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Background: Given the advancement of mobile and sensing technology, the incorporation of augmented reality (AR) in context‐aware ubiquitous learning (CAUL) has offered significant benefits to oral communication development in foreign language learning. Although a great number of studies have been dedicated in this field, only a little research was conducted to formulate a facilitation framework aligning with established learning theories or pedagogies. Objectives: This review thereby examined the facilitation tenets conducive to the best practice of AR‐based CAUL projects for oral communication enhancement and further established a AR‐guided CAUL framework. Methods: The researchers systematically reviewed 17 related empirical AR studies from Web of Science from 2000 to 2021 and synthesized the results with focused second language acquisition theories. Results and Conclusions: Three practical tenets were identified, including facilitating learner‐centred pedagogies with personal and contextual learning supports, incorporating constructivist learning design, and encouraging collaborative learning and higher‐order cognitive skills. Furthermore, in accordance with the synthesized results, a facilitation framework combining situated learning, learning‐by‐doing, and social constructivist design was developed to engage students in a learning, applying, and reflecting process in formal and informal learning contexts. Major Takeaways: For the best practice of oral communication through AR, this review study offers practical facilitation tenets and theoretical framework which are in alignment with research‐proven theories. It is expected that the framework could provide frontline educational practitioners with guidance to foster students' learning outcomes and interactions. Lay Description: What is already known about this topic?: Foreign language learning has become interactive, contextual, and ubiquitous due to the development of mobile computing and sensing technologyThe incorporation of augmented reality (AR) an context aware ubiquitous learning (CAUL) is beneficial for the facilitation of oral communication in foreign language learning What this paper adds?: This paper offers practical facilitation tenets for oral communication development through AR‐based CAUL applicationsA theoretical framework is created for the best practices of AR and CAUL‐based listening and speaking projects Implications for practice and/or policy: The facilitation framework provides clear steps and details of implementation with learning theories to guide frontline educational practitioners and learnersThis paper can assist interested stakeholders to develop learning designs and effectiveness with the combination of theoretical foundation and pedagogical applications [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: 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: 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: 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: Social annotation has emerged as a promising educational technology that fosters collaborative reading and discussion of digital resources among learners. While the positive impact of social annotation on students' learning process and performance is widely acknowledged, students' behavioural patterns in social annotation are underexplored. Objectives: This study investigated patterns in students' use of annotation and response behaviours in social annotation activities. We also explored how students' performance in the behavioural, cognitive, emotional, and social dimensions varied based on their behavioural patterns. Methods: We recruited 93 undergraduates who were enrolled in an elective course at a large North American University. Students were tasked with collaboratively annotating the class readings uploaded to Perusall, a social annotation platform, over 7 weeks. We used metaclustering to determine the optimal number of clusters pertaining to student behaviours. We compared the differences among clusters across multiple performance dimensions. Results and Conclusions: Two distinct clusters were identified and defined as initiators and responders. We found that responders had significantly longer active reading time and exhibited greater social annotation effort compared to initiators. However, initiators received more peer acknowledgement, as evidenced by higher upvotes. No significant difference was found in cognitive insight between initiators and responders, but responders demonstrated significantly higher cognitive discrepancy. Additionally, there were no significant differences in positive and negative tones between initiators and responders; however, responders displayed higher levels of prosocial behaviours than initiators. This study has significant practical implications regarding promoting students' collaborative learning experience in social annotation. Lay Description: What is already known about this topic: Annotation and response behaviours are two primary actions in social annotation.Understanding how students navigate through annotations and respond to their peers' contributions is essential for optimizing their learning experience.Social annotation outcomes can be assessed in the behavioural, cognitive, emotional, and social dimensions. What this paper adds: This paper revealed students' behavioural patterns in social annotation activities.This study offered a comprehensive understanding of the various dimensions of performance among students with different behavioural tendencies. Implications for practice and/or policy: The two student clusters, initiators and responders, revealed distinct engagement patterns in social annotation and informed the design of targeted scaffoldings.Responders were not passive learners since they demonstrated significantly longer active reading time, greater social annotation effort, and higher level of prosocial behaviours.Educators might not need to place significant emphasis on monitoring participants' emotional expressions in social annotation.Social annotation platforms should incorporate features that encourage and reward both initiation and response behaviours. [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: This research paper presents a cross‐sectional study that examinefs the preferences of students for hybrid teaching and learning scenarios. Unlike previous studies that merely describe hybrid scenarios, this research prioritizes them, offering evidence‐based findings for informed policy decisions. Methods: The data collection method involved eight choice‐based tasks using the conjoint analysis technique conducted with 'Sawtooth' software. The study surveyed students at a mid‐sized university across four departments in Central Switzerland. The sample analysed in this article comprised 319 respondents from the Lucerne School of Business. Results and Conclusions: Our survey found that students' own location during a teaching session played a significant role in determining participation preferences, followed by that of the lecturer. Factors that influenced students' preferences whether to attend onsite or online include workload, didactical format, perceived level of difficulty, student residence, and semester. Forms of hybrid collaboration and student–student interaction did not significantly influence student preferences. Takeaways: The value of this study lies in its evidence‐based findings for specific hybrid scenarios, which can provide useful insights for policymakers in degree programs and faculty in hybrid classrooms. This study is one of only a few to use conjoint analysis with such a high respondent rate to determine student preferences for hybrid attendance. Lay Description: What is currently known about this topic?: Student demand for hybrid teaching scenarios remains high, while many faculty find the scenario technically challenging.Opinions as to the precise features of 'hybrid' vary widely.No clear understanding of the conditions under which students will decide to attend any given class.Demand for additional exchange among online students is recommended in the literature, but often not implemented. What does this paper add?: The study uses conjoint analysis to simulate how students make attendance decisions.The study shows empirically which factors are most important to determine students' attendance.Two‐thirds of the students surveyed prefer an online option.Group composition and informal exchange do not significantly impact students' attendance preferences. Implications for practice/or policy: Students appreciate the flexibility of online learning but expect lecturers to be onsite.Difficult subjects are more likely to be attended onsite.Student residence, workload, degree program, and semester impact students' attendance preferences.No additional infrastructure is needed to encourage exchange among students. [ABSTRACT FROM AUTHOR]

Background: Maintaining cohesion is critical for teams to achieve shared goals and performance outcomes within a work‐integrated learning (WIL) environment. Cohesion is an emergent state that develops over time, representing the synchrony of different behavioural interactions. Cohesive teams will exhibit such phenomena by their temporal coordination of micro‐level relations. Objectives: The primary aim of this study is to examine the cohesion of teams in learning environments using a learning analytics approach. Method: This study examines teams from higher education who participate in a WIL environment platform working in teams to develop their collaborative problem‐solving skills. Here we show that temporal network motifs can be used as a proxy to measure cohesion. Results and Conclusions: We illustrate three clusters represented by team learning behaviours and found that each cluster has distinctive interactions with learning resources, performance outcomes, temporal network motif group characteristics and emergence over time using learning analytics. Implications: Applying temporal motifs as an analytics‐based measure of cohesion is a starting point for understanding how cohesion develops over time without relying on surveys. We anticipate that the same approaches can be applied in most learning management systems containing trace data of teams and their interactions with learning resources to understand cohesion. Lay Description: What is already known about this topic?: The development of team cohesion has been widely studied for decades in face‐to‐face educational contexts but remains underexplored in online environmentsObtrusive tools, such as questionnaire instruments are still the primary method used to examine team cohesionTeam cohesion is an emergent state that changes over time, representing the synchrony of different behavioural interactionsResearch that explores and examines the temporality of cohesion as it unfolds in team learning is limited What this paper adds?: Underlines how emerging team behaviours are characterised by their engagement, performance and cohesion development using temporal network motifsPresents an analytics‐based measure to examine cohesion using temporal network motifs as a proxyProvides a learning analytics approach for researchers and instructors to evaluate cohesion in online learning environments through online learner trace data The implications of study findings for practitioners: The paper provides insights into distinct teams with emerging learning behaviours, performance associations and cohesion in an online learning platform.The paper provides instructors with a way to monitor and support a team's cohesion over time by examining the way temporal motifs occur.The paper offers a new avenue to understanding learner engagement beyond summarisations [ABSTRACT FROM AUTHOR]

Background: With increased use of artificial intelligence in the classroom, there is now a need to better understand the complementarity of intelligent learning technology and teachers to produce effective instruction. Objective: The paper reviews the current research on intelligent learning technology designed to make models of student learning and instruction transparent to teachers, an area we call model‐based learning analytics. We intended to gain an insight into the coupling between the knowledge models that underpin the intelligent system and the knowledge used by teachers in their classroom decision making. Methods: Using a systematic literature review methodology, we first identified 42 papers, mainly from the domain of intelligent tutoring systems and learning analytics dashboards that conformed to our selection criteria. We then qualitatively analysed the context in which the systems were applied, models they used and benefits reported for teachers and learners. Results and Conclusions: A majority of papers used either domain or learner models, suggesting that instructional decisions are mostly left to teachers. Compared to previous reviews, our set of papers appeared to have a stronger focus on providing teachers with theory‐driven insights and instructional decisions. This suggests that model‐based learning analytics can address some of the shortcomings of the field, like meaningfulness and actionability of learning analytics tools. However, impact in the classroom still needs further research, as in half of the cases the reported benefits were not backed with evidence. Future research should focus on the dynamic interaction between teachers and technology and how learning analytics has an impact on learning and decision making by teachers and students. We offer a taxonomy of knowledge models that can serve as a starting point for designing such interaction. Lay Description: What is currently known: Current learning analytics solutions are often not perceived helpful by teachers What this paper adds: Model‐based learning analytics seeks to make these systems more transparent and actionableOur review shows there is good potential that systems designed in this way would have greater impact on classroom teaching Implications for practitioners: Pedagogical‐psychological models should be an integral part of intelligent learning systems designsWe offer a taxonomy of such models and current good practices of their use as a starting point [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: Some studies have researched the correlation between flipped learning and cognitive learning outcomes; however, there is a paucity of research elaborating on the effects of flipped language learning on cognitive load (CL). Objectives: This study investigates the effects of using flipped learning designs (student‐led, teacher‐led and collaboration‐led) on learning outcomes and CL management during out‐of‐class activities versus during‐class activities. Methods: A mixed methods research was used to concurrently triangulate different strands of data on the effects of flipped learning designs on English as foreign language (EFL) learners' learning outcomes and CL. A total of 122 EFL learners were randomly assigned to either the control or experimental group and participated in the study. The interpretations were made based on running one‐way analysis of variance between four groups. Results and Conclusion: This study evidenced the efficacy of the interactive use of collaboration‐led flipped learning design over student‐led and teacher‐led designs for improving learning outcomes and lowering CL during computer‐assisted language learning (CALL) course. Pedagogically, CALL practitioners need to develop and integrate a well‐organized combination of student‐led and teacher‐led flipped learning activities for during‐class and out‐of‐class phases with respect to the CL and learning material complexity, while also considering the specific contexts and goals of their instructional settings. Theoretically, the results indicate the necessity of merging active learning and sociocultural theories into an instructional design to take advantage of the identified affordances of flipped language learning approach in terms of psychological effects (CL management) and learning effects (CALL outcomes). Lay Description: What is already known about this topic: The flipped language learning approach involves receiving online instruction outside the classroom and is a learner‐centered pedagogy. What this paper adds: This study contributes by triangulating different strands of data on the effects of flipped learning designs on learning outcomes and cognitive load.The findings highlight the effectiveness of collaboration‐led design for flipped language learning, facilitating engagement in both out‐of‐class and during‐class activities. Implications for practice: The findings emphasize the importance of designing and implementing instructional designs that align with emerging educational technologies.Teachers should consider the flexibility, fluency and novelty of the learning material when designing flipped learning activities. [ABSTRACT FROM AUTHOR]

