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Background: Given students' lack of self-directed learning skills and the growing concern about implementing massive online open courses (MOOCs) in K12 education, learning strategies are needed to facilitate MOOC learning. Many studies have provided different strategies for effective learning in MOOCs. However, there is still limited research to confirm whether these strategies effectively support MOOC learning when deployed by secondary schools, which are not MOOC developers. Objectives: This mixed-method study examines the provision of different learning strategies, including a learning guide, an academic mentoring programme, a training workshop, and a reimbursement scheme, and investigates the impact of these strategies on student learning in MOOCs. Methods: The study uses two data sources: (1) surveys with 40 participants and (2) semi-structured interviews with 12 participants. The quantitative data were analysed with descriptive statistics and Fisher's exact test, and the qualitative data were analysed with thematic analysis. Results and Conclusion: The findings indicate that MOOC learners had positive attitudes towards the overall school support, with mentoring enjoying great popularity amongst the students. In terms of the effectiveness of the school support, the mentoring programme and reimbursement scheme were more effective than the university training and learning guide. The paper discusses the implications for researchers and educators.

Background: Providing adaptive scaffolds to help learners develop effective self-regulated learning (SRL) behaviours has been an important goal for intelligent learning environments. Adaptive scaffolding is especially important in open-ended learning environments (OELE), where novice learners often face difficulties in completing their learning tasks. Objectives: This paper presents a systematic framework for adaptive scaffolding in Betty's Brain, a learning-by-teaching OELE for middle school science, where students construct a causal model to teach a virtual agent, generically named Betty. We evaluate the adaptive scaffolding framework and discuss its implications on the development of more effective scaffolds for SRL in OELEs. Methods: We detect key cognitive/metacognitive "inflection points," that is, moments where students' behaviours and performance change during learning, often suggesting an inability to apply effective learning strategies. At inflection points, Mr. Davis ("a mentor agent in Betty's Brain") or Betty ("the teachable agent") provides context-specific conversational feedback, focusing on strategies to help the student become a more productive learner, or encouragement to support positive emotions. We conduct a classroom study with 98 middle schoolers to analyse the impact of adaptive scaffolds on students' learning behaviours and performance. We analyse how students with differential pre-to-post learning outcomes receive and use the scaffolds to support their subsequent learning process in Betty's Brain. Results and Conclusions: Adaptive scaffolding produced mixed results, with some scaffolds (viz., strategic hints that supported debugging and assessment of causal models) being generally more useful to students than others (viz., encouragement prompts). Additionally, there were differences in how students with high versus low learning outcomes responded to some hints, as suggested by the differences in their learning behaviours and performance in the intervals after scaffolding. Overall, our findings suggest how adaptive scaffolding in OELEs like Betty's Brain can be further improved to better support SRL behaviours and narrow the learning outcomes gap between high and low performing students. Implications: This paper contributes to our understanding and impact of adaptive scaffolding in OELEs. The results of our study indicate that successful scaffolding has to combine context-sensitive inflection points with conversational feedback that is tailored to the students' current proficiency levels and needs. Also, our conceptual framework can be used to design adaptive scaffolds that help students develop and apply SRL behaviours in other computer-based learning environments.

Background: Many learners struggle to productively self-regulate their learning. To support the learners' self-regulated learning (SRL) and boost their achievement, it is essential to understand the cognitive and metacognitive processes that underlie SRL. To measure these processes, contemporary SRL researchers have largely utilized think aloud or trace data, however, not without challenges. Objectives: In this paper, we present the findings of a study that investigated how concurrent analysis and integration of think aloud and trace data could advance the measurement of SRL and assist in better understanding the mechanisms of SRL processes, especially those details that remain obscured by observing each data channel individually. Methods: We concurrently collected think aloud and trace data generated by 44 university students in a laboratory setting and analysed those data relative to the same timeline. Results: We found that the two data channels could be interchangeably used to measure SRL processes for only 17.18% of all the time segments identified in a learning task. Moreover, SRL processes for around 45% of all the time segments could be detected via either trace data or think aloud data. For another 27.17% of all the time segments, different SRL processes were detected in both data channels. Conclusions: Our results largely suggest that the two data collection methods can be used to complement each other in measuring SRL. In particular, we found that think aloud and trace data could provide different perspectives on SRL. The integration of the two methods further allowed us to reveal a more complex and more comprehensive temporal associations among SRL processes compared to using a single data collection method. In future research, the integrated measurement of SRL can be used to improve the detection of SRL processes and provide a fuller picture of SRL.

This paper aims to explore time management strategies followed by students in a flipped classroom through the analysis of trace data. Specifically, an exploratory study was conducted on the dataset collected in three consecutive offerings of an undergraduate computer engineering course (N = 1,134). Trace data about activities were initially coded for the timeliness of activity completion. Such data were then analysed using agglomerative hierarchical clustering based on Ward's algorithm, first order Markov chains, and inferential statistics to (a) detect time management tactics and strategies from students' learning activities and (b) analyse the effects of personalized analytics-based feedback on time management. The results indicate that meaningful and theoretically relevant time management patterns can be detected from trace data as manifestations of students' tactics and strategies. The study also showed that time management tactics had significant associations with academic performance and were associated with different interventions in personalized analytics-based feedback.

