description: What is already known about the topic?: Text and video examples that model how to solve a problem are widely used in education.Text examples often include self‐explanation prompts that ask learners to compare several examples.For video examples, such comparison prompts have seldom been investigated, because comparisons are difficult to implement for transient videos. What does this paper add?: This paper shows that video examples combined with static summaries of processes that have been shown in the video example are effective and allow for comparisons of video examples.Such comparisons seem to be more promising for learners with higher prior knowledge. Implications for practice: Practitioners could combine video examples with static summaries of the processes shown in the video examples to allow for comparisons. [ABSTRACT FROM AUTHOR]

Background: Both socially regulated learning and cognitive quality are important factors affecting collaborative knowledge building, but the current research lacks a joint quantified evaluation method that combines these two aspects. Objectives: Based on the existing framework, we proposed a joint evaluation method for regulated learning and cognitive quality in collaborative knowledge building, and further extracted the evaluation indicators. Methods: This study involved 74 learners enrolled in a course named 'the Application of Modern Educational Technology' as the subject of study, and made a case analysis with this method. Results and Conclusions: First, the indicators of this joint evaluation method could complement the indicators of traditional frequency statistics methods and facilitate an analysis of regulated learning and cognitive quality in collaborative knowledge building. Second, the group with a higher proportion of high‐level cognitive quality and socially shared regulation in collaborative knowledge building achieved better final scores. Finally, four types of groups were obtained through clustering: excellent, risky, mixed group, and highly collaborative group. This study introduced a joint evaluation method for regulated learning and cognitive quality in collaborative knowledge building and provides suggestions for future research. Lay Description: What is currently known about this topic?: Online collaborative knowledge building is increasingly important.Regulated learning and cognitive quality are considered very important for successful collaborative learning.Without quantitative methods, it is difficult to assess regulated learning and cognitive quality during collaborative knowledge building in a timely manner. What does this paper add?: This paper provided a joint evaluation method of regulated learning and cognitive quality (JERC) for online collaborative knowledge building.A case study was conducted to identify JERC's usefulness. Using descriptive statistics and visualization, it was determined that indicators of JERC can not only capture the state of cognitive quality and regulated learning status, but also elucidate the nature of that status (i.e., comprehensive, dynamic, cyclical).Through clustering analysis, four distinct groups were identified, each exhibiting different characteristics and moving patterns of regulated learning and cognitive quality over time. These patterns indicate that the quality of cognitive and regulatory learning cannot be determined solely by behavioural frequency. Moreover, an excessive proportion of individual regulation cannot predict better learning performance. Implications for practice: A computable representation model of regulated learning and cognitive quality was constructed to support automated perception and intervention in regulated learning and cognitive processing.With JERC, it is possible for researchers to capture, process, analyse and predict dynamic data to examine online collaborative knowledge building combined with shared physiological arousal events.The results of JERC can be used by researchers to develop advanced techniques, such as AI deep learning, for designing adaptive supports that can foster students' online collaborative knowledge building. [ABSTRACT FROM AUTHOR]

Background Study: Asynchronous online discussions are vital venues for collaborative knowledge construction. However, the lack of appropriate instruction designs poses challenges in promoting deep and substantive engagement with the core subject matter. This paper explores how to enhance adult students' knowledge construction in the context of asynchronous online discussions at an open university in Taiwan. Objectives: This study explores instructional designs aimed at promoting online knowledge construction among adult students and overcoming barriers to this process. Methods: This study used a convergent parallel mixed methods design to collect concurrently both quantitative data from the students' online discussion postings for content analysis and qualitative data from the focus group and individual interviews, the online open‐ended questionnaire, and the instructor's observation logs for thematic analysis. Then the results were merged in the interpretation stage. Results and Conclusion: The research highlights the significance of instructional designs in influencing students' level of knowledge construction during online discussions. The findings suggest that instructional designs that provide teacher‐led interim summaries, pose Socratic questions, and incorporate problem‐solving projects can promote higher‐level knowledge construction. However, time constraints, cultural influences, and unfamiliarity with peers negatively affected higher‐order knowledge construction. To address these challenges, culturally responsive and technologically inclusive instructional designs that take into account the specific challenges faced by adult learners are proposed to enhance learning outcomes through active participation. Limitation: The study's limited sample size warrants further research with a larger and more diverse cohort to validate the effectiveness of the proposed instructional designs. Another limitation is the lack of a robust theoretical base for the instructional strategies presented by the current action‐research study. Further examination and broader exploration in online education are needed to prop up proposed pedagogical approaches. Lay Description: What is currently known about this topic: Online discussions are essential for collaborative knowledge construction among adult students.Existing research primarily indicates that online knowledge construction often remains at a basic level, predominantly involving the sharing and comparing of information. What this paper adds: This study explores instructional designs aimed at elevating online knowledge construction among adult students at an open university in Taiwan.It identifies specific instructional strategies, such as teacher‐led interim summaries, the use of Socratic questioning, and the integration of problem‐solving projects, as effective in promoting higher‐level knowledge construction.The paper also sheds light on the challenges hindering higher‐order knowledge construction, including time constraints, cultural influences, and unfamiliarity among peers. Implications for practice and/or policy: The findings underscore the need for culturally responsive and technologically inclusive instructional designs. These should be tailored to the unique challenges faced by adult learners, particularly in asynchronous online environments.The paper suggests that such instructional designs can significantly improve learning outcomes by fostering more active and deeper participation in online discussions.It also highlights the importance of further research to validate these strategies, given the study's limited sample size and the need for a more robust theoretical foundation for the proposed instructional methods. [ABSTRACT FROM AUTHOR]

Background: Measuring students' self‐regulation skills is essential to understand how they approach their learning tasks in order to identify areas where they might need additional support. Traditionally, self‐report questionnaires and think aloud protocols have been used to measure self‐regulated learning skills (SRL). However, these methods are based on students' interpretation, so they are prone to potential inaccuracy. Recently, there has been a growing interest in utilizing learning analytics (LA) to capture students' self‐regulated learning (SRL) by extracting indicators from their online trace data. Objectives: This paper aims to identify the indicators and metrics employed by previous studies to measure SRL in higher education. Additionally, the study examined how these measurements were validated. Methods: Following the protocol of Preferred Reporting Items for Systematic Reviews and Meta‐Analyses (PRISMA), this study conducted an analysis of 25 articles, published between 2015 and 2022, and sourced from major databases. Results and Conclusions: The results showed that previous research used a variety of indicators to capture learners' SRL. Most of these indicators are related to time management skills, such as indicators of engagement, regularity, and anti‐procrastination. Furthermore, the study found that the majority of the reviewed studies did not validate the proposed measurements based on any theoretical models. This highlights the importance of fostering closer collaboration between learning analytics and learning science to ensure the extracted indicators accurately represent students' learning processes. Moreover, this collaboration can enhance the validity and reliability of data‐driven approaches, ultimately leading to more meaningful and impactful educational interventions. Lay Description: What is already known about this topic?: Measuring students' self‐regulation skills is essential for understanding their learning approaches and identifying areas requiring further support.Traditionally, questionnaires and interviews have been used to measure learners' self‐regulation; however, these methods rely on students' own views, which can sometimes be unreliable.Recently, there has been more interest in using learning analytics to measure students' self‐regulation based on data extracted from their online activities. What this paper adds?: This paper systematically analyses how previous studies used learning analytics to measure students' self‐regulation in higher education.It examines how these measurements were validated. Implications for practise and/or policy: More collaboration is needed between researcher in learning science and learning analytics is essential to ensure that the metrics and methods developed are not only theoretically sound but also practically relevant. This collaboration ultimately contributes to the design of enhanced learning experiences and outcomes. [ABSTRACT FROM AUTHOR]

Background: Mindfulness practices enhance executive function skills and academic achievement, spurring interest in integrating mindfulness interventions into education. Embedding mindfulness practice into a digital math game may provide a low‐cost, scalable way to induce mindfulness and boost game‐based learning, yet this approach remains unexplored. Objectives: We investigated the learning benefits of integrating mindfulness exercises in a digital math learning game and examined how students' trait mindfulness might moderate the outcomes. Methods: Two classroom studies were conducted with 404 5th and 6th grade students from six public schools in the U.S. (nStudy 1 = 227, nStudy 2 = 177). The two randomized controlled experiments assigned students to one of the three conditions: passive control (playing the digital learning game Decimal Point), story‐enriched active control, or mindfulness‐enriched condition. Trait mindfulness, learning gains, and in‐game problem‐solving (including problem‐solving duration, error count and correctness after reminder) were assessed. Study 2 included a manipulation check to better understand the effects of the mindfulness intervention. Results: Findings showed no significant differences in learning gains, problem‐solving duration or error count among the conditions. Students' trait mindfulness did not moderate these outcomes. Mindfulness reminders in the mindfulness‐enriched game led to more correct answers after errors than jokes in the story‐enriched game. Study 2 revealed that we failed to induce higher state mindfulness through the mindfulness inductions. Conclusions: Mindfulness prompts could be especially beneficial for students experiencing frustration during gameplay, warranting more exploration for digital game‐based instruction. We highlight barriers and future directions for fostering mindfulness through computer‐based instruction in classrooms. Lay Description: What is currently known about this topic?: Researchers focus on digital games as productive learning environments for math, with potential for higher learning gains compared with traditional methods. However, results are mixed, and not all games lead to improved math outcomes.Executive function (EF) skills are crucial for math learning, and mindfulness‐based interventions show promise in enhancing EF skills in school‐aged students.Embedding mindfulness practice into a digital math game may provide a low‐cost, scalable way to induce mindfulness and, in turn, boost EF skills and game‐based learning, yet this approach remains unexplored What does this paper add?: This paper presents the results of two randomized control trials investigating the feasibility and benefits of incorporating mindfulness exercises into a digital math game designed for middle school students. Benefits are compared to those of a story‐enriched and regular version of the same digital math learning game.The paper also explores variations in the effects of the mindfulness‐enriched game based on students' initial trait mindfulness levels.We observe that listening to mindfulness inductions at the beginning of game sessions do not induce mindfulness, and therefore does not benefit math learning.We find that mindfulness prompts received after recurrent errors can be beneficial for students' problem solving. Implications of study findings for practitioners: Our study provides important information on how digital learning game designers should attempt to induce mindfulness in a digital game to promote learning.Digital learning game designers should consider incorporating mindfulness exercises into their games strategically. Presenting mindfulness inductions in audio format at the beginning of game sessions may not induce mindfulness or benefit math learning. Instead, designers should focus on integrating mindfulness prompts at moments when students encounter frustration within the learning game.Beyond embedding audio mindfulness exercises in the game, learning designers should also consider alternative technological and game features to induce mindfulness within a learning game. [ABSTRACT FROM AUTHOR]

Background: Painting is the foundational expression across all art forms and is one of the key creative practices for fostering students' aesthetic ability and creativity within fine arts courses. Collaborative painting in the form of socially shared regulation of learning (SSRL) can be recognized as an effective strategy for enhancing creativity in both individual and group work. However, the absence of contextual experiences and collaborative spaces poses challenges for students in cultivating their creativity in painting. Objectives: The present study explores students' creativity, socially shared regulation (SSR) and positive painting behaviours using an SSRL‐based collaborative painting approach in the metaverse (Meta‐CP). Methods: Via a quasi‐experimental design, a total of 40 Chinese students in fifth grade were recruited and were randomly divided into an experimental group and a control group, with 20 students utilizing the Meta‐CP approach, while the remaining 20 students followed the conventional SSRL‐based paper‐and‐brush collaborative painting (C‐CP) approach. The Meta‐CP approach not only offers an authentic painting context and a collaborative space but also facilitates the collaborative process through the SSRL framework. The data collection included students' creative tendency, painting works and painting process. Results and Conclusions: The Meta‐CP approach effectively enhances students' creativity concerning adventure, curiosity and imagination, as well as results in the creation of more distinctive and logical artistic works. Furthermore, the approach significantly improved the quality of students' SSR. Additionally, students utilizing the Meta‐CP approach displayed more positive painting behaviours compared with those employing the C‐CP approach. Lay Description: What is already known about this topic:Collaborative painting is an effective strategy for enhancing creativity.Socially shared regulation of learning (SSRL) fosters collaborative learning.Students in collaborative painting may lack a contextual and synchronized painting space.The metaverse benefits in terms of contextual experiences and collaborative spaces. What this paper adds:Using an SSRL‐based collaborative painting approach in the metaverse (Meta‐CP) is effective in improving students' creativity.The Meta‐CP approach has the potential to improve students' quality of socially shared regulation (SSR), and positive painting behaviours. Implications for practice and/or policy:The metaverse provides an immersive synchronized painting space for art education to stimulate students' creative potential.The metaverse with proper learning strategies (e.g., SSRL) provides an effective collaborative learning environment for creation. [ABSTRACT FROM AUTHOR]