Background Study: Several meta‐analysis studies have investigated the effects of mobile learning on learning performance. However, limited attention has been paid to pedagogy in mobile learning, making quantitative evidence of the effects of pedagogical approaches on learning performance in mobile learning scarce. Filling this gap can therefore help stakeholders understand which mobile pedagogical approaches might work or not under which learning conditions, hence achieving better learning experience and performance. Objectives: To address this gap, this study conducted a meta‐analysis and research synthesis of the effects of integrated pedagogical approaches on students' learning performance in mobile learning. Additionally, this study analysed the field of education, level of education, learning setting, sample size, and mobile device as moderating variables of the effect of pedagogical approaches. Methods: The software Comprehensive Meta‐Analysis V.3 was used for this meta‐analysis, where Hedges' g was calculated for the effect sizes. Specifically, 70 quantitative studies (N = 5575 participants) were coded and analysed. Results: The results indicate that pedagogical approaches in mobile learning have a large effect on students' learning performance (g = 0.93, p < 0.001). The most effective pedagogical approach was project‐based learning (huge effect), while collaborative learning, situated learning and game‐based learning had large effects. Finally, cognitive theory of multimedia learning and inquiry‐based learning had medium effects. The results also indicate that the effect is moderated by the field of education, the level of education, the learning setting, the sample size, and the mobile device. Finally, it is found that study quality might influence the overall effect size. Conclusions: The findings of this study can be beneficial to both researchers and practitioners as they highlight and discuss which pedagogical approaches could be more effective in mobile learning under specific conditions. Further research, on the other hand, should focus on covering additional moderators of learning performance like mobile device type and screen size which is one of the limitations of this study. Lay Description: What is already known about this topic: Mobile learning is widely adopted in education.Mobile learning can enhance learning outcomes. What this paper adds: Pedagogical approaches in mobile learning have different effects on students' learning performance.The most effective pedagogical approach in mobile learning is project‐based learning (huge effect).Which pedagogical approaches could be more effective in mobile learning under specific conditions. Implications for practice and/or policy: This study enriches the ongoing debate on how to design effective mobile learning interventions.This study provides substantial evidence about which pedagogical approaches in mobile learning would be more effective under which circumstances. [ABSTRACT FROM AUTHOR]

Background: Online collaboration tools have been identified as potentially effective means for enhancing student learning, motivation, and engagement in science education. However, their effectiveness in improving science education outcomes among middle school students remains uncertain. Objectives: The study aimed to investigate the impact of online collaboration tools on science education outcomes among middle school students, focusing on learning achievement, engagement, and motivation. Methods: A quasi‐experimental design with a pretest‐posttest control group was used in this study. A total of 60 eighth‐grade middle school students were involved in the study, with both the experimental and control groups comprising 30 students each. The experimental group incorporated the use of digital collaboration platforms, including Asana, Slack, and Team Viewer, as instrumental components of group project execution and discussion in their science lessons. Conversely, the control group adhered to the current educational approach in Turkey, characterized by the employment of an inquiry‐based learning strategy in their science instruction. Data was collected over eight weeks using a science achievement test, engagement scale, and science motivation scale. Results: The experimental group demonstrated significantly higher post‐test scores compared to the control group, suggesting that online collaboration tools positively impacted science education outcomes. Additionally, survey data indicated high levels of engagement and motivation among the experimental group students when using the online collaboration tools. Conclusions: The findings support the notion that online collaboration tools can effectively enhance learning, motivation, and engagement in science education among middle school students. These results have significant implications for educators, educational institutions, policymakers, and curriculum developers. Further research is needed to examine the potential of these tools in various educational contexts and with different student populations. This will help broaden the understanding of how online collaboration tools can be integrated into diverse learning environments, potentially benefiting a larger number of students and further improving science education outcomes. Lay Description: What is already known about this topic: Technology's role, particularly online collaboration tools, in enriching science education is undebatable (Donkin & Rasmussen, 2021; Rahmawati et al., 2022). Such tools have been theorized to bolster student learning outcomes, motivation, and engagement (Donnelly et al., 2013; Ekici, 2017; Khazanchi & Khazanchi, 2019). Yet, the empirical evidence validating their efficacy in science educational settings remains sparse. What this paper adds: This research delves into the influence of online collaboration tools on science learning outcomes among middle school learners. Data indicates that employing these digital tools substantially elevates student performance, as gauged by a science achievement test. Furthermore, students navigating through these online collaborative platforms recorded elevated levels of both engagement and motivation. The primary effectiveness of online collaboration tools stems from their ability to foster specific behaviours, such as increased communication frequency and structured task management, which can amplify learning and group collaboration through their facilitated structured interactions. Implications for practice and/or policy: This study's conclusions offer pivotal insights for educators, academic institutions, policy framers, and curriculum architects. Online collaborative platforms exhibit promise in amplifying student outcomes and engagement within the realm of science education. It is imperative to broaden this research scope to discern the tools' potential across varied educational environments and diverse student demographics. There is a compelling case for stakeholders, especially educators and policymakers, to contemplate incorporating these online tools into science pedagogy, aiming to magnify student learning experiences and engagement levels. [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: As adequate support, virtual reality (VR) has been increasingly introduced into the classroom to help students learn a new language. However, empirical studies exploring the educational potential of using 360° spherical video‐based virtual reality (SVVR) in high‐school Chinese language classrooms are still lacking. Objectives: A mind mapping‐based SVVR learning system is proposed for international high‐school students' Chinese courses and examines its effects on improving Chinese learning achievements and perceptions among Grade 10 students who learn Chinese as a foreign language. Methods: This study adopted a quasi‐experiment design. Participants (N = 66) were assigned to one of three conditions: mind mapping‐based SVVR (MMBSVVR), conventional SVVR (CSVVR), or traditional lecturing (TL). Our mixed‐method approach employed pre‐and post‐tests to measure Chinese learning achievements, questionnaires to measure Chinese learning motivation, problem‐solving ability, and self‐efficacy, and semi‐structured interviews to further explore students' feelings and attitudes about Chinese courses in corresponding learning environments. Results and Conclusions: The results showed that the MMBSVVR classroom significantly improved high students' Chinese learning achievements in Chinese vocabulary and making sentence, problem‐solving ability, and self‐efficacy. Moreover, SVVR stimulates students' learning interest and class participation, and mind mapping provides students with a clear guide to arrange the knowledge. These findings help interpret the relationships between MMBSVVR and learning achievements, Chinese learning motivation, problem‐solving ability, and self‐efficacy in an international high school Chinese courses, thus providing insight on integrating MMBSVVR into existing classrooms. Lay Description: What is Already Known about this Topic: By creating fully immersive 3D environments, 360° spherical video‐based virtual reality (SVVR) in promoting language learning has been confirmed by many scholars with a focus on English language learning.Mind mapping effectively enables second language learners to review and retain new words in the target language meaningfully. Also, it can create a more vivid learning atmosphere through images and graphics and promote learners' memory and learning motivation. What This Paper Adds: A mind mapping‐based SVVR learning system has been developed with the support of the constructivism theory.A mind mapping‐based SVVR learning system is proposed to facilitate international students' Chinese learning performance in Chinese vocabulary acquisition and sentence construction.In addition to promoting international students' learning outcomes, the proposed approach indicated promising results in learning motivation, problem‐solving ability, and self‐efficacy. Implications for Practice and/or Policy: This study provides an evidence base for further research through the utilization of VR learning environments in Chinese language classrooms.This study advocates introducing SVVR technology in the Chinese learning classrooms to increase the learning context for international students. It is also worth encouraging scholars to design VR learning systems with different learning strategies.Due to the cognitive requirements of the Chinese language learning process, it is necessary to introduce mind maps in the SVVR learning system to assist students in constructing knowledge and combining prior and new knowledge to generate long‐term memory. [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: Collaboration is a crucial concept in learning and has the potential to foster learning. However, the fact that collaborative groups act with a common understanding in a common task brings many difficulties. Therefore, there is a need for group regulation and guidance to support effective group regulation in collaborative learning. On the other hand, the focus should be on the effect of group regulation guidance intervention on the improvement of both individual and group performance, modes of motivational regulation strategies, and the progression of group metacognition. Objectives: In this study, group regulation guidance approaches were developed to support the collaborative learning of Computer Science university students. The developed group regulation guidance approach consists of feedback and a feedforward mechanism. The purpose of this study was to examine the effectiveness of these approaches on academic performance, group regulation performance perception, self‐, co‐, and socially shared regulation of intrinsic motivation, and group metacognition levels. Methods: The study was patterned with a quasi‐experimental design. 65 students participated in the study, and various scales were used to collect data. Data were analysed using paired sample t‐tests, analysis of covariance, and multivariate analysis of covariance. Results and Conclusion: According to the research results, academic achievement showed an increase in the experimental groups after the intervention compared with the pre‐intervention. The group in which the feedforward‐supported regulation guidance approach was used showed better learning success. In the group using the feedback‐supported regulation guidance approach, better group regulation, motivational regulation strategies, and group metacognition scores were obtained. Modes of motivational regulation strategies and group metacognition scores differed according to the experimental groups. Implications: While the results provide important clues for teachers and instructional designers, the developed approaches can be used as a framework for different fields. Lay Description: What is already known about this topic: Collaboration has the potential to foster learning.There are many obstacles for collaborative groups to act with a common understanding in a common task.Collaborative learning requires group regulation and guidance to support effective group regulation. What this paper adds: Academic achievement increased in the experimental groups after the intervention.Feedforward‐based group regulation guidance approach provides better learning success.Feedback‐based group regulation guidance approach provides better group regulation and metacognition.Modes of motivational regulation and group metacognition differ according to the groups. Implications for practice and/or policy: Teachers and instructional designers should not only focus on feedback‐based regulation processes, but also consider feedforward processes to ensure academic performance.Feedback and feedforward‐based regulation guidance approach can help computer science students, who gain first‐hand experiences through active participation, to establish more effective social interaction in their professional projects. [ABSTRACT FROM AUTHOR]

