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Background: In the digital environment, users' academic reading behaviour has changed, working with many articles simultaneously to search, filter, scan, link, annotate and analyse content fragments. The semantic enhancement environment has been widely set with semantic technologies to offer additional and handy support for users and thus facilitate the reading process. Despite many efforts devoted to developing a semantic enhancement environment, less attention has been paid to its actual effects. Objectives: This study aims to explore the effects of a semantic enhancement environment. Methods: Elaborating on cognitive load theory and focusing on academic reading, this study compared users' cognitive load and reading effect under the semantic enhancement environment and plain text environment and verified the three hypotheses. Results and conclusions: Through experiments and statistical analysis, this study found that, under a semantic enhancement environment, users had their cognitive load reduced and their reading effect improved. Consequently, a semantic enhancement environment promotes academic reading. Takeaways: This study adds to previous literature on semantic publishing by empirically corroborating the conducive effects of semantic enhancement environment in academic reading. Additionally, it justifies semantic publishing and provides a reference for the future design of semantically enhanced reading environments. Lay Description: What is already known about this topic?: The effects of a semantic enhancement environment are open to discuss.Academic reading is fundamental to researches and hence needs promotion.Limited studies investigated the effects of a semantic enhancement environment on academic reading.Publishers require effective reading environment designs. What this paper adds?: This study constructed a semantic enhancement reading environment to conduct a reading experiment.The experiment tested cognitive load, by using WP scale, and reading effects, by answer time and answer score.Semantic enhancement environment reduces users' cognitive load, promotes users' reading effects, and bolsters users' understanding of academic reading materials, especially in microstructure content.The design of semantic enhancement reading environments needs to fully consider the features of reading materials and give users a controllable way of interaction. The implications of study findings for practitioners: Compared to plain text environment, semantic enhancement environment is preferred in academic reading.Publishers are encouraged to add semantic enhancements to their publications.This study discussed how to design an effective learning and reading environment from the perspectives of reading resources, media forms of resources, and interaction modes. [ABSTRACT FROM AUTHOR]

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

Background: Instructional videos constitute a pivotal component in flipped learning. Despite their significance, there is a dearth of research specifically dedicated to instructional videos within the context of flipped classrooms. This paucity has led to an empirical void in verifying the efficacy of instructional videos in flipped learning environments. Objectives: The present study endeavours to contribute to the extant literature on flipped pedagogical practices by providing empirical evidence regarding the effectiveness of instructional videos in flipped learning environments. Methods: This study employs a convergent mixed‐methods design. Forty‐five instructional videos in three subtypes were administered in two classes over a 15‐week semester. Data, both quantitative (log data from the learning management system) and qualitative (from focus group discussions at two time points), were concurrently collected from a flipped class (n = 25) and a blended class (n = 28) with the aim of gauging student engagement and learning outcomes in the flipped class and understanding video‐viewing features typical of the flipped class. Results: Both datasets corroborated that participants in the flipped class outperformed their counterparts in the blended class in terms of video‐watching, peer interaction, knowledge retention, and transfer skills. Conclusions: The instructional videos within the flipped classroom setting serve to enhance student engagement in the learning process and improve learning outcomes. The efficacy of these instructional videos in flipped learning can be further augmented through strategic approaches in both their design and implementation. Lay Description: What is currently known about this topic: The flipping pedagogy is conducive to learning.Videos play a crucial role in flipped learning.Videos prepared students for classroom activities.However, engaging students with pre‐class videos presents a challenge. What this paper adds: This paper furnishes direct empirical evidence supporting the effectiveness of instructional videos in flipped learning.It uncovers factors affecting student engagement with videos in flipped learning.It offers insights into the design and implementation of videos in flipped learning. Implications for practice: Considering facilitating conditions and affective factors when creating videos.Acknowledging learner characteristics when designing videos.Utilizing instructional strategies when implementing videos. [ABSTRACT FROM AUTHOR]

Background: Social annotation has emerged as a promising educational technology that fosters collaborative reading and discussion of digital resources among learners. While the positive impact of social annotation on students' learning process and performance is widely acknowledged, students' behavioural patterns in social annotation are underexplored. Objectives: This study investigated patterns in students' use of annotation and response behaviours in social annotation activities. We also explored how students' performance in the behavioural, cognitive, emotional, and social dimensions varied based on their behavioural patterns. Methods: We recruited 93 undergraduates who were enrolled in an elective course at a large North American University. Students were tasked with collaboratively annotating the class readings uploaded to Perusall, a social annotation platform, over 7 weeks. We used metaclustering to determine the optimal number of clusters pertaining to student behaviours. We compared the differences among clusters across multiple performance dimensions. Results and Conclusions: Two distinct clusters were identified and defined as initiators and responders. We found that responders had significantly longer active reading time and exhibited greater social annotation effort compared to initiators. However, initiators received more peer acknowledgement, as evidenced by higher upvotes. No significant difference was found in cognitive insight between initiators and responders, but responders demonstrated significantly higher cognitive discrepancy. Additionally, there were no significant differences in positive and negative tones between initiators and responders; however, responders displayed higher levels of prosocial behaviours than initiators. This study has significant practical implications regarding promoting students' collaborative learning experience in social annotation. Lay Description: What is already known about this topic: Annotation and response behaviours are two primary actions in social annotation.Understanding how students navigate through annotations and respond to their peers' contributions is essential for optimizing their learning experience.Social annotation outcomes can be assessed in the behavioural, cognitive, emotional, and social dimensions. What this paper adds: This paper revealed students' behavioural patterns in social annotation activities.This study offered a comprehensive understanding of the various dimensions of performance among students with different behavioural tendencies. Implications for practice and/or policy: The two student clusters, initiators and responders, revealed distinct engagement patterns in social annotation and informed the design of targeted scaffoldings.Responders were not passive learners since they demonstrated significantly longer active reading time, greater social annotation effort, and higher level of prosocial behaviours.Educators might not need to place significant emphasis on monitoring participants' emotional expressions in social annotation.Social annotation platforms should incorporate features that encourage and reward both initiation and response behaviours. [ABSTRACT FROM AUTHOR]

