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Background: The impact of mobile technology usage on student learning in various educational stages has been the subject of ongoing empirical and review research. The most recent meta‐analyses on various types of mobile technology use for potential benefits of learning covered the empirical studies up to about nine years ago. Since then, the use of mobile technology in primary and secondary education has increased tremendously, and numerous empirical studies have been conducted on this topic, but their conclusions were inconsistent. Objectives: The purpose of this systematic review is to re‐examine this issue by meta‐analyzing the empirical research studies from the last nine years, with a focus on cognitive, affective, and behavioral learning outcomes in primary and secondary education, and to examine the potential moderators that may have contributed to the heterogeneity across findings. Methods: Based on our inclusion and exclusion criteria, we found 85 studies of 78 peer‐reviewed papers (N = 9157) from electronic databases and major journals in educational technology and mobile learning between 2014 and 2022. We then examined 15 moderators that were expected to affect student learning outcomes. Results and Conclusions: Compared with traditional technology and non‐technology groups, using mobile technology produced medium positive and statistically significant effects on primary and secondary students' learning, in terms of cognitive (g = 0.498, 95% CI [0.382, 0.614]), affective (g = 0.449, 95% CI [0.301, 0.598]) and behavioural (g = 0.339, 95% CI [0.051, 0.627]) learning outcomes. Further moderator analyses revealed that student factors (i.e., community type, students' socioeconomic status), learning process (i.e., hardware used, student‐to‐hardware ratio, teaching method) and study quality (i.e., learning topic/content equivalence, degree of technology use in the control group) were among the variables that moderated the summary effect sizes for at least one learning outcome dimension significantly. The findings and their implications for researchers, policymakers and practitioners are discussed. Lay Description: What is already known about this topic: Mobile learning has become a fast‐growing research field.The benefits of mobile technology usage are related to learning outcomes.The pooled effects of mobile learning have been limited to cognitive learning. What this paper adds: This meta‐analysis focused on mobile learning versus traditional learning.The population was composed of students in primary and secondary education.Mobile technology usage contributed to higher cognitive, affective, and behavioural learning outcomes.Students from low socioeconomic backgrounds and rural areas benefited less from mobile technology interventions. Implications for practice and/or policy: Educational stakeholders need to take actions to adopt and support mobile technology usage in education.Mobile‐learning researchers need to optimize the quality of experimental studies. [ABSTRACT FROM AUTHOR]

Background: Online learning has grown significantly during the past two decades, and COVID‐19 pandemic has expedited this process. However, previous research has shown how academic dishonesty is more prevalent under these modalities. Therefore, there is the challenge of performing trustworthy remote assessments, in order to obtain valid and reliable measures of students' knowledge. Objectives: The research question that drove this research was: what actions have been proposed in contemporary research to improve remote assessment trustworthiness from a technological and pedagogical perspective? Methods: We analysed the papers accepted for the special issue titled 'Trustworthy Assessment and Academic Integrity in Remote Learning' following a deductive qualitative category coding methodology to find the main approaches. Results and conclusions: We identified eight approaches to improve trustworthiness in remote assessment: four for exams and high‐stake tests, one exclusively for performance‐based assessments, and three for any type of assessment. Our findings shift attention from academic dishonesty to trustworthy assessment, integrating recent findings of papers accepted to this special issue. Implications: Our findings deepen current understanding of trustworthy remote assessments, inviting practitioners and researchers to explore different types of assessment methods and different moments related to assessing learning. Lay Description: What is already known about this topic?: Online learning has grown significantly during the last decade.This growth increases the need for online assessment methods that can provide a valid, reliable, and fair measure of student knowledge.Research demonstrated the prevalence of academic dishonesty in online learning.There is a timely need to research and develop methods for trustworthy online assessment, as well as to raise the awareness of researchers, practitioners, and administrators, to the topic and to the solutions at hand. What this paper adds?: A review of the state‐of‐the‐art with respect to trustworthy assessment in online learning.A typology of strategies to improve trustworthy assessment, characterizing the pedagogical approach, technological method, context, and type of assessment.An analysis of different solutions, approaches, and case studies, with respect to the proposed typology.A novel approach to inform the design and implementation of valid and reliable online assessment. The implications for practitioners: The paper presents strategies and approaches for implementing trustworthy assessment in online learning.The paper provides a conceptual framework that can inform the design of valid and reliable assessments methods, and analyse both existing and newly proposed onesHighlighting the importance of including the assessment as an integral part of the instructional design phase of online learning offerings. [ABSTRACT FROM AUTHOR]

Background: The aim of many interventions used by speech and language therapists (SLTs) is to change behaviours related to communication and interaction. Parent‐led language interventions for children in the early years (0–5 years) rely on SLTs supporting parents to change their behaviour in child‐focused interactions to effect a change in the child's communication. Therapeutic techniques used by SLTs in parent‐led language interventions are largely underspecified, impacting on intervention reporting, replication, trialling and development. The Behaviour Change Technique Taxonomy Version 1 (BCTTv1) offers a method of describing intervention techniques developed for use in public health interventions, but with several examples of its application to speech and language interventions. Aims: To identify behaviour change techniques (BCTs) from the BCTTv1 occurring in parent‐led language interventions for children in the early years. Methods & Procedures: A literature search identified relevant descriptions of parent‐led language interventions. These were coded using the BCTTv1. A reliability check was carried out on 10% of the descriptions. To confirm the use of identified BCTs in clinical practice, results of the literature search were triangulated with an online survey of SLTs, and observations of SLTs delivering parent‐led language intervention. Outcomes & Results: A total of 84 papers containing descriptions of 45 interventions were coded; 62 SLTs responded to the survey and three SLTs were observed delivering parent‐led language intervention. A total of 24 BCTs were identified in the literature search, replicated in the observations and verified by SLTs in the survey. BCTs were identified at two levels: Level 1 SLT implemented to change parent interactive behaviour; and Level 2 parent implemented to change child communicative behaviour. Conclusions & Implications: The BCTTv1 is a useful starting place for describing parent‐led language interventions. With some additions and adjustments, BCTs identified in this study were immediately recognized by practitioners and can easily be adopted into practice. WHAT THIS PAPER ADDS: What is already known on this subject: Techniques used in SLT interventions are often not clearly described. The BCTTv1 has been used to clarify technique descriptions with success in a small number of SLT disciplines, but not yet in parent‐led language interventions for preschoola children. What this paper adds to the existing knowledge: This paper constitutes the first research into quantifying the techniques used in parent‐led language interventions using the BCTTv1. What are the potential or actual clinical implications of this work?: This paper provides a clear list of techniques used by SLTs implementing interventions for preschool children, which can be immediately adopted and used in practice. It also highlights potential adjustments and gaps in the BCTTv1 in relation to SLT which can contribute to future iterations. [ABSTRACT FROM AUTHOR]