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: Given the advancement of mobile and sensing technology, the incorporation of augmented reality (AR) in context‐aware ubiquitous learning (CAUL) has offered significant benefits to oral communication development in foreign language learning. Although a great number of studies have been dedicated in this field, only a little research was conducted to formulate a facilitation framework aligning with established learning theories or pedagogies. Objectives: This review thereby examined the facilitation tenets conducive to the best practice of AR‐based CAUL projects for oral communication enhancement and further established a AR‐guided CAUL framework. Methods: The researchers systematically reviewed 17 related empirical AR studies from Web of Science from 2000 to 2021 and synthesized the results with focused second language acquisition theories. Results and Conclusions: Three practical tenets were identified, including facilitating learner‐centred pedagogies with personal and contextual learning supports, incorporating constructivist learning design, and encouraging collaborative learning and higher‐order cognitive skills. Furthermore, in accordance with the synthesized results, a facilitation framework combining situated learning, learning‐by‐doing, and social constructivist design was developed to engage students in a learning, applying, and reflecting process in formal and informal learning contexts. Major Takeaways: For the best practice of oral communication through AR, this review study offers practical facilitation tenets and theoretical framework which are in alignment with research‐proven theories. It is expected that the framework could provide frontline educational practitioners with guidance to foster students' learning outcomes and interactions. Lay Description: What is already known about this topic?: Foreign language learning has become interactive, contextual, and ubiquitous due to the development of mobile computing and sensing technologyThe incorporation of augmented reality (AR) an context aware ubiquitous learning (CAUL) is beneficial for the facilitation of oral communication in foreign language learning What this paper adds?: This paper offers practical facilitation tenets for oral communication development through AR‐based CAUL applicationsA theoretical framework is created for the best practices of AR and CAUL‐based listening and speaking projects Implications for practice and/or policy: The facilitation framework provides clear steps and details of implementation with learning theories to guide frontline educational practitioners and learnersThis paper can assist interested stakeholders to develop learning designs and effectiveness with the combination of theoretical foundation and pedagogical applications [ABSTRACT FROM AUTHOR]

Background: Learning analytics (LA) collects, analyses, and reports data from the learning environment, to provide evidence of the effects of a particular learning design. Learning design (LD) outlines the conceptual framework for a meaningful interpretation of Learning analytics data. Objectives: The study aims to identify the most relevant concepts at the intersection of learning design and learning analytics, how these concepts are integrated into more general thematic areas, and the implications for the research and practice of the learning design and learning analytics synergy. Methods: To this end, the study employs a critical interpretive synthesis (CIS) of the selected papers, and complements it with elements of systematic literature review as well as qualitative content analysis and text analytics that employ machine learning and language technology. Results and conclusions: The most important themes identified are 'analytics', 'learning', 'data', 'tools', 'research', 'framework', 'informed', 'model‐driven', 'participatory', 'technique', 'impact', insight', and 'findings'. The text analytics detected two topic rarely explicitly discussed in the literature: 'evidence‐informed instructional design approaches' and 'design‐based research'. Future research should attempt a holistic perspective towards the LD and LA synergy considering evidence‐informed instructional design approaches as part of a design‐based research methodology that implements evidence‐based teachers' practice and research‐based findings. Lay Description: What is currently known about the subject matter?: The number of studies exploring different aspects of the relationship between learning design (LD) and learning analytics (LA) has significantly increased.LD provides the context of LA and outlines the conceptual framework for a meaningful interpretation of LA data.LA collect, analyse and report data from the learning environment to improve learning design.LD and instructional design (ID) are closely related concepts and practices, although misinterpretation remains of their nature and relationship. What this paper adds to this?: Critical interpretative synthesis (CIS) approach for literature review is introduced.Text analytics to analyse the literature linking LD and LA is applied.The text analytics shows the most relevant concepts, their relationships, and how are they grouped into broader themes.The text analytics identifies 'design‐based research'(DBR) and 'evidence‐informed instructional design approaches' as important concepts that could be used in the future for improving research investigating the relationship between LD and LA. Implications of study findings for practitioners: Integrate the principles and guidelines of evidence‐informed instructional design approaches into a design‐based research process to promote effective, efficient and enjoyable learning implementing process and content types LA indicators.DBR is a natural way of integrating teachers' evidence‐based practice (LD) and research‐based findings (ID). [ABSTRACT FROM AUTHOR]

Background: Virtual reality (VR) offers much potential for learning, but it challenges learners' orientation. Objectives: This paper investigates whether it is possible to use light or movement cues to facilitate orientation in a search task in a desktop‐VR environment so that participants can better attend to the learning content presented simultaneously. Methods: In two pre‐registered online experiments, we investigated the effects of cueing (light and movement) on search time, learning, and several evaluation variables. Participants were asked to find tools in a virtual workshop, while information about the respective tool was narrated. Experiment 1 (N = 60) used a within‐subject design, that is, the objects were alternately highlighted by light, movement or not. For Experiment 2 (N = 159) the narration was substantially shortened, and a between‐subject design was used. Cognitive load and presence were measured additionally. Results and conclusions: In Experiment 1, only the movement cue decreased search time, indicating automatic guidance of learners' attention. There was no effect of cueing on learning, which may be due to the average search time being substantially shorter than the narration, leaving sufficient time to attend to the narration exclusively. In Experiment 2 search times were significantly faster for both cueing methods, but only the light cue resulted in better learning outcomes, which could be explained by the slightly lower presence in the movement cue condition. Implications: Results imply that it is important to develop cues that automatically guide attention without reducing presence. Lay Description: What is already known about this topic: Virtual reality (VR) offers a lot of opportunities for the integration of educational scenarios.VR is challenging for learners with regard to orientation in a 360° environment.Regarding learning outcomes, research on the effects of cues to highlight important content in a 360° environment is still rare.Presence, defined as the feeling of being there in a VR environment, is an important prerequisite for learning in VR. What this paper adds: The influence of light and movement cues on search times and learning outcomes in a desktop‐VR environment was tested.Movement cues can reliably reduce search times (indicating successful orientation), whereas light cues only reduced search times in predictable scenarios.In a predictable scenario, light cues enhanced learning outcomes compared with movement cues.Movement cues reduced presence, which is one potential reason why movement cues did not improve learning. Implications for practice and/or policy: Using light cues might assist orientation and enhance overall performance in predictable scenarios (i.e., when learners know what kind of cue to expect).In an unpredictable setting with variable cues, light cues did not facilitate orientation, whereas movement cues did.However, movement cues reduced presence, which may have negatively affected learning outcomes. It is important to develop cueing methods that also work in more unpredictable settings, but that do not reduce presence. [ABSTRACT FROM AUTHOR]