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

Background: 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]

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 Studies: Captioning and repetition are widely used multimedia instructional devices for non‐native students. Generally, studies in this area have tended to focus on second language literacy skills rather than on learning new content knowledge. Additionally, posttests were administered immediately after the treatments, while the delayed influences of captioning and repetition have never been investigated. Objectives: This paper addressed these research gaps in two separate studies. More specifically, this study attempted to examine the influences of captioning and repetition on non‐native students' immediate and relayed retention. Methods: In Study One, three captioning conditions; word‐by‐word captions, closed captions, and no‐captions; were compared to examine their efficacies in immediate and delayed content knowledge retention on 82 Chinese university students. To address the limitations in Study One as the multimedia lesson was short and played only once, Study Two incorporated captioning and two repetition types in its design. One hundred and eleven Chinese university students watch a video lesson in one of four captioning and repetition conditions. Results: The statistical analyses of Study One indicated that there were no significant differences in both immediate and delayed retention test scores across the three captioning condition. Similarly, in Study Two, there were no significant differences in retention tests scores across the four captioning and repetition conditions. Findings: Neither the availability of captions nor the repetition types had any impact on the Chinese students' immediate or delayed content knowledge retention, which lent support to existing studies. Based on the research results, the limitations and future study possibilities are discussed. Lay Description: What Is Already Known About This TopicEmpirical studies on captioning have focused on immediate learning right after the treatment, so have studies on repetition.Empirical studies on multimedia lessons for non‐native students have focused on English language learning. What This Paper AddsThree types of captioning were compared to examine their efficacies in both immediate and delayed content retention of Chinese students.Two types of repetition were compared to examine their efficacies in both immediate and delayed content retention of Chinese students. Implications for Practice and/or Policy:Neither the availability of captions nor the repetition types had any impact on the Chinese students' immediate or delayed content knowledge retention.The availability of textual keywords adjacent to their corresponding graphics might have compromised the efficacy of captioning. [ABSTRACT FROM AUTHOR]