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

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

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

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

Background: The use of virtual reality (VR) in medical education allows learners to make mistakes safely without risk to patients and to refine a range of clinical skills by repetition. However, there is still wide variability both between, and within countries regarding the amount of training delivered using VR, particularly in relation to intensive care medicine Objectives: To identify the range of uses, phase of development and effectiveness of VR for intensive care unit (ICU) staff training. Methods: The review followed the scoping review framework set out by Levac et al. (2010). A multi‐database search was undertaken. All study types were included if they explored the use of VR for intensive care staff (ICU) staff training. Full paper screening, data extraction and assessment of bias was carried out by a single reviewer with verification by a second reviewer. A narrative synthesis was chosen to summarize the data. Results: The search strategy identified 647 records. Following the removal of duplicates, screening of titles, abstracts and full texts, five studies were included. VR for ICU training has primarily focused on skill acquisition for surgical procedures. The majority of studies in this area were classified to be at an early stage of assessing acceptability, tolerability and efficacy. There was very low‐quality evidence that VR for ICU training is effective. Conclusions: Studies have explored the use of VR for a small number of surgical procedures and emergency patient scenarios. VR for ICU training demonstrates some potential, however further development and high‐quality research is required. Research relating to virtual reality for ICU staff training is currently of weak methodological quality and as such, no recommendations to clinical practise can be made. Wherever possible when using VR for ICU staff training it should be utilized as part of a high‐quality study. Lay Description: What is known about this topic: VR training may offer specific benefits compared to a more traditional method.VR for healthcare training has been shown to be effective in developing a range of clinical skills.The use of VR for healthcare training varies substantially in different clinical areas. What this paper adds: VR for ICU training for intensive care clinicians has mainly focused on the development of clinical skills.VR for ICU training is in the early stages of development.There is a need for further high‐quality research of VR for ICU training for effectiveness of clinical skill training.There is a need for VR training for soft or non‐technical skills. Implications of the study findings for practitioners: VR use in ICU staff training should only be considered as part of an ethically approved study. [ABSTRACT FROM AUTHOR]

With the development of a technology‐supported environment, it is plausible to provide rich process‐oriented feedback in a timely manner. In this paper, we developed a learning analytics dashboard (LAD) based on process‐oriented feedback in iTutor to offer learners their final scores, sub‐scale reports, and corresponding suggestions on further learning content. We adopted a quasi‐experimental design to investigate the effectiveness of the report on students' learning. Ninety‐four freshman from two classes participated in this research. The two classes were divided into the LAD group and the original analytics report (OAR) based on a product‐oriented feedback group. Before the experiment, all the students took the prior knowledge assessment. After a semester's instruction, all the students took the post‐test of the summative assessment. Results indicated that students in the LAD group experienced better learning effectiveness than students in the OAR group. LAD based on process‐oriented feedback was also effective in improving the skill learning effectiveness of the students with low‐level prior knowledge. Lay Description: What is already known about this topic: Feedback is crucial and a growing body of research has investigated the effect of types of feedback.Process‐oriented feedback is continually incorporated in assessment process to support learning.Learning analytics dashboard (LAD) is a great tool for delivering feedback to students. What this paper adds: Develop a LAD based on process‐oriented feedback and implement it in iTutor.Analyse and visualize process‐oriented feedback content based on the process data automatically collected by iTutor.Verify the effectiveness of LAD based on process‐oriented feedback through a quasi‐experiment. Implications for practise and/or policy: Process‐oriented feedback is the main embodiment of learning analysis technology.Students with low prior knowledge benefit more from LAD based on process‐oriented feedback. [ABSTRACT FROM AUTHOR]

Introduction: Student‐led clinics can provide health services to marginalised groups where service offerings are sparse or difficult to access, such as rural areas. Offering these services to children and young people can promote health and well‐being by addressing the individual challenges and the social determinants of health. There is uncertainty, however, as to whether student‐led clinics can meet Australian accreditation standards for health professionals completing degree programs. Objective: This study aims to determine the capacity for health student placements in school‐based student‐led clinics to meet accreditation standards. Design: A systematic scoping review was conducted based on Arksey and O'Malley's framework and the PRISMA‐ScR statement. Setting: Several databases were examined, including Ebsco (Academic Source and CINAHL), ProQuest (PsycINFO, ERIC) and grey literature sources along with a desktop review of accreditation standards across seven health disciplines. Two independent reviewers screened eligible studies. Findings: The search retrieved 1037 records with 65 full‐text papers assessed for eligibility. Eleven papers met the inclusion criteria. Based on the evidence, both nursing and exercise and sports science accreditation standards were best suited to student‐led clinics. Discussion: Although broad categories of work‐integrated learning activities were applied, it appears feasible to expect accreditation standards for health disciplines at an Australian university to be a good fit for health student‐led school‐based clinics. Conclusion: Increasing health student placement opportunities within student‐led clinics can improve the health and well‐being of children and young people in regional, rural and remote (RRR) areas of Australia who may otherwise have limited access to allied health services. [ABSTRACT FROM AUTHOR]