Background: Given students' lack of self‐directed learning skills and the growing concern about implementing massive online open courses (MOOCs) in K12 education, learning strategies are needed to facilitate MOOC learning. Many studies have provided different strategies for effective learning in MOOCs. However, there is still limited research to confirm whether these strategies effectively support MOOC learning when deployed by secondary schools, which are not MOOC developers. Objectives: This mixed‐method study examines the provision of different learning strategies, including a learning guide, an academic mentoring programme, a training workshop, and a reimbursement scheme, and investigates the impact of these strategies on student learning in MOOCs. Methods: The study uses two data sources: (1) surveys with 40 participants and (2) semi‐structured interviews with 12 participants. The quantitative data were analysed with descriptive statistics and Fisher's exact test, and the qualitative data were analysed with thematic analysis. Results and Conclusion: The findings indicate that MOOC learners had positive attitudes towards the overall school support, with mentoring enjoying great popularity amongst the students. In terms of the effectiveness of the school support, the mentoring programme and reimbursement scheme were more effective than the university training and learning guide. The paper discusses the implications for researchers and educators. Lay Description: What is already known about this topic: There are a large number of K12 MOOC implementations, which are (i) STEM‐related and computer science courses, and (ii) from Europe and the USA.Limited studies provided different learning strategies for MOOC learning from the perspective of K12 schools, which are not MOOC developers.There is a need to explore MOOC initiatives encompassing a wide variety of subjects, including computer science MOOCs and non‐computer science MOOCs, in regions beyond Europe and the USA.There is also a need for further scrutiny of the effectiveness of learning strategies provided by the K12 school. What this paper adds: Our study launched the first MOOC implementation in K12, encompassing several subject areas beyond computer science in the region of Asia.Our study provided different learning strategies adopted by the K12 school, and the analysis revealed that MOOC learners took positive attitudes towards overall school support with mentoring enjoying great popularity with these students.Our study examined the effectiveness of school support and identified that mentoring and reimbursement are more effective than university training and the learning guide. Implications for practitioners: The insights gained from the study enable other K12 schools and educators to implement MOOC into existing school infrastructures successfully.These strategies provided in the MOOC implementation program can be helpful in many different online learning contexts. [ABSTRACT FROM AUTHOR]

Discussion of electronic study books focuses on individual learning styles. Highlights include turning electronic books into electronic study books; the management of information; book users and product adaptation; learner characteristics and the learning environment; learner motivation; learning strategies; and a Style Initiating Module, used to assess learning styles. (Contains 22 references.) (LRW)

Discusses the use of new information technology in schools and reviews research on the psychology of learning and instruction. Highlights include a theory of expertise; individual differences in learning; the role of prior knowledge; social interaction and learning; transfer of cognitive skills; and designing computer-based learning environments. (58 references) (LRW)

A brief, problem-oriented phase such as an inventing activity is one potential instructional method for preparing learners not only cognitively but also motivationally for learning. Student teachers often need to overcome motivational barriers in order to use computer-based learning opportunities. In a preliminary experiment, we found that student teachers who were given paper-based course material spent more time on follow-up coursework than teachers who were given a well-developed computer-based learning environment (CBLE), leading to higher learning outcomes. Thus, we tested "inventing" as an instructional method that may help overcome motivational barriers of teachers' use of computer-supported tools or learning environments in our main experimental study (N?=?44). As a computer-based environment, we used the "Assessment of Learning strategies in Learning journals". The inventing group produced ideas about criteria to evaluate learning strategies based on student cases prior to the learning phase. The control condition read a text containing possible answers to the inventing problem. The inventing activity enhanced motivation prior to the learning phase and assessment skills as assessed by transfer problems. Hence, the inventing activity prepared student teachers to learn from a CBLE in a motivational as well as cognitive way.