Background: Teachers often rely on the use of open‐ended questions to assess students' conceptual understanding of assigned content. Particularly in the context of mathematics; teachers use these types of questions to gain insight into the processes and strategies adopted by students in solving mathematical problems beyond what is possible through more close‐ended problem types. While these types of problems are valuable to teachers, the variation in student responses to these questions makes it difficult, and time‐consuming, to evaluate and provide directed feedback. It is a well‐studied concept that feedback, both in terms of a numeric score but more importantly in the form of teacher‐authored comments, can help guide students as to how to improve, leading to increased learning. It is for this reason that teachers need better support not only for assessing students' work but also in providing meaningful and directed feedback to students. Objectives: In this paper, we seek to develop, evaluate, and examine machine learning models that support automated open response assessment and feedback. Methods: We build upon the prior research in the automatic assessment of student responses to open‐ended problems and introduce a novel approach that leverages student log data combined with machine learning and natural language processing methods. Utilizing sentence‐level semantic representations of student responses to open‐ended questions, we propose a collaborative filtering‐based approach to both predict student scores as well as recommend appropriate feedback messages for teachers to send to their students. Results and Conclusion: We find that our method outperforms previously published benchmarks across three different metrics for the task of predicting student performance. Through an error analysis, we identify several areas where future works may be able to improve upon our approach. Lay Description: What is already known about this topic: Open‐ended questions are used by teachers in the domain of mathematics to assess their students understanding but automated support for these types of questions are limited in online learning platforms. Recent advancements in areas of machine learning and natural language processing have led to promising results in a range of domains and applications. What this paper adds: Emulating how teachers identify similar student answers can be used to build tools that support teachers in assessing and providing feedback to student open‐ended work. Implications for practice: Developing better automated supports can increase the amount of direct feedback students receive to guide their learning. [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 Study: The research discusses the need for a paradigm shift in engineering education current practices to accommodate the digital native students. The paper emphasizes the importance of integrating disruptive technologies, namely Virtual Reality (VR) through Head Mounted Displays VR (HMD VR) and Desktop Based VR (DB VR) and comparing it with the traditional teaching methods. The research focuses on second‐year undergraduate students enrolled in a concrete structures course. Objectives: The objective of the study is to analyse the impact of DB VR and HMD VR on students' motivation, performance and workload in comparison with traditional 2D drawings. The study also aims to investigate how simulation sickness and system usability could impact students' motivation and performance when interpreting concrete structures. Methods: The study divided second‐year civil engineering students into three groups, 2D, DB VR and HMD VR. The performance and motivation levels of students were assessed based on the number of mistakes identified and an intrinsic motivation survey. Furthermore, data on system usability and simulation sickness were collected. Spearman rank correlation was conducted to analyse the relationships between the variables tested. Results: The results have shown that students' motivation and performance were much higher when using VR in general and HMD VR specifically, students' efficiency and accuracy were also observed. On the other hand, usability was found to be moderately correlated with motivation, with students rating HMD VR as the most usable approach. A moderate inverse correlation was observed between simulation sickness and motivation, indicating that higher simulation sickness led to lower motivation levels. Conclusion: The study concludes that integrating VR in general, DB VR, or HMD VR into a concrete structures course for undergraduate students can significantly improve students' performance and motivation. Furthermore, enhancing usability of any of the methods used can also improve the performance and motivation. On the other hand, simulation sickness inversely affects motivation and performance, therefore, VR developers and educators should not neglect it. Lay Description: What is already known about the topic: Traditional teaching methods in engineering education require improvement.Integrating digital technologies into engineering education enhances performance.Digital technologies can potentially enhance motivation. What this paper adds: Compares traditional teaching methods for concrete structures interpretation with virtual reality.Establishes correlations between motivation, performance and usabilityIntroduces how desktop‐based VR and head‐mounted display VR can produce varying results. Implications for practice and/or policy: Decision‐makers can use the information to integrate updated pedagogy into engineering curricula.Allows for further exploration of different digital technologies that can be used for concrete structure interpretation.Allows instructors to introduce virtual reality in their courses. [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: Inquiry‐based learning is a salient instructional approach to cultivate students' higher order thinking skills (HOTS). With the presence and advancement of new technologies, their usage for inquiry learning in university context is increasingly ubiquitous. However, in most circumstances, college students cannot integrate technologies to their inquiry learning in efficient ways or their abilities to use technologies are not good enough. Previous studies found that intrinsic motivation (IM), peer interaction (PI) and classroom connectedness (CC) were key factors to influence students' approaches to using technologies from the personal, behavioural and environmental perspectives. Objectives: This study investigated the influence of these three essential learning factors (IM, PI and CC) on students' HOTS and the mediate influence of deep approach to using technologies (DAUT) between these learning factors and HOTS in the technology‐enhanced open inquiry‐based learning context. Methods: A questionnaire was administered to 80 university students who had studied with the technology‐enhanced open inquiry‐based learning approach. The partial least squares method was employed to investigate the relationships among learning factors, DAUT and HOTS. Results and Conclusions: Results showed that CC and PI were positively directly related to HOTS. DAUT was a significant mediator between two (i.e., IM and PI) of the three learning factors and HOTS. The findings of the study have practical implications for instructors, indicating that they should pay attention to students' IM and PI in deepening their approach to using technologies as well as to improve students' HOTS in technology‐enhanced open inquiry‐based learning. Lay Description: What Is Already Known About This Topic: Inquiry‐based learning is considered to be a salient instructional approach to cultivate students' higher order thinking skills (HOTS).Technologies usage in inquiry learning is ubiquitous in university context.In most cases, college students are not able to integrate technologies in their inquiry learning in effective ways. What This Paper Adds: This paper proposed a research model that explains and predicts the mediating influence of deep approach to using technologies on the association between learning factors and HOTS in the technology‐enhanced open inquiry‐based learning context.The mediating effect of approaches to using technologies between learning factors and HOTS was identified.Two of the three learning factors (peer interaction and classroom connectedness) had direct effect on HOTS.Deep approaches to using technologies variable significantly mediates two of the three learning factors (peer interaction and intrinsic motivation) and HOTS. Implications for Practice or Policy: Instructors should pay attention to students' intrinsic motivation (IM) and peer interaction in order to deepen their approach to using technologies.Instructors should pay particular attention to peer interaction and classroom connectedness when conducting technology‐enhanced open inquiry‐based learning activities to improve college students' HOTS.Students' interest improvement and IM in using technologies, the integration of technologies and open inquiry‐based learning activities could be discussed and decided by both the instructor and students. [ABSTRACT FROM AUTHOR]