Background: Although conventional writing procedures are still the dominant instructional procedures in English as a foreign language (EFL) contexts, instructors are still struggling with time limitations to improve EFL students writing skills properly. Additionally, EFL students are not engaged in the writing process since they lack the required information about the writing tasks. Objectives: The present study, therefore, applied a sequential explanatory mixed‐methods approach to explore the impact of a flipped writing classroom on EFL students' writing skills (i.e. writing content, writing organization, and language use) and writing motivation on the one hand and possibly recommend a better instructional procedure for students' writing skills and writing motivation in EFL context on the other hand. Methods: To this aim, two intact classes were selected as the participants of the study. The two classes were randomly assigned to a flipped classroom with 27 EFL students and a non‐flipped classroom with 24 EFL students. The non‐flipped classroom was instructed through conventional writing instruction over 16 sessions whereas the flipped classroom was taught with the same content in a flipped writing mode in 10 sessions. Two timed writing tasks, a writing motivation scale, and an individual semi‐structured interview were used to gather the required data. Results and Conclusions: The findings indicated that the flipped writing classroom outperformed the non‐flipped writing classroom in improving the EFL students' writing performance, writing organization, language use, and writing motivation; however, no significant differences were found between the two groups' writing content. Moreover, the data analysis from the individual semi‐structured interview indicated that the flipped students had positive attitudes and perceptions towards the flipped writing classroom which further supported the quantitative findings. Implications: Practical implications for collaborative writing instruction using video clips and other electronic materials are suggested. Lay Description: What is already known about this topic: In a flipped classroom model, English language students can view video clips prior to class time in order to use the class time for doing academic exercises and projects in a collaborative manner.As in student‐centred learning environments, a flipped classroom engages English language students in more active learning processes, encourages them to enquire about the video lectures, and tests and evaluates their skills in applying knowledge.Individual differences, such as motivational variables and affective factors disjointedly or conjointly affect writing processes, especially in English language contexts. What this paper adds: Flipping an English language collaborative writing course improves English language students' writing performance, writing organization, language use, and writing motivation.Flipped classroom is more effective than non‐flipped classroom in improving English language students' writing performance, writing organisation, language use, and writing motivation.Flipped English language students hold positive attitudes and perceptions towards flipped collaborative writing classroom. Pedagogical implications: English language instructors are recommended to design a flipped classroom to provide English language students with video clips before class time, so students can have more collaborative and evaluative writing activities during the class time.English language students can have and receive more peer/instructor writing mediations on the writing tasks and make better use of class time (based on the video clips) and develop their writing performance accordingly.By designing a flipped classroom, English language students can enhance their writing motivation, and also, they properly cover the required materials in a shorter time. [ABSTRACT FROM AUTHOR]

Background: While a number of learner factors have been identified to impact students' collaborative learning, there has been little systematic research into how patterns of students' collaborative learning may differ by their learning orientations. Objectives: This study aimed to investigate: (1) variations in students' learning orientations by their conceptions, approaches, and perceptions; (2) the patterns of students' collaborations by variations in their learning orientations and (3) the contribution of patterns of collaborations to academic achievement. Methods: A cohort of 174 Chinese undergraduates in a blended engineering course were surveyed for their conceptions of learning, approaches to learning and to using online learning technologies, and perceptions of e‐learning, to identify variations in their learning orientations. Students' collaborations and mode of collaborations were collected through an open‐ended social network analysis (SNA) questionnaire. Results and Conclusions: A hierarchical cluster analysis identified an 'understanding' and 'reproducing' learning orientations. Based on students' learning orientations and their choices to collaborate, students were categorized into three mutually exclusive collaborative group, namely Understanding Collaborative group, Reproducing Collaborative group and Mixed Collaborative group. SNA centrality measures demonstrated that students in the Understanding Collaborative group had more collaborations and stayed in a better position in terms of capacity to gather information. Both students' approaches to learning and students' average collaborations significantly contributed to their academic achievement, explaining 3% and 4% of variance in their academic achievement respectively. The results suggest that fostering a desirable learning orientation may help improve students' collaborative learning. Lay Description: What is currently known about the subject matter: There are variations in students' learning orientations.Various learner factors have been found to shape patterns of students' collaborations. What this paper adds: Patterns of students' collaborations differed by variations in students' learning orientations.Students' average collaborations significantly contributed to academic achievement. Implications of the findings for practioners: Fostering a desirable learning orientation may improve collaborative learning. [ABSTRACT FROM AUTHOR]

Background: Hyper‐video technology allows reflection on learning materials by writing personal notes and by interactions with lecturers and peers through shared posts and replies. While research shows that integrating hyper‐videos in educational systems can promote the learning processes and outcomes, an open question remains regarding its actual utilization patterns by students and teachers. Objectives: The study aimed to reveal the extent to which students utilize different functions of hyper‐videos in real‐life learning contexts, and to examine the role of instructional design on hyper‐video utilization. Method: In a mixed‐method design, the study characterized active and passive interactions in hyper‐videos in higher education courses, and amongst active interactions, compared shared versus private annotations. Additionally, the study compared voluntary and mandatory instructional design for promoting hyper‐video interactions. In particular, we used learning analytics to explore hyper‐video patterns in 25 undergraduate and graduate courses. Results and Discussion: A log analysis revealed that students wrote most of the posts, while lecturers mainly provided replies to students' posts. Private annotations were more prevalent than shared writing, pointing to the unfulfilled potential of hyper‐video annotations to benefit from collaborative learning. A qualitative analysis on instructional design was consistent with quantitative findings, revealing important differences between the courses with mandatory versus voluntary hyper‐video integration in pedagogical design, and in cognitive presence and teaching presence, based on the community of inquiry framework. Major takeaways: Findings point to an unfulfilled potential of hyper‐video technology to promote active and collaborative learning. This highlights the role of design and instructive guidance when integrating technology into educational systems. Lay Description: What is already known about this topic: Hyper‐video functions increase motivation and promote self‐regulation of learningIntegrating hyper‐videos in education can benefit leaning outcomesHowever, there is an imbalance between the availability ICT and its actual useThere is a gap in the literature regarding actual utilisation patterns of hyper‐video What this paper adds: A mixed method design exposes hyper‐video utilisation patterns in higher educationFindings show underutilisation of active and collaborative hyper‐video functionsMixed analysis reveals advantage for mandatory (graded) compared to voluntary designGender and degree do not moderate utilisation patterns of hyper‐videos Implications for practise and/or policy: Instructional design is required to guide students of effective use of hyper‐videosInstructors should use hyper‐videos to promote collaboration and peer dialogueDirect instruction does not engage students in active learning via hyper‐videosMandatory design can increase hyper‐videos' potential to contribute to learning [ABSTRACT FROM AUTHOR]

Background: The transition from teacher‐centred towards student‐centred approaches in English language teaching, accompanied by developments in educational technology, has attracted researchers' attention to reverse teaching or flipped class. The related literature asserts that this mode of instruction might influence instructors' and students' participation in the class. Objectives: To shed more light on the role of flipped class in affecting language learning strategies and skills, this study applied a sequential explanatory mixed‐methods approach to explore the impact of flipped class on English as a foreign language (EFL) learners' writing metacognitive strategies and writing skills. Methods: Forty‐six intermediate EFL learners with an age range of 21–27, studying at a private language institute, were randomly divided into two groups of 23 learners. The two groups were randomly assigned to a flipped class, which received writing metacognitive strategies and writing skills through video clips before the class time, and a non‐flipped class, which received writing metacognitive strategies and writing skills in a conventional way during the class time. Results and Conclusions: The results revealed that both flipped and non‐flipped classes improved the EFL learners' writing metacognitive strategies, writing performance, writing content, and writing organisation. Furthermore, one‐way ANCOVA analyses indicated that the flipped class outperformed the non‐flipped class in writing metacognitive strategies, writing performance, writing content, and writing organisation. Thematic analyses, which were used to help analyse individual semi‐structured interviews, uncovered a number of categories and themes, signifying the flipped learners' positive perceptions towards the flipped class, such as enhancing motivation, self‐confidence, and writing collaboration. Implications: Pedagogical implications were discussed for flipping writing metacognitive strategies and writing skills. Lay Description: What is already known about this topic?: Metacognitive strategies, including planning, monitoring, and evaluation strategies, help English language learners become more successful writers.Writing skills, including writing content, writing organisation, and language use, help learners deal with collaborative writing activities effectively.Flipped class has been shown to be an effective mode of instruction to improve English language learners' language learning strategies and skills. What this paper adds?: Flipped class improves English language learners' writing metacognitive strategies, writing performance, writing content, and writing organisation.Flipped class is more effective than non‐flipped class in improving English language learners' writing metacognitive strategies and writing skills.English language learners' motivation, self‐confidence, and writing collaboration are increased as a result of the flipped writing course. Pedagogical implications: Writing metacognitive strategies and writing skills need to be flipped in English language contexts in order to free up time for more effective in‐class collaborative writing activities. [ABSTRACT FROM AUTHOR]