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: This research paper presents a cross‐sectional study that examinefs the preferences of students for hybrid teaching and learning scenarios. Unlike previous studies that merely describe hybrid scenarios, this research prioritizes them, offering evidence‐based findings for informed policy decisions. Methods: The data collection method involved eight choice‐based tasks using the conjoint analysis technique conducted with 'Sawtooth' software. The study surveyed students at a mid‐sized university across four departments in Central Switzerland. The sample analysed in this article comprised 319 respondents from the Lucerne School of Business. Results and Conclusions: Our survey found that students' own location during a teaching session played a significant role in determining participation preferences, followed by that of the lecturer. Factors that influenced students' preferences whether to attend onsite or online include workload, didactical format, perceived level of difficulty, student residence, and semester. Forms of hybrid collaboration and student–student interaction did not significantly influence student preferences. Takeaways: The value of this study lies in its evidence‐based findings for specific hybrid scenarios, which can provide useful insights for policymakers in degree programs and faculty in hybrid classrooms. This study is one of only a few to use conjoint analysis with such a high respondent rate to determine student preferences for hybrid attendance. Lay Description: What is currently known about this topic?: Student demand for hybrid teaching scenarios remains high, while many faculty find the scenario technically challenging.Opinions as to the precise features of 'hybrid' vary widely.No clear understanding of the conditions under which students will decide to attend any given class.Demand for additional exchange among online students is recommended in the literature, but often not implemented. What does this paper add?: The study uses conjoint analysis to simulate how students make attendance decisions.The study shows empirically which factors are most important to determine students' attendance.Two‐thirds of the students surveyed prefer an online option.Group composition and informal exchange do not significantly impact students' attendance preferences. Implications for practice/or policy: Students appreciate the flexibility of online learning but expect lecturers to be onsite.Difficult subjects are more likely to be attended onsite.Student residence, workload, degree program, and semester impact students' attendance preferences.No additional infrastructure is needed to encourage exchange among students. [ABSTRACT FROM AUTHOR]

Background: 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: Previous studies have shown that dynamic illustrations, as compared to their static counterparts, lead to higher achievement levels, especially for hand‐based procedures. Other researchers have investigated how the presence of seductive details (i.e., appealing but irrelevant adjunct displays) influences students' interest positively but their learning negatively. Objectives: The purpose of the two present studies was to investigate the effects of animated versus static presentations, combined with the presence of seductive details, on student performance on a paper‐folding task (i.e., origami) in a naturalistic school environment. Methods: Fifty‐five children (5–6 years old) participated in the first study and were randomly assigned to one of four groups. The second study was conducted with older children (72 s or third graders) and a more complex origami task. Results and Conclusions: In the first study, results demonstrated negative effects of seductive details on children's performance and time on task, but no effects of presentation format. In the second study, no negative effects of seductive details on student achievement were found, but animated illustrations significantly improved children's performance and reduced time on task. However, seductive details tended to impair learning more greatly given the presence of static, as compared to animated, presentations. Task difficulties and pupils' ability to inhibit irrelevant information may explain these results. Lay Description: What is already known about this topic: Seductive details negatively influence young children's performance.Animated illustrations have been shown to improve students' learning for dynamic procedure. What this paper adds: This is the first study investigating the influence of animated vs. static illustrations combined with seductive details on children's learning performance.Animated illustrations improve children's performance for a challenging dynamic procedure.Seductive details tended to impair more learning from static than from animated presentations.Results are discussed in relation to the task's difficulty as well as students' ability to inhibit irrelevant information. Implications for practitioners: Animated illustrations should be used when presenting dynamic procedures.Instructors should use seductive details cautiously in pedagogical documents particularly when the task is difficult. [ABSTRACT FROM AUTHOR]

Background: Augmented reality (AR) has been incorporated in context‐aware ubiquitous learning (CAUL) designs to guide learners but few of the designs adopt specific learning theories. Furthermore, there are no CAUL design models that align learning theories to CAUL effectiveness. In addition, CAUL review papers have not documented CAUL developments since AR technology has become normalized. Objectives: A phenomenological research method with expert design input was adopted to build theoretically informed CAUL design models and provide guidelines for AR‐driven CAUL. Methods: The researchers reviewed 38 empirical AR studies in education from 2016 to 2019 in seven high‐impact journals of educational technology using a taxonomy based on CAUL learning theories. Seven domain experts reviewed the findings and provided insights into current developments, patterns of variables, and the proposed AR‐guided CAUL model. The expert feedback was used to refine the CAUL models. Results and conclusions: Research into humanity‐related subjects are growing due to the features of AR, and the majority of studies were in primary education as AR corresponds well with lower‐level cognitive learning tasks. Many AR functions cooccurred with situated learning theory, inquiry‐based learning theory, and collaborative learning theory. A macro‐design model and three micro‐design models of AR‐guided CAUL with specific learning theories was proposed. Major takeaways This study offers a set of AR‐guided CAUL design models aligned with established learning theories. The variables in the CAUL studies are linked with learning theories to clearly show how AR guides learning. The models can guide instructors to meet their students' needs. Lay Description: What is already known about this topic?: Computer assisted ubiquitous learning (CAUL) can assist learners in developing various skills and knowledge.Augmented reality (AR) has been widely incorporated in context‐aware ubiquitous learning (CAUL) designs to enrich and guide learners.Lower‐level cognitive developments are research‐proven features of AR‐based systems. What this paper adds?: This paper offers a set of AR‐guided learning design modes aligned with learning theories.Humanity‐related subjects like English and history are growing due to the features of AR.Three stages of context‐aware ubiquitous learning were found: tag‐searching, image‐tracking, and panorama‐recognizing. Implications for practice and/or policy: The proposed model provides variables and patterns of the variables with learning theories to guide users.This paper can inform researchers on the potential of learning theories to guide learning designs, help instructional designers revise curricula, and help teachers by highlighting effective learning strategies to guide learners with AR. [ABSTRACT FROM AUTHOR]

Multi-touch surfaces have the potential to change the nature of computer-supported collaborative learning, allowing more equitable access to shared digital content. In this paper, we explore how large multi-touch tables can be used by groups of students as an external representation of their group interaction processes. Video data from 24 groups of students working on a logic reasoning problem was examined to identify their levels of reasoning about the task, and how they used the table to support their reasoning. Results indicate that of the 13 groups who solved or nearly solved the problem, 12 used the table to represent their reasoning process, while only four groups who used the table to support their reasoning process did not solve the problem. Examples from three groups are used to explore the different ways the table was used as an external representation of the groups' processes. The findings indicate that the group problem-solving process can be enhanced with the use of multi-touch tables, although students may need support in using the technology effectively to support their collaborative reasoning.