Background: The substantial growth in gamification research has connected gamified learning to enhanced engagement, improved performance, and greater motivation. Similar to gamification, personalized learning analytics dashboards can enhance student engagement. Objectives: This study explores the student experiences and academic achievements using a gamified dashboard in a large, introductory STEM course. Methods: We examined two groups of students enrolled in different sections of a one‐semester‐long physical geology course with a total enrollment of 223 students. The only difference between the groups was that one had access to the dashboard. The data collection included students' assignments, overall performances, and exam scores. Students in both sections completed a Science Literacy Concept Inventory survey at the beginning and end of the term. Additionally, students completed an end‐of‐term survey containing open‐ended questions on their experience and interactions with specific elements. Results: Students shared mostly positive comments about their experience with the dashboard, and the final grade of students with access to the dashboard was 13% higher, on average, compared to their peers in the non‐dashboard section. Conclusion: With low costs and little time invested, gamified dashboards could have a significant impact on student performance in large STEM lecture courses. Lay Description: What is already known about this topic: Leaner dashboards that provide personalized feedback are linked to improved student performance in undergraduate STEM courses. However, students may be reticent to adopt dashboards, especially students in the middle range of the performance distribution, for whom the impact of the dashboard may be most significant.Prior research on gamification in STEM courses suggests that adding gameful elements like progress trackers, badges, and rewards can increase students' engagement in undergraduate coursework.The combination of personalized learning in dashboards and the motivational experience of gamification should boost student engagement, dashboard adoption, and ultimately foster academic achievement. What this paper adds: In this paper, we examine the differences in academic performance between students with and without access to a gamified learning dashboard in an undergraduate Geology course.We observe that students with access to the dashboard (the treatment group), outperform students without access (the control group). The greatest benefit is observed for students who use the dashboard more frequently.Students reported that the progress tracker, the badges, and the rewards all incentivized their use and provided useful feedback about their performance. Students who did not adopt the dashboard expressed a need for more detail about the tool and its purpose. Implications for practice and/or policy: Instructors and instructional designers for large enrollment undergraduate STEM courses should consider the affordances of gamified learner dashboards for increasing engagement and for providing synchronous feedback about learners' strategies in the course.Aligning the dashboard to the content of the curriculum—by ensuring that badges reflect key concepts‐ encouraged participation and helped students identify the utility of the tool. Dashboards should be personalized to individuals and to the course.Adding gameful elements in a low‐cost intervention for increasing adoption and engagement of dashboards in large enrollment introductory courses. [ABSTRACT FROM AUTHOR]

Background: With increased use of artificial intelligence in the classroom, there is now a need to better understand the complementarity of intelligent learning technology and teachers to produce effective instruction. Objective: The paper reviews the current research on intelligent learning technology designed to make models of student learning and instruction transparent to teachers, an area we call model‐based learning analytics. We intended to gain an insight into the coupling between the knowledge models that underpin the intelligent system and the knowledge used by teachers in their classroom decision making. Methods: Using a systematic literature review methodology, we first identified 42 papers, mainly from the domain of intelligent tutoring systems and learning analytics dashboards that conformed to our selection criteria. We then qualitatively analysed the context in which the systems were applied, models they used and benefits reported for teachers and learners. Results and Conclusions: A majority of papers used either domain or learner models, suggesting that instructional decisions are mostly left to teachers. Compared to previous reviews, our set of papers appeared to have a stronger focus on providing teachers with theory‐driven insights and instructional decisions. This suggests that model‐based learning analytics can address some of the shortcomings of the field, like meaningfulness and actionability of learning analytics tools. However, impact in the classroom still needs further research, as in half of the cases the reported benefits were not backed with evidence. Future research should focus on the dynamic interaction between teachers and technology and how learning analytics has an impact on learning and decision making by teachers and students. We offer a taxonomy of knowledge models that can serve as a starting point for designing such interaction. Lay Description: What is currently known: Current learning analytics solutions are often not perceived helpful by teachers What this paper adds: Model‐based learning analytics seeks to make these systems more transparent and actionableOur review shows there is good potential that systems designed in this way would have greater impact on classroom teaching Implications for practitioners: Pedagogical‐psychological models should be an integral part of intelligent learning systems designsWe offer a taxonomy of such models and current good practices of their use as a starting point [ABSTRACT FROM AUTHOR]

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

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

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

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

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

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

Background: Online collaboration tools have been identified as potentially effective means for enhancing student learning, motivation, and engagement in science education. However, their effectiveness in improving science education outcomes among middle school students remains uncertain. Objectives: The study aimed to investigate the impact of online collaboration tools on science education outcomes among middle school students, focusing on learning achievement, engagement, and motivation. Methods: A quasi‐experimental design with a pretest‐posttest control group was used in this study. A total of 60 eighth‐grade middle school students were involved in the study, with both the experimental and control groups comprising 30 students each. The experimental group incorporated the use of digital collaboration platforms, including Asana, Slack, and Team Viewer, as instrumental components of group project execution and discussion in their science lessons. Conversely, the control group adhered to the current educational approach in Turkey, characterized by the employment of an inquiry‐based learning strategy in their science instruction. Data was collected over eight weeks using a science achievement test, engagement scale, and science motivation scale. Results: The experimental group demonstrated significantly higher post‐test scores compared to the control group, suggesting that online collaboration tools positively impacted science education outcomes. Additionally, survey data indicated high levels of engagement and motivation among the experimental group students when using the online collaboration tools. Conclusions: The findings support the notion that online collaboration tools can effectively enhance learning, motivation, and engagement in science education among middle school students. These results have significant implications for educators, educational institutions, policymakers, and curriculum developers. Further research is needed to examine the potential of these tools in various educational contexts and with different student populations. This will help broaden the understanding of how online collaboration tools can be integrated into diverse learning environments, potentially benefiting a larger number of students and further improving science education outcomes. Lay Description: What is already known about this topic: Technology's role, particularly online collaboration tools, in enriching science education is undebatable (Donkin & Rasmussen, 2021; Rahmawati et al., 2022). Such tools have been theorized to bolster student learning outcomes, motivation, and engagement (Donnelly et al., 2013; Ekici, 2017; Khazanchi & Khazanchi, 2019). Yet, the empirical evidence validating their efficacy in science educational settings remains sparse. What this paper adds: This research delves into the influence of online collaboration tools on science learning outcomes among middle school learners. Data indicates that employing these digital tools substantially elevates student performance, as gauged by a science achievement test. Furthermore, students navigating through these online collaborative platforms recorded elevated levels of both engagement and motivation. The primary effectiveness of online collaboration tools stems from their ability to foster specific behaviours, such as increased communication frequency and structured task management, which can amplify learning and group collaboration through their facilitated structured interactions. Implications for practice and/or policy: This study's conclusions offer pivotal insights for educators, academic institutions, policy framers, and curriculum architects. Online collaborative platforms exhibit promise in amplifying student outcomes and engagement within the realm of science education. It is imperative to broaden this research scope to discern the tools' potential across varied educational environments and diverse student demographics. There is a compelling case for stakeholders, especially educators and policymakers, to contemplate incorporating these online tools into science pedagogy, aiming to magnify student learning experiences and engagement levels. [ABSTRACT FROM AUTHOR]