Social networks have intruded in human life by providing new technological innovations in a range of fields, including the education. The use of social networks in education has the potential to extend e‐learning and to introduce new forms of tutoring, communication, and collaboration between students and instructors. Thus, e‐learning is the threshold of Social Networking‐based Learning (SN‐Learning). SN‐Learning consists of a new term, introduced in this paper, and involves e‐learning systems with social networking characteristics or learning through social networking platforms. To this direction, the main objective of this paper is to present this new technological advancement emerged nowadays and to evaluate relevant applications of the last decade using our adjusted evaluation framework, EV‐SNL, in order to highlight their strengths and weaknesses regarding digital learning. The major finding is that SN‐Learning systems focus mainly on the incorporation of social features and do not provide yet personalized and adaptive tutoring. This research provides guidelines to computer science researchers on the design and implementation of SN‐Learning platforms using artificial intelligence and modelling techniques. Moreover, it can support teachers of different fields so that they can enhance their instruction with new technologies. There is scope for a lot of improvement. Lay Description: What is currently known about the subject matter: The vast majority of Internet users uses social networks.Social networks offer a fertile ground for research.Social networks are adopted in education. What the paper adds: Introduction of SN‐Learning as a new trend of digital learning.Review of literature using a methodological framework tailored to SN‐Learning.Guideline for CAL incorporating pedagogical and social features. The implications of study findings: SN‐Learning provides mainly communication and collaboration features.SN‐Learning does not yet emphasize on adaptive and personalized learning.The incorporation of pedagogical theories can enhance SN‐Learning. [ABSTRACT FROM AUTHOR]

In this paper, a new approach for the formation of four‐member collaborative learning groups is presented. Group formation is presented by the mathematical optimization problem. Based on the proposed approach and the variable neighbourhood search (VNS) algorithm, the application that solves the presented problem and provides the appropriate division into groups is created. The proposed approach considers the scores of a pretest, interpersonal relationships, and prosocial behaviour/openness skill of students. In order to validate our approach, an experiment was designed with 108 first‐year university students of Belgrade Business School—Higher Educational Institution for Applied Studies. Experimental and control groups were divided into four‐member groups. The experimental group was divided by using the proposed method and the control group by student selection and random selection. Multilevel analysis is used to determine whether there is a significant difference in learning outcomes between the two groups. The experimental results showed that students from the experimental group achieved significantly higher success than the students from the control group. In addition, computational results obtained with the proposed VNS algorithms are compared and verified with the results obtained by random (Monte Carlo) method. Lay Description: What is currently known about the subject matter of this paper: Group formation have great influence on the success of collaborative learning.Consideration of multiple variables for group formation can be very demanding.Previous computer‐based methods for group formation do not use VNS. What this paper adds: In this paper, new metaheuristic approach for group formation is proposed.The proposed approach considers the scores of a pretest.The proposed approach considers interpersonal relationships.The proposed approach considers prosocial behaviour/openness skill of students. The implications of study findings for practitioners: The proposed approach have positive impact on students' academic performance.This approach can divide a large number of students into smaller groups based on multiple variables. [ABSTRACT FROM AUTHOR]

Background: Collaborative learning can effectively promote the development of higher‐order competencies, where learners collaborate via social interactions to explore and solve complex problems. It has been found that the effective occurrence of collaborative learning requires appropriate external guidance and support. In particular, collaborative interactions in open learning environments are more complex and difficult, which makes it important to provide dynamic interventions for learners according to different collaborative situations. However, the role of facilitators and the characteristics and mechanisms of their interventions have yet to be thoroughly investigated. Objectives: The study aims to uncover the characteristics and patterns of interaction among groups with different collaborative performance and facilitator performance in an open learning environment, and to explore the differentiated role of facilitators in this process. Method: Groups are categorised as high or low based on their collaborative performance and facilitator performance. This study used lag sequential analysis (LSA) and content analysis to explore the interaction patterns of groups with different collaborative performance and facilitator performance. Also, the different roles of facilitators were analysed by comparing the differences in interaction patterns of different collaborative performance groups. Results: The study found that groups with different collaborative performances and facilitator performances showed significant differences in interaction patterns, and the two had crossover effects. There is also variability in the role of facilitators in groups with different collaborative performance profiles. Patterns of transition between different layers of interaction can indicate the level of groups' collaborative engagement. Specific interaction patterns exist that are conducive to enhancing collaborative learning. Conclusions: The results of the study pointed out that groups with different collaborative performance and facilitator performance showed different characteristics of interaction patterns. The role of the facilitator in online collaborative learning is characterised by compensatory and merit‐promoting. High‐quality online collaboration is the result of multiple factors, including learners and facilitators working together. This study has practical implications for the design of instructional interventions for group collaboration in online learning communities. Lay Description: What is already known about this topic: Deep instructional interactions help stimulate group intelligence and promote knowledge creation and deep connections.The facilitation strategies of the instructional implementer in online collaborative learning contexts play an important role in guiding students to engage in interactions and promoting efficient learning.Facilitators need to adopt different intervention strategies for different learners and learning stages to advance collaborative task completion. What this paper adds: Group collaborative performance is closely related to the strength of the connection and the depth of interaction of group members.Roles of facilitator in online collaborative learning can be characterised by strong support, compensation, and merit promotion.High‐quality online collaboration is the result of multifactor interaction between learners and facilitators. Implications for practice and/or policy: Course organisers' rating scale proposed in this study can help screen and train facilitators with excellent attributes.Examining different roles of facilitators can help curriculum designers rationalise the design and organisation of collaborative instruction.When group collaboration is active, learners should be guided through activities for deeper interaction and exploration.When group collaboration is low‐spirited, learners should be encouraged to focus on the stage tasks and explore the tasks step by step. [ABSTRACT FROM AUTHOR]

Background: Virtual reality (VR) is becoming increasingly accessible and being utilized in various organizations to meet education and training needs. Despite its potential, research regarding VR applications has focused on measuring the effectiveness of VR programs relative to non‐VR programs; consequently, the ways in which VR programs are effective remain unclear. Objectives: Recognizing this research gap, this study examined whether task type‐dependent differences in training outcomes exist between VR training and non‐VR training groups. Methods: To examine the effects of VR technology for training purposes in a military setting, we conducted a quasi‐experiment focusing on how the effects vary based on task characteristics. A total of 90 military personnel were randomly assigned to either an experimental group (VR) or a control group (non‐VR). After completing their respective training, the two groups participated in four tasks simulating real battle scenarios and designed to evaluate the effectiveness of the VR‐based training. We analysed primary data collected through survey instruments and performance evaluation using a one‐way between‐group analysis of covariance (ANCOVA) and supplementary interview data using thematic analysis. Results and Conclusions: The quantitative analysis showed that the VR group performed better than the control group on three tasks in which communication, interaction and immediate situational judgements were critical. No difference was found between the two groups in the other task, which involved the routine operation of physical objects. Additional interview data revealed the extent to which trainees perceived the VR training as effective in understanding in‐situ conditions, preparing and practising their own and their team's reactions to emergent situations and in manipulating virtual objects. Implications: Our findings provide insight into VR technology's potential to enhance human performance in various training contexts. VR is specifically effective in training that aim to improve immediate judgement and group coordination. Our findings provide useful information for those seeking to design and develop training environments that maximize the effects of VR. Lay Description: What is already known about this topic: Virtual reality training is widely used to train personnel in high‐risk/cost occupations (e.g. surgeons and military personnel).Virtual reality education and training help to improve cognitive and affective function as well as psychomotor skills.The success of technology adoption depends on how well the task characteristics are aligned with technological characteristics. What this paper adds: The current study helps verify the generalizability of the TTF theory and provides an in‐depth framework that can be used to classify task types to optimize VR training.VR training programs are more effective when assigned tasks involve solving problems in groups and/or require spontaneous decision‐making than individual physical operations. Implications for practice and/or policy: When considering VR integration to an existing or new training program, the types of tasks to be designed in the program should be well‐aligned with the technological characteristics.At the organizational level, strategic adoption of VR in the training field should be initiated instead of replacing the existence of areas in current/traditional training (i.e. individual physical operation in this study). [ABSTRACT FROM AUTHOR]

Background: Online collaborative learning has been widely adopted in the field of education. However, learners often find it difficult to engage in collaboratively building knowledge and jointly regulating online collaborative learning. Objectives: The study compared the impacts of the three learning approaches on collaborative knowledge building, group performance, socially shared regulation, behavioural engagement, and cognitive load in an online collaborative learning context. The first is the automatic construction of knowledge graphs (CKG) approach, the second is the automatic analysis of topic distribution (ATD) approach, and the third one is the traditional online collaborative learning (OCL) approach without any analytic feedback. Methods: A total of 144 college students participated in a quasi‐experimental study, where 48 students learned with the CKG approach, 48 students used the ATD approach, and the remaining 48 students adopted the OCL approach. Results and Conclusions: The findings revealed that the CKG approach could encourage collaborative knowledge building, socially shared regulation, and behavioural engagement in building knowledge better than the ATD and OCL approaches. Both the CKG and ATD approaches could better improve group performance than the OCL approach. Furthermore, the CKG approach did not increase learners' cognitive load, but the ATD approach did. Implications: This study has theoretical and practical implications for utilising learning analytics in online collaborative learning. Furthermore, deep neural network models are powerful for constructing knowledge graphs and analysing topic distribution. Lay Description: What is currently known about the subject matter: Online collaborative learning has been widely adopted in the field of education.Learners often find it difficult to engage in collaboratively building knowledge and jointly regulating collaborative learning. What the paper adds to this: This study compared the impacts of three learning approaches, namely, the automatic construction of knowledge graphs (CKG), the automatic analysis of topic distribution (ATD), and the traditional online collaborative learning (OCL) approach.The findings revealed that the CKG approach could encourage collaborative knowledge building, socially shared regulation, and behavioral engagement in building knowledge better than the ATD and OCL approaches. Both the CKG and ATD approaches could better improve group performance than the OCL approach. Furthermore, the CKG approach did not increase learners' cognitive load, but the ATD approach did. Implications of study findings for practitioners: It is strongly recommended that the CKG approach can be employed to enhance collaborative knowledge building, socially shared regulation, and behavioral engagement in building knowledge in an online collaborative learning context. Both the CKG and ATD approaches contribute to improving group performance.Deep neural network models are powerful for constructing knowledge graphs and analysing topic distribution. [ABSTRACT FROM AUTHOR]