Background: Holocaust memory and learning processes have become increasingly mediatised as a result of rapid technological advances. There is, however, little information available regarding how people learn about this topic informally through social media. Objectives: This paper explores how adult learners develop their learning ecologies by using social media to learn about the Holocaust informally. Methods: The study uses a learning ecology perspective to analyse the interests, expectations and learning process of a group of adult learners (N = 276). An online survey tool was developed to collect information on the interests, expectations, and benefits of learning about Holocaust‐related topics among online users of four Italian Holocaust museums' social media profiles (Facebook, Twitter, Instagram and YouTube). Descriptive and inferential statistics were used to summarise the characteristics of the sample and to answer the research questions. Results and Conclusions: The results show that most of the respondents are mostly women, with an average age of 50 and a higher level of education. In terms of interest and expectations, they are particularly interested in issues related to the intertwining of transnational and national memory. They also express a sense of civic responsibility with regard to the legacy of the Holocaust. Finally, components of the learning process show proactive behaviour and a preference for individual learning, while interaction with peers is considered less important. Takeaways: There is an urgent need to understand how learners' preferences influence the development of learning ecologies and the types of content they are most likely to be exposed to as a result. It is also important for social media content providers to understand that learners are looking for quality resources and trustworthy content to further their education. Lay Description: What is already known about this topic: Teaching and learning about the Holocaust is a field of study with an established scholarly tradition.Social media are information ecosystems that enable novel practices of Holocaust education and remembrance.The concept of lifelong learning ecologies has been developed to explain learning as a multidimensional and complex aspect of human life. What this paper adds: The study is the first to apply learning ecologies to the teaching and learning of the Holocaust through the use of digital technology.The study findings provide insight into how adults learn about the Holocaust informally using social media.The findings suggest that users are more proactive in their individual learning process and less active in interacting with peers. Implications for practice and/or policy: It is important to understand that learners' preferences have implications for the development of learning ecologies and the types of content to which they are most frequently exposed.In addition to providing opportunities for learners to critically reflect on their own learning practices, museum staff provide opportunities for learners to interact with each other and with Holocaust education specialists.Social media content providers should be aware that learners are looking for quality resources and trustworthy content to continue their learning. [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: As the concept of flipped classrooms continues to gain interest across disciplines, more research is needed to strengthen the instructional design by integrating active learning strategies and emerging technologies. Among various possibilities, little is known about how game‐based learning combined with Augmented Reality (AR) can be effectively infused into language education to establish supportive flipped learning contexts. Objectives: This study thus proposed an AR‐enhanced game‐based learning (ARGBL) approach, featuring the use of an augmented board game to engage students actively in classroom activities. It further compared the effects of the proposed approach with traditional game‐based learning on the students' vocabulary acquisition and creative thinking as they were instructed to learn English as a foreign language (EFL) in flipped classrooms. Methods: A quasi‐experimental design was adopted to examine the effectiveness of the proposed approach to promote the students' participation in flipped in‐class activities, thereby improving their learning outcomes. Participants were recruited from two classes of the same undergraduate course, one of which was designated as the experimental group to take part in game‐based learning activities in class by playing an AR‐enhanced board game, and the other as the comparison group to learn by playing a paper‐and‐pencil game with identical puzzle content. The desired student learning outcomes were measured by pre‐ and post‐intervention vocabulary tests and creative thinking tests, supplemented by individual interviews. Results: Results indicated that the students in the experimental group significantly outperformed their counterparts in vocabulary acquisition and creative thinking. They also expressed positive perceptions of the augmented game‐based learning experience in the flipped EFL classroom. Take Away: ARGBL can be a promising approach to improving student learning, and it is particularly beneficial to the design of classroom activities in flipped learning contexts due to its affordances for enriched content visualization and active learner engagement through gameplay. Lay Description: What is already known about this topic: Flipping the classroom is becoming prevalent in education, and researchers have stressed the need to move beyond comparing the outcomes of flipped and non‐flipped settings in order to advance innovation and examine the effectiveness of instructional design.Recent research has shown positive effects of using AR technology for content delivery, with location‐based context‐aware applications being more commonly applied in language education, while the potential of image‐based AR also warrants research attention.Learning by playing games has been considered an engaging strategy that provides benefits for learner engagement, but not all game genres have been fully studied. What this paper adds: This study proposed an ARGBL approach, applying image‐based AR to augment board gaming activities in class when the classroom was flipped.The ARGBL approach was found to significantly improve the students' English vocabulary acquisition.The ARGBL approach was found to significantly enhance the students' creative thinking development. Implications for practice: The innovative merger of image‐based AR and physical board gaming pieces into a hybrid form of mediation, namely the AR‐enhanced board game, likely encouraged face‐to‐face interaction of meaningful language use in flipped in‐class activities, thereby leading to the vocabulary growth and creative thinking development of EFL learners.The effectiveness of the ARGBL approach should be considered as an integrated whole with a holistic understanding of the interplay between the AR technology and the active learning strategy through gameplay in the broader pedagogical context of flipped classrooms. [ABSTRACT FROM AUTHOR]

Abstract: This study reviews empirical research articles published in the field of technology‐enhanced learning in the out‐of‐class contexts in primary schools between the years 2007 and 2016 and explores how the body of research has connected formal and informal learning experiences, referred to in the paper as bridging the gap. The review focuses on 43 selected experiments from 41 research papers, which are in detail examined and classified using the 3 criteria: (a) the Bloom's taxonomy for learning, (b) the intentionality to physical settings classification used to differentiate types of learning in various environments, and (c) the characteristics of seamless learning design. The findings confirm that technology can enhance learning in and out of classroom, especially by impacting student interest, motivation, and engagement. The close examination of the subset of studies with cognitive gains shows that they successfully bridged the gap between learning spaces and that such bridging positively correlates with the number of steps in the learning activity design. The successful bridging of the gap between learning spaces could further benefit from including more online social learning activities into the designed learning process and from involving teachers as cocreators of the learning process and resources. [ABSTRACT FROM AUTHOR]