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]

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]

Background: Social annotation (SA) allows users to collaboratively highlight important texts, make comments and discuss with each other on the same online document. This would not only accelerate and deepen learners' cognitive understanding of information, but also help build a sense of rapport, which is critical especially because of the worldwide shift from face‐to‐face class to remote education as a response to the COVID‐19 pandemic. Objective: To provide a systematic review of empirical SA studies, so that current development as well as issues in SA practices and research are identified. Methods: A total of 32 studies were identified and bibliometrical, instructional, and methodological analysis were conducted. Results and Conclusions: The United States has published the most SA research and technology‐related journals are most receptive of SA research; one‐shot quantitative designs with a sample size between 30 and 100 have been adopted most often; there is a lack of theoretical support for SA studies; higher education settings have been more frequently researched than other educational levels; SA technological features and activities have focused more on student uses and outcomes than on those of instructors; self‐designed technologies were more preferred than commercial ones; both cognitive and affective outcomes were emphasized and nearly all studies reported positive findings. Implications: Future SA studies may conduct blended designs with larger sample sizes that is grounded upon solid theoretical frameworks; more customized and affordable SA technologies that support both students and teachers should be developed. Learning analytics and emotional design may be capitalized more to meet the demand of remote education during the pandemic. Lay Description: What is Already Known About this Topic: The behaviour of annotating often helps learners obtain deeper understanding and retain longer memorization of learning content.Social annotation, which capitalizes the advantage of digital tools and collaboration, allows learners to annotate on the same document, and view each other's annotations to ignite discussion and maximize their individual learning.Social annotation has been widely used in educational settings amongst all ages of learners. What this Paper Adds: Provides a systematic review of empirical social annotation studies between 2000 and 2020, highlighting the analysis of bibliometrics, research designs, and learning outcomes and effects.Proposes a conceptual framework (the WIRE model) to guide the design and assessment of social annotation activities.Identifies challenges and gaps in existing research designs as well as instructional practices. Implications for Practice: Instructors can use the results to locate desirable social annotation technologies and design effective activities.Researchers may utilize the trend and research gaps to design future social annotation studies.Programmers can use WIRE to make an initial assessment of social annotation tool designs, and develop more customized products for formal education. [ABSTRACT FROM AUTHOR]

Background: Providing adaptive scaffolds to help learners develop effective self‐regulated learning (SRL) behaviours has been an important goal for intelligent learning environments. Adaptive scaffolding is especially important in open‐ended learning environments (OELE), where novice learners often face difficulties in completing their learning tasks. Objectives: This paper presents a systematic framework for adaptive scaffolding in Betty's Brain, a learning‐by‐teaching OELE for middle school science, where students construct a causal model to teach a virtual agent, generically named Betty. We evaluate the adaptive scaffolding framework and discuss its implications on the development of more effective scaffolds for SRL in OELEs. Methods: We detect key cognitive/metacognitive inflection points, that is, moments where students' behaviours and performance change during learning, often suggesting an inability to apply effective learning strategies. At inflection points, Mr. Davis (a mentor agent in Betty's Brain) or Betty (the teachable agent) provides context‐specific conversational feedback, focusing on strategies to help the student become a more productive learner, or encouragement to support positive emotions. We conduct a classroom study with 98 middle schoolers to analyse the impact of adaptive scaffolds on students' learning behaviours and performance. We analyse how students with differential pre‐to‐post learning outcomes receive and use the scaffolds to support their subsequent learning process in Betty's Brain. Results and Conclusions: Adaptive scaffolding produced mixed results, with some scaffolds (viz., strategic hints that supported debugging and assessment of causal models) being generally more useful to students than others (viz., encouragement prompts). Additionally, there were differences in how students with high versus low learning outcomes responded to some hints, as suggested by the differences in their learning behaviours and performance in the intervals after scaffolding. Overall, our findings suggest how adaptive scaffolding in OELEs like Betty's Brain can be further improved to better support SRL behaviours and narrow the learning outcomes gap between high and low performing students. Implications: This paper contributes to our understanding and impact of adaptive scaffolding in OELEs. The results of our study indicate that successful scaffolding has to combine context‐sensitive inflection points with conversational feedback that is tailored to the students' current proficiency levels and needs. Also, our conceptual framework can be used to design adaptive scaffolds that help students develop and apply SRL behaviours in other computer‐based learning environments. Lay Description: What is already known about this topic: SRL, which involves the regulation of cognitive, affective, metacognitive and motivational (CAMM) processes, is an important construct for effective learning.Novice learners in open‐ended learning environments (OELEs) often engage in sub‐optimal SRL strategies and encounter learning and problem‐solving difficulties.These students are likely to benefit from in‐the‐moment scaffolding, but designing adaptive scaffolds for SRL in OELEs is a challenging task. What this paper adds: The design and implementation of an adaptive scaffolding framework in the Betty's Brain OELE, that (a) detects key cognitive‐metacognitive inflection points during learning, and (b) provides feedback (strategic hints and encouragements) to help students overcome their learning difficulties at the inflection points and develop more effective SRL behaviors.A method to evaluate the adaptive scaffolding framework by analyzing log data collected from a classroom experiment.Findings from the data analysis that provide evidence on scaffold effectiveness and inform future design of adaptive scaffolds in OELEs. Implications of study findings for practitioners: The adaptive scaffolding framework developed in this paper can be extended to other OELEs.The findings from scaffold evaluation can be used to improve the design of the adaptive scaffolding framework in OELEs, for example, by considering affect transitions and cognitive‐affective relationships to build more effective scaffolds for affect regulation. [ABSTRACT FROM AUTHOR]