Background: Formative online multiple‐choice tests are ubiquitous in higher education and potentially powerful learning tools. However, commonly used feedback approaches in online multiple‐choice tests can discourage meaningful engagement and enable strategies, such as trial‐and‐error, that circumvent intended learning outcomes. These strategies will not prepare graduates as self‐regulated learners, nor for the complexities of contemporary work settings. Objectives: To investigate whether providing only a score after formative online multiple‐choice test attempts (score‐only feedback) increases the likelihood of students to engage in self‐regulated learning compared with more directive feedback. Measurable outcomes included deeper learning, collaboration, information seeking, and satisfaction. Methods: Data in this mixed methods study were collected from nursing students through surveys, test results, focus groups, and student discussion board contributions. A quasi‐experimental design was used for quantitative data, and qualitative data were analysed thematically against domains of self‐regulated learning. Results and Conclusions: Students receiving score‐only feedback were more cognitively engaged with the content, collaborated constructively, and sought out richer sources of information. However, it was also associated with lower satisfaction. In this study, minimal feedback created states of uncertainty, which resulted in the activation of self‐regulatory actions. Implications for Practice: Providing overly directive feedback for formative online multiple‐choice tests is conducive to surface‐level learning strategies. By minimising feedback and allowing for extended states of uncertainty, students are more likely to regulate their learning through self‐assessment and problem‐solving strategies, all of which are required by graduates to meet the challenges of real‐world work settings. Lay Description: What is already known about this topic: Formative online multiple‐choice tests are widely used in higher education.Feedback is a critical element in the design of effective online multiple‐choice tests.Formative feedback should promote self‐regulated learning.Feedback types used in multiple‐choice tests facilitate strategies not conducive to self‐regulation. What this paper adds: Online multiple‐choice test feedback can influence how students self‐regulate their learning.Less feedback can result in greater self‐evaluation and performance in summative assessment.Less feedback can encourage richer help‐seeking strategies (collaboration and information seeking).However, less feedback can result in student dissatisfaction. Implications for practice and/or policy: Judicious use of feedback is required in the design of online multiple‐choice tests.Educators should consider providing less feedback to promote learner self‐regulation.Satisfaction with online multiple‐choice tests does not necessarily equate to greater learning. [ABSTRACT FROM AUTHOR]

Background: Health sciences education prepares students for social‐ and healthcare by developing evidence‐based nursing, leadership and working life skills, including collaboration. Due to the changes caused by the global pandemic, health sciences education has shifted more to online and hybrid contexts, which can challenge students' competence development. Students' competence development and interaction in collaborative hybrid learning is a little researched area. Objectives: To observe and evaluate health sciences students' competence development in a collaborative hybrid learning context. Methods: This quasi‐experimental mixed‐method study was implemented by providing educational intervention. First‐year Bachelor's degree health sciences students (n = 18) of a Finnish university completed an educational intervention with synchronous online and face‐to‐face learning. Students' collaborative hybrid learning and interaction were video observed, while self‐evaluation of competence development was made with a questionnaire. Results: In the collaborative interactions, the students showed analytical thinking, problem‐ solving and communication and technology skills. Extensive knowledge of health sciences and ethics skills was not strongly visible in interaction. The students effectively used collaborative work time to perform tasks. Cognitive interaction (monitoring and evaluating learning) was observed in 85% and socio‐emotional interaction (expressions of emotions and motivation) in 53% of the data. Related to the students' learning results, the students' ability to communicate and interact with culturally different people improved after the educational intervention. Conclusion: Collaborative learning methods in hybrid learning can create opportunities for students to construct their competence in interaction. Attention should be paid to different areas of competence and the role of socio‐emotional interaction. Lay Description: What is already known about this topic: Health sciences education prepares students for social and healthcare by developing working life skills, including collaboration.Hybrid learning brings benefits but challenges the equity of students with different attention modes.Collaborative learning is widely used but has not been studied much in hybrid context.Students' competence development and interaction in collaborative hybrid learning is a little researched area. What this paper adds: The purpose was to observe and evaluate health sciences students' competence development in a collaborative hybrid learning context.Hybrid collaborative interaction encourages students to construct knowledge in health sciences.The students utilised the collaborative time appropriately.Socioemotional interactions were very visible in collaborative learning. Implications for practice: This study helps educational organisations to design hybrid model education.The design requires pedagogical and technical competence and should include collaborative methods.Attention should be paid to different areas of competence in collaborative learning.The role of socio‐emotional interaction needs more focus in hybrid learning. [ABSTRACT FROM AUTHOR]

Background: Collaborative learning has become a crucial approach to promoting online in‐service teacher training. Appropriate peer recommendation for group composition is the basis to ensure productive learning outcomes of collaborative learning. However, there is a lack of understanding of the impact of peer recommendation on in‐service teachers' online training. Objectives: Therefore, based on the collaborative filtering approach, a peer recommendation mechanism for in‐service teachers was constructed in this study. We investigated the effects of the constructed mechanism on in‐service teachers' online learning performance, interactive knowledge construction behavioural patterns and social networks. Methods: In this study, 82 in‐service teachers were recruited to participate in the study. Participants under the experimental condition (n = 41) were invited to apply collaborative filtering‐based peer recommendation mechanism for grouping, while participants under the control condition (n = 41) were invited to use random grouping method. Participants' interaction data were collected from online collaborative discussion activities in a 5‐week asynchronous online course. The pre‐post knowledge test, content analysis, lag sequential analysis and social network analysis were used to analyse the differences between groups. Results and Conclusions: The following findings were revealed: (1) the experimental group performed better than the control group in terms of online learning performance; (2) interactive knowledge construction behavioural patterns generated in collaborative activities showed that the experimental group achieved deeper level of knowledge construction in collaboration than the control group; (3) social networks generated in collaborative activities showed that the experimental group had tighter interaction relationships than the control group. Therefore, the peer recommendation mechanism could be useful to improve peer recommendation for group composition and had positive effects on in‐service teachers' online training. Implications: This study can shed light on the construction of peer recommendation mechanism in recommending appropriate peers for in‐service teachers and different learners in online collaborative learning. Lay Description: What is currently known about this topic: Appropriate learning peers are conducive to promoting effective online collaborative learning. What this paper adds: This study constructed a collaborative filtering‐based peer recommendation mechanism for recommending appropriate learning peers to improve online collaborative learning of in‐service teachers. The implications of study findings for practitioners: The study findings provide insights into the construction of mechanisms for recommending learning peers in online teacher training and computer‐supported collaborative learning. [ABSTRACT FROM AUTHOR]

Background: Collaborative problem solving (CPS) is important for success in the 21st century, especially for teamwork and communication in technology‐enhanced environments. Measurement of CPS skills has emerged as an essential aspect in educational assessment. Modern research in CPS relies on theory‐driven measurements that are usually carried out as manual annotations over recorded logs of collaborative activities. However, manual annotation has limited scalability and is not conductive towards CPS assessments at scale. Objective: We explore possibilities for automated annotation of actions in collaborative‐teams, especially chat messages. We evaluate two approaches that employ machine learning for automated classification of CPS events. Method: Data were collected from engineering, physics and electronics students' participation in a simulation‐based task on electronics concepts, in which participants communicated via text‐chat messages. All task activities were logged and time stamped. Data have been manually classified for the CPS skills, using an ontology that includes both social and cognitive dimensions. In this article, we describe computational linguistic methods for automatically classifying the CPS skills from logged data, with a view towards automating CPS assessments. Results: We applied two machine learning methods to our data. A Naïve Bayes classifier has been previously used in CPS research, but it is only moderately successful on our data. We also present a k‐nearest‐neighbours (kNN) classifier that uses distributional semantic models for measuring text similarity. This classifier shows strong agreement between automated and human annotations. The study also demonstrates that automatic spelling correction and slang normalization of chat texts are useful for accurate automated annotation. Implications: Our results suggest that a kNN classifier can be very effective for accurate annotation of CPS events. It achieves reasonably strong results even when trained on only half of the available data. This shows a promise towards reduction of manual data annotation for CPS measurement. Lay Description: What is already known about this topic: Collaborative problem solving (CPS) is important for success in the 21st century, especially when teamwork and communication occur in technology‐enhanced environments.Measurement of CPS skills requires classification and annotation of team interactions, in particular their communications, such as chat messages. What this paper adds: We explore possibilities for automated classification of CPS activities using machine learning approaches. Implications for practice: One of the approaches we explored is particularly effective and can help reduce the amount of manual annotations needed for CPS measurements. [ABSTRACT FROM AUTHOR]

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Background: To purposefully integrate information and communication technologies (ICT) into contemporary teaching, teachers must have complex technological, pedagogical and content‐related knowledge (TPACK). TPACK could be fostered through diverse learning environments such as working in a makerspace as part of university teacher training. The development of TPACK in (preservice) teachers depends on how effectively they can assess their own knowledge and adapt their own learning process. Self‐assessment tools can be used to identify and assess their individual TPACK. Objectives: The study presents data on TPACK development through project work in a makerspace. It examines the consistency of self‐assessment and performance tests in relation to TPACK and discusses the applicability of self‐assessment scales to self‐regulated learning. Methods: TPACK self‐assessment takes place among preservice teacher students (N = 327) in a pre‐post design. This is complemented and contrasted with an external assessment in form of a self‐developed performance test (teaching vignettes). Results: Self‐assessment and performance test show a TPACK‐increase resulting in the project work in the makerspace, with higher performing students benefiting more from the intervention than lower performing students. All students tend to overestimate their TPACK before and after the intervention, with low‐performing students overestimating themselves more than high‐performing students. Existing TPACK scales can serve as readily available self‐assessment tools, but should be complemented by other knowledge assessment measures. Furthermore, depending on the results of the self‐assessment, different learning opportunities should be made available so that preservice teachers with a lower TPACK still benefit from the project work in the makerspace. Take Away: Self‐assessments accompanying the work in the makerspace could provide feedback information about TPACK‐related knowledge, learning processes and learning outcomes and thus support students in structuring their work. For this purpose, it seems necessary to improve the quality of self‐assessment to enable reliable reflection on preservice teachers' own learning process. Lay Description: What is already known about this topic: The opportunities for using ICT in schools are developing rapidly, and with them, the demands on teachers' skills (TPACK; e.g., Becker et al., 2020; Eickelmann & Gerick, 2020; Redecker, 2017).Many studies measuring TPACK largely use measurement instruments that required students to self‐assess their TPACK (e.g., Handal et al., 2013; Kaplon‐Schilis & Lyublinskaya, 2019; Lee & Tsai, 2010; Willermark, 2017).Research on TPACK emphasizes that self‐testing TPACK via self‐assessment should be complemented by performance tests in order to better understand the domain‐specific nature of TPACK and its complexity (e.g., Akyuz, 2018; Graham et al., 2009; Voogt et al., 2013). What this paper adds: The research provides information on the extent to which TPACK changes triggered by an intervention can be captured using self‐assessment scales and a self‐developed performance test.The data shows how consistent students' self‐assessments are compared to their demonstrated performance.Furthermore, we critically discuss to what extent scales developed to measure TPACK in scientific studies can also be applied to self‐directed learning. Implications for practice: Prospective teachers must acquire TPACK competences for the implementation of contemporary teaching, which will enable them to produce digital teaching and learning materials in the future, for example. This TPACK is to be trained through self‐organized project work in the pedagogical Makerspace within the framework of university subject teaching.Self‐assessment instruments for TPACK can be more easily used in the field to accompany projects so that students can receive feedback on knowledge, learning process, and learning outcome. However, our study shows that existing self‐assessment instruments can be used mainly in self‐directed learning processes when learning gains on the complexity levels 'remembering' and 'understanding' are to be captured, even though feedback especially in the area of 'applying' TPACK is of great importance for teaching practice. Combining self‐assessments (based on work samples) and performance tests is therefore a promising approach, as the complementary use of performance tests provides insights into preservice teachers' abilities to 'apply' TPACK.The moderate correlation between self‐assessment and performance in our study also shows that self‐assessment is a skill that needs to be learned. Therefore, the use of self‐assessments for self‐regulated learning should be more accompanied by learning opportunities for learning self‐assessment (Bol et al., 2012). [ABSTRACT FROM AUTHOR]