Background: A practical test that measures the information and communication technology (ICT) skills students need for effectively using ICT in primary education has yet to be developed (Oh et al., 2021). This paper reports on the development, validation, and reliability of a test measuring primary school students' ICT skills required for effectively using ICT (the ECC‐ICT test). Objectives: Based on existing literature, three ICT use domains were identified for effectively using ICT: Effective, collaborative, and creativeuse of ICT. For these three domains, 24 corresponding teaching objectives were identified from a widely used digital literacy framework. Thirty‐four test items cover these teaching objectives in an online test. Methods: A mixed‐method approach was used for the ECC‐ICT test. Four pilot rounds (n=25) implemented qualitative interviews for cognitive validity and refining the test items, followed by a qualitative usability study(n=6). Confirmatory factor analysis and ANOVA provided quantitative insight into the large‐scale test administration(n=575). Results and Conclusions: Composite reliability of our conceptual 3‐factor confirmatory model showed that the test reliably measured primary school effective use of ICT (ω = 0.82), collaborative use of ICT (ω = 0.80) and creative use of ICT (ω = 0.64). Convergent validity (ranging from 0.41 to 0.46) was acceptable. Internal consistency (ranging from 0.84 to 0.91) and discriminant validity (HTMT values below 0.90) are good. ANOVA results show that mean test scores are higher for students in higher grade levels (p < 0.001). The post hoc Bonferroni results show that most grade‐by‐grade comparisons are significant (p < 0.001). Lay Description: What is already known about this topic: Information and communication technology (ICT) skills are finding their way into national curriculums as teachers implement more digital learning environments.Teachers currently do not have a measurement instrument for the ICT skills primary education students need to learn in a personalised way. What this paper adds: This paper gives teachers a test that reliably measures the effective, collaborative, and creative ICT skills required for primary school students to learn using ICT.To our knowledge, this test is the first of its kind.Al materials to reproduce the test are available digitally for teachers. The implications of study findings for practitioners: For policy, this test can be used to check if a student is ready to use ICT in a self‐regulated setting.With this test, teachers can assess and support students' growth on the effective, collaborative, and creative ICT skills required for primary school students using ICT. [ABSTRACT FROM AUTHOR]

Background Study: Virtual reality (VR) is becoming a popular technology for safety training in construction. Several VR training prototypes have been designed and tested, which show they can perform better than traditional training tools. However, most of these existing tools are not underpinned by clear pedagogical theory, and studies assessing the impact of pedagogical theories on the effectiveness of VR prototypes are still rare in the literature. Objectives: This study aims to investigate if and how the productive failure theory and the directive instruction theory have an impact on the effectiveness of VR safety training for confined space workers. Methods: The study used a randomized controlled method involving 74 participants. The effectiveness of these two training methods was assessed in terms of knowledge acquisition and retention. Results and Conclusions: The results illustrate that the productive failure training design performed better in terms of knowledge acquisition and retention. This paper introduces the Productive Failure Theory and shows the great potential of this approach for self‐service VR safety training in the field of construction. Lay Description: What is already known about this topic: PF has been proven effective in classroom‐based teaching practice.PF has been proven effective in non‐immersive virtual training.DI is a commonly used pedagogical method for VR training. What this paper adds: The present paper investigates the feasibility of applying PF theory in VR safety training.The present paper examines the pedagogical impacts of the two pedagogical approaches within VR serious games. Implications for practice and/or policy: PF can be applied to self‐help VR safety training, reducing the demand for resources such as teaching staff and venues.PF training design performed better in terms of knowledge acquisition and retention.PF has great potential for self‐help VR safety training in various fields. [ABSTRACT FROM AUTHOR]

Background: Augmented reality (AR) is receiving increasing interest as a tool to create an interactive and motivating learning environment. Yet, it is unclear how instructional support affects performance in AR. Objectives: This study sought to explore how varying the instructional support in AR can affect performance‐related behaviours of students with low cognitive abilities during assembly work. Methods: A total of 90 Belgian secondary school students repeatedly executed four different realistic assembly tasks. Three levels of instructional support (low, medium, and high) in AR as well as a control condition with paper instructions with a high level of detail were systematically varied across tasks and participants. Results and Conclusions: Multilevel regression analyses showed that AR instructions yielded lower assembly times and a lower perceived physical effort than paper instructions. Additionally, participants perceived tasks as less complex when given AR instructions with a high or a medium level of detail than when given a low level of detail. No effects of instructional support were established for other performance‐related behaviours, namely necessary assistance, error‐making, cognitive load, competence frustration, and stress. Effect sizes were small, at least among the instructional support conditions studied, yielding a limited base for adaptivity. Presumably, tailoring the instructional support in AR is only beneficial for highly complex tasks. The results might be useful for the design and implementation of AR in educational settings. Lay Description: What is currently known about the subject matter: Augmented reality is knowing increased use in education.Little is known about how to design effective instructional support in augmented reality. What this paper adds: This study represents an initial insight into how to personalize instructional support.The impact of instructional support on augmented reality performance of students with low cognitive abilities was investigated.The study suggests that varying instructional support may lead to differences in performance outcomes. Implications for practitioners: How instructional support is constructed may affect augmented reality learning.The results may inform the design of effective augmented reality learning environments for students with special needs.How individual, contextual, and task‐specific characteristics moderate the effectiveness of instructional support should be further investigated. [ABSTRACT FROM AUTHOR]

Background: The potential of learning analytics dashboards in virtual reality simulation‐based training environments to influence occupational self‐efficacy via self‐reflection phase processes in the Chemical industry is still not fully understood. Learning analytics dashboards provide feedback on learner performance and offer points of comparison (i.e., comparison with one's own past performance or comparison with peer performance) to help learners make sense of their feedback. Objectives: We present a theoretical framework for describing learning analytics reference frames and investigate the impact of feedback delivered through dashboards with different reference frames on occupational self‐efficacy, while controlling for workplace self‐reflection. Methods: This experimental study engaged 42 chemical operator employees, aged between 18 and 55 years, each with at least one year of experience. We utilised a two‐group design to ask two research question each with three competing hypotheses related to changes in occupational self‐efficacy, employing Bayesian informative hypothesis evaluation. Results and Conclusions: Results for the primary research question suggest that dashboards with progress reference frames do not elicit greater change to self‐efficacy than those with social reference frames, however, they may elicit equal change. Furthermore, dashboards with social reference frames may elicit greater change to self‐efficacy than those with progress reference frames. Exploratory results found that dashboards with progress reference frames may elicit greater positive directional change than those with social reference frames and that they may elicit equal directional change. These findings contribute to the understanding of self‐efficacy beliefs within the Chemical industry, with potential impacts on skill development. The research may inform the design of targeted interventions and training programs to influence self‐efficacy. From a practical perspective, this research suggests that careful consideration is needed when choosing reference frames in learning analytics dashboards due to their potential consequences on the formation of learner self‐efficacy. Lay Description: What is already known about this topic?: Learning analytics dashboards often aim to stimulate self‐regulated learning by providing feedback.Feedback plays a crucial role in simulation‐based learning and learning analytics dashboards can be a valuable tool to deliver feedback and facilitate the learning process by providing learners with insights into their performance and progress.Previous research has highlighted the importance of reference frames as critical design features of learning analytics dashboards, as they assist learners in making sense of learning analytics feedback.Self‐efficacy is a powerful determine factor of workplace performance and is influenced by mastery experiences and social modelling information. What the paper adds?: A theoretical framework describes the mediating role self‐reflection phase processes of the self‐regulated learning cycle plays in the formation of occupational self‐efficacy.This paper introduces the concept of three learning analytics reference frame components which include the performance outcome component, point of comparison component and score delta component.The paper indicates that learning analytics dashboards designed with a progress reference frame does not elicit greater change to occupational self‐efficacy than the social reference frame.Exploratory results suggest dashboards with progress reference frames might produce greater positive directional change compared to social reference frames or elicit equal change. Implications for practice?: Learning analytics system designers who use reference frames to help learners make sense of their feedback should carefully consider which reference frames they use as these decisions likely have consequences on the formation of learner self‐efficacy beliefs.For LAD designers and stakeholders, recognising the absolute change and directional shift in self‐efficacy is crucial, as LAD designs significantly influence these dynamics and guide the tailoring of effective tools.In industries like the chemical sector, where overconfidence can result in severe consequences, understanding the nuance of self‐efficacy changes is especially pertinent. [ABSTRACT FROM AUTHOR]

Background: Driven by the ongoing need to provide high‐quality learning and teaching, universities recently have shown an increased interest in using learning analytics (LA) for improving learning design (LD). However, the evidence of such improvements is scarce, and the maturity of such research is unclear. Objectives: This study is aimed to evaluate the maturity of research discussing LA‐driven LD improvements in higher education. Methods: The systematic review analyses 49 empirical papers, assesses their quality and suggests further research directions. The review elaborates on methodological (research questions, strategy and methods, LA‐LD integration theoretical backgrounds) and substantial (LA‐driven LD improvements, types of data used, LA software development) features of the papers. Results and Conclusions: The findings demonstrated the lack of theoretical alignment between LA and LD, with research tending towards user experience studies. The most frequently used research strategy was a case study; experiments were very rare. Researchers predominantly used parsing for collecting data and AI methods for analysing it; mostly used data types related to registering learners' engagement with learning activities as well as resources and tools provided in digital learning environments. Takeaways: The research area discussing LA‐driven LD improvements still has a way to go before attaining the level of full maturity. Only a third of the papers reported actual LA‐driven LD improvements; moreover, only three papers measured their effectiveness. The presented LA software was mostly at the beta or implementation stages and did not assess the impact of using this software. Lay Description: What is already known about this topic: Universities show an increased interest in using LA for improving LD.The evidence of such improvements being efficient is scarce.Learning analytics is weakly grounded in learning and teaching. What this paper adds: LA‐LD research presented in the reviewed papers cannot yet be considered fully mature.Almost half of the research was carried out using a case study approach, intrinsically challenging in terms of replication and validity. As few as three out of the reviewed studies applied an experimental approach, capable of stating the cause–effect relationship between LA and LD.All the studied papers mentioned improvements in LD, but only around a third of them reported actual improvements, another one‐third suggested potential improvements, and the rest did not come down to describing any.The LA software presented in the papers was mostly at the testing or implementation stages, and the impact of implemented software on LD has yet to be evaluated. Implications for practice and/or policy: Future LA‐LD research to become more mature may well elaborate on theoretical footing, contribute to the cause–effect relationship between LA and LD utilising experimental research design, ensure sufficient sample size.Practitioners' efforts should be directed to operationalising LD for efficient measurements, addressing pedagogical challenges when applying LA, and assessing LA‐driven improvements introduced into LD. [ABSTRACT FROM AUTHOR]

Background: Degree apprenticeships (DA) help employees gain new knowledge and skills by allowing them to study towards a university degree while working full time. For these programmes to be effective, the learning design should be adapted to the needs of these students, who are goal oriented (i.e. they want to gain only knowledge that can be applied within their workplace), have limited time for studying, and usually have not attended formal education for some time. As these programmes are relatively new, there is limited research on how these students can be supported to achieve the programmes' learning goals by using information and communication technologies. Objectives: This paper aims to understand whether a learning design that combines game‐based learning with online flipped classrooms can engage DA students in their learning and help them develop their reflective skills. Methods: Two focus groups were conducted with DA students that study at a UK Business School towards gaining the Chartered Manager status. The focus groups recordings have been analysed using reflexive thematic analysis. Results and Conclusions: The three main themes, "change can be helpful and challenging at the same time", "the ideal game", and "the effect of others", show that DA students find game‐based learning and online flipped classrooms useful, with the right support. Simulation games can be more fulfilling to DA students than quiz games, even if they take more of their out‐of‐class time. In addition, instructors are advised to work more closely with diverse teams to enable students share their work experiences and learn from each other. Lay Description: What is already known about this topic?: Online flipped classrooms offer flexibility in learning, but instructors need to find solutions to challenges, like students' limited e‐learning readiness and lack of motivation.Game‐based learning has been found to facilitate learning in general, but there is a need to identify the specific circumstances (i.e. settings, gaming elements) under which it is effective.Degree apprenticeship students need more support with their learning compared to traditional university students, as they face additional challenges in terms of family life‐work balance and connecting their learning to their working experience. What this paper adds?: Game‐based learning can be useful to degree apprenticeship students providing that focuses on the application of knowledge and provides feedback.Despite facing challenges related to maintaining work‐study‐life balance, degree apprenticeship students are willing to complete the flipped classroom's out‐of‐class activities, if they see a clear benefit from doing so.Online group activities can be challenging for degree apprenticeship students, if they are not able to form teams with other learners that work for the same organisation. The implications of study findings for practitioners: Avoid quiz‐like games and select the ones that use real‐life scenarios for degree apprenticeship students to help them link their learning to their practice.Formative feedback should be provided by both the instructor and the game to motivate degree apprenticeship students to spend the additional time to complete the out‐of‐class activities.Students should be reminded frequently of the purpose of any new learning elements (e.g. learning analytics) as they may not have the time to explore them on their own.When forming student teams based on students' workplace is not possible, spend more time in each breakout room to facilitate the online group discussion and help students bring their different working experiences together. [ABSTRACT FROM AUTHOR]