Background: Vocabulary learning in a second language (L2) encompasses crucial aspects, including single words and collocations. Research indicates that L2 learners can incidentally learn single words from captioned videos, but less is known about the incidental learning outcomes of collocations, let alone the differences in learning gains for single words and collocations under different captioned conditions, as well as individual differences that may account for such differences. Objectives: This study aimed to fill this gap by comparing the learning gains of single words and collocations while investigating the influence of vocabulary knowledge (VK) and working memory (WM) on the learning results within diverse forms of captioning conditions: full captions, keyword captions, and no captions. Methods: The study involved 129 young Chinese ESL learners who completed vocabulary tests assessing their meaning recall before, immediately after, and 2 weeks after the study, as well as tests for VK and WM. Results and Conclusions: The results showed that full captions are the most efficacious condition for enhancing both single word and collocation learning. The depth of VK, as well as phonological and complex WM, were significant factors in the learning of new language items. Takeaways: Different types of captioning (full or keyword) contribute differently to the learning of various language items. Individual differences in WM and depth of VK among learners should be considered when utilizing captioned videos for language learning. Lay Description: What is already known about this topic: The type of captions employed does influence incidental single word learning.Incidental collocation learning from captioned videos is worth to be investigated due to the essential role of collocation knowledge in L2 development and the limited classroom time.The breadth of prior vocabulary knowledge (VK) does impact the incidental learning of single words across different captioned conditions. However, the findings remain inconclusive.Working memory (WM) plays a vital role in single word learning. However, limited emphasis has been placed on the examination of how WM affects the incidental learning of collocations across various captioning conditions. What this paper adds: Different captioned conditions play different roles in the incidental learning of different language units: single word learning benefits most from full captioning, whereas both full and keyword captioning lead to significant improvements in incidental collocation learning.The depth of VK is a key determinant of both single word and collocation learning from captioned videos, but its impact is greater for collocations.The breadth of VK is more relevant to collocation learning than single word learning.Both phonological and complex WM play an important role in learning both single words and collocations, but their contribution is greater for collocations. Implications for practice and/or policy: L2 policymakers can incorporate short storytelling videos into the EFL curriculum to facilitate vocabulary learning among young learners and ultimately enhance their L2 proficiency.Teachers can strategically design and implement various types of captioned videos (full or keyword) as out‐of‐class extensive viewing activities, targeting different language components such as single words and collocations.Teachers should be mindful of individual differences (e.g., VK and WM) among learners when utilizing captioned videos for language learning, particularly when it comes to incidental collocation learning.Parents are encouraged to include short storytelling videos with captions as part of their children's home entertainment activities. [ABSTRACT FROM AUTHOR]

Background: It is vital to understand students' Self‐Regulatory Learning (SRL) processes, especially in Blended Learning (BL), when students need to be more autonomous in their learning process. In studying SRL, most researchers have followed a variable‐oriented approach. Moreover, little has been known about the unfolding process of students' SRL profiles. Objectives: We present the insights derived from a study that measured motivation and the learning strategies used by 198 students of a university entry‐level, business school, BL course to develop an understanding of students' SRL processes. Methods: The Strategies for Learning Questionnaire (MSLQ) was used to survey 198 students three times during a semester to investigate SRL profiles and how they unfolded as the course progressed using a person‐oriented approach. Through a clustering approach, we focus on MSLQ's motivation aspects as its importance has been emphasised by different SRL theories, and extant research into motivation in learning analytics (LA) is still lacking. Results and Conclusions: Through the longitudinal clustering approach, we identified minimally, average, and highly SRL profiles. We acknowledged that students might change their SRL profiles as the course progressed as a result of feedback they received. What are the 1 or 2 Major Takeaways from the Study?: This study contributes to the SRL theory by examining students' SRL profiles adaptation longitudinally (addressing the challenge identified regarding the cyclical nature of SRL). This study contributes to LA by investigating motivational constructs currently lacking in the field and bringing forward theory based empirical evidence to inform theory and practice. Lay Description: What is currently known about the subject matter: Self‐regulated learning (SRL) is important for academic achievement, especially during online learning; more research is needed to understand students' SRL and its cyclical nature.Learning analytics (LA) is an advocate for gathering and analysing data for supporting students' learning. It lacks empirical evidence based on theoretical and students' motivational studies.Institutions will benefit from more research on evidence‐based practice in Blended Learning (BL). What this paper adds to that: Evidence for the understanding of students' SRL, identifying student subgroups (different SRL profiles), and observing the cyclical nature of SRL during BL courses.We enhanced LA through the use of empirical research into motivation and its mapping of students' SRL profiles.Contribute to knowledge within BL about the dynamics of students' motivation, strategy use, and SRL, and showing that successful students better self‐regulate their learning.Evidence to support the emerging role of LA in identifying at‐risk students during BL.Evidence shows the most important motivational and learning strategy constructs that are significantly correlated with the final score in BL. The implications of study findings for practitioners: Through LA, students, educators, and institutions can benefit when universities implement BL.Enabling educators to better understand their students' SRL and how students can adapt quite different SRL profiles over time. Through this information, they can help students adopt a better profile. They also can help students in their SRL process, for example, by applying appropriate interventions.Pedagogically helps lecturers when developing the instructional and interventional design. [ABSTRACT FROM AUTHOR]