Background: Educational robotics (ER) is a means of teaching technology and engineering to students that offers an active learning environment by encouraging them to create meaningful and unique products. ER also gives students the opportunity to work collaboratively. Objectives: In this study, elementary school students' behavioral patterns were explored while they were working on a collaborative robotics project. Additionally, behavioral patterns of higher‐achievement and lower‐achievement groups were compared. Methods: The participants of the study were a total of 18 students (aged 10–12), including 17 males and 1 female. A problem‐based robotics competition was designed within the scope of the study. The students were asked to design and program a robot based on certain rules in groups within four weeks for this competition. All robot design processes and the competition were video‐recorded. Quantitative content analysis and lag‐sequential analysis methods were used to analyze students' behaviors. Results and Conclusions: The results showed that ER improves collaborative learning, and behaviors in the contributing and planning categories were the dominant behaviors during the robotics project development. Grouping skills of higher‐achievement groups were better. Based on the significant collaborative behavioral patterns that emerged from the study, implications were discussed in terms of theoretical insights and collaborative educational robotics practices. Lay Description: What is already known about this topic: Studies have shown that educational robotics (ER) has a potential impact on students' collaborative learning (CL).Communication and collaboration skills stand out among the 21st century skills that students need to have.Knowledge‐construction behaviours are very important in CL, and researchers have conducted studies to determine behavioural patterns in different technological environments.Previous studies have highlighted the importance of understanding students' behavioural patterns in technology‐assisted learning environments. What this paper adds: This study aims at comprehensively examining collaborative behavioural patterns of elementary school students working on a robotics project.The results showed that behaviours in the contributing and planning categories were the dominant behaviours.Grouping skills of higher achievement groups were better. Implications for practice and/or policy: Our results suggest that ER activities can improve students' co‐regulation skills by supporting the problem‐solving process.ER could be considered as a tool able to contribute to collaborative learning.By using problem‐based collaborative educational robotic activities, students' interactions with their peers can be strengthened.Students' grouping skills should be taken into consideration when establishing groups in ER activities. [ABSTRACT FROM AUTHOR]

Background: The unimaginable power of emerging technologies has transformed education in terms of content creation and instructional design. Due to high value of AR/VR in education, teachers of the 21st century are expected to empower themselves professionally to be able to utilize these technologies in their instructional practices. Despite detailed examination of teachers' readiness for using AR in terms of perceptions, attitudes, and beliefs, very few studies have incorporated AR in teaching theoretical courses of graduate teacher education programs by utilizing constructivist pedagogical strategies. Objectives: The current study investigated the impact of a collaborative AR‐enhanced learning environment on learning gains and technology implementation beliefs in a graduate teacher training course. Methods: Thirty‐one in‐service teachers participated in the study as the experimental (n=15) and control (n=16) groups. An AR app was developed for teaching 20 key concepts of the course Language Curriculum Design. The experimental group was instructed to work collaboratively with the app to learn the content, while the control group learned the concepts using the app in a lecture‐based class. Learning gains were assessed by midterm and final exams and a term project. Results and Conclusions: The results showed that the experimental group outperformed the control group in learning the content and completing the project; and they had more positive technology implementation beliefs at the end of the experiment. Also, the participants were found to have positive attitudes towards the educational and pedagogical values of AR; and if the curricular and situational constraints are removed, they are highly motivated to use AR in their classes. Implications: The findings demonstrated the feasibility of incorporating AR technology into teaching abstract concepts in Art and humanities disciplines; and how teacher educators can benefit from integrating a collaborative approach with AR technology to teach advanced courses. Lay Description: What is already known about this topic: Using AR would affect learning gains and motivation.AR is supported by constructivism and its learning principles including knowledge construction through discovery and experiential learning; active engagement in the learning process by collaboration and interaction among peers; and personalized instruction. What this paper adds: AR can be an effective tool for teaching and learning abstract concepts in humanities as it is in natural sciences and engineering fields of study.Integrating AR with sound pedagogical approaches such as collaborative learning would enhance the development of both lower and higher order thinking skills.When ICT is appropriately integrated into teacher training courses, in‐service teachers' beliefs about the pedagogical and educational values of technology are promoted. Implications for practice and/or policy: This study demonstrates the feasibility of incorporating AR technology in teaching abstract concepts with more mature learners.The study suggests that teacher educators can benefit from integrating a collaborative approach with AR technology to teach advanced courses. [ABSTRACT FROM AUTHOR]

Background: Collaboration has commonly been integrated in computational thinking education to foster novice learning. While the majority of existing studies on developing students' CT skills have been based on competency or personality factors, social factors have been largely ignored. Objectives: This systematic review, framed by social cognitive learning theories, aims to unravel the influencing factors of collaboration in developing computational thinking skills in K‐12 education. Methods: We searched four databases and located 79 publications for synthesis analysis to identify 10 social cognitive factors from personal and learning environmental perspectives. Personal factors are gender, prior knowledge, and motivational attitudes, while the learning environmental factors are roles, partnership, interaction, culture, tools, tasks, and scaffolding. Results and Conclusions: We examined the following five major issues: (a) collaboration elements designed in learning activities; (b) social cognitive factors that might influence the development of computational thinking; (c) the influences caused by social cognitive factors; (d) students' perceived benefits of collaboration; (e) major challenges of integrating collaboration in computational thinking education. The most reported challenges in collaborative classrooms are students' misunderstanding of computational thinking knowledge, negative sentiments, and communication problems. Accordingly, a design framework to facilitate collaborative learning activities was proposed. The design framework can provide a more focused research avenue for examining the effects of collaboration in the development of computational thinking in K‐12 education. Lay Description: What is already known about the topic?: Collaboration has commonly been integrated in computational thinking (CT) education to foster novice learning in K‐12 education.There have been disputes regarding the effectiveness of collaboration in achieving learning outcomes.There is a need for further examination of the influencing factors of collaboration, which might influence students' CT performances. What does this paper add?: Our review identified personal factors (i.e., gender, prior knowledge, and motivational attitudes) and learning environmental factors (i.e., roles, partnership, interaction, culture, tools, tasks, and scaffolding), and revealed their influences in students' CT performances in K‐12 education.The synthesis of students' authentic opinions can yield insights to the possible mechanism of how collaboration can bring benefits to students' CT performances.The design framework generated from the review can shed lights on design an effective learning environment which integrates collaboration in K‐12 CT education. Implications for practice and/or policy?: The collaborative learning process of CT is complex, whereby the effects of social cognitive factors do not stand‐alone but are influenced by personal and learning environmental factors simultaneously.Taking the identified challenges of students, instructors, and operation can help smooth organization of collaborative learning activities of K‐12 CT education.Future students could look more in‐depth into the impacts of the social and situation factors in developing CT. [ABSTRACT FROM AUTHOR]

Background: Socially shared regulation is a vital factor that affects students' collaborative programming performance. However, students' weak group metacognitive skills or inability to adopt shared regulation mechanisms lead to unsatisfactory collaborative programming learning. Objectives: This study proposes an approach to support socially shared regulation in collaborative programming learning in order to enhance students' programming achievements and group metacognition. Methods: A quasi‐experimental study was conducted in a junior high school over a 10‐week period to investigate the impact of the proposed approach on programming achievements, group metacognition, and cognitive load. Forty eighth‐grade students participated in the study, with the experimental group learning via the proposed approach, while the control group used the conventional collaborative programming learning approach. Results and Conclusions: The analysis included data from 38 participants. The experimental results showed that the programming achievements and group metacognition of the experimental group were significantly better than those of the control group. Additionally, the proposed approach did not increase the cognitive load of the students. Implications: This study has important implications for teachers, learners, and researchers in collaborative programming and social regulation. Our proposed collaborative programming learning approach enhances learners' social regulation and performance, providing teachers with an effective tool for improving collaborative programming learning. This study also extends the field of socially shared regulation of learning (SSRL), demonstrating its potential to improve the effectiveness of collaborative programming learning and highlighting the need for future research to explore the mechanisms of SSRL in this context. Lay Description: What is already known about this topic?: Programming learning is difficult for most learners.Collaborative programming is an effective method of programming learning.Students' weak group metacognitive skills or inability to adopt shared regulation mechanisms lead to unsatisfactory collaborative programming learning. What this paper adds?: This study proposes a method to enhance collaborative programming learning by supporting socially shared regulation among students.The study utilized a quasi‐experimental to demonstrate the effectiveness of the approach in improving students' programming learning performance.The shared regulation approach was found to significantly improve students' programming achievements and group metacognition when compared to conventional collaborative programming approaches.Importantly, the shared regulation approach did not increase the cognitive load of the students, indicating its potential for practical implementation in programming education. The implications of study findings for practitioners: This study has shown that an approach that supports social shared regulation can improve student performance in collaborative programming learning, and that teachers can use this approach to help students learn programming better collaboratively.This study also contributes to the field of social shared regulated learning by demonstrating how it can support collaborative programming and improve its effectiveness. [ABSTRACT FROM AUTHOR]