Background: While the use of digital technologies in collaborative design tasks have gained acceptance amongst educational researchers and instructors, few studies have analysed the application of video‐supported collaborative learning‐by‐design (VSC‐LBD) in the authentic setting of professional education and training. Objectives: This study on VSC‐LBD investigated the learning processes and outcomes of nursing students who collaboratively used a hypervideo authoring tool to learn the procedure about urinary catheter insertion. We hypothesized that the students who collaboratively used a hypervideo authoring tool to learn about a professional procedure would outperform those exposed to a traditional lesson on the same procedure. Further, we assumed that the students who created an instructional video from scratch would obtain higher learning scores than those who worked on existing footage. Methods: Participants (N = 60) worked in groups and were assigned to three conditions: in the first each group recorded a video while simulating the procedure and then turned the footage into a hypervideo (VSC‐LBD1); in the second condition each group already received the raw video to turn it into a hypervideo (VSC‐LBD1); in the third participants attended a traditional lesson (control). Pre‐ and post‐tests measured procedural knowledge acquisition. The co‐regulation episodes within the groups that produced the best and worst videos were assessed and measured. Results and Conclusions: The students in the two VSC‐LBD conditions significantly outperformed those in the control condition. No differences were found between making an original video and using existing footage. More co‐regulatory processing episodes were found in the best video group compared to the other groups. Takeaways: This study supports theoretical assumptions on the value of VSC‐LBD in authentic learning environments and provide useful information to instructors willing to adopt collaborative use of interactive video tools. Lay Description: What is already known about this topic: Video‐based technologies, and more in particular hypervideo with its additional affordances, results an effective tool to support procedural learning.Hypervideo designing is a fruitful Learning‐By‐Design (LBD) activity that allows learners to transform and restructure knowledge.From a pedagogical point of view, giving students collaborative design tasks on video materials showed to be quite effective. What this paper adds: Few studies have investigated the application of video‐supported collaborative learning‐by‐design (VSC‐LBD) in the authentic setting of professional education and training. The same is true when it comes to procedural knowledge acquisition applied to clinical procedures, with most studies focussing on conceptual knowledge acquisition.When working with a learning‐by‐design approach, a clear distinction between the benefit of designing a video from scratch and of designing the hyper‐ components was lacking.Adopting a VSC‐LBD pedagogical approach to support learning of professional procedures in the nursing sector showed to be very effective both looking at the learning processes and the learning outcomes. Implications for practice and/or policy: This study proposes a collaborative design activity to learn professional procedures and demonstrates its affordances in terms of learning gains compared to a traditional lesson.Giving students a collaborative design task to build a hypervideo seems more important than just giving them a design task on the starting video depicting the procedureThe paper provides instructors with the necessary information to develop pedagogically sound design VSC‐LBD activities in time‐sensitive yet effective ways. [ABSTRACT FROM AUTHOR]

Background: The existing literature has predominantly focused on instructor social presence in videos in an asynchronous learning environment and little is known about student social presence on webcam in online learning in the context of COVID‐19. Objectives: This paper therefore contrasts students' and teachers' perspectives on student social presence on webcam in synchronous online teaching through co‐orientation analysis. Methods: Data were collected through an online questionnaire with 14 statements that measured participants' perceptions of webcam use in three constructs in social presence (i.e., emotional expression, open communication, and cohesion). 154 students and 36 teachers from two higher education institutions in Hong Kong responded to the questionnaire, and their responses were analysed using the co‐orientation model. Results and conclusion: Results reveal the perceptual gaps between teachers and students on the use of webcam to promote student social presence by showing how teachers were comparatively more positive about its impacts for learning and consistently overestimated students' preference for it. Through analysing individual constructs/items, this paper argues that using webcams in synchronous online learning could enhance student social presence only to a limited extent in that it may help improve emotional expression and open communication but not cohesion. Implications: The paper advises against the adoption of a clear‐cut policy that webcams should be either recommended or not recommended for online learning. Instead, teachers should take into account students' perspective to find out the types of activities that are apt for using webcams in online learning, and reflective tasks and oral assessments were amongst the ones considered appropriate by students in the study. Lay Description: What is currently known about the subject matter: Teacher presence through videoconferencing is important to the construction of social presence.Student presence on webcam is relatively understudied in online learning during COVID‐19.Teachers struggled to use webcams for online learning during the pandemic.Teachers and students have different concerns about using webcams for online learning that either party may not be aware of. What this paper adds: The current study contrasted teachers' and students' perceptions of student presence on webcam in online learning under COVID‐19.This is the first study using co‐orientation model as the analytical method for this area.There were perceptual differences between students and teachers on the use of webcams in which teachers were comparatively more positive about its impacts for learning and consistently overestimated students' preference for it.Using webcams in synchronous online learning could enhance social presence only to a limited extent in that it may help improve emotional expression and open communication but not cohesion. Implications of study findings for practitioners: The paper advises against the adoption of a clear‐cut policy that webcams should be either recommended or not recommended for online learning.Teachers should take into account students' perspective to find out the types of activities that are apt for using webcams in online learning, and reflective tasks and oral assessments were amongst the ones considered appropriate by students in the study.It reveals how co‐orientation model can be a useful tool for perception studies in higher education. [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]