Background Study: English education has been promoted in Taiwan for many years. Recently, content and language integrated learning (CLIL) has received attention as an effective way to integrate English into real‐life contexts. With advances in technology, digital storytelling is suitable for students to develop multiple skills such as narrating real‐life stories and recording them in English. Objectives: The present study developed a cooperative learning model in a CLIL context to enhance elementary school students' digital storytelling, English speaking proficiency performance, and financial knowledge. Methods: The participants were 43 sixth‐grade students from two classes: the experimental group (n = 26) and the control group (n = 17). To investigate whether the digital storytelling results produced by the experimental group under the cooperative learning approach differed from the digital storytelling results produced individually by the control group, an experimental design was implemented throughout the 9‐week course. All the participants took financial knowledge and English‐speaking proficiency pre‐tests and then received financial knowledge classes and digital storytelling instruction to help them effectively design digital storytelling videos, which incorporated the concepts of financial knowledge and English‐speaking skills. Results and Conclusions: The results showed that the experimental group outperformed the control group in the overall digital storytelling performance, English speaking proficiency, and financial knowledge. Lay Description: What is already known about this topic: CLIL is a teaching method in which language is a tool for learning both the content of a subject and the language itself.Digital storytelling enables users to develop multiple skills, such as organization and interpersonal skills.Cooperative Learning assists the integration of technology. What this paper adds: An instructional design that uses digital storytelling to teach finance and English with CLIL.An experimental study among EFL elementary school students for acquiring financial knowledge and English speaking skills. Implications for practice and/or policy: The course in this study may help EFL teachers by providing them with a basic financial knowledge curriculum in English for elementary school students.Cooperative learning through digital storytelling design for elementary school students may accelerate their organization and communication skills. [ABSTRACT FROM AUTHOR]

Background: As adequate support, virtual reality (VR) has been increasingly introduced into the classroom to help students learn a new language. However, empirical studies exploring the educational potential of using 360° spherical video‐based virtual reality (SVVR) in high‐school Chinese language classrooms are still lacking. Objectives: A mind mapping‐based SVVR learning system is proposed for international high‐school students' Chinese courses and examines its effects on improving Chinese learning achievements and perceptions among Grade 10 students who learn Chinese as a foreign language. Methods: This study adopted a quasi‐experiment design. Participants (N = 66) were assigned to one of three conditions: mind mapping‐based SVVR (MMBSVVR), conventional SVVR (CSVVR), or traditional lecturing (TL). Our mixed‐method approach employed pre‐and post‐tests to measure Chinese learning achievements, questionnaires to measure Chinese learning motivation, problem‐solving ability, and self‐efficacy, and semi‐structured interviews to further explore students' feelings and attitudes about Chinese courses in corresponding learning environments. Results and Conclusions: The results showed that the MMBSVVR classroom significantly improved high students' Chinese learning achievements in Chinese vocabulary and making sentence, problem‐solving ability, and self‐efficacy. Moreover, SVVR stimulates students' learning interest and class participation, and mind mapping provides students with a clear guide to arrange the knowledge. These findings help interpret the relationships between MMBSVVR and learning achievements, Chinese learning motivation, problem‐solving ability, and self‐efficacy in an international high school Chinese courses, thus providing insight on integrating MMBSVVR into existing classrooms. Lay Description: What is Already Known about this Topic: By creating fully immersive 3D environments, 360° spherical video‐based virtual reality (SVVR) in promoting language learning has been confirmed by many scholars with a focus on English language learning.Mind mapping effectively enables second language learners to review and retain new words in the target language meaningfully. Also, it can create a more vivid learning atmosphere through images and graphics and promote learners' memory and learning motivation. What This Paper Adds: A mind mapping‐based SVVR learning system has been developed with the support of the constructivism theory.A mind mapping‐based SVVR learning system is proposed to facilitate international students' Chinese learning performance in Chinese vocabulary acquisition and sentence construction.In addition to promoting international students' learning outcomes, the proposed approach indicated promising results in learning motivation, problem‐solving ability, and self‐efficacy. Implications for Practice and/or Policy: This study provides an evidence base for further research through the utilization of VR learning environments in Chinese language classrooms.This study advocates introducing SVVR technology in the Chinese learning classrooms to increase the learning context for international students. It is also worth encouraging scholars to design VR learning systems with different learning strategies.Due to the cognitive requirements of the Chinese language learning process, it is necessary to introduce mind maps in the SVVR learning system to assist students in constructing knowledge and combining prior and new knowledge to generate long‐term memory. [ABSTRACT FROM AUTHOR]