Background: In scientific inquiry learning, students often have difficulties conducting hypothetical reasoning with multiple intertwined variables. Concept maps have a potential to facilitate complex thinking and reasoning. However, there is little investigation into the content of student‐constructed concept maps and its association with inquiry task performance. Objectives: This study explored students' concept mapping style and its association with task performance in computer‐based inquiry learning. Methods: An exploratory study was conducted with 80 Grade 11 students, who collaboratively constructed concept maps in a free style to support inquiry learning with a virtual ecosystem. Student‐constructed concept maps was analysed by firstly identifying different types of propositions formed in the maps and then determining the style of each concept map based on the dominant type of propositions in the map. Finally, the association between the concept map style and inquiry task performance was explored. Results and Conclusions: Two major concept map styles were identified: (1) knowledge‐oriented concept maps (KCMs) mainly representing problem‐related subject knowledge as a set of concepts and their relationships, and (2) problem‐oriented concept maps (PCMs) mainly representing problem situation as a sequence of changes and their causal relationships. Compared with those constructing KCMs, the students constructing PCMs formed higher‐quality propositions in their maps and performed better in hypothesising, reasoning, and drawing conclusions in the inquiry task. Implications: Besides KCMs, students in inquiry learning can be encouraged to construct PCMs to foster effective thinking and reasoning; that is, constructing a concept map to represent the problem situation as a sequence of changes and the causal relationships between the changes. Lay Description: What is currently known about the subject matter: Concept maps (CMs) can facilitate complex thinking and reasoning in inquiry learning.There is little investigation into the content of student‐constructed CMs.It is unknown how CM content might associate with inquiry task performance. What this paper adds: Students constructed two major styles of CMs in computer‐based inquiry learning.The two styles of CMs are problem‐oriented and knowledge‐oriented CMs.Students constructing problem‐oriented CMs performed better in the inquiry task. Implications for practitioners: Analysing student‐constructed CMs helps understand student thinking in inquiry.Students are encouraged to build problem‐oriented CMs in inquiry learning. [ABSTRACT FROM AUTHOR]

Background: Higher vocational education is an essential part of the higher education system that complements conventional education. In the context of information and communication technology (ICT) development and academic competition, more and more literature has proved the importance of ICT use in educational development (academic achievement and mental health) and the relationship between information literacy and the educational development of higher vocational students. Objectives: Based on one of the most extensive surveys of higher vocational students, the study combined the Opportunity‐Propensity (O‐P) framework and ecological model to explore the direct effects of different types of ICT use on educational development and the indirect effects from psychological and social factors. Methods: The data involved 28,956 students from seven higher vocational colleges. The class fixed effect and causal mediation analysis models verified the results. Results and Conclusion: The results found differential effects of different types of ICT use on academic achievement and mental health. Information literacy ability can improve the academic achievement of higher vocational students, but at the cost of mental health. ICT use not only directly impacts the academic achievement and mental health, but also has an indirect impact through psychological factors represented by self‐efficacy and technostress and social factors represented by social support. Implications: This study promotes integrating and expanding the O‐P framework and ecological model, enriching the relevant research in ICT use and educational development. Meanwhile, it also provides practical suggestions for realizing rational interventions in ICT use and improving the educational development level of higher vocational students. Lay Description: What is already known about this topic: Information and communication technology (ICT) use is closely related to the educational development of higher vocational students.The trend of ICT use in higher vocational education has become increasingly apparent.The effects of ICT use are heterogeneous among groups with different information literacy. What this paper adds: O‐P framework and ecological model provide the perspective of theoretical integration.The impact of different types of ICT use on educational development varies.Information literacy can improve academic achievement at the cost of mental health.Psychological and social factors play a mediating role in educational development. Implications for practice and/or policy: The research is helpful to guide students to allocate their time reasonably for different ICT uses.Mental health counselling should be strengthened while cultivating information literacy ability.Develop appropriate ICT usage strategies for students with different information literacy.It is helpful to develop appropriate interventions from a psychological and social perspective. [ABSTRACT FROM AUTHOR]

Background: Artificial intelligence–generated content (AIGC) has stepped into the spotlight with the emergence of ChatGPT, making effective use of AIGC for education a hot topic. Objectives: This study seeks to explore the effectiveness of integrating AIGC into programming learning through debugging. First, the study presents three levels of AIGC integration based on varying levels of abstraction. Then, drawing on extended effective use theory, the study proposes the underlying mechanism of how AIGC integration impacts programming learning performance and computational thinking. Methods: Three debugging interfaces integrated with AIGC by ChatGPT were developed for this study according to three levels of AIGC integration design. The study conducts a between‐subject experiment with one control group and three experimental groups. Analysis of covariance and a structural equation model are employed to examine the effects. Results and Conclusions: The results show that the second and third levels of abstraction in AIGC integration yield better learning performance and computational thinking, but the first level shows no difference compared to traditional debugging. The underlying mechanism suggests that the second and third levels of abstraction promote transparent interaction, which enhances representational fidelity and consequently impacts learning performance and computational thinking, as evidenced in test of the mechanism. Moreover, the study finds that learning fidelity weakens the effect of transparent interaction on representational fidelity. Our research offers valuable theoretical and practical insights. Lay Description: What is currently known about the subject matter?: In the present information era, programming and computational thinking are important.AIGC has attracted remarkable attention from both academics and managers.If it is appropriately utilised, AIGC can facilitate education. What this paper adds: Three forms of AIGC integration based on the level of abstraction, which enhance programming learning and computational thinking.Application of extended effective use theory to propose an underlying mechanism for how AIGC integration affects learning performance and computational thinking.Concrete information on the utilisation of AIGC in the education domain.Evidence that shows the importance of interaction transparency and representational fidelity for leveraging information technologies in education. Implications of the study findings for practitioners: AIGC can be an effective tool for teachers, learners, and institutions.Platform designers and teachers should carefully design AICG integration.Platform designers and teachers could make use of various methods and other forms of AIGC integration to promote interaction transparency. [ABSTRACT FROM AUTHOR]

Background: Science history is a discipline that teaches the development of scientific thought and the discoveries of scientists. However, these topics can sometimes be abstract and difficult to understand. The use of technology can make the teaching of the history of science more effective, engaging, and accessible. By providing students with visual and interactive experiences, it allows them to better understand abstract concepts and closely follow the discoveries of scientists. In this way, history of science lessons can become more appealing and conducive to learning for students. Objectives: This research aims to design and develop a Mobile Augmented Reality (MAR) environment that can be used for teaching science history. Methods: The research was conducted using a design‐based research method consisting of four stages: Analysis, design, development‐implementation‐evaluation, and reporting. The research involved 10 science teachers and five secondary school students. Data were collected through focus group interviews, individual interviews, notes, audio recordings, and images, and then analysed using content analysis. Results and Conclusions: As a result of the research, a MAR application named TISAR‐3D was developed, which allows students to interactively and visually explore scientists and enrich their learning experience. Implications: The widespread use of the TISAR‐3D application in science history education is recommended, as well as the development of similar MAR applications for other topics. Lay Description: What is known about this topic: AR technology is an increasingly used technology in education.AR technology is effective in teaching the history of science.AR makes abstract concepts concrete and provides interactive experiences for students. What this paper adds: The research focuses on the development of a MAR application called TISAR‐3D.The application supports Turkish and English languages and offers voice narration.The role of scientists in the history of science is not sufficiently known.Scientists are not adequately represented in textbooks. Implications of the study findings for practitioners: Include more scientists in the app for a broader learning experience.Include more interactive activities in the app for a fun learning experience.Teachers should extend more time to accommodate the app's use in class. [ABSTRACT FROM AUTHOR]

Background: Investigating emotion sequence patterns in the posts of discussion forums in massive open online courses (MOOCs) holds a vital role in shaping online interactions and impacting learning achievement. While the majority of research focuses on the relationship between emotions and interactions in MOOC forum discussions, research on identifying the crucial difference in emotion sequence patterns among different interaction groups remains in its infancy. Objectives: This research utilizes deep learning and sequential pattern mining to investigate whether there are differences in emotion sequence patterns across different groups of learners who exhibit various types of interactions in online discussion forums. Methods: Data from a comprehensive array of sources, including log files, discussion texts and scores from 498 learners in online discussion forums, were collected for this study. The agglomerative hierarchical algorithm is used to classify learners into groups with different levels of interactions. Additionally, we implement and evaluate multiple deep learning models for detecting different emotions from online discussions. Relevant emotion sequence patterns were identified using sequence pattern analysis and the identified emotion sequence patterns were compared across different groups with different levels of interactions. Results and Conclusions: Using an agglomerative hierarchical algorithm, we classified learners into three distinct groups characterized by different levels of interactions: high, average and low level. Leveraging the bi‐directional long short‐term memory model for emotion detection yielded the highest predictive performance, with an impressive F‐measure of 94.01%, a recall rate of 93.83% and an accuracy score of 95.01%. The results also revealed that learners in the low‐level interaction group experienced more emotion transition from boredom to frustration than the other two groups. Therefore, the aggregation of students into groups and the utilization of their MOOC log data offer educators the capability to provide adaptive emotional feedback, customize assessments and offer more personalized attention as needed. Lay Description: What is currently known about the subject matter: Emotions are dynamic over time when learners experience cognitive disequilibrium/equilibrium.Online interactions are critical components, which influence learners' emotional state, cognitive processes and learning achievement.It is not clear what are differences in emotion sequence patterns across the groups with different interaction types. What the paper adds: An agglomerative hierarchical algorithm was implemented to cluster learners into three groups by analysing behavioural data.We explore possibilities for automated classification of emotions using deep learning approaches.Learners in the low‐level interaction group experienced more emotion transition from boredom to frustration. Implications for practitioners: A considerable amount of effort should be expended to identify and respond to learners who experience boredom and frustration emotions.Designing interventions or scaffolding to facilitate learners' interaction and promote favourable emotions.Educators could provide more personalized support based on learners' online interaction cluster. [ABSTRACT FROM AUTHOR]

Background study: Computer‐assisted pronunciation training (CAPT) has emerged as an important resource for second language (L2) pronunciation learning. CAPT offers diverse opportunities for learners to master L2 pronunciation with the help of authentic learning activities in multiple contexts. Objectives: This study presents a comprehensive overview to examine the overall effect of using a computer in learning pronunciation in multiple settings and diverse educational levels with the assistance of different tools. Methods: The meta‐analysis consisted of 31 primary studies that reported results obtained from experimental vs. control group designs. These studies reported 42 effect sizes in the results. Results: The findings of the meta‐analysis indicated that using CAPT in learning pronunciation had an overall medium effect size. Similarly, the results showed that using CAPT inside the classrooms had a large effect size. The results also showed that CAPT had a large effect size when used in schools and other formal learning contexts, such as language institutes. CAPT had a medium effect when it was used in universities. The results also showed that using videos for learning pronunciation had a large effect size while other tools had a medium effect size. Conclusions: The study findings contribute to understanding the overall effect of CAPT and offer implications for educators and practitioners involved in designing effective instructional strategies for enhancing L2 pronunciation skills. Lay Description: What is already known about this topic: Computer‐Assisted Pronunciation Training has emerged as a valuable tool for L2 pronunciation learning.The variables that may affect the using of Computer‐Assisted Pronunciation Training include settings, educational level and CAPT tools. What this paper adds: The study drew on a meta‐analytic framework to examine the overall effect of using a computer in learning pronunciation in different settings and in different educational levels with the help of different tools.The meta‐analysis consisted of 31 primary studies reported results obtained from experimental vs. control group design. Implications for practice and/or policy: Language instructors are requested to incorporate CAPT in their teaching of L2 pronunciation.The integration of CAPT can be to any educational stage (i.e., schools, colleges, etc.).To optimize the benefits of CAPT, instructors should consider integrating videos, games, and other multimedia elements into their teaching practices. [ABSTRACT FROM AUTHOR]

Introduction: Media comparison studies examining the effectiveness of immersive virtual reality in education have yielded inconclusive findings, leaving the question of its impact on learning compared to conventional media unanswered. To address this issue, our study employs a novel approach that combines media comparison with an investigation on the influence of broader educational context. Methods: In the experiment, 262 students from two distinct types of lower secondary schools—comprehensive school and multi‐year gymnasium (a selective academic school)—participated. The students received a lesson on topography and contour line interpretation, using either an immersive virtual environment or a PowerPoint slideshow. A transfer test was carried out before, immediately after, and 1 month after the lesson to measure knowledge application. Results: The impact of the media (immersive virtual reality vs. PowerPoint slideshow) on learning outcomes was found to be minimal, with no clear advantage of one over the other in any experimental condition. In contrast, a significant influence on learning gains was observed due to school type. Multi‐year gymnasium students consistently outperformed comprehensive school students in the pre‐test and demonstrated greater learning gains, regardless of the learning media. Conclusion: The present study employs an innovative approach by integrating a comparative analysis of different media types with an investigation into the impact of learner characteristics. By including students from distinct types of schools, the study provides insights into the differential effects of immersive virtual reality in varied educational contexts. Lay Description: What is already known about this topic: Media comparison studies typically assess the effectiveness of immersive virtual reality as a learning medium in comparison to other instructional methods in education.The findings of these studies differ markedly.Numerous factors impact learning outcomes in an immersive virtual environment. What this paper adds: Recommendation that research in the field should explore not only if but also when and how IVR learning is effective.Evidence that learning achievements may not be affected by the medium used.Evidence that the type of school can significantly influence learning gains.Evidence that cognitive dispositions, such as spatial abilities, can be another factor that influence learning outcomes. Implications for practice: A technology‐centred approach alone does not allow for a proper evaluation of the learning gain potential of IVR, learner characteristics and broader educational context should also be taken into account.IVR as a learning medium may not be appropriate for all students and every educational setting.To ensure reliable evaluation of learning gains, it is necessary to align the content and format of the intervention in both learning mediums as closely as possible.Measuring learning gains not only immediately after the intervention but also with a significant time delay can contribute to a more comprehensive understanding. [ABSTRACT FROM AUTHOR]