Background: Academic dishonesty (AD) and trustworthy assessment (TA) are fundamental issues in the context of an online assessment. However, little systematic work currently exists on how researchers have explored AD and TA issues in online assessment practice. Objectives: Hence, this research aimed at investigating the latest findings regarding AD forms, factors affecting AD and TA, and solutions to reduce AD and increase TA to maintain the quality of online assessment. Methods: We reviewed 52 articles in Scopus and Web of Science databases from January 2017 to April 2021 using the Preferred Reporting Items for Systematic Reviews and Meta‐Analyses model as a guideline to perform a systematic literature review that included three stages, namely planning, conducting, and reporting. Results and conclusions: Our review found that there were different forms of AD among students in online learning namely plagiarism, cheating, collusion, and using jockeys. Individual factors such as being lazy to learn, lack of ability, and poor awareness as well as situational factors including the influence of friends, the pressure of the courses, and ease of access to information were strongly associated with AD. A technology‐based approach such as using plagiarism‐checking software, multi‐artificial intelligence (AI) in a learning management system, computer adaptive tests, and online proctoring as well as pedagogical‐based approaches, such as implementing a research ethics course programme, and a re‐design assessment form such as oral‐based and dynamic assessment to reduce cheating behaviour and also sociocultural and sociotechnical adjustment related to the online assessment are reported to reduce AD and increase TA. Implications: Educators should adjust the design of online learning and assessment methods as soon as possible. The identified gaps point towards unexplored study on AI, machine learning, learning analytics tools, and related issues of AD and TA in K12 education could motivated future work in the field. Lay Description: What is already known about this topic: Online assessment has become a global trend in the last 10 years, especially since PISA (2015) and TIMSS (2019) were adopted, then, the increasing adoption of MOOCs and online learning due to the COVID‐19 pandemic.Academic dishonesty (AD) and trustworthy assessment (TA) are hot issues in online assessment practices that are interesting to study.Research findings on the associated factors of AD and efforts to increase TA in online assessments are still inconclusive.Contemporary research on AD and TA in online assessment lacks of comprehensive systematic review. What this paper adds: This paper systematically reviewed 5 years of empirical research (2017–2021) on AD and TA in online assessment in both K‐12 and higher education.This paper revealed the most recent trends developing in the literature regarding the factors contributing to the appearance of AD in online assessment.This paper revealed a recent report on efforts to improve TA in online assessment.This paper recommended several new pedagogical and technological approaches to reduce AD and increase TA in online assessment. Implications for practice: Education managers, professional associations, teachers, and lecturers need to reeducate the academic community about the risks of AD in online assessments.Teachers need to redesign the form of online assessment to achieve HOTs and reduce multiple‐choice questions. On the other hand, oral‐based, project‐based assessments, and student work portfolios are encouraged to be adopted.Online assessment using an adaptive and intelligent online assessment approach, randomization of delivery question systems, smart proctoring, AI for online assessment, and learning analytic technology is recommended to be studied massively.Research on AD and TA at the K‐12 and higher education levels needs to be intensified considering online learning programs in the era of the COVID‐19 pandemic. [ABSTRACT FROM AUTHOR]

Background: Artificial intelligence (AI) has gained increasing popularity in human society, and it is important to educate people about this emerging technology. Many countries have adopted school curricula to incorporate AI into their classrooms. However, developing tools for discovering AI concepts remains challenging. There are few studies on AI education tools, particularly in Thailand. Objectives: This study designs AIThaiGen, a web‐based learning platform for junior high school students that introduces AI concepts. It can communicate with remote hardware stations, allowing students to test their AI models in real‐world scenarios. Methods: A total of 106 students in 7th and 8th grade in Thailand participated, and a single‐group pre‐test‐post‐test research design was employed in this study. Pre‐post‐tests on the basic concepts of AI and the students' attitude questionnaire on AIThaiGen were used to collect and analyse data. Results and Conclusions: The results show that there is a significant improvement (p < 0.001) in the pre‐post‐tests on the basic concepts of AI, and the overall result of the students' attitude questionnaire on AIThaiGen is X¯=3.88, indicating positive outlooks. Furthermore, notable student projects are showcased, highlighting their ability to initiate new ideas for solving real problems after studying with AIThaiGen. Lay Description: What is already known about this topic: Several AI learning platforms with varying target audiences and presentations have been proposed in recent years.Visual programming languages are more suited to novice learners of AI. What this paper adds: This paper introduces an AIThaiGen platform that allows students to learn basic AI without prior programming knowledge.The AIThaiGen platform enables virtual and real hardware control for students by using their trained AI models.This study investigated students' attitudes towards learning AI programming with AIThaiGen and their comprehension of fundamental AI concepts. Implications for practice and/or policy: This study provides design ideas for creating an AI learning platform with a low entry barrier.This study highlights issues that one may encounter when using a web‐based AI learning tool in actual classrooms and suggests potential solutions. [ABSTRACT FROM AUTHOR]

Background: 'Late talkers' (LTs) are toddlers with late language emergence that cannot be explained by other impairments. It is difficult to predict which of these children continue to present long‐term restrictions in language abilities and will later be identified as having a developmental language disorder. Procedural memory weaknesses have been suggested to underlie developmental language disorders, but have not been investigated in LTs. Aims: We investigated the relationships between aspects of procedural memory and school‐age language abilities in children with and without a history of LT. We hypothesized that children with a history of LT exhibit (1) restrictions in procedural memory when compared with children with typical early development (TED); and (2) a positive association between procedural memory and school‐age language abilities. Methods & Procedures: We recruited 79 children (7;5–10;5), 43 of whom had a history of LT. Aspects of procedural memory, procedural learning and motor planning were assessed using the serial reaction time and the end‐state comfort tasks. School‐age language abilities were measured using standardized tests. Outcomes & Results: Counter to expectations, motor planning was not associated with a history of LT or school‐age language abilities, and the children with TED did not show stronger procedural learning as compared with peers with a history of LT. However, weaker school‐age language abilities were associated with weak procedural learning in TED group. Conclusions & Implications: Factors other than deficits in procedural memory are likely to underlie LT. Procedural learning shows promise as a potential predictor of language development in children that are not identified as LTs. What this paper adds: What is already known on the subject: Poor procedural learning has been associated with developmental language disorders and suggested to underlie language difficulties. However, to our knowledge, this study is the first to investigate procedural learning and its associations with language outcomes in LTs. What this paper adds to existing knowledge: Consistent with prior research, we found an association between language abilities and procedural learning in school‐aged children, but found no evidence for poor procedural learning in children with a history of LT. Furthermore, the school‐age language outcomes were only associated with procedural learning in children with no history of LT. What are the potential or actual clinical implications of this work?: Our findings suggest that factors other than limitations in procedural learning underlie LT. However, procedural learning could be a useful predictor for school‐aged language outcomes in children not identified as LTs. [ABSTRACT FROM AUTHOR]