Background: Although research on mathematics learning programs has taken off in recent years, little is known about how different person characteristics are related to practice behaviour with such programs. When implementing a mathematics learning program in the classroom, it might be important to know whether students with specific characteristics need more encouragement to make use of this learning opportunity. Objectives: Using a supply‐use model, we analysed the predictive power of students' cognitive characteristics (prior mathematics knowledge), personality traits (conscientiousness), motivational‐affective characteristics (mathematics self‐concept and mathematics anxiety), and family background characteristics (socioeconomic status and migration background) for practising with an adaptive arithmetic learning program. Methods: We used longitudinal data from 203 fifth graders from seven non‐academic‐track schools in Germany. Practice behaviour, measured by completed tasks in the learning program, was recorded weekly for every student over a period of 22 weeks. Results and Conclusions: The results of our multilevel analyses showed that mathematics anxious students practised less with the program. We did not find any relationship with the other characteristics. Takeaways: Our results suggest that mathematics anxious students need more encouragement when practising with a mathematics learning program; otherwise, they do not get the chance to benefit from the use. Lay Description: What is already known about this topic: The use of mathematics learning programmes in mathematics education has recently intensified.It is important that students practice with such learning programmes regularly over a longer period of time in order for them to achieve learning success.Students differ in their mathematics learning behaviour. What this paper adds: Little is known about how person characteristics are related to practice behaviour with mathematics learning programmes.Students may differ in their use of a mathematics learning programme, which is why cognitive characteristics, personality traits, motivational‐affective characteristics, and family background characteristics may affect students' practice behaviour. Implications for practice: Mathematics anxious students practiced less with a mathematics learning program, and need more encouragement to benefit equally from the implementation in school.Teachers should keep in mind that after the initial enthusiasm, practice with a programme may decrease over time, especially after school holidays. [ABSTRACT FROM AUTHOR]

Background: Formative assessments are needed to enable monitoring how student knowledge develops throughout a unit. Constructed response items which require learners to formulate their own free‐text responses are well suited for testing their active knowledge. However, assessing such constructed responses in an automated fashion is a complex task and requires the application of natural language processing methodology. In this article, we implement and evaluate multiple machine learning models for coding energy knowledge in free‐text responses of German K‐12 students to items in formative science assessments which were conducted during synchronous online learning sessions. Dataset: The dataset we collected for this purpose consists of German constructed responses from 38 different items dealing with aspects of energy such as manifestation and transformation. The units and items were implemented with the help of project‐based pedagogy and evidence‐centered design, and the responses were coded for seven core ideas concerning the manifestation and transformation of energy. The data was collected from students in seventh, eighth and ninth grade. Methodology: We train various transformer‐ and feature‐based models and compare their ability to recognize the respective ideas in students' writing. Moreover, as domain knowledge and its development can be formally modeled through knowledge networks, we evaluate how well the detection of the ideas within responses translated into accurate co‐occurrence‐based knowledge networks. Finally, in terms of the descriptive accuracy of our models, we inspect what features played a role for which prediction outcome and if the models pick up on undesired shortcuts. In addition to this, we analyze how much the models match human coders in what evidence within responses they consider important for their coding decisions. Results: A model based on a modified GBERT‐large can achieve the overall most promising results, although descriptive accuracy varies much more than predictive accuracy for the different ideas assessed. For reasons of comparability, we also evaluate the same machine learning architecture using the SciEntsBank 3‐Way benchmark with an English RoBERTa‐large model, where it achieves state‐of‐the‐art results in two out of three evaluation categories. Lay Description: What is already known about this topic?: Formative assessments are needed to test and monitor the development of learners' knowledge throughout a unit to provide them with appropriate automated feedback.Constructed response items which require learners to formulate their own free‐text responses are well suited for testing their active knowledge.Assessing constructed responses in an automated fashion is a widely researched topic, but the problem is far from solved and most of the work focuses on predicting holistic scores or grades.To allow for a more fine‐grained and analytic assessment of learners' knowledge, systems which go beyond predicting simple grades are required.To guarantee that models are stable and make their predictions for the correct reasons, methods for explaining the models are required. What this papers adds?: A core topic in physics education is the concept of energy.We implement and evaluate multiple systems based on natural language processing technology for assessing learners' conceptual knowledge about energy physics using transformer language models as well as feature‐based approaches.The systems assess students' knowledge about various forms of energy, indicators for the same and the transformation of energy from form into another.As our systems are based on machine learning methodology, we introduce a novel German short answer dataset for training them to detect the respective knowledge elements within students' free‐text responses.We evaluate the performance of these systems using this dataset as well as the well‐established SciEntsBand‐3‐Way dataset and manage to achieve, to our best knowledge, new state‐of‐the‐art results for the latter.Moreover, we apply methodology for explaining model predictions to assess whether predictions are carried out for the correct reasons. Implications for practice and/or policy: It is indeed possible to assess constructed responses for the demonstrated knowledge about energy physics in an analytic fashion using natural language processing.Transformer language models can outperform more specialized feature‐based approaches for this task in terms of predictive and descriptive accuracy.Co‐occurrences of different concepts within the same responses can lead models to learn undesired shortcuts which make them unstable. [ABSTRACT FROM AUTHOR]