Background: Peer assessment has played an important role in large‐scale online learning, as it helps promote the effectiveness of learners' online learning. However, with the emergence of numerical grades and textual feedback generated by peers, it is necessary to detect the reliability of the large amount of peer assessment data, and then develop an effective automated grading model to analyse the data and predict learners' learning results. Objectives: The present study aimed to propose an automated grading model with reliability detection. Methods: A total of 109,327 instances of peer assessment from a large‐scale teacher online learning program were tested in the experiments. The reliability detection approach included three steps: recurrent convolutional neural networks (RCNN) was used to detect grade consistency, bidirectional encoder representations from transformers (BERT) was used to detect text originality, and long short‐term memory (LSTM) was used to detect grade‐text consistency. Furthermore, the automated grading was designed with the BERT‐RCNN model. Results and Conclusions: The effectiveness of the automated grading model with reliability detection was shown. For reliability detection, RCNN performed best in detecting grade consistency with an accuracy rate of 0.889, BERT performed best in detecting text originality with an improvement of 4.47% compared to the benchmark model, and LSTM performed best with an accuracy rate of 0.883. Moreover, the automated grading model with reliability detection achieved good performance, with an accuracy rate of 0.89. Compared to the absence of reliability detection, it increased by 12.1%. Implications: The results strongly suggest that the automated grading model with reliability detection for large‐scale peer assessment is effective, with the following implications: (1) The introduction of reliability detection is necessary to help filter out low reliability data in peer assessment, thus promoting effective automated grading results. (2) This solution could assist assessors in adjusting the exclusion threshold of peer assessment reliability, providing a controllable automated grading tool to reducing manual workload with high quality. (3) This solution could shift educational institutions from labour‐intensive grading procedures to a more efficient educational assessment pattern, allowing for more investment in supporting instructors and learners to improve the quality of peer feedback. Lay Description: What is already known about this topic: Peer assessment has played an important role in large‐scale online learning, as it helps promote the effectiveness of learners' online learning.Issues such as disagreement between peer assessors, rough assessment, and plagiarism in large‐scale online learning can decrease peer assessment reliabilityIncorporating extensive data into a training model may result in grading uncertainties. What this paper adds: Detecting the peer assessment reliability before grading is essential in the context of large‐scale online learning.This study aimed to propose and validate an automated grading model with reliability detection for the large‐scale online peer assessment, which will help improve the effectiveness of automated grading, combining the advantages of computer technology and human expertise. Implications for practice and/or policy: The introduction of reliability detection is necessary to help filter out low reliability data in peer assessment, thus promoting effective automated grading results.This solution could assist assessors in adjusting the exclusion threshold of peer assessment reliability, providing a controllable automated grading tool to reducing manual workload with high quality. [ABSTRACT FROM AUTHOR]

Background: Research on cognitive effects of educational games in general shows promising results. However, there are large variations in learning outcomes between individual educational games. Research on the design process and different design elements of educational games has led to some interesting directions, but some design aspects remain unclear. Objectives: We examined how an educational game designed on the basis of intrinsic integration theory, based on a strong alignment between game and learning goals, supports the learning of Newtonian mechanics. Methods: This study applied a mixed‐methods approach (N = 223). A pre‐ and post‐test design was used to examine possible learning and transfer effects fostered by playing the educational game, Newton's Race. To examine how players played the game, log data for each player were digitally recorded during gameplay. Results and Conclusions: Our findings demonstrated a significant positive learning effect of Newton's Race (p = 0.003, d = 0.201). This can be explained through the acquired log data. Log data show that players' gameplay mostly matched expected learning during the game, with physically correct game settings occurring more and more as gameplay progressed. The ability to transfer learned knowledge to other situations was shown to be limited to situations closely resembling the game environment. Implications: Similarly, designed intrinsically integrated games on different (physics) subjects could also foster learning in a relative short time. To foster transfer to other situations we propose embedding the game within other instructional activities. Lay Description: What is already known about this topic?: Research on cognitive effects of educational games in general shows promising results.There are large variations in learning outcomes between individual educational games.Some design aspects remain unclear on the design process and different design elements of educational games.Attempting to integrate learning with gameplay, without affecting the enjoyability of the game, is not easily achieved. What this paper adds?: The current study fits within the research body that emphasizes the importance of aligning gameplay with learning in educational games (i.e., intrinsic integration).Evidence for intrinsic integration as a key element in the design process, found by examining players' log data.A better understanding of how an intrinsically integrated game supports the learning of Newtonian mechanics. Implications for practice and/or policy: Similarly, designed intrinsically integrated games on different (physics) subjects could also foster learning in a relative short time.To foster transfer to other situations we propose embedding the game within other instructional activities. [ABSTRACT FROM AUTHOR]

Background: Virtual reality (VR) offers significant potential for hands‐on learning environments by providing immersive and visually stimulating experiences. Interacting with such environments can bring numerous benefits to learning, including enhanced engagement, knowledge construction, and higher‐order thinking. However, many current VR studies in hands‐on learning tend to utilise one‐way learning materials, limiting participants' ability to interact with and reflect on their actions and learning experiences. Moreover, these studies often neglect to assess learners' capacity to transfer their skills from VR learning to real‐world scenarios. Therefore, this study aims to investigate participants' engagement, learning outcomes, higher‐order thinking, and their ability to apply acquired skills in real‐world contexts. Method and Objective: Participants were immersed in a hands‐on learning environment in VR, where they received feedback and engaged in reflection during the learning process. This study recruited 68 university students to participate in the experiment, employing a quasi‐experimental design. Participants experienced learning units both with and without reflection on the feedback. The theme of these learning units was related to embedded systems, encompassing topics such as the assembly of embedded components and Python programming. The investigation aimed to assess whether reflection in VR could enhance cognitive levels, engagement, real‐world hands‐on tasks abilities, and higher‐order thinking. Results: The research results indicate that in the VR hands‐on learning environment, participants engage in reflection through the provided feedback, effectively enhancing their engagement, cognitive levels, and hands‐on task abilities. Simultaneously, it also successfully assists participants in developing problem‐solving skills and critical thinking in higher‐order thinking. Conclusions: Participants actively engaged in reflection on their own learning tasks and actions within the hands‐on learning environment, enabling them to develop a deeper understanding of the learning material and enhance their real‐world hands‐on tasks abilities, we encourage the integration of reflection strategies in VR learning environments for hands‐on learning, as they can yield positive benefits for learners. Lay Description: What is already known about this topic: Virtual reality learning environments can enhance students' cognitive levels.Higher‐order thinking has a significant impact on hands‐on learning.Reflection has an important influence on the cognitive process. What this paper adds: Providing reflection through feedback in a virtual reality environment increases learning engagement and promotes higher‐order thinking.Reflection in virtual reality enhances cognitive levels and practical abilities. Implications for practice and/or policy: We demonstrated the effectiveness of providing reflection through feedback in a VR hands‐on learning environment.Learners, through reflection in VR, enhance higher‐order thinking, engagement, cognitive levels, and practical abilities. What are the 1 or 2 major takeaways from the study: Providing reflection in VR learning environments used for training or hands‐on learning can effectively promote cognitive levels, engagement, higher‐order thinking abilities, and practical skills.Through VR reflection, we reveal the potential of cultivating higher‐order thinking through VR. [ABSTRACT FROM AUTHOR]

Background: Data literacy (DL) is vital for teachers, as it enables them to build on data and improve teaching and learning. Therefore, developing DL among pre‐service teachers is critical. Objectives: The purpose of this study is threefold: to evaluate whether a feedback visualisation of peer assessment‐based teaching approach (FVPA‐based teaching approach) can (1) promote pre‐service teachers' DL; (2) enhance their learning motivation; and (3) improve their cognitive load. Methods: The research was conducted based on a pre‐test‐post‐test control group quasi‐experimental design. With 20 participants in the experimental group and 21 in the control group, a total of 41 pre‐service teachers were included in the study. The pre‐service teachers in the experimental group adopted the FVPA‐based teaching approach, and those in the control group adopted the traditional peer assessment‐based learning approach. Results and Conclusions: The experimental group participants outperformed the control group participants in DL, learning motivation, and cognitive load. FVPA was conducive to helping pre‐service teachers critically interpret data, understand their teaching and learning issues, and improve self‐reflection. The findings indicate a reciprocal relationship between learning motivation and DL; improving the learning motivation of pre‐service teachers could promote their DL. Implications: This study contributes to current knowledge by providing empirical evidence on the benefits of an FVPA‐based teaching approach in improving pre‐service teachers' DL, motivation, and cognitive load. The study findings, limitations, and prospects for future research are discussed. Lay Description: What is already known about this topic?: Teacher data literacy has emerged as a crucial competency for the forthcoming generation of educators, gaining attention from education institutions globally.Peer assessment, a well‐established practice in pre‐service teacher education, has proven effective in enhancing the learning experience for disadvantaged students by fostering motivation and improving academic performance.Despite the acknowledged benefits of feedback visualisation in facilitating self‐reflection, motivation, and academic performance, creating meaningful visualisations remains a challenge for educators and learners. What this paper adds?: This study introduces feedback visualisation in peer assessment to enhance comprehension of feedback information among pre‐service teachers.Feedback visualisation augments the benefits derived from peer assessment, refining data literacy, improving learning motivation, and alleviating cognitive load among pre‐service educators.The analysis of data directly relevant to pre‐service teachers and the provision of timely feedback can motivate critical analysis and utilisation of data, facilitating the identification of pedagogical and learning challenges.The study explores intricate interactions among learning motivation, data literacy, and cognitive load within the context of peer assessment visual feedback. The implications of study findings for practitioners: We encourage teacher educators to implement peer assessment instruction grounded in visual feedback for a comprehensive understanding of learning outcomes, identification of pedagogical challenges, determination of causes, and evidence‐informed instructional decision‐making.Teacher educator should diversify strategies to augment the motivation of pre‐service teachers, cultivating their proactive engagement in data analysis, interpretation, and application to enhance overall data literacy.We recommend that teacher educators provide rich visual feedback or present complex data in a visually accessible format for pre‐service teachers who need additional assistance to mitigate cognitive load and facilitate successful learning outcomes. [ABSTRACT FROM AUTHOR]

Background: Guided gaze is the instructor's gaze towards teaching materials to guide students' attention, and it plays a vital role in enhancing video‐based education. The duration of guided gaze, indicating how long instructors focus on teaching materials, varies based on the lecture design. Nevertheless, the impact of varying durations of guided gaze, especially concerning students' prior knowledge, remains inadequately understood. Objectives: This study investigates the influence of the instructor's guided gaze duration and students' prior knowledge on learning performance and affective experiences in video lectures. Methods: 145 fifth‐grade students participated and were divided into high and low prior knowledge groups based on a pre‐test. Within each group, students were randomly assigned to view one of three video lectures with different guided gaze durations (high vs. medium vs. low). Learning performance and affective experiences (learning experience, satisfaction, and emotions) were measured as dependent variables. Results and Conclusion: The results revealed that low guided gaze duration significantly improves learning performance for students with low prior knowledge. Conversely, high guided gaze duration negatively impacts learning experience, satisfaction, and positive emotions. Additionally, students with high prior knowledge reported higher learning experience and satisfaction. These findings highlight the interaction between guided gaze duration and prior knowledge in students' learning performance. Implications: Our findings provide valuable implications for the design of guided gaze duration in video lectures based on students' prior knowledge. By adjusting guided gaze duration appropriately, instructors can optimise students' learning performance and affective experiences. Lay Description: What is already known about this topic: Guided gaze is the instructor's gaze on teaching materials, guiding students' attention to relevant information.Guided gaze duration measures the amount of time instructors spend looking at teaching materials.Prior knowledge can modulate the impact of instructors' guidance on students' learning performance.It remains unclear whether guided gaze duration affects the learning outcomes of students with varied prior knowledge. What this paper adds: Guided gaze duration is divided into three levels (high, medium, and low), indicating the percentage of time the instructor looks at teaching materials.High guided gaze duration has negative effects on students' learning experience, satisfaction, and positive emotions.Students with high prior knowledge have higher learning performance, experience, and satisfaction.Low guided gaze duration improves learning performance for students with low prior knowledge. Implications for practice and/or policy: Instructors should use low guided gaze duration for students with low prior knowledge.Instructors should aim to reduce the use of high guided gaze duration. [ABSTRACT FROM AUTHOR]