Background: The substantial growth in gamification research has connected gamified learning to enhanced engagement, improved performance, and greater motivation. Similar to gamification, personalized learning analytics dashboards can enhance student engagement. Objectives: This study explores the student experiences and academic achievements using a gamified dashboard in a large, introductory STEM course. Methods: We examined two groups of students enrolled in different sections of a one‐semester‐long physical geology course with a total enrollment of 223 students. The only difference between the groups was that one had access to the dashboard. The data collection included students' assignments, overall performances, and exam scores. Students in both sections completed a Science Literacy Concept Inventory survey at the beginning and end of the term. Additionally, students completed an end‐of‐term survey containing open‐ended questions on their experience and interactions with specific elements. Results: Students shared mostly positive comments about their experience with the dashboard, and the final grade of students with access to the dashboard was 13% higher, on average, compared to their peers in the non‐dashboard section. Conclusion: With low costs and little time invested, gamified dashboards could have a significant impact on student performance in large STEM lecture courses. Lay Description: What is already known about this topic: Leaner dashboards that provide personalized feedback are linked to improved student performance in undergraduate STEM courses. However, students may be reticent to adopt dashboards, especially students in the middle range of the performance distribution, for whom the impact of the dashboard may be most significant.Prior research on gamification in STEM courses suggests that adding gameful elements like progress trackers, badges, and rewards can increase students' engagement in undergraduate coursework.The combination of personalized learning in dashboards and the motivational experience of gamification should boost student engagement, dashboard adoption, and ultimately foster academic achievement. What this paper adds: In this paper, we examine the differences in academic performance between students with and without access to a gamified learning dashboard in an undergraduate Geology course.We observe that students with access to the dashboard (the treatment group), outperform students without access (the control group). The greatest benefit is observed for students who use the dashboard more frequently.Students reported that the progress tracker, the badges, and the rewards all incentivized their use and provided useful feedback about their performance. Students who did not adopt the dashboard expressed a need for more detail about the tool and its purpose. Implications for practice and/or policy: Instructors and instructional designers for large enrollment undergraduate STEM courses should consider the affordances of gamified learner dashboards for increasing engagement and for providing synchronous feedback about learners' strategies in the course.Aligning the dashboard to the content of the curriculum—by ensuring that badges reflect key concepts‐ encouraged participation and helped students identify the utility of the tool. Dashboards should be personalized to individuals and to the course.Adding gameful elements in a low‐cost intervention for increasing adoption and engagement of dashboards in large enrollment introductory courses. [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: This research is inspired by the challenges encountered in interpreter training, changes in learning needs in the technological era, the educational paradigm shift caused by the COVID‐19 pandemic, the lack of studies on combining virtual reality (VR)_and mobile technologies, and literature gaps in the field of the incorporation of technology in interpreter education. Objectives: This research aims to develop a mobile‐based VR application for bi‐directional English‐Chinese and Chinese‐English interpreting learning named 'Virtual Interpreting Practice' (VIP) based on an interpreting competence model and to investigate its impact on students' self‐rated language and interpreting proficiency levels as well as their declarative knowledge and operative skills as reflected in different interpreting modes (sight and consecutive) and language directions (English‐Chinese and Chinese‐English). The VIP app contains learning resources, including 13 learning modules covering both interpreting modes, practical topics and contexts, video lectures and demonstrations, fully immersive VR and non‐VR practice, glossary lists, source texts, translated texts and an online feedback platform. Methods: Thirty‐one native Chinese‐speaking English as a second/foreign (ESL/EFL) undergraduate students used the app for self‐directed learning. The data were collected by the pre‐study and post‐study questionnaires as well as the pre‐test and post‐test. Results and Conclusions: The results indicate that the use of VIP significantly raised the students' self‐rated language and interpreting proficiency levels as well as their interpreting performance in both modes and language directions. While the students performed better in sight interpreting and Chinese‐English interpreting, they achieved a significantly higher improvement rate in consecutive interpreting and English‐Chinese interpreting. Lay Description: What is already known about this topic: A number of studies have demonstrated the use of virtual reality (VR) provides users with senses of multiple presence, enhances learner engagement and motivation, and facilitates collaborative, situated, immersive and experiential learning that is not often available in traditional learning environments.The increasing availability of VR has created new opportunities in the area of mobile‐assisted language learning (MALL), paving the way for a new research area called VR‐assisted language learning (VRALL).Using VRALL, numerous benefits in various language skills have been identified, such as listening, speaking, writing and vocabulary acquisition. What this paper adds: While blending VR and mobile technologies may play a more significant role in education settings and create more advantages, the impact of this combination for interpreting learning has remained an unexplored area in higher education. This paper has addressed the research gaps in which there is a lack of VR language learning apps that are bilingual, mobile‐based and specifically designed for interpreting practice in highly immersive learning environments.The results indicate that the use of VIP significantly raised the students' self‐rated language and interpreting proficiency levels as well as their interpreting performance in both sight and consecutive interpreting and language directions (English‐Chinese and Chinese‐English).While the students performed better in sight interpreting and Chinese‐English interpreting, they achieved a significantly higher improvement rate in consecutive interpreting and English‐Chinese interpreting. Implications for practice and/or policy: The results have implications for the roles of students and teachers. The app developed in this study shifts the teacher‐led approach to student‐centred learning. While it allows more learning autonomy, its effectiveness may largely depend on students' ability to self‐regulate and engage.It appears that the effectiveness of VRALL depends on a number of individual and contextual factors, e.g. the design and functionality of the apps, availability of the internet connection and smartphones as well as learning needs and motivation. [ABSTRACT FROM AUTHOR]