Background: Social network awareness (SNA) enables students to know the online learning context of peers in computer‐supported collaborative learning (CSCL) and it has been used to improve peer interaction and participation in collaborative learning tasks. Mobile learning enables students to access learning content and discuss content with peers regardless of location or time. Because almost every college student has their own mobile device and social networks are ubiquitous in their daily lives, a mobile learning application with social networking is promising for promoting effective learning if students are willing to continually use the application. However, few studies have investigated this. Objectives: In this study, SNA was integrated into a mobile‐based assessment (MBA–SNA). The study investigated whether students were willing to persist in the use of MBA–SNA and the factors influencing this intention. Methods: A 1‐month experiment was conducted to investigate the research question on the basis of the unified theory of acceptance and use of technology (UTAUT). Results: The results demonstrated that (1) students were willing to continue using the MBA–SNA, (2) the incentives influencing behavioural intention (BI) in initial use and continual use differed, and (3) social influence (SI) and perceived playfulness (PP) were the two key determinants of continual use. Implications: The SNA increases the positive impact of SI and PP on MBA continual use so that continual use can be assured. Future research should integrate SNA into other mobile learning apps (e.g., mobile collaborative writing or discussion apps) to enhance continued system use and learning effectiveness. Lay Description: What is already known about this topic: A number of studies have investigated the use of mobile devices to collaborate digitally within small teams and larger classes whilst providing knowledge‐sharing features.Social network awareness (SNA) mechanism can enhance the participation of collaborative learning task and knowledge sharing.However, few research explores the potentials and benefits of the combination of SNA with mobile apps. What this paper adds: This study firstly integrates the SNA into a mobile collaborative APP, namely mobile‐based assessment with SNA (MBA‐SNA).Students are willing to continuously use the MBA‐SNA.The incentive factors influencing behavioural intention at the initial use and continuous use slightly differ.Social influence (SI) and perceived playfulness (PP) are the most crucial determinants to continuous use. Implications for practice and/or policy: It should be investigated whether students are willing to continuously use a new e‐learning system and the factors influencing this intention.SNA increased the effects of SI and PP on MBA continual use, thereby ensuring MBA continual use.Future studies can combine SNA with other mobile learning apps (e.g., mobile collaborative writing or discussion apps) to enhance continued system use and learning effectiveness. [ABSTRACT FROM AUTHOR]

Background: Collaborative computer simulations are available on some online platforms which support students at distributed locations to synchronously collaborate on the simulations to learn sciences. However, how students collaborate with each other in collaborative simulations is not clear. Objectives: The aim of this study was to investigate whether functional interdependency would influence learning. Methods: Two collaborative learning models with different functional interdependencies were examined (the synchronous model and the distributed accountability model). Multiple data sources obtained from 64 students were collected and analyzed. We discuss the collaborative learning with two levels of factors: the individual‐level factors (i.e., individual perceptions of teamwork quality, visual attention and learning performance before and after a simulation activity) and the pair‐level factors (i.e., discourse data and joint attention). Given that the pair‐level factors in the collaborative learning environment may affect the individual‐level factors, we further discuss the interactions of the two levels of factors in different collaborative learning models with hierarchical linear modeling (HLM) analysis. Results and Conclusions: The analytical results of the individual‐level factors found participants in the distributed accountability model demonstrated more frequent and longer attention to the learning activity. Furthermore, the results indicated that the two simulation learning activities would enhance the participants' learning performance except in Q2. For the pair‐level factors, the results demonstrated that the participants in the distributed accountability model showed more active discourse segments but similar joint attention patterns in the learning activity. The results of the HLM analysis indicated that the students in the distributed accountability model had to collaborate with their partners through more constructive dialogue, and focused on the same areas of interest to enhance their learning performance, as the complexity of the distributed accountability design was implemented in a simulation learning activity. Major takeaways: We found that the increase of functional interdependency cannot guarantee students' learning effect in collaborative learning and may hinder the communication that is needed during collaboration. Researcher may need to consider other collaboration tools to enhance the reciprocal reflection. Lay Description: What is already known about this topic: Collaborative simulations are helpful in making the learning process cohesive.The learning effects of functional interdependence in collaborative learning are under debate. What this paper adds: We examined collaborative learning models with different functional interdependencies.We discuss the collaborative learning with the individual‐, the pair‐level factors and their interactions Implications for practice and/or policy: The importance of decreasing cognitive load induced by simulation with high functional interdependency.It is necessary to increase participants' transactive and constructive engagement in collaborative models. [ABSTRACT FROM AUTHOR]

Background: Virtual manipulatives (VMs) are increasingly adopted in inquiry activities. However, the effects of the ratio of mobile device‐based VMs to students and external scripts (a guiding structure for prompting group process) provision on group interaction has not been detailed. Objectives: This study proposed four different technology affordance conditions for collaborative inquiry learning: 1:1 device‐student ratio (one tablet per student) with external scripts, 1:m ratio (one tablet per group) with external scripts, 1:1 ratio without external scripts, and 1:m ratio without external scripts. The purpose of this study is to identify the effect of technology affordances on group behavioural patterns during collaborative inquiry learning. Methods: The research participants were 21 fifth‐grade students from 4 classes (totalling 130 students) in a public elementary school. Students' collaborative inquiry behavioural patterns were video‐recorded during three themed inquiry activities. To identify the behavioural patterns of groups, this study developed an action‐oriented coding scheme for collaborative inquiry learning emphasizing and coded student actions during cooperation. Through lag sequential analysis and dialog content analysis, the behavioural transition modes of groups were obtained. Results: The results show that device‐student ratios and external scripts affect behavioural patterns through resource coordination, information interaction, collaborative atmosphere, and task awareness. Implications: In mobile device‐support collaborative inquiry learning, the 1:m device‐student ratio yielded more exchanges to test and apply new constructions than that of the 1:1 ratio. External scripts were more applicable to the 1:m condition than to the 1:1 condition. Lay Description: What is already known about this topic: Virtual manipulatives are increasingly adopted in inquiry‐based learning.External scripts provided by instructors are scaffolds to facilitate collaboration.The amount and type of support offered to students affects group progress during collaboration. What this paper adds: Device‐student ratios could affect group behavioural patterns through resource coordination and information exchanges in collaborative inquiry learning.External scripts could affect collaborative learning atmosphere and task awareness of group members.The combination of video‐aided multimodal dialog analysis and behavioural transition analysis is a potential way to explore group behavioural patterns.Action‐oriented coding scheme can be used to identify collaborative inquiry characteristics during group interaction. Implications for practice and/or policy: Resource allocation of mobile devices and external support needs to be taken into account when design inquiry learning activities.When and how to give external scripts to students in different device‐student ratio conditions are important for the design of instructional intervention. [ABSTRACT FROM AUTHOR]

Background: Although some researchers have applied both cooperation and competition in the practice of robotics education, most of these practices were not systematic, and there was no integration design for intra‐group cooperation and inter‐group competition. Objectives: The study aims to examine the effects of different coopetition designs on students' intragroup cooperation and intergroup competition. Methods: A two‐stage study was conducted in two elementary schools. In the pilot study, two coopetition designs were developed by combining rewarded and unrewarded competition. In the follow‐up study, three coopetition designs (i.e., zero‐sum with real‐time reward, zero‐sum with delayed reward, and social‐comparison) were examined. Results and Conclusions: The study showed that both social‐comparison coopetition and zero‐sum real‐time reward coopetition can be more effective than zero‐sum delayed reward coopetition in teaching knowledge and skills in robotics education. Social comparison coopetition turned out to have a larger effect on affective outcome than the zero‐sum delayed reward coopetition. Implications: Social comparison coopetition seems to be a more advantages method for both cognitive and affective learning. However, more research is needed to confirm the difference in effectiveness between the three models of coopetition. Lay Description: What is already known about this topic: Pair learning as a form of cooperation learning is helpful to improve students' confidence, productivity, achievement and the quality of cooperation.How to combine cooperation and competition is a key issue. What this paper adds: New coopetition models were designed by combining rewarded and unrewarded competition with pair learning.Social‐comparison coopetition based on pair learning shows great potential to promote intragroup cooperation and intergroup competition.Zero‐sum coopetition with real‐time reward was superior but not overwhelming to the zero‐sum coopetition with delayed reward. Implications for practice and/or policy: Social‐comparison coopetition and zero‐sum with real‐time reward coopetition can be effective teaching methods for robotics learning.Both social‐comparison coopetition and zero‐sum real‐time reward coopetition may be effective methods for teaching knowledge and skills in robotics education.For affective outcome, social comparison coopetition seems to be slightly more effective than zero‐sum delayed reward coopetition. [ABSTRACT FROM AUTHOR]

Background: Mobile learning studies often focus on teachers' perspectives. This study instead considers students' experiences of learning with mobile devices (i.e., m‐learning) in secondary school mathematics and science. Objectives: The research aims to describe the m‐learning experiences of secondary mathematics and science students, and to determine the extent to which distinctive pedagogical dimensions impact students' perceived learning. Methods: A survey instrument using the iPAC mobile pedagogical framework as a theoretical lens is developed and validated. This framework highlights three pedagogical dimensions: personalization, authenticity, and collaboration. Structural equation modelling is used to investigate how each dimension predicts students' perceived improvement in learning, whilst accounting for usage context, among a sample of students in schools where mobile devices are used extensively. Results and Conclusions: Students were in agreement that personalization was a characteristic of their m‐learning experiences, but authentic and collaborative learning were not as strongly featured. M‐learning activities fostering personalization were most important for improving perceived learning; authenticity and collaboration were also significant, but no differences in perceived learning improvement due to location were found. Authentic m‐learning and perceived improvement in learning with mobile devices were significantly higher in science than mathematics subjects. Implications: When teachers design m‐learning tasks that enhance personalization, collaboration, and authenticity, students are predicted to perceive improvements in their learning. The findings suggest that teachers should consider designing technology‐enhanced tasks that improve students' experiences of collaborative and authentic learning, particularly in mathematics for greatest gains in students' perceived improvement in learning. Lay Description: What is already known about this topic:Mobile learning studies often focus on teachers' perspectives and practices or expert commentaries.Issues of usability, access, engagement, motivation, and potential risk are often highlighted rather than pedagogical factors.Mobile technologies provide students with opportunities for more personalized and autonomous seamless experiences across learning contexts.Science teachers frequently use authentic and project‐based m‐learning opportunities, whilst mathematics teachers prefer didactic, drill and practice approaches.What this paper adds:This study focuses on students' m‐learning in secondary mathematics and science.A multi‐item scale considering aspects of authenticity, personalization, collaboration and context is developed and validated.Personalization in m‐learning activities are most important for perceived learning, followed by authenticity and collaboration.Science students report greater authenticity and perceived learning in m‐learning than mathematics students.Implications for practice and/or policy:Highlighting the student perspective is a valued lens to evaluate m‐learning pedagogy and outcomes in student learning.Efforts should be made to develop mobile pedagogies, particularly with respect to authenticity and collaboration.Teachers in mathematics would benefit most from examining practices that improve authenticity. [ABSTRACT FROM AUTHOR]