In recent years, we have witnessed the concomitant rise of communicative and contextualized approaches as well as the paradigmatic development of the mobile-assisted language learning (MALL) framework in analysing language learning. The focus of MALL research has gradually shifted from content-based (delivery of learning content through mobile devices) to design-oriented (authentic and/or social mobile learning activities) study. In this paper, we present two novel case studies of MALL that emphasize learner-created content. In learning English prepositions and Chinese idioms, respectively, the primary school students used the mobile devices assigned to them on a one-to-one basis to take photos in real-life contexts so as to construct sentences with the newly acquired prepositions or idioms. Subsequently, the learners were voraciously engaged in classroom or online discussion of their semantic constructions, thereby enhancing their understanding of the proper usage of the prepositions or idioms. This work shows the potential of transforming language learning into an authentic seamless learning experience.

Mobile devices have been increasingly utilized in informal learning because of their high degree of portability; mobile guide systems (or electronic guidebooks) have also been adopted in museum learning, including those that combine learning strategies and the general audio-visual guide systems. To gain a deeper understanding of the features and limitations of these guide systems in a museum-learning context and also to provide new designs that better guide learners in interacting with peers and exhibitions, in-depth exploration of learners' actual visits and analyses of their behavioural patterns is crucial. This study was based on empirical observation and analysis of the learning behaviours (recorded on video) of 65 elementary-school students who were placed into three groups: mobile guide with problem-solving strategy, audio-visual mobile guide and paper-based learning-sheet guide. By coding and analysing the video and conducting sequential analysis and frequency analysis of learning-related discussion content, behavioural interaction patterns were determined by which the features and limitations of the different types of guides were compared. Among the findings, it was discovered that the students in the problem-solving mobile guide group showed a higher level of two-way interactions with their peers and the exhibits, as well as more learning-related discussions. Relevant suggestions for teachers, researchers and guide-systems developers are also given.

Some children enter elementary school with large vocabulary delays, which negatively influence their later school performance. A rich home language environment can support vocabulary development through frequent high-quality parent-toddler interaction. Elaborated picture home activities can support this rich home language environment. This study compares the effects of a multimedia versus a paper elaborated picture on the parent-toddler interaction and toddlers' vocabulary development. In a within-subjects design, 20 toddlers (age 3-4) discussed a multimedia and a paper elaborated picture with a parent. Results showed that toddlers knew significantly more words (receptively and expressively) after both activities. Moreover, the improvement in receptive vocabulary knowledge was significantly larger with the multimedia elaborated picture compared with the paper-based picture. In addition, both parent and toddler engaged in a significant higher level of decontextualized language in response to multimedia. The present study shows that multimedia elaborated pictures can support parents at home to engage in a parent-toddler interaction that is richer and supports the development of receptive vocabulary more compared with traditional paper-based activities. In the future, multimedia-based home activities for toddlers' vocabulary development, supporting parent-child interaction, can be offered relatively cheap and easily via internet. [ABSTRACT FROM AUTHOR]

Active learning is considered by many academics as an important and effective learning strategy. Assessment is integrated in learning as a tool for learning, but traditional assessment methods often encourage surface learning (passive learning) rather than deep learning (active learning). Peer assessment is a method of motivating students, involving students discussing, marking and providing feedback on other students' work, and is one of the successful approaches which can be used to enhance deep learning. Students are required to think critically about what they are learning during the peer assessment process. Tutors' marking is usually accepted as reliable, but student peers' marking in a peer assessment process is suspect. As part of a study investigating whether peer assessment can be an accurate assessment method in a computer programming course, a novel web-based peer assessment tool has been developed. In this paper, we describe the tool and report the results of evaluating the tool through experiments involving large programming classes. The results suggest that computer-mediated peer assessment is a valuable assessment approach which promotes active learning and is an accurate assessment method in a programming course.

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]

The issues raised by the design and development of technologies to enhance learning has led to a demand for an appropriate language and form of conceptualization. However, we are insufficiently familiar with the way in which different types of mediated tool use occur, to develop the theoretical models needed for the development of this language and form of conceptualization. In its absence a somewhat eclectic variety of concepts and research, such as the concept of affordance, are recruited in accounts of learning with new technologies. In looking briefly at the relevant area in philosophy this paper will consider whether or not the use of concepts such as affordance give adequate weight to social practice, meaning and knowledge in the design of educational technology. A fruitful source for work in this field which has not been sufficiently exploited is philosophy, particularly recent work in epistemology.

This paper reports a phenomenographic investigation into students' experiences of learning through discussion--both online and face to face (F2F). The study context was a second-year undergraduate course in psychology for social work in which the teacher had designed discussion tasks to begin in F2F mode and to continue online. A combination of open-ended questionnaires and semi-structured interviews was used to investigate students' conceptions of what they were learning, their intentions and their approaches to learning through discussion. Analysis of the interview and open-ended questionnaire data identified a number of qualitatively different conceptions, intentions and approaches to learning through discussion. Associations were found between what students thought they were learning through discussions, their approaches to learning through discussion and their course grade. Students with a cohesive conception and students adopting a deep approach (to learning through online discussion) got better course grades. There was no significant difference between deep and surface approaches to F2F discussion and course grade. The outcomes of this study have implications for the design of online and F2F discussion tasks and in particular for helping students adopt richer conceptions of what they stand to gain through discussion.