Background: Providing feedback in massive open online courses (MOOCs) is challenging due to the massiveness and heterogeneity of learners' population. Learning analytics (LA) solutions aim at scaling up feedback interventions and supporting instructors in this endeavour. Paper Objectives: This paper focuses on instructor‐led feedback mediated by LA tools in MOOCs. Our goal is to answer how, to what extent data‐driven feedback is provided to learners, and what its impact is. Methods: We conducted a systematic literature review on the state‐of‐the‐art LA‐informed instructor‐led feedback in MOOCs. From a pool of 227 publications, we selected 38 articles that address the topic of LA‐informed feedback in MOOCs mediated by instructors. We applied etic content analysis to the collected data. Results and Conclusions: The results revealed a lack of empirical studies exploring LA to deliver feedback, and limited attention on pedagogy to inform feedback practices. Our findings suggest the need for systematization and evaluation of feedback. Additionally, there is a need for conceptual tools to guide instructors' in the design of LA‐based feedback. Takeaways: We point out the need for systematization and evaluation of feedback. We envision that this research can support the design of LA‐based feedback, thus contributing to bridge the gap between pedagogy and data‐driven practice in MOOCs. Lay Description: What is known about this topic: Learners' scale and diversity hinder timely feedback in massive open online courses (MOOCs).Learning analytics (LA) can optimise learners' support by scaling the feedback interventions. What this paper adds: We present a literature review on LA‐based feedback in MOOCs in the last 12 years.We focused on LA approaches that support instructors in providing feedback.Results show a scarcity of empirical studies related to these LA‐based tools.Results show that limited attention is paid to pedagogical and contextual aspects. Implications of the study findings for practitioners: We address knowledge gaps related to LA‐based tools for feedback in MOOCs.There is a need of LA‐based interventions to consider the course context.There is a need to evaluate the impact of LA‐based feedback in MOOCs empirically. [ABSTRACT FROM AUTHOR]

Background: Despite a great deal of studies on blended language learning, synthesized empirical evidence of its effects on language performance is still lacking. Objectives: To bridge the gap, this study aimed to meta‐analyse the effects of blended language learning on EFL learners' language performance. Methods: Drawing on the framework of AT (Activity Theory), this paper reported results based on a meta‐analysis of the effects of blended language learning on EFL (English‐as‐a‐foreign‐language) learners' language performance with 43 valid effect sizes from 39 experimental and quasi‐experimental studies published during 2000–2021. Results and Conclusions: The results showed that the overall effect size was significantly moderate for language performance, suggesting that blended language learning is more effective than traditional methods. The moderating effects of AT‐related moderators were analysed. The educational levels, intervention durations, geographic regions and software types were found to be significant moderators, while others did not find a significant moderating effect. Implications: The results also provided some practical insights into the pedagogical implications for teachers, practitioners, and researchers in blended language learning. Lay Description: What is already known about this topic: The facilitative effects and educational affordances of blended language learning have been well‐documented.Existing studies have been helpful in affording insights into the use of blended language learning.It is difficult to understand the effect size and potential moderators of blended language learning. What this paper adds: Few studies to date published have directly and systematically meta‐analyse the use of blended language learning.This study meta‐analyzes literature on blended language learning with respect to the framework of activity theory.Blended language learning is found to be more effective than traditional methods. Implications for practice: Pedagogical potentials of blended language learning should be encouraged to explore among EFL learners of different educational levels.Educational affordances of blended language learning should be integrated into the curriculums depending on the educational needs and purposes.Researchers should design the research with larger sample sizes and long‐term durations to increase the reliability of findings. [ABSTRACT FROM AUTHOR]

Community health workers are responsible for finding, processing, and transferring health information to communities with limited access to health‐related resources, including farmworkers. This paper is the culmination of an undergraduate student research project to explore the learning processes and preferences of farmworker‐serving community health workers in the USA. The project was designed for students from farmworker or agricultural backgrounds at two North Carolina universities and was supported by a North Carolina Department of Health and Human Services workforce development grant. Semi‐structured interviews were conducted, in person and virtually, with a convenience sample of 17 current and former community health workers. The interview data were analysed thematically and identified a preference for a combination of learning styles, with visual and hands‐on learning being the most preferred. Community health workers also identified the importance of learning preferences in relation to their responsibilities as health educators. This study provides librarians, along with public health and medical professionals, with useful information about learning preferences to inform the creation of new and varied learning materials for community health workers. [ABSTRACT FROM AUTHOR]

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

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

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

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

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

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

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

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

Background: 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]

Aims and Context: As a University Department of Rural Health, we have identified recurrent areas of service need among vulnerable rural populations, specifically the need for allied health. Concurrently, we have also identified missed opportunities for deliberate collaborative practice in rural clinical placements. This paper provides a commentary on our work in progress as we work to leverage available opportunities to provide both service from and education for health profession students on rural clinical placements. Approach: We developed a transdisciplinary placement model, informed by practice theory, which encompasses pre‐placement preparation, student support, host sites and clinicians, and a structured evaluation strategy. This model aims to facilitate service provision alongside of student learning about community and collaborative practice. In particular, the co‐design of the model is expected to facilitate student's sense of social accountability and reduce stigma in working with vulnerable population groups. Conclusion: This paper highlights the need for greater alignment between rural health education and practice, describes a placement model that is working towards this and showcases how this has been enacted in a remote community in New South Wales. More cross‐sector discussion and evaluation is needed to determine the implications of adopting this model more widely if service and learning opportunities are to be equally achieved, and to determine the ways in which training and service provision can be aligned with community need, as recommended in the recent Rural Health Commissioner Report. [ABSTRACT FROM AUTHOR]