Background: Learning analytics (LA) research often aggregates learning process data to extract measurements indicating constructs of interest. However, the warranty that such aggregation will produce reliable measurements has not been explicitly examined. The reliability evidence of aggregate measurements has rarely been reported, leaving an implicit assumption that such measurements are free of errors. Objectives: This study addresses these gaps by investigating the psychometric pros and cons of aggregate measurements. Methods: This study proposes a framework for aggregating process data, which includes the conditions where aggregation is appropriate, and a guideline for selecting the proper reliability evidence and the computing procedure. We support and demonstrate the framework by analysing undergraduates' academic procrastination and programming proficiency in an introductory computer science course. Results and Conclusion: Aggregation over a period is acceptable and may improve measurement reliability only if the construct of interest is stable during the period. Otherwise, aggregation may mask meaningful changes in behaviours and should be avoided. While selecting the type of reliability evidence, a critical question is whether process data can be regarded as repeated measurements. Another question is whether the lengths of processes are unequal and individual events are unreliable. If the answer to the second question is no, segmenting each process into a fixed number of bins assists in computing the reliability coefficient. Major Takeaways: The proposed framework can be a general guideline for aggregating process data in LA research. Researchers should check and report the reliability evidence for aggregate measurements before the ensuing interpretation. Lay Description: What is currently known about this topic: Aggregating learning process data is common in learning analytics.The psychometric pros and cons of aggregating process data are rarely examined. What this paper adds: If the construct of interest is stable during a period, aggregation over this period is desirable.Aggregation over a long period masks meaningful changes in learning behaviours.A guideline for choosing proper reliability coefficients for aggregate measurements is proposed.Methods for computing reliability estimates when processes vary in length are provided. Implications for practice: Report reliability evidence for aggregate measurements for the sake of psychometric rigour.A short period causes unreliable action‐related indicators in learning analytics dashboards.A long period causes inaccurate indicators of learners' current state. [ABSTRACT FROM AUTHOR]

Background: Undergraduates' collective epistemic agency is critical for their productive collaborative inquiry and knowledge building (KB). However, fostering undergraduates' collective epistemic agency is challenging. Studies have demonstrated the potential of computer‐supported collaborative inquiry approaches, such as KB—the focus of this study, and reflective assessment to foster collective epistemic agency. Objectives: This study used a quasi‐experimental design to examine the impact of reflective assessment on undergraduates' collective epistemic agency and the mechanisms of this impact. Methods: An experimental class, comprising 40 undergraduates, engaged in KB inquiry enhanced by analytics‐assisted reflective assessment, while a comparison class, comprising 41 undergraduates, engaged in portfolio‐supported reflective assessment in KB inquiry. Classroom observations, audio recordings of group discussions and reflections, and student artefacts were collected in both conditions. Results and Conclusions: The experimental class demonstrated significantly higher levels of collective epistemic agency than the comparison class, as indicated by their collective knowledge advancement and epistemic and metacognitive actions. Qualitative thematic analysis revealed that reflective assessment enhanced the undergraduates' collective epistemic agency through their collective monitoring and regulation of inquiry and ideas, negotiation and synthesis of the community's ideas, conceptualization of collective theories and identification of collective inquiry trajectories with an internal reflective structure. Major Takeaways: Higher‐level metacognitive actions are critical for productive collaborative inquiry and higher‐level epistemic agency that does not often occur naturally and should be promoted by appropriate scaffolding strategies. Students need data from learning analytics and accompanying prompt sheets to help them develop the internal metacognitive structure for agency and learning. Lay Description: What is currently known about this topic?: Undergraduates' collective epistemic agency (CEA) is critical for productive KB.Analytics‐assisted reflective assessment (AARA) are promising in fostering CEA. What does this paper add?: AARA has positive influences on students' CEAAARA helps students develop CEA through the following mechanisms.AARA supports students' collective regulation and negotiation of collective ideas.AARA enhances conceptualization and deepening of collective trajectories with an internal reflective structure. Implications for practice/or policy: Higher‐level metacognitive actions are critical for collaborative inquiry and CEAAnalytics‐assisted RA can enhance students' higher‐level metacognitive actions.Students should be provided with learning data and appropriate scaffolding strategies.These data and strategies can develop students' internal metacognitive structure crucial for agency and learning. [ABSTRACT FROM AUTHOR]

Background: Deep discussions play an important role in students' online learning. However, researchers have largely focused on engaging students in deep discussions in online asynchronous forums. Few studies have investigated how to promote deep discussion via mobile instant messaging (MIM). Objectives: In this study, we applied learning analytical tools (i.e., KBdeX and word clouds) to enhance students' shared epistemic agency and thereby support their deep discussions in MIM. Methods: Forty Chinese college students participated in this study and reflected on their MIM engagement by participating in the learning analytics (LA)‐augmented meta‐discourse sessions. The study used multiple data analysis methods, including content analysis, statistical analysis, epistemic network analysis and lag sequential analysis. Results: We found that LA engaged students in deep discussions and shared epistemic agency‐related discourse, such as creating shared understanding, creating knowledge objects, and projective and regulative processes. In particular, word clouds engaged students in more complete shared epistemic agency discourse trajectory which started from creating awareness of unknowns, then progressed to setting projective plans and sharing information, and ultimately, creating shared understanding. Moreover, our analysis indicated that epistemic agency discourse moves of creating shared understanding led students to a high level of deep discussion. Implications: This study contributes to research by extending the 'comparison paradigm', which focuses on comparing (a)synchronous forums with MIM, to a 'design paradigm', which mobilises design features from (a)synchronous forums to MIM and using learning analytical tools to engage students in deep online discussions by promoting their epistemic agency. Lay Description: What is known in this subject matter: Supporting students' online deep discussions is important.Prior studies have shown multiple technological and pedagogical strategies to support deep discussions in (a)synchronous discussion forums, but few studies in mobile instant messaging (MIM).MIM is a quasi‐synchronous tool. It is difficult to transform the traditional external scaffolds (i.e., scripts or teachers' facilitation) which promote deep discussions from (a)synchronous forums to MIM. What this paper adds to this: We constructed a design framework which used learning analytical tools‐augmented meta‐discourse to engage students in shared epistemic agency discourse moves to promote their deep discussion in MIM.We conducted multiple types of analyses (content analysis, statistical analysis, epistemic network analysis and lag sequential analysis) on students' WeChat message (a major MIM in China).Results indicated both learning analytical tools helped engage students in shared epistemic agency discourse moves, such as creating shared understanding, creating knowledge objects, projective and regulative, thus, to promote students' deep discussions. Word cloud especially engaged students in more complete shared epistemic agency discourse trajectory. Moreover, analysis results indicated that shared epistemic agency discourse moves of creating shared understanding would lead students to a high level of deep discussions. Implications of study findings for practitioners: Our study provides a feasible way to educational practitioners who want to promote students' deep discussions in their online learning course (both fully online and flipped classroom mode).Knowledge Building Discourse Explorer (KBDeX presents the original analysis results of students' written messages in discussion forums as socio‐cognitive networks.) could be implemented in the classroom. The objective is to encourage students to understand the importance of connecting with peers' ideas in a one‐session implementation period.If time allows, teachers could use word cloud and meta‐discourse to engage students in socio‐metacognitive conversations in class to promote their shared epistemic agency discourse in online discussions. [ABSTRACT FROM AUTHOR]

Background: With the development of computational literacy, there has been a surge in both research and practice application of text‐based and block‐based modalities within the field of computer programming education. Despite this trend, little work has actually examined how learners engaging in programming process when utilizing these two major programming modalities, especially in the context of secondary education settings. Objectives: To further compare programming effects between and within text‐based and block‐based modalities, this research conducted a quasi‐experimental research in China's secondary school. Methods: An online programming platform, Code4all, was developed to allow learners to program in text‐based and block‐based modalities. This research collected multimodal data sources, including programming platform data, process data, and performance data. This research further utilized multiple learning analytics approaches (i.e., clustering analysis, click stream analysis, lag‐sequential analysis and statistics) to compare learners' programming features, behavioural patterns and knowledge gains under two modalities. Results and Conclusions: The results indicated that learners in text‐based modality tended to write longer lines of code, encountered more syntactical errors, and took longer to attempt debugging. In contrast, learners in block‐based modality spent more time operating blocks and attempt debugging, achieving better programming knowledge performances compared to their counterparts. Further analysis of five clusters from the two modalities revealed discrepancies in programming behavioural patterns. Implications: Three major pedagogical implications were proposed based on empirical research results. Furthermore, this research contributed to the learning analytics literature by integrating process‐oriented and summative analysis to reveal learners' programming learning quality. Lay Description: What is currently known about the subject matter: Programming has the potential to improve learners' higher‐order thinking skills.Block‐based and text‐based modalities are two major instructional methods.There has been a growing interest to understand how learning occurs in two modes.Most previous work has evaluated two modalities based on learners' knowledge, skills, and attitudes. What this paper adds: Code4all allows learners to programming in text‐based and block‐based modalities.Quasi‐experimental research was conducted to examine block‐based and text‐based programming modalities.Multimodal learning analytics were used to compare programming under two modalities.Learners' programming features, behaviouralbehavioral patterns, and knowledge gains were identified under two modalities. The implications of study findings for practitioners: Instructors should integrate text‐based and block‐based modalities into programming courses.Process‐oriented assessment should be integrated with summative assessment. Adaptive, timely scaffoldings should be provided with the external support (this should be marked like above two points). [ABSTRACT FROM AUTHOR]

Background: Game‐based learning can frame problem‐solving as a sense‐making experience with domain‐specific tasks for school students. However, multiple challenges arise when trying to support learners in such a complex, problem‐oriented learning environment. Objectives and Methods: With an architecture‐themed mathematics learning game, we conducted two mixed‐method studies to explore the impact and design of game‐based mathematical experience on the math problem‐solving performance of middle school students. Results and Conclusions: The study findings suggested a positive impact of game‐based math experience on math problem‐solving for middle school students. Problematization‐oriented game‐based math tasks with structuring features enhanced students' reasoning with problems and channelled it to doing mathematics. Takeaways: The current research findings support the initiative to frame learning as a sense‐making experience with domain‐specific tasks and inform the design of game‐based mathematical experience and learning support. Lay Description: What is already known about this topic: Realistic mathematical practices frame learning as a sense‐making experience.Challenges arise when involving learners in realistic mathematical experiences driven by domain‐specific tasks. What this paper adds: Game‐based simulation of math tasks framed learning as sense‐making experience.Game‐based math experiencing promoted math contextual problem‐solving performance.Structuring features enhanced problematized experiencing with math tasks. Implications for practice and/or policy: Teachers can integrate and facilitate game‐based math experiencing in class.Efforts should be made to make game‐based math tasks meaningful for students. [ABSTRACT FROM AUTHOR]

Background: Even though monitoring and control enactment are key aspects of self‐regulated learning (SRL), Adaptive learning technologies (ALTs) may reduce the need for learners to monitor and control their learning. Personalized dashboards are effective in supporting learners' monitoring and can potentially support control behaviour. Allowing learners to enact control over their learning process, seems to hold potential for increasing their motivation. Objectives: Therefore, this study's aim was to investigate the relation between control enactment and motivation. We examined how learners enacted control while learning with an ALT with personalized dashboards and examined the relation between learners' enactment of control and their motivation. Methods: Seventy‐eight primary school learners (Grade 5) participated. During the lesson, learners worked on mathematics in the ALT and concurrently were shown personalized visualizations that supported monitoring and enacting control over their learning process. Learners could enact control to change problems' difficulty to easy, medium, or hard. Motivation was measured before and after learning. Results: The SEM analyses showed that how learners enacted control was related to their motivation. Choosing difficult problems was related to more enjoyment and competence while choosing easy problems related to more pressure and tension. Learners who complied with the suggested difficulty level experienced less choice, but also less pressure/tension and more enjoyment and competence. Conclusions: These results provide avenues to account for broader learner characteristics like SRL and motivation to optimize learning. This way, hybrid systems in which control enactment is a shared responsibility of the system and learner, can be improved to support SRL development. Lay Description: What is currently known: Monitor and control enactment are key aspects of self‐regulated learning (SRL).Adaptive learning technologies may reduce the need for learners to monitor and control their learning.Personalized dashboards support learners' monitoring behaviour and can potentially also support control enactment.Enactment of control could positively affect learners' motivation. What does this paper add: There is a large variation in how learners enact control and whether they comply with the scaffold.Learners who chose more difficult problems experienced more enjoyment, while learners choosing easy problems, experienced more pressure.Learners complied with the scaffold, experienced less choice, but also less pressure and more enjoyment.This study provides avenues to account for broader learner characteristics like SRL and motivation to optimize learning. Practical implications: Support control enactment by actively involve learners in choice during the learning process.Offer monitor and enactment in conjunction, as learners can only make well‐founded choices if they can monitor their learning process.Intrinsically and extrinsically motivated learners showed different choice patterns and learning experience.It is important to have an understanding and monitoring of learners' motivation. [ABSTRACT FROM AUTHOR]

Background Study: Previous systematic reviews concluded that online professional‐learning communities (OPLCs) have positive effects on teachers' development, but explored neither the technological affordances that make this possible nor the potential negative impacts of technology use in OPLCs. Objectives: The aim of this study is to systematically analyse previous research on teachers' OPLCs, and thus help answer the question of what technological affordances (dis)empower members of teachers' OPLCs, and how they do so. Methods: This study applied the systematic‐review method. A total of 28 studies were identified and analysed using rigorously defined inclusion and exclusion criteria. The results are reported as a synthesis. Results and Conclusions: First, in theme, the selected articles primarily focused on features of OPLCs and of teachers' knowledge. Second, mixed‐methods approaches were commonly used in the sampled research, and the number of studies employing advanced statistical methods and machine learning increased over time. And third, the reviewed studies' findings suggest that technology supports 'bottom‐up' teachers' communities (as distinct from 'top‐down' professional development organized by educational authorities) in seven ways: that is, by promoting collaboration opportunities, expanding the participants' networks, facilitating knowledge sharing, delivering support more rapidly, providing emotional support, allowing ubiquitous learning, and enabling multiple modes of participation. Lay Description: What is currently known about the subject matter: Previous reviews found OPLCs have positive effects on teachers' development. What their paper adds to this: What technological affordances empower teachers in OPLCs.How technological affordances empower teachers in OPLCs. The implications of study findings for practitioners: The sampled articles primarily focused on OPLC features and teacher knowledge.Mixed‐methods approaches were commonly used.Technology provides various affordances to 'bottom‐up' teachers' communities. [ABSTRACT FROM AUTHOR]