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: Many learners struggle to productively self‐regulate their learning. To support the learners' self‐regulated learning (SRL) and boost their achievement, it is essential to understand the cognitive and metacognitive processes that underlie SRL. To measure these processes, contemporary SRL researchers have largely utilized think aloud or trace data, however, not without challenges. Objectives: In this paper, we present the findings of a study that investigated how concurrent analysis and integration of think aloud and trace data could advance the measurement of SRL and assist in better understanding the mechanisms of SRL processes, especially those details that remain obscured by observing each data channel individually. Methods: We concurrently collected think aloud and trace data generated by 44 university students in a laboratory setting and analysed those data relative to the same timeline. Results: We found that the two data channels could be interchangeably used to measure SRL processes for only 17.18% of all the time segments identified in a learning task. Moreover, SRL processes for around 45% of all the time segments could be detected via either trace data or think aloud data. For another 27.17% of all the time segments, different SRL processes were detected in both data channels. Conclusions: Our results largely suggest that the two data collection methods can be used to complement each other in measuring SRL. In particular, we found that think aloud and trace data could provide different perspectives on SRL. The integration of the two methods further allowed us to reveal a more complex and more comprehensive temporal associations among SRL processes compared to using a single data collection method. In future research, the integrated measurement of SRL can be used to improve the detection of SRL processes and provide a fuller picture of SRL. Lay Description: What is already known about this topic: To support the learners' self‐regulated learning (SRL) and boost their achievement, it is essential to understand the cognitive and metacognitive processes that underlie SRL.To measure SRL processes, contemporary researchers have largely utilized think aloud or trace data, however, not without challenges.Think aloud and trace data should complement each other and, when analysed concurrently, can provide a more valid and fuller picture of SRL than when analysed separately, which is typically the case in the SRL research to date. What this paper adds: We proposed a novel alignment approach to triangulate the measurement of self‐regulated learning (SRL) based on trace and think aloud data.We defined integration rules to integrate the measurement results from trace data and think aloud, which helped to provide a fuller picture of SRL.The integrated results revealed a more complex, complete and comprehensive SRL process map compared to using a single method. Implications for practice and/or policy: First, our results suggest that using a single measurement method can often reveal SRL processes only partially.Second, our findings indicated that the integration of the two measurement methods could not address all their methodological shortcomings and more research is needed towards new integrative approaches that can further reduce the number of misaligned results.In future research, the integrated measurement of SRL can be used to improve the detection of SRL processes and provide a fuller picture of SRL.More specifically, the integrated measurement of SRL can be used in the future to better (1) test the effects of instructional SRL interventions, for example, scaffolding; and (2) evaluate how learners use specific learning tools. [ABSTRACT FROM AUTHOR]

Examines the cognitive effects of learning to program versus programming as it is experienced in introductory classes. Research studies that have analyzed the cognitive demands of programming are reviewed and criticized, problems of transfer of programming skills are discussed, and 42 references are provided. (LRW)

This discussion of authoring systems focuses on modes of computer-assisted learning delivery and criteria for their selection. Topics discussed include industry's use of authoring systems, a systems approach to designing courseware, media selection, learning strategies, instructional events that comprise learning situations, and cognitive processes. (LRW)

Explains courseware abstraction as a method of creating generalized computer assisted learning (CAL) lessons that can then be applied to provide as many concrete examples as desired. Topics discussed include generative CAL; cost efficiency; lesson verification; student evaluation; and factually exhaustive lessons. (nine references) (LRW)

Discussion of group processes in computer assisted instruction highlights a research program being developed in the United Kingdom to explore computer groupwork with 9-to 12-year-olds. Variables to be considered in the research strategy are described, data collection methods are explained, and student attitudes and teacher roles are discussed. (24 references) (LRW)

This paper focuses on the effectiveness and feasibility of two different kinds of individual learners' support in software training in undergraduate classroom settings. Describes varied user interfaces, including a training wheels interface; compares tutor instruction versus self-learning material; and considers learning time, learning outcomes, and learner satisfaction. (Author/LRW)

Background: As a result of the COVID‐19 pandemic, many teachers found themselves making a rapid and often challenging shift from in‐person classroom teaching to teaching in an online environment. As teachers continue to learn about working in this new environment, research in cognitive and learning sciences, specifically findings from cognitive load theory and related areas, can provide meaningful strategies for teaching in this 'new normal'. Objectives: This paper describes 12 tips derived from contemporary research in educational psychology, focusing particularly on empirically supported strategies that teachers may apply in their online classroom to ensure that learning is optimized. Implications for Practice: These strategies are generalizable across age groups and learning areas, and are categorized into one of two themes: approaches to optimize the design of online learning materials, and instructional strategies to support student learning. A discussion follows, outlining how teachers may apply these strategies in different contexts, with a brief overview of emerging efforts that aim to bridge cognitive load theory and self‐regulated learning research. Lay Description: What is already known about this topic?: Online teaching and learning have become more prevalent due to the COVID‐19 pandemicScientific research provides guidelines for how to optimize (online) learningA key leading theory that can inform teachers is cognitive load theory (CLT)CLT‐inspired research presents guidelines for improving students' learning What this paper adds?: 12 empirically supported tips are presented to inform online teaching and learning practiceAll 12 tips are inspired by and can be explained by CLTEight tips focus on optimizing the design of online learning materialsFour tips cover instructional strategies that can support students' learning Implications for practitioners: Teachers can use these tips when they design their online learning experiencesAppropriate use of these tips should support the learning processUsing these tips should enhance students' retention and understanding of the materialTherefore, these tips should help students perform better on tests [ABSTRACT FROM AUTHOR]