Background: There is a strong association between interactions and cognitive engagement, which is crucial for constructing new cognition and knowledge. Although interactions and cognitive engagement have attracted extensive attention in online learning environments, few studies have revealed the evolution of cognitive engagement with interaction levels. Objectives: The study aims to automatically identify learners' interactions and cognitive engagement and then analyse the evolution of learners' cognitive engagement with interaction levels and during different stages of online learning. Methods: The participants of the study were learners who participated in an online open course. Their text data from discussion forums on five learning themes were collected. Data were analysed using text mining and ENA. Results: Learners' cognitive engagement in online learning was related to interaction levels. As learners' online interaction levels changed from surface to deep, cognitive engagement levels changed from low to high. With the continuous occurrence of deep interactions, cognitive feedback became more complex. At the social–emotional interaction level, although learners' cognitive engagement levels began to change from low to high, complex cognitive feedback was still insufficient. In addition, the analysis of the evolution of cognitive engagement during different stages of online learning showed that learners' patterns of cognitive engagement changed significantly as the learning process continued, from initially dynamic and complex to a stable development pattern. Implications: The results of the study are of theoretical significance and practical guidance for further understanding the relationship between online interaction levels and cognitive engagement as well as the process of online collaborative knowledge exploration, construction, and even connectivity. Lay Description: What is already known about this topic: Interactions and cognitive engagement are crucial for constructing new cognition and knowledge.Several studies have examined learners' interactions and cognitive engagement in online learning environments using subjective, time‐consuming analysis methods such as self‐reporting and manual coding.Although the relationship between interactions and cognitive engagement has attracted extensive attention in online learning environments, few studies have revealed the evolution of cognitive engagement with interaction levels. What this paper adds: Learning analytics can be used to automatically identify interactions and cognitive engagement in online discussion forums, which improves the classification performance.Learners' cognitive engagement in online learning is related to interaction levels. As learners' online interaction levels changed from surface to deep, cognitive engagement levels changed from low to high, and cognitive feedback became more complex, however, at the social–emotional interaction level, complex cognitive feedback was insufficient. Learners' patterns of cognitive engagement changed significantly as the learning process continued, from initially dynamic and complex to a stable development pattern during different stages of online learning. Implications for practice and/or policy: The evolution of cognitive engagement with interaction levels is helpful for knowledge construction, production and even connectivity in open learning environments.Learners should actively participate in discussions to provide complex cognitive feedback in an open online learning environment.When the discussion is off‐topic, instructors need to promptly remind learners and gradually guide it back or clear rules and requirements should be set before the topic discussion begins to minimize the contribution of low‐quality knowledge.Instructors can design tasks with high‐value attributes in an open online learning environment. [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: Many researchers have explored the impact of various technologies in museums on learning effects. Whether the application of technology in informal museum learning is effective, is the current issue that scholars pay more attention to. Objectives: This study will find the evidence to determine the effects of technology use on museum learning outcomes, and identify the future research trends in the field of technology application in museum learning. Methods: This study used a meta‐analysis method to statistically analyse the experimental and quasi‐experimental research in this field, and explored the effect sizes of technology application on the learning effect of museums. And the co‐citation network analysis method was used to analyse the distribution of academic groups and research institutions in this field and the changes in research hotspots. Results and Conclusions: The results show that technologies significantly enhance noncognitive learning. Significant differences exist in the effects of the moderating variables on the influence of technology on the learning outcomes of museum learning. The scholars engaged in this research field come from various countries or regions and institutions. The research hotspots of and extended research on technically supported museum learning have changed continually in the past decade. Major Takeaways: This study answers the question of "whether, how, and to what extent does the application of technology affect the learning effect of museums". According to the research conclusions, certain suggestions are proposed in this paper from the perspectives of researchers and museum institutions for the effective application of museum technology. Lay Description: What is already known about this topic: The formal learning in the classroom has been unable to meet the learners' thirst for knowledge, and the museums have become the main educational battlegrounds for inheriting history and culture and popularizing scientific knowledge.Some studies have proved that the use of some technologies in the museum can affect the learning effect of learners.The application of technology is an important part of the physical situation among the three major situations of museum influencing factors. What this paper adds: This paper integrated meta‐analysis with co‐citation network analysis method is used to analyse and evaluate the 34 experimental or quasi‐experimental studies and 572 citations.The contextual model of learning was used as a theoretical framework to construct the meta‐analysis framework.The moderating effects of technology category, museum category, learner category and visiting mode on museum learning effect were significantly different. Implications for practice and/or policy: Researchers in museum learning must strengthen academic exchange and cooperation and explore a new path for museum technology integration.The administrative organizations of museum institutions must accelerate the construction of museum resources and implement the "new normal" of the integration of exhibition and education. [ABSTRACT FROM AUTHOR]

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

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

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

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

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

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

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

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

Background: Students who are blind are integrated into public schools in many countries, yet are often excluded from full participation in science since most learning materials are visual. To create a compensatory route, an existing model‐based inquiry‐learning environment was adapted by means of sonification (addition of non‐speech sounds that represent dynamic information). The learning environment uses agent‐based models and a complex systems approach to teach the Kinetic Molecular Theory (KMT) and Gas Laws. The models are accompanied by a workbook consisting of text (printed or auditory) and images (printed or tactile). Objectives: The current research examined whether such perceptual compensation creates a comparable learning environment for learners who are blind compared with learners who are sighted using the original learning environment. The aim of the study is to expand knowledge about how the auditory channel may compensate the visual channel among individuals who are blind. Methods: Conceptual learning in science and reasoning about complex systems were assessed using pre‐ and post‐questionnaires. To explore learners' learning progression throughout the unit, four progression analysis 'windows' were selected. These were groups of adjacent or nearly adjacent items in the workbook that permitted a glimpse of learners' progression. Results: The sonified environment not only supported the learning of learners who are blind compared with the learning of learners who are sighted using visual material, but even furthered their learning with respect to diffusion, one of the more challenging concepts in KMT. It seems the types of sonified representations used in this study increased listeners' sensitivity to the micro‐level interactions in a way less accessible in visual representations. Takeaways: Sonified environments can be provide learners who are blind with equitable participation by compensating and complementing the visual channel. Sonification can have implications for students who are blind as well as students who are sighted. Lay Description: What is already known: Sonification is the use of non‐speech sounds to represent dynamic information. Sonification can potentialy be used to allow equitable participation for students who are blind. What this paper adds: To test this, the study compared the outcomes of learners who are blind who used a sonified learning environment (L2C) to that of learners who are sighted who used a visual environment. Implications for practice: Learners who are blind showed equal or better learning outcomes using the sonified models compared with the learners who are sighted using the visual models. There are major implications for integrating students who are blind in public school classrooms. [ABSTRACT FROM AUTHOR]