Background Study: Technology‐supported learning environments, act as significant observational and enabling indicators for evaluating and encouraging the digital revolution of education, are of vital importance in current educational research. Keeping track of the dynamics of technology‐supported learning environment research allows for the enrichment of theoretical studies and a prompt innovation of talent‐training environments. Objectives: The present study carried out a bibliometric analysis of the core collection of WoS database over the last two decades. Method: This study is a bibliometric research. We applied CiteSpace and VOSviewer for co‐occurrence and evolution analysis. In addition, we extracted the fundamental ideas and thoughts through reading and analysis. Results: First, the study found that technology‐supported learning environment research is in a growth phase, with core journals such as Interactive Learning Environments or Computers & Education. The findings show that a core research team comprised of such scholars as Hwang Gwo‐Jen, Lester James C. and Wong Lung‐Hsiang. Key nations of publishing and research strength are from China, the United States, the United Kingdom and the Netherlands. Second, the hot topics in research on technology‐supported learning environments were virtual learning environments, technology‐enabled learning environments and interactive learning environments. Nine study specifics were derived from these three topics such as moulding function, generating scenario, stimulating sensation, effect verification, design idea, research reflection, inquiry and research, virtual community, and mixed environment. Lastly, the frontier evolution offers a pattern of development from enhancing performance to changing mode to incorporating experience. Conclusion: Looking ahead, our research recommendations for the field of technology‐supported learning environments include a multifaceted approach. We should aim to enhance research designs and methodologies, develop contemporary guiding theories and strive for a balanced representation across various educational domains, expanding our scope to encompass all academic disciplines. In terms of practical application, it is imperative to focus on the design and implementation of technology‐supported learning environments from three critical perspectives: "change‐demand," "student‐learning" and "online‐offline." These approaches will collectively ensure that technology‐supported learning environments are both innovative and responsive to the diverse needs of the educational landscape. Lay Description: What is already known about this topic: Technology‐supported learning environments are currently a focal and hot research topic in the field of education.Although numerous studies have been conducted on the learning environment of technical support, there has yet to be a systematic and comprehensive review of the related research. What this paper adds: This study provides a comprehensive review of research on the technology‐supported learning environments over the past two decades.This study primarily presents an overview of research on the technology‐supported learning environments over the past two decades, focusing on main literature, research strength, hot topics and frontier evolution. Implications for practice and/or policy: Researchers need to further advance research on technology‐supported learning environments by enriching research designs and methods, constructing up‐to‐date guiding theories and achieving a balance across different educational domains while extending the reach to all disciplines.Educational practitioners need to pay attention to the design and implementation of technology‐supported learning environments from the three viewpoints of "change‐demand," "student‐learning" and "online‐offline." [ABSTRACT FROM AUTHOR]

Background: Research into enhancing the effectiveness of information delivery in asynchronous video lectures remains sparse. This study analyzes the nonverbal teaching behaviours in asynchronous online videos, drawing comparisons between pre‐service and in‐service teachers (ITs). Objectives: This research primarily aims to juxtapose the nonverbal teaching behaviours, such as arm extensions and body orientation, utilized by pre‐service teachers (PTs) and ITs within asynchronous online videos. Methods: Asynchronous video lectures from four pre‐service and four ITs across four diverse subject topics were scrutinized. Leveraging deep learning technology, teachers' poses during their instruction towards a video camera were quantified, with a particular focus on arm stretch range and body orientation in relation to the subject being taught. Results: The findings revealed that PTs were deficient in effectively employing pointing gestures. Their arm stretches and body orientation towards the board were not differentiated across subjects. Conversely, ITs demonstrated subject‐specific variations in their arm extension and body orientation, signalling their effective strategies for knowledge dissemination. Conclusions and Discussion: This study emphasizes the importance of assessing nonverbal teaching behaviours in the development of effective instructional training. It accentuates the need for nonverbal communication and subject‐specific teaching strategy training in PTs. Future investigations could broaden their scope to include larger sample sizes and expanded subject areas to discern more comprehensive trends in nonverbal teaching behaviours. Lay Description: What is already known about this topic: The proliferation of online and distance learning has been largely driven by the widespread utilization of asynchronous video lectures.However, the focus of video analysis regarding teaching practices has predominantly been on in‐class activities. This has resulted in the underdevelopment of methods for delivering knowledge through asynchronous video lectures.Research into enhancing the effectiveness of information delivery within asynchronous video lectures remains sparse. What this paper adds: This study contributes to the development of teaching techniques for asynchronous online lectures through a comparative analysis of nonverbal teaching behaviours between pre‐service and in‐service teachers within asynchronous lecture videos.The findings suggest that pre‐service teachers have a deficiency in knowledge regarding the effective use of demonstrative gestures. Implications for practice and/or policy: Considering the widespread use of asynchronous video lectures – including flipped and blend learning, the training of pre‐school teachers using video analysis is requiredThe creation of a robust metric for developing knowledge delivery methods is feasible and advisable, potentially by leveraging state‐of‐the‐art technology such as deep learning. [ABSTRACT FROM AUTHOR]

Background: While the effectiveness of tutoring‐style videos has been reported in previous studies conducted in laboratories, how these types of videos facilitate students' learning experiences and achievement has not been much explored in prior studies, which prevents discussion on how to design such tutoring‐style videos. Objectives: In this study, we addressed the limitations reported in studies conducted in authentic classes and attempted to explore students' learning patterns and experiences with tutoring‐style videos involving interactions between the instructor and agents. In addition, we attempted to reveal what instructional strategies can be used in tutoring‐style videos to enhance students' engagement and achievement. Methods: The study took place in an undergraduate introductory biology class offered at a university located in the Midwest of the United States. The same instructor taught two sections of this course which lasted for 15 weeks during a Spring semester. The two sections were randomly assigned to an experimental group in which participants watched tutoring‐style videos and a control group with participants watching traditional videos. The experiment was administered in a module lasting two and a half weeks focused on microbiology. Surveys and tests were conducted to determine whether the tutoring‐style videos had a positive impact on student engagement and achievement. In addition, a video content analysis was carried out to elicit insights on how to design effective tutoring‐style videos. Results: For students' emotional engagement and perceived usefulness, no significant difference was found between the two groups, even though the descriptive statistics indicated slightly higher scores from the experimental group than the control group on both subscales. In terms of achievement, the participants reported significantly more learned concepts from watching rich‐interactions in the tutoring‐style videos than the participants in the control group; and they also reported a significantly smaller number of learned concepts from watching one‐interactions in the videos than the control group participants. We also found that instruction in the tutoring‐style videos used effective strategies for facilitating students' participation and cognitive processing. Conclusions: Our findings indicate that tutoring‐style videos can be effective learning materials by allowing students to engage in interactions between instructors and agents in the videos. The more instructional strategies used to facilitate the interactions between the instructor and the agents, the higher engagement can be expected from viewers. Our study would inform the design and development of effective tutoring‐style videos. Lay Description: What is already known about this topic: One‐on‐one tutoring is the gold standard in teaching.Tutoring‐style videos are found to be effective in teaching as well. What this paper adds: Tutoring‐style videos that film rich interactions lead to better learning.Tutoring‐style videos that film limited interactions are ineffective.Students who see agents in tutoring‐style videos as helpful perform better. Implications for practice and/or policy: Tutoring‐style videos should film rich interactions of tutoring sessions.Strategies should be used in videos to facilitate perceived agents' usefulness.Tutoring sessions filmed in videos should encourage a participatory atmosphere. [ABSTRACT FROM AUTHOR]

Background: Haptic feedback has been shown to be an effective facilitator of the learning of scientific concepts in a series of studies. However, little is known about the underlying salient learning mechanisms, which are activated when learning from haptic feedback. Objectives: We investigate the learning mechanism in a higher chemistry education setting, in which the students learned about the abstract concept of potential energy in a quantum chemical context. Methods: In this work, we present a mixed‐methods problem‐solving prior to instruction (PS‐I) study with chemistry bachelor students. In an interactive quantum chemistry learning environment, the students explored the energetic profiles of nucleophilic substitution reactions and the corresponding activation barriers experienced as repulsion and attraction. We measured cognitive and affective mechanisms which have been shown to be activated in PS‐I designs, such as knowledge gap awareness, state curiosity, and positive affect as well as the learning outcome quantitatively and the learning trajectories qualitatively. Results and Conclusions: Planned contrasts revealed a small hindering effect of the haptic feedback on the learning outcome. Thematic analysis of the qualitative data lets us attribute this effect to the lack of scaffolding of the haptic feedback and the spontaneous atomic movements in the simulation, which may be interpreted as a visual representation of force in itself. This work highlights the importance of accurate mappings of the haptic feedback unto the target domain and further delivers insight into the prior conceptions of chemistry undergraduate students. Lay Description: What is already known about this topic: Haptic feedback can facilitate learning by grounding abstract concepts in sensory experiences.While previous studies have reported positive affective results, the cognitive results are ambiguous.Moreover, it was frequently reported that the learning of potential energy in a (quantum) chemical context is particularly difficult due to (i) the lack of grounding opportunities and (ii) the diverse previous conceptions. What this paper adds: A learning environment to interact with molecular systems in real‐time is proposed.The concept of activation energy is grounded in sensory experience of pushing and being pulled.The mixed‐methods design allows to explore cognitive and affective variables as well as the specific prior conceptions activated by the environment. Implications for practice and/or policy: We found a small negative effect of the haptic feedback on the learning outcome, potentially due to insufficient introduction of it to the students.The spontaneous movement of the atoms was identified as a more suitable external representation of the force.Future studies should investigate, if explicit introduction of the embodied metaphor can reverse this effect. [ABSTRACT FROM AUTHOR]

Background: Despite its obvious relevance to computer science, computational thinking (CT) is transdisciplinary with the potential of impacting one's analytical ability. Although countless efforts have been invested across K‐12 education, there is a paucity of research at the postsecondary level about the extent to which CT can contribute to sustainable learning outcomes. Objectives: The current study examines how a series of Arduino‐based robotics learning activities capture the fuller essence of concepts related to CT. Methods: College students (n = 50) completed a series of six robotics learning activities. Think‐alouds, student reflections and performance scores were used to assess students' CT through a robotics challenge in virtual and physical learning environments. Results and Conclusions: Students verbalized CT concepts related to algorithmic thinking much more than abstraction, problem decomposition and testing and debugging. Students exposed to active learning performed better in a virtual robotics challenge compared to their peers in a traditional‐oriented classroom. Students' scores on the physical robotics challenge increased as a function of the number of references they made to CT concepts during the think‐alouds. It is possible to design pedagogical experiences that tap into various dimensions of CT at incremental levels of complexity through a series of Arduino‐based robotics activities. With the integration of an online simulation, students can visualize and transfer their CT skills between a virtual and physical learning environment, thus leading to more sustainable learning outcomes. Lay Description: What is already known about this topic: Computational thinking (CT) is the conceptual foundation for problem‐solving.CT shifted from unplugged to plugged activities.CT concepts can be fostered through educational robotics. What this paper adds: A multi‐dimensional approach to assessing CT.Applications of CT provide insights into skill transfer.An integrative theoretical approach to study the 'how' and the 'what' of CT. Implications for practice: Educational robotics activities can cater to a fuller range of CT skills.Virtual simulations with constructive feedback are beneficial for students in traditional settings.Mixed learning environments contribute to making links between lectures and labs. [ABSTRACT FROM AUTHOR]

Background: Goal setting has been established in the literature as a critical component of self‐regulated learning and for effective problem‐solving. Yet, surprisingly little attention has been focused on goal‐directed behaviour in digital game‐based learning environments (GBLEs) despite their expanding use in educational contexts. Objectives: The current study examined the impact of goal assignment in a GBLE aligned with curricular objectives and played in a classroom context. Methods: Eighth‐grade students (N = 59) in the experiment were randomly assigned to either a mastery goal condition or a performance goal condition before playing Crystal Island—Outbreak. Goal orientation was measured before gameplay, monitoring judgements assessed during gameplay, and enjoyment was measured after game play. Results and Conclusions: Two important results emerged that contribute to the existing literature on goals and GBLEs. First, assignment to the mastery goal condition resulted in significantly higher enjoyment ratings and monitoring judgements but not game performance while considering the influence of pre‐existing goal‐orientation. Second, self‐reported mastery goal orientation and videogame play frequency predicted enjoyment in the game. Implications: The results suggest that enjoyment can be facilitated by orienting students to adopt mastery goals and that developers should consider integrating mastery‐based instructions in their GBLEs. Moreover, instructional goals can influence students regardless of incoming goal orientations. Lay Description: What is already known about this topic: Goal setting has been understudied in game‐based learning environments.Goal setting is a critical component of developing self‐regulated learning skills. What this paper adds: Evidence that assignment to a mastery goal leads to higher reported enjoyment.Evidence that assignment to a mastery goal leads to higher monitoring judgements.Evidence that incoming goal orientations predict enjoyment in a serious game. Implications for practice and/or policy: Enjoyment can be facilitated by orienting students to adopt mastery goals.Serious game developers should consider integrating mastery‐based instructions.Instructional goals can influence students regardless of incoming goal orientations. [ABSTRACT FROM AUTHOR]