Background: Online Collaborative Writing (OCW) has been reported to be useful to improve writing quality in higher education. However, challenges emerge during the collaborative processes, mainly centering on how to sustain active interactions and communications in order to complete a high quality of writing. Objectives: Using the design‐based research, this research designs and implements a student‐facing SLA tool that integrates multi‐method analytics to present social interactions, writing topics, and topic connections and to empirically investigate the effects of this tool on student engagement during OCW. Methods: This research uses both quantitative content analysis, statistical analysis, and qualitative analysis to examine the effects of the SLA tool on students' social and cognitive engagement as well as students' perceptions about the usefulness and usability of this tool. Results and Conclusions: Results showed that the SLA tool improved students' social and cognitive engagement, and most students perceived that the SLA tool was useful for the OCW activity. Based on the findings, implications of tool development and pedagogical design are proposed to foster students' online collaborative writing quality. Lay Description: What is currently known about the this topic: Online collaborative writing has been widely adopted in higher education.It is difficult for students to sustain active engagement in OCW.Learning analytics implementations have potential to foster student engagement. What this paper adds: A student‐facing SLA tool was developed to visually demonstrate student engagement.The SLA tool improved students' social and cognitive engagement.Students perceived the SLA tool useful for improving collaborative writing. Implications for practitioners: Tool implications include visualized representation, feedback contextualization, and influence of social comparison.Pedagogical implications include metacognition competency, instructional feedback, and collaborative characteristics. [ABSTRACT FROM AUTHOR]

Collaborative learning is perceived as an important component of Information Communication Technologies (ICT) integration in schools. The purpose of this study was to examine an initiative of the Ministry of Education that promoted intra‐school and inter‐school digital collaborative learning projects. The participants were 159 district ICT leaders, who designed 37 digital collaborative projects containing 73 learning activities to promote inter‐school student interactions. The study was conducted within the qualitative research paradigm through analysis of digital collaborative learning activities. Additionally, the participants were required to share their experiences regarding digital collaboration through an open‐ended online questionnaire. The thematic analysis revealed all four levels of the SAMR model, rating pedagogical changes during technological integration; the most common were the model's two middle levels: Augmentation and Modification. Moreover, we explored the degree of teamwork (information sharing, cooperation, or collaboration), complexity of collaboration (intra‐school vs. inter‐school) and sustainability of collaborative learning within the school culture. Most of the activities reflected the cooperation level of teamwork, while in the highest level—collaboration was less common. Surprisingly, complexity of collaboration and its sustainability in school culture were negatively interconnected. Regarding the extent of collaboration, some activities were categorized as "Islands of innovation," the majority were comprehensive and conducted on the organizational level, while only few involved the wider community‐parents or other stakeholders. Based on the bottom‐up analysis of pedagogical changes in digital collaboration activities, we suggested a comprehensive e‐CSAMR framework. The implications for educational theory and practice are discussed. Lay Description: What is already known about this topic?: Collaborative learning is an important component of ICT integration in schools and can be conducted in the form of within‐school and between‐school digital collaborative learning projects.SAMR model rates four levels of pedagogical change in ICT integration as either minor—Substitution and Augmentation, or substantial changes—Modification and Redefinition. What this paper adds?: We explored the degree of teamwork (information sharing/cooperation/collaboration), its complexity (within‐school/between‐school) and its sustainability in the school culture.The thematic analysis of e‐collaborative projects and teachers' reports revealed all levels of SAMR, while the most common were the model's two middle levels: Augmentation and Modification.Most of the activities reflected the cooperation level of teamwork, while in the highest level—collaboration was less common.Surprisingly, complexity of collaboration (within‐school/between‐school) and its sustainability in school culture were negatively interconnected.Regarding the extent of collaboration, some activities were "Islands of innovation," the majority were conducted on the organizational level, while only few involved parents or other stakeholders. Implications for practice and/or policy: Based on the bottom–up results, we suggested a comprehensive e‐CSAMR framework, which can be used by educators and policy‐makers for analysis of pedagogical changes in e‐collaboration.In between‐school collaboration, educators search for schools that share common parameters with them such as residential area, region, ethnicity, language and religion, students of the same age. [ABSTRACT FROM AUTHOR]

Learners in the process of developing complex skills need a rich mental model of what such skills entail. Textual analytics rubrics (TR) are a widely used instrument to support formative assessment of complex skills, supporting feedback, reflection, and thus mental model development of complex skills. However, the textual nature of a rubric limits the possibility to deliver contextual and dynamic (time‐and behaviour‐oriented) information. In the Viewbrics online tool, we developed a version supporting the delivery of contextual and dynamic information by adding video‐modelling examples with embedded self‐explanation prompts to textual analytics rubrics. We called this combination as video‐enhanced rubrics (VERs). Our current study investigates whether the Viewbrics online tool supports complex skills development and whether either textual‐ or video‐enhanced rubrics best support complex skills' mastery. The study was a three‐group (VERS n = 49, TR n = 54, control n = 50) within‐subjects design. Learners' performance of complex skills was measured through expert, peer, and self‐assessment using the Viewbrics online tool. A multilevel regression analysis shows learners in the TR and VERS conditions consistently outperforming the control condition to varying degrees across skills. However, no differences have been found between the two experimental conditions. Positive results across different complex skills indicate the Viewbrics online tool can be used to support the development of a wide range of complex skills in secondary education. Lay Description: Known about the subject matter: The acquisition of cross‐curricular complex skills such is crucial for pupils in secondary education.It is important that students and teachers develop a concrete and consistent picture of (aspects of) these so‐called 21st century skills in order to streamline both their acquisition.Textual rubrics may still have room for improvement, as many aspects of desired behavior can hardly be put into words.Many schools in secondary education are struggling with how to teach and assess cross‐curricular skills. What their paper adds to this: So, we designed a online (online) formative assessment methodology, with textual rubrics and the video‐enhanced rubrics.And measured complex skill performance in two secondary, pre‐university education schools for 24 weeks and compared with existing educational practice.Both experimental groups perform significantly better in the three complex skills compared to the control group.However, the video‐enhanced group did not outperform the textual rubric group. The implications of study findings for practitioners: Supporting the formative assessment of complex skills is a recommendable activity for practitioners, that will likely bear fruit.However, incorporating video modeling examples into an online assessment methodology does not result in improvement in complex skill mastery. [ABSTRACT FROM AUTHOR]

Encouraging students to actively ask questions during lectures is a formidable challenge that can be addressed through innovative use of information technology. We developed a robotic system that allows students in a lecture to collaboratively decide questions to be asked by a humanoid robot. To verify whether the system reduces hesitation to ask questions during lectures, 62 university students were divided into two groups, and each attended two different mock lectures on the Nobel Prize in Physics. Two lectures were conducted with and without the proposed system in counterbalanced order. Results suggested that students who were usually hesitant to ask questions during lectures became less hesitant to ask questions face‐to‐face when they could use the proposed system. Moreover, the perceived activeness in the lectures increased when using the system. Multiple regression analyses revealed that certain student actions, particularly tweeting and showing agreement with the questions posted by others, were correlated with an increase in perceived activeness. Lay Description: What is already known about this topic: In‐class student passivity is a widespread problem at many schools.Information and robot technologies have focused on addressing student passivity.Existing audience response systems are supportive but with limited degrees of freedom.It is unclear how these systems can encourage face‐to‐face student interactions. What this paper adds: We developed a system for in‐class students to ask questions collaboratively via a humanoid robot.Japanese undergraduates attended two experimental mock lectures with and without the proposed system.Hesitant students felt less hesitation asking questions face‐to‐face in the class with our system. The implications of study findings for practitioners: Significant effects of the robotic system on lecture participation are shown.In particular, it can encourage hesitant students to actively participate in class.Lecturer–student supported communication expected to promote experiences without it.Experiments in real educational settings are recommended to verify system usefulness. [ABSTRACT FROM AUTHOR]

Scholars have suggested that flipped learning can be enhanced by designing effective in‐class learning activities to improve students' higher order thinking skills. Problem posing has been recognized as such a learning strategy that has great potential for improving students' higher order thinking skills. However, it has been reported as a challenging task for most students. Research evidence has indicated the potential of engaging students in group learning with step‐by‐step hints when conducting problem‐posing activities. Therefore, this study proposed a multilevel concept mapping‐based problem‐posing strategy to assist students in completing the problem‐posing tasks in flipped learning. To understand the effectiveness of the proposed strategy, a flipped learning system was developed and adopted in the science class of an elementary school. Seventy‐five fifth graders from three classes were divided into experimental group A, experimental Group B and a control group. Students in Group A used the concept map‐guided problem‐posing strategy for flipped learning (CMPP‐FL), students in Group B used the problem‐posing strategy‐based flipped learning, while students in the control group used the conventional flipped learning strategy. The results showed that the CMPP‐FL was effective in terms of improving students' learning performance, especially for students with higher levels of critical thinking tendency. Lay Description: What is already known about this topic: Flipped learning enabled teachers to have more class time to engage students in applying knowledge.Scholars have suggested that the value of flipped learning can be enhanced by designing effective in‐class learning activities to improve students' higher order thinkingProblem‐posing has been recognized as such a learning strategy that has great potential for improving students' higher order thinking. What this paper adds: This study proposed a multilevel concept mapping‐based problem‐posing strategy to assist students in completing the problem‐posing tasks in flipped learning.A flipped learning system was developed and adopted in the science class of an elementary school.It was also found that the results showed that the concept map‐guided problem‐posing strategy was effective in terms of improving students' flipped learning performance, especially for those with higher levels of critical thinking tendency. Implications for practice and/or policy: Employing concept maps as a guidance for problem posing is a promising approach.It is worth investigating the impacts of the concept map‐guided problem posing approach on the students with different personal characteristics, such as knowledge levels or motivational levels.It is worth applying the approach to other courses in the future to further explore its effectiveness. [ABSTRACT FROM AUTHOR]

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