Background: Students often show unfavourable attribution: they attribute poor school performance to stable factors such as lack of ability and good school performance to variable factors such as effort. However, attribution can be influenced by individualized digital re‐attributional feedback leading to positive motivational effects and higher learning outcomes. This is very promising, but it still is unclear, whether this digital re‐attributional feedback can also be successfully integrated in everyday classroom activities. Objectives: The present field experiment investigated how integrating digital re‐attributional feedback into classroom instruction affects student attribution, motivation and learning outcomes. Methods: In the experiment, 8th–10th grade high school students (N = 322) worked with a digital mathematics learning program which was integrated in a three‐week teaching unit. Half the students in each classroom received only standard feedback after each practice task (SF group); the other half received additionally an individual re‐attributional feedback (RF group) after every third task. Attribution, mathematics self‐concept, and self‐efficacy were measured by an online questionnaire twice a week; learning outcomes in mathematics were measured weekly. Results and Conclusion: Hierarchical analyses showed that re‐attributional feedback led to a more favourable attribution in case of success on stable factors. Especially low‐performing students benefited from this feedback. No effects on attribution in case of failure, self‐efficacy or learning outcomes could be found. Further research could investigate if certain adaptations to the digital re‐attributional feedback is more effective in a real classroom setting and has a broader impact on different students. Lay Description: What is already known about this topic: Working with computers in the classroom and at home is becoming more common.Re‐attributional feedback can increase student's motivation when given directly after solving a task and at a high density.Digital re‐attributive feedback can be given in a high density.Re‐attributional training sessions have been shown to be effective in individual training sessions or outside the students' classroom. What this paper adds: The study took place within a real teaching environment during mathematics class for 4 weeks.Digital re‐attributional feedback sessions were directly integrated into the students' online learning which was part of the teaching plan. The implications of study findings for practitioners: Computer‐based re‐attributional training show some limited effects in regular classroom instruction and could be well integrated in student online learning—when adapted accordingly.Low‐performing students show less favourable attribution than better‐performing students in case of success and benefit the most from re‐attributional training. [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: During the COVID‐19 pandemic, online collaborative problem solving (online CPS) has become one of the most crucial learning methods to develop students' learning performance. However, it remains unclear of the effectiveness of the online CPS method on students' learning performance. Objectives: To explore the overall effect of online CPS methods on students' learning performance and identify the moderating factors that influence this impact, we employed a meta‐analysis approach to analyse the combined effects of 31 articles. Results: The results showed that the online CPS method had a medium impact on students' learning performance, with an overall effect size of 0.526. The moderator analysis indicated that the online CPS method was more effective for (a) college preparatory learners, (b) the discipline of Economics, (c) grouping method of assigned, (d) teacher‐led instruction, (e) study duration of 2 to 4 weeks, (f) group size of 3–5 members, (g) synchronous online environment and (h) cognitive performance. Implications: Based on these findings, we recommend using the online CPS to improve students' cognitive and affective learning performance. To enhance students' social learning performance, instructors should design reasonably to use collaborative scaffolding to engage students purposefully and constructively in online CPS activities. Lay Description: What is already known: During the COVID‐19 pandemic, the online collaborative problem solving (CPS) method is gaining increased popularity.The impact of the online CPS method on students' learning performance has aroused the great interest of scholars.Research on the effectiveness of the online CPS method on students' learning performance is inconsistent. What this paper adds: Research on the influence of the online CPS method on students' learning performance, such as in cognitive, affective and social three‐dimensional learning performance.The online CPS method had a medium positive effect on students' cognitive performance and a moderate to low positive impact on students' affective and social performance.Considering some moderating variables (such as group size, educational level, group method, study duration, discipline, intervention measure and online environment), explore the effectiveness of the online CPS method on students' learning performance. Implications for practice: We recommend using the online CPS method to improve students' cognitive and affective learning performance.To enhance students' social learning performance, instructors should design reasonably to use collaborative scaffolding to engage students purposefully and constructively in online CPS activities. [ABSTRACT FROM AUTHOR]

Background: Video conferencing learning offers a more accessible and flexible learning mode for students who cannot attend face‐to‐face class in person. However, research about the video conferencing learning is still lacked, especially for students' engagement in this setting. Objectives: This study adopts the self‐system model of motivational development to uncover effects of the video conferencing learning environment (VCLE) to students' engagement. Methods: Two hundred and ninety‐eight primary school students involved in the VCLE were surveyed. The partial least square structural equation modelling was employed to explore the link between the VCLE and students' engagement with a mediating role of basic psychological needs satisfaction (BPNS). Results and Conclusions: Results showed that the BPNS played a mediating role in the processes from the VCLE to engagement. Both pedagogical and social affordance had a significant effect on the BPNS. However, their influences were different. Specifically, pedagogical affordance yielded a stronger effect on the BPNS for autonomy than social affordance. The predicting power of social affordance on BPNS for relatedness and competence was stronger than pedagogical affordance. Generally, social affordance yielded more contributions to behavioral and emotional engagement than pedagogical affordance. Moreover, BPNS for competence was the only significant mediator between the VCLE and behavioral engagement, and it owned the strongest mediating power on the relationship between the VCLE and emotional engagement, followed by autonomy, and the smallest of relatedness. This study suggests that practitioners and researchers should give more consideration to improve social affordance of the VCLE and to meet students' BPNS especially for competence in order to design and implement an engaged video conferencing course. Lay Description: What is already known about this topic: Video conferencing learning provides an accessible and flexible learning mode.Mechanism from learning environment to engagement is helpful to design an engaged video conferencing course.Less is known about how video conferencing learning affects students' engagement. What the paper adds: This study uncovered the functioning process of video conferencing learning to students' engagement.PLS‐SEM was employed to verify the mediating role of BPNS in this process.BPNS for autonomy, competence, and relatedness played mediating roles and their powers were different. Implications for practice and/or policy: More attention is needed to improve to social affordance to enhance students' emotional engagement.BPNS especially for competence deserves special consideration to improve students' behavioral and emotional engagement. [ABSTRACT FROM AUTHOR]