Background: Little is known about the effectiveness of instructors when presenting content in videos alone. In recent years, researchers have increasingly begun to explore the effects of instructors' social cues (e.g., eye gaze, body orientation, etc.) on learning. However, previous studies exploring the effects of eye gaze have confounded the role of body orientation, while studies exploring body orientation have confounded the role of eye gaze. Objectives: To explore the role of direct gaze and body orientation in learning with instructional videos, absent an instructional screen, in a less confounded manner. Methods: A total of 63 subjects were presented select concepts regarding schizophrenia. Eye‐tracking technology combined with current theories of parasocial interaction and social agency was used to explore different social cues that affect learning performance. Students were randomly assigned to one of three experimental conditions: frontal body + direct gaze group (FD group), frontal body + no direct gaze group (FND group), and lateral body + no direct gaze group (LND group). Result and Conclusions: Direct gaze facilitated students' immediate retention and transfer scores, reduced learners' extraneous cognitive load, and guided students' attention to the instructor. However, counter to our expectations, parasocial interaction did not affect social cues. Implications: In both online and offline classes, instruction is expected to be enhanced by focusing on the camera to the extent possible, particularly when instructional screens are absent. Lay Description: What is already known about this topic: In recent years, how instructors' social cues (eye gaze, body orientation, gestures, etc.) can improve video learning has aroused widespread concern.Instructors' eye gaze and body orientation can increase society and improve learning in the online learning environment.The empirical research confounds the role of eye gaze and body orientation on video learning when only the instructors are present. What this paper adds: When only the instructor is present in the video, instructor's direct gaze can foster learner's learning outcome in the instructional video.When only the instructor is present in the video, instructor's direct gaze can draw the learner's attention to the instructor's face.When only the instructor is present in the video, instructor's direct gaze can reduce learner's extraneous cognitive load. Implications for practice and/or policy: In online teaching, educators should consider looking at the camera as much as possible, especially when there are no instructional screens. [ABSTRACT FROM AUTHOR]

Background: Existing studies confirm that some video games can change players' attitudes. However, since we do not know the specific elements responsible for attitude change, the potential of video games to achieve desired educational or behavioural outcomes often remains unfulfilled. Objectives: To fill the research gap, our study examined whether the perspective‐taking game mechanic in the serious game Czechoslovakia 38–89: Borderlands, which had previously been shown to affect attitudes, would have the same effect on another sample of players with different characteristics. Methods: We have assessed the effect of a historical video game using a perspective‐taking mechanic on players' explicit and implicit attitudes. Explicit attitude changes were measured at a general level, meaning a broad evaluation of a depicted historical event, and at a specific level, meaning a more detailed evaluation of specific aspects of the event. Simultaneously, we measured the effect of players' perceived attitude importance on attitude change. The study used a sample of 137 young adults. Results and Conclusions: This study's results indicate a significant pretest‐posttest explicit attitude change on the general level and on a specific level in comparison to the control group. Perspective‐taking game mechanics is particularly important for explicit attitude change. No change was found in implicit attitudes. The effect of the perceived attitude importance on attitude change was not confirmed. Takeaways: As one of the first to focus on the effects of specific game mechanics on attitudes, this study confirmed that perspective‐taking has stable, short‐term effects on attitude change even across different research samples. Lay Description: What is currently known about the subject matter: It is unclear why some video games can change players' attitudes while others do not.Several studies confirm video games' effect on explicit, but not on implicit, attitudes.Research on the effects of game mechanics on attitude changes is in its infancy.Very few studies focus on what role player characteristics play in their attitude changes. What our paper adds to this: Perspective‐taking as game mechanics changes explicit attitudes across populations.Perceived importance of players' attitudes towards topics not necessarily affects attitude changes.We show that only some facets of attitudes are influenced by the video game. Implications of study findings for practitioners: Particular game mechanics seem to be essential for attitude changes in players.Attitude importance and other player characteristics need further research in the video game context.DIF‐C analysis can provide more detailed information on changes in more complex explicit attitude concepts.Video games can affect the way we interpret the world around us. [ABSTRACT FROM AUTHOR]

Background: Emotional design of multimedia lessons involves adding features that are intended to increase learner enjoyment and promote learning—such as adding narrative, anthropomorphizing non‐human elements, and using warm colours. Objective: The present study extends this work to examine the potential of Japanese animation (anime) for improving science learning. Method: Specifically, 134 English‐speaking students learned about cells in the human body by viewing the popular anime, Cells at Work, either in Japanese with English subtitles or dubbed in English with no subtitles (anime groups), or by viewing a slideshow containing the same information (slideshow group). The anime conditions were vibrant story‐driven lessons that depicted human‐looking cells working to fight off invaders in a human body that looked like a city. The slideshow used very similar wording as the anime groups, and displayed the cells without anthropomorphism or a storyline. Results and Conclusion: The anime groups did not differ significantly from each other on any dependent measures and were therefore combined. The anime groups scored significantly higher than the slideshow group on retention (d = 0.35) and transfer (d = 0.48) tests. The anime groups also had significantly higher ratings of motivation (d = 0.60) and enjoyment (d = 1.13), whereas, the slideshow group had significantly higher ratings of distraction (d = 0.59). These results support the cognitive‐affective theory of learning with media (CATLM) and demonstrate that anime may be an effective learning medium. Takeaways: Anime should be considered as a medium for science learning, especially when students might not otherwise be motivated to learn. Lay Description: What is currently known about this topic: Anime is a form of Japanese animation similar to an animated comic book.Cells at Work is a series of anime lessons on cells in the human bloodstream.Cells are represented with anthropomorphism, colours, and rounded shapes.Emotional design involves using anthropomorphism, colours, and rounded shapes. What does this paper add: Students viewed an anime or an equivalent slideshow on the human bloodstream.The anime group performed better on a post‐test and reported less distraction.Anime can be considered a form of emotional design for science lessons. What are the implications for practitioners: Anime can be used to teach about cells in the human bloodstream.Instructional designers should consider using anime as a medium for science instruction. [ABSTRACT FROM AUTHOR]

Background: Self‐assessment serves to improve learning through timely feedback on one's solution and iterative refinement as a way to improve one's competence. However, the complexity of the self‐assessment process is widely recognized, as well as that students can benefit from it only if their assessment is accurate enough. Objectives: In order to gain more insight into the self‐assessment process we analysed students' behaviour, accuracy, and question‐related characteristics that influence the capability of self‐assessment in two studies. Methods: The initial study examined 131 undergraduate students using voluntary self‐assessment questions in an online course in a B.Sc. Computer Science program while a year later a replication study with the same research settings was applied to a different cohort of 264 undergraduate students with minor modifications to the question design, in the light of the original findings. Results and Conclusions: Results from both studies show that similar patterns could be observed for usage and of accuracy and score distribution for almost all questions. Item difficulty and comprehensiveness of the sample solution were identified as features of self‐assessment questions affecting student's self‐assessment capability. The replication study showed that task design can be modified to affect students' accuracy. Recommendations to make self‐assessment tasks effective and efficient for learning are provided. Lay Description: What is already known about this topic: Students should be given the opportunity to self‐assess their knowledge during the learning process.Self‐assessment can increase students' motivation to learn and promotes academic achievement and self‐efficacy. What this paper adds: Both, the initial and replication, studies provide better understanding of learners' behaviour and task design characteristics to afford better learning support and maximize the potential for desirable outcomes.Task design (task complexity, scope and transfer requirements as well as quantitative measures such as text length and number of evaluation criteria) can be modified to affect students' accuracy. Implications for practice: Supporting students learning is not a one‐off activity, but part of a curriculum improvement and lifelong learning initiative, therefore we recommend that self‐assessment tasks are continuously monitored and, if necessary, improved to suit the needs of learners in a specific context.Self‐assessment should become a habit of the learning process rather than only a superficial and mandatory part of course design.Five practical suggestions are designed and discussed to help practitioners successfully facilitate an effective and efficient self‐evaluation process during learning. [ABSTRACT FROM AUTHOR]

Background: Tele‐collaborative projects serve as invaluable platforms for students from diverse countries to engage in cross‐cultural communication and exchange cultural knowledge. These projects offer immense benefits in terms of fostering intercultural competence among participants. However, one challenge arises when participants engage in spoken communication rather than written. Those who may not share a common first language often rely on a lingua franca such as English for intercultural communication. In such spoken exchanges, varying levels of language proficiency can lead to communication errors that hinder the intercultural learning process and impede the development of intercultural competence in their fellow participants. Objectives: In the present trial study, our primary objective was to tackle the language‐related challenge associated with spoken communication head‐on. Our focus centred on addressing the discrepancies arising in spoken communication, and we aimed to mitigate these discrepancies by utilizing speech‐enabled corrective feedback technology. Methods: In a tele‐collaborative project involving 28 graduate students from the People's Republic of China and Republic of Kazakhstan, the participants engaged in spoken communication and cultural exchange in English via the internet. Given the emphasis on spoken communication and the recognition that English was not their first language, we implemented a speech‐enabled corrective feedback (SECF) technology to ensure effective communication in terms of pronunciation, grammar, and word choice. The SECF technology detected and provided instant feedback on any speech mistakes, enabling participants to make corrections accordingly. The main aim of our study was to explore the potential benefits of integrating SECF technology into a tele‐collaborative project for the development of participants' intercultural competence. Additionally, we sought to gather insights into the students' perceptions of the SECF support. Results and Conclusions: The results of our study revealed significant improvements in the participants' intercultural competence across dimensions such as knowledge, skills, attitude, and awareness. Furthermore, the participants expressed positive perceptions of the SECF technology. Drawing from our findings, we offer valuable implications and recommendations for educators and researchers in the field, enhancing their understanding of the role of SECF technology in supporting intercultural competence development in tele‐collaborative settings. Lay Description: What is currently known about the subject matter: Tele‐collaborative projects are widely utilized to enhance intercultural competence.Low language proficiency of participants often poses a significant challenge in tele‐collaborative projects. What this paper adds: The present study addressed the language barrier by incorporating speech‐enabled corrective feedback (SECF) technology to support our tele‐collaborative project.The study explored how our tele‐collaborative project, supported by SECF, facilitated the development of intercultural competence. The implications of study findings for practitioners: Scholars and practitioners should consider implementing SECF technology to address language‐related barriers in tele‐collaborative projects.Guidelines based on our study can be utilized to design tele‐collaborative projects with SECF support.Training on technology and constant support needs to be provided to participants. [ABSTRACT FROM AUTHOR]

Background Study: As interest in programming education continues to grow, more educators are incorporating programming into K‐12 classrooms. There is evidence that programming can help develop essential skills for future societal advancement, known as 21st century skills. However, there has been limited research into which sub‐skills of 21st century skills are fostered through programming and the effect sizes thereof. Objective: This study presented a meta‐analysis to comprehensively understand the influence of programming instruction in K‐12 classrooms on the development of students' 21st century skills in different dimensions of sub‐skills. And further analysed the impact of key elements of programming instruction design on its effectiveness. Methods: A comprehensive meta‐analysis was conducted, covering 74 empirical studies published between 2000 and 2023, involving 136 effect sizes, and moderation analyzes on variables of instructional design. Results: This study indicated that implementing programming instruction in K‐12 schools can help develop students' multiple dimensions of 21st century skills, such as critical thinking, creativity, communication, collaboration, problem‐solving and decision, learning to learn, ICT literacy, and personal and social responsibility. Overall, programming demonstrates a moderate but significant effect on improving 21st century skills (Hedges's g = 0.621, p = 0.000 < 0.01). Furthermore, several best practices were identified to enhance students' 21st century skills, including initiating programming education from kindergarten, limiting the duration of programming interventions to 6 months, adopting interdisciplinary approaches to programming education, utilizing visual programming tools, and selecting appropriate assessment methods. Conclusion: Based on these findings, this study recommended the thoughtful design of programming education to maximize its advantages in various dimensions of 21st century skills. Lay Description: What is already known about this topic: Currently, 21st century skills have become critical skills that students should have.A popular practice in K‐12 schools is to use programming to develop students' 21st century skills, but results are inconsistent and quantitative synthesis of empirical research is lacking.Some factors of programming instruction may influence the effectiveness of programming on students' 21st century competencies. What this paper adds: A meta‐analysis of 74 studies was conducted to provide systematic evidence that programming has a moderate effect on improving K‐12 students' 21st century skills.Programming significantly improves students' eight sub‐skills in the 21st century.Educational level moderated the impact of programming on students' 21st century skills.Instructional duration moderated the impact of programming on students' 21st century skills. The implications of study findings for practitioners: Programming instruction is designed to be well‐planned and to take full advantage of technology to develop students' 21st century skills.Starting programming instruction at a younger age is more beneficial for students' 21st century skill development.Regarding intervention duration, it is noteworthy that interventions lasting within six months are more effective.Integrate programming across disciplines to promote students' multi‐dimensional 21st century skills. [ABSTRACT FROM AUTHOR]

Background: Artificial Intelligence (AI) literacy is a crucial part of digital literacy that all individuals should possess in today's technologically advanced world. Despite the potential benefits that AI education offers, little research has been done on how to teach AI literacy to children. Objectives: This study aimed to fill that gap by investigating how children were engaged in AI literacy activities that are supported by intelligent agents. These activities were implemented in a Hong Kong kindergarten with a class of six 5‐year‐olds (Mage = 62.83 months, SD = 2.91) over a 6‐week period. Methods: The study gathered data from multiple sources, including classroom observations, teacher interviews, and documents/artefacts. Results and Conclusions: The results showed that children could learn about AI through interaction with intelligent agents in embodied learning contexts. The findings of this study have implications for the broader field of digital technology education, particularly in the context of early childhood education. Lay Description: What is already known about this topic: Artificial Intelligence (AI) literacy is essential in today's world.Little research exists on engaging young children in learning AI literacy. What this paper adds: Technology‐enhanced embodied learning approach affords multimodality in enabling young children's learning with AI‐related agents.Project‐based learning and real‐life examples can enhance children's learning. Implications for practice and/or policy: Early exposure to AI can help children navigate the increasingly digital world.Practical approaches, such as embodied and multimodal learning, seem to be effective.Teachers can enhance children's digital learning by using pedagogical strategies like project‐based learning and real‐life examples. [ABSTRACT FROM AUTHOR]

Background: There are deficiencies in ensuring the permanence of some theoretical information taught in nursing education and transferring it to practice environment. Mobile‐assisted teaching can be useful to eliminate deficiencies. The aim of this study was to determine the effect of mobile‐assisted teaching on nursing students' learning ventrogluteal injection. Methodology: The study was conducted in Turkey between February and June 2022. This study is a single group pre‐posttest intervention. The study sample consisted of 354 students studying in the 2nd, 3rd and 4th grades in Turkey. After the students completed the Introductory Characteristics Form and Ventrogluteal Region Information Suggestion Form in the pre‐test, the researchers sent a ventrogluteal injection animation video to their mobile phones. The students who watched the video completed the Ventrogluteal Region Information Suggestion Form and Mobile Education Activity Form in the final test. Results and Conclusion: There was a statistically significant difference between the pre‐posttest score medians of the students (p < 0.001). While the preference of the students for the ventrogluteal region in intramuscular injection was 28.5% before mobile learning, it increased to 51.1% after the training. In this study, after the training given through mobile learning, the knowledge level of the students about ventrogluteal injection and their preferences for ventrogluteal injection increased. In line with these results, mobile‐assisted education should be used in nursing education. Lay Description: What is already known about this topicDue to the high number of students per teaching staff in Turkey, it takes time for the theoretical education of the students to turn into practice.It is recommended that students prefer and use the ventrogluteal (VG) region for intramuscular drug injection.The students had difficulties because the nurses guiding them in clinical practice did not use the VG area.There are difficulties in applying the VG region injection in practice. What this paper addsMobile‐based intramuscular injection skill application increased the knowledge level of the students.Mobile applications make it easier to remember the learned information and apply it in the clinic. Implications for practice and/or policyMobile applications demonstrating skill practice provide a resource for nursing students to watch and learn whenever they want.It ensures that the student is always ready for invasive procedures to be performed on the patient in the clinic. [ABSTRACT FROM AUTHOR]

Background: Learning from video lectures with peers, that is, co‐viewing video lectures, is a common mode of learning across a wide range of ages and topics in the information age. Objectives: The present study tested the effects of learners' motivation on co‐viewing video lectures in terms of learning performance, mental effort, and interpersonal brain synchronization (IBS). Methods: The current study was quantitative experimental. In total, 142 participants were recruited and divided into 71 dyads to manipulate task motivation from three aspects: meaning, interest, and reward. Then, they were divided into three experimental conditions according to the level of task motivation: two low task motivation learners (LL condition), a combination of one low and the other high (HL condition), and two high task motivation learners (HH condition). Two participants in a dyad were asked to view a video lecture on a shared screen and not talk until the end of the video lecture, with both learners in full view. Simultaneously, we recorded the cortical hemodynamic activity of two participants in each dyad using functional near‐infrared spectroscopy (fNIRS). Results and Conclusions: The group‐level analysis showed that two high‐task motivation learners had better learning performance, greater mental effort, and stronger IBS than a combination of one low and one high‐task motivation and two low‐task motivation. The results from the individual assessment indicated that pairing a person with low task motivation with another with high task motivation resulted in benefits for the low‐task motivation learner in terms of their self‐perceived learning. However, it negatively affected the performance of the high task motivation learner. Implications: First, high‐task motivation learners were encouraged to co‐view video lectures. Second, instructors were encouraged to intervene between their interactions by providing timely feedback to avoid losses for high‐task motivation learners, as this composition benefits low‐task motivation learners. Lay Description: What is already known about this topic: Most studies consider viewing video lectures as an individual process and test the role of learners' motivation at the individual level.Co‐viewing video lectures is a common mode of learning across a wide range of ages and topics in the information age.Learners' task motivation is essential for optimal learning in various settings. What this paper adds: Having two high task motivation co‐viewers enhanced their learning, encompassing retention, transfer, and confidence in performing well.Having two high task motivation co‐viewers enhanced IBS in the rTPJ‐rTPJ and IPL‐SMA pairings.Pairing a low task motivation learner with a high task motivation learner could be beneficial for the low task motivation learner, but it may result in losses for the high task motivation learner. Implications for practice and/or policy: Future work should verify the conclusions of the current study in natural settings, allowing verbal interaction versus settings permitting only nonverbal interaction and avoiding experimenter expectations.Future research should continue to test the long‐term effects of pairing a low task motivation learner with a high task motivation learner.We encourage high task motivation learners to co‐view video lectures.Instructors are advised to intervene in the interaction of pairs of a low task motivation learner with a high task motivation learner, for instance, by providing timely feedback. [ABSTRACT FROM AUTHOR]

Background Study: As flipped learning is a flexible pedagogical methodology to tailor students' needs and maximize the learning effects, this study integrated peer learning with MosoTeach‐supported flipped mode in an undergraduate blended EFL course. MosoTeach is a popular online learning platform in China with a variety of learning resources. Objectives: The study aimed to test the impact of MosoTeach flipped learning (MTFL) mode on undergraduate EFL students' perceived motivation, participation, feedback, and test performance. Methods: A quasi‐experimental design was carried out in Z university during the spring semester of 2020, with the experimental group (n = 34) adopting the MTFL model and a control group (n = 33) the non‐flipped mode. Results and Conclusions: The independent t‐test results showed that the experimental MTFL group outperformed the control group in post‐test scores, and a positive correlation was found in the relationship between the experimental MTFL group's post‐test scores and MosoTeach learning experience points (LEPs). Moreover, the course perception questionnaire survey indicated a higher level of students' perceived motivation, participation, and feedback in the experimental MTFL group, which corresponded to the results of the content analysis of students' responses to open‐ended questions and reflective reports. But students in both groups experienced challenges such as isolation, procrastination and technological anxiety. Lay Description: What is currently known about this topicFlipped language learning is mostly reported to be effective in improving EFL learning.Peer learning is mostly reported to be effective in improving EFL learning.MosoTeach was investigated in English learning contexts before, but without experimental design. What this paper addsMosoTeach proved as a valid online learning platform in flipped language learning, and the learning experience points (LEPs) on MosoTeach could predict students' exam performance.Students in the experimental group (MosoTeach‐supported flipped) had better exam performance and a higher level of motivation, participation and feedback.Students in both groups experienced isolation, procrastination and technological anxiety. Implications for practice:Peer discussion boards in MosoTeach provide learning support effectively for students in pre‐class learning.Group projects and peer assessment in MosoTeach integrate pre‐class peer discussion into in‐class interaction successfully.MosoTeach provides equal opportunity for every student in the large‐size Chinese English classes, thus contributing to the equity of in‐class peer interactions. [ABSTRACT FROM AUTHOR]

Background: The global introduction of complex measures directed at the containment of the COVID‐19 spread has spurred a massive shift to distance learning among educational institutions. As far as such a learning mode is rather forced and, probably, only a few establishments faced no difficulties with it, the matter of assuring teaching activities' effectiveness in the practice of e‐learning is relevant. Objectives: The main purpose of this article was to assess the efficiency of online‐based tools and technologies in the context of distance education and develop a set of recommendations aimed at improving the effectiveness of online teaching. Methods: The research methodology was based on an empirical approach presupposing an exploratory questionnaire survey addressed to university students. As for the e‐learning platform used, the focus was set on Microsoft Teams. Results and Conclusions: In general, the conducted investigation unveiled that the perception of the role of the instructor differs among Western and Chinese students in terms of willingness to accept psychological help and the feeling of safety during online lessons. Given this, it is reasonable to pay more attention to the psychological well‐being of international students. The comprehensive analysis of survey outcomes allowed the development of a set of recommendations able to enhance the effectiveness of teaching in online settings. These encompass, for example, giving preference to small student group formations, setting greater emphasis on means increasing students' motivation to learn, involvement of instructors in the development and delivery of video lectures, the introduction of automated student assessment, use of multimedia information, and informing students about possible ways of interaction. Lay Description: What is already known about this topic: The comprehensive analysis of survey outcomes allowed developing a set of recommendations able to enhance the effectiveness of teaching in online settings.The most convenient digital features during e‐learning implementation were instant access to information and the availability of a shared chat room.Pre‐pandemic electronic learning was often criticized for insufficient student engagement and social interaction, leading to the need to increase student engagement through interactive online activities, virtual group projects, online discussion forums, and accessibility. What this paper adds: In general, the conducted investigation unveiled that perception of the role of instructor differs among Western and Chinese students in terms of willingness to accept psychological help and the feeling of safety during online lessons.It appeared that international students are more exposed to stress factors and are less likely to trust an educator to the degree allowing them to ask for help.It was possible to develop a set of recommendations aimed at improving the effectiveness of teaching activities during e‐learning through an in‐depth analysis of survey results. Implications for practice and/or policy: Several implications for future investigations can be identified, namely: conducting further studies on the psychological well‐being of international students in online learning, examining cross‐cultural differences, exploring the effectiveness of teaching practices, and addressing broader social issues and consequences.Further research should focus on institutions across China to generalize the results obtained and formulate more reliable inferences.Another limitation is related to the instructors themselves. This variation in specialization among participants could have had an impact on the study's results, but it was not possible to address this issue within the constraints of the current research design. [ABSTRACT FROM AUTHOR]

Background: Integrating programming in K‐12 curriculum has become a global consensus. Teachers are central figures in programming instruction. But the majority of current research focuses on teachers' external teaching behaviours and less on teachers' attitudes towards programming. Objectives: The purpose of this study is to validate the K‐12 in‐service Teacher Programming Attitudes Scale (TPAS), to analyse teachers' programming attitudes and their differences in personal, teaching, and environmental factors, and further explore the predictive relationship. Methods: The sample is 888 K‐12 teachers from China. First, exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were adopted to validate the availability and reliability of TPAS; Second, independent sample t‐test and one‐way Analysis of Variance (ANOVA) were adopted to explain the differences. Finally, correlation analysis and linear regression analysis were adopted to verify the correlation and prediction relationship. Results and Conclusion: TPAS possess good reliability and validity (χ2/df = 2.488, RMSEA = 0.055, CFI = 0.943, TLI = 0.935, and IFI = 0.943). Further analysis found that, first of all, male teachers possess more positive programming attitudes than female teachers; second, young teachers who are under 30 and the length of teaching under 5 years possess more positive programming attitudes; thirdly, in addition to Information and Communication Technology teachers, primary science teachers also possess high programming attitudes, followed by teachers of Humanities and Arts, reflecting the potential of teaching programming in integrated subjects and the humanities. Finally, primary school teachers possess the best programming attitudes. With the growth of grade, teachers' enthusiasm for programming has gradually decreased. Additionally, discipline, grade and gender factors were considered to predict K‐12 teachers' programming attitudes. Implications: The results of this study contribute to integrating programming teaching of teachers and promoting programming education in K‐12 classrooms. Lay Description: What is already known about this topic:.Integrating programming in K‐12 curriculum has become the consensus for most countries.Teacher is one of the core figures of K‐12 programming teaching.There is currently less attention paid to teachers' attitudes towards programming.K‐12 teachers' programming attitudes measurement tool is needed to analyze the impact of various factors on teachers' programming attitudes. What this paper adds: The K‐12 teacher programming attitude scale (TPAS) is developed and validated.Male teachers and teachers under the age of 30 and under the length of teaching of five years possess more positive programming attitudes.Information and Communication Technology teachers and primary school Science teachers possess high programming attitudes.Discipline, grade and gender factors are considered to predict K‐12 teachers' programming attitudes. Implications for practice and/or policy: The K‐12 Teacher's Programming Attitude Scale (TPAS) fills the gap in measurements of teachers' programming attitudes.The study results provide the guidance for interdisciplinary programming teaching for K‐12 teachers. [ABSTRACT FROM AUTHOR]