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

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

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

Background: Education is, after gaming, the second largest sector embracing augmented reality (AR) at an accelerated pace, yet studies on AR's potential as an efficient learning environment had mixed results. Objectives: This study's primary objective is to test students' interaction with graphical 3D elements in AR and its impact on information retention. The second objective is to compare information retention from AR engagement with information retention from exposure to identical 3D content delivered via instructional video. Finally, the third objective explores students' perceptions of AR as a learning environment. Methods: Sixty‐five college students participated in a two‐arm experiment followed by semi‐structured interviews. Results and Conclusion: AR can efficiently deliver a meaningful learning experience and promotes information retention. Nevertheless, AR's interactive features and novelty may distract learners while they engage with the virtual environment. Objective data obtained through eye tracking and video monitoring showed similar levels of engagement with a 3D model for both environments. While both AR and video groups showed significant knowledge gain from pre to post‐intervention, the video format was overall significantly more effective than AR in increasing topic‐related information retention. However, participants preferred the AR learning environment significantly more than the video. Takeaways: Although effective, AR is still a distracting instructional environment. Designing learning experiences tailored explicitly for AR environments requires additional research to ensure its successful deployment as a learning tool. Lay Description: What is already known about this topic: Education is the second‐fastest growing sector to adopt and experiment with augmented reality (AR).Hardware and software tools to create AR environments have reached the consumer level.The advantage of immersing learners in dedicated virtual environments seems obvious.Research has had mixed results in validating AR as a proper learning environment. What this paper adds: AR is a viable environment which supports information retention.For many students, the medium's novelty promotes engagement with the content.Students prefer AR to video lectures, but it may distract them from learning.Regarding information retention, video lectures do better than AR. The implications of study findings for practitioners: Learning experiences in AR should be reserved for some specific topics and designed purposedly.Progressive exposure of learners to AR environments may produce habituation and decrease distraction. [ABSTRACT FROM AUTHOR]

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

Background: YouTube is widely used for learning about scientific issues in and out of school. However, much of the scientific information on YouTube is inaccurate. Prior studies have mostly focused on how students evaluate textual online information sources and have not yet systematically examined how they evaluate authentic scientific YouTube videos. Objectives: The purpose of this study was to examine how students evaluate authentic scientific YouTube videos in comparison to scientific webpages. Methods: Eighth grade students ranked six YouTube videos on the topic of climate change, justified their rankings, and responded to metacognitive prompts designed to elicit their evaluation criteria and strategies. Students also responded to a parallel webpage evaluation measure. We analysed and compared students' evaluation strategies and criteria. We also examined which evaluation criteria predict students' judgments of YouTube video quality. Results and Conclusions: Students predominantly relied on evaluation of video content, focusing mainly on criteria of communicative quality and explanation quality. Students tended to neglect source expertise and information validity criteria. Students evaluated videos mostly similarly to how they evaluated webpages. However, affective experiences played a greater role in video evaluation; whereas task relevance and verbal quality played a smaller role. Students' evaluation criteria predicted their judgments of video quality. Implications: The findings suggest that students are unprepared for critically evaluating scientific YouTube videos and that digital information literacy instruction should address this gap. The study also identifies some unique challenges of video evaluation that educators should attend to. Lay Description: What is already known about this topic: Students often use YouTube for learning about scientific issues.However, much of the scientific information on YouTube is inaccurate.Prior studies have found that students can find it difficult to evaluate scientific websites.Little is known about how students evaluate scientific YouTube videos. What this paper adds: Students mostly focused whether the videos include good explanations and if they are well‐designed.Students tended to ignore the sources of the videos and the accuracy of the information.Students evaluated videos mostly similarly to how they evaluated webpages.However, emotional experiences played a greater role in video evaluation compared to webpage evaluation; whereas the content played a smaller role. Implications for practice and/or policy: The findings suggest that students are unprepared for critically evaluating scientific YouTube videos.Digital information literacy instruction should also focus on teaching video evaluation. [ABSTRACT FROM AUTHOR]

Background: Mobile‐assisted language learning (MALL) has long been advocated to promote students' language study outcomes. However, little is known about how using instant messaging applications (an example of MALL) affect student motivation, language anxiety, and actual achievement. Objectives: To help close this gap, we have conducted a quasi‐experimental study, in which we have used self‐determination theory to test a mediational process model, in an effort to understand the psychological mechanisms that underlie the effect of instant messaging applications on student outcomes. Methods: Two groups of Saudi undergraduate students (N = 447) were recruited to participate in the study. Participants under the experimental condition were invited to engage in language‐related tasks with their teacher outside of class through the WhatsApp application, whereas participants under the control condition received standard teaching. We applied partial least square structural equation modelling (PLS‐SEM) to test our model. Results and Conclusions: The results of the PLS‐SEM showed that the total effects of using instant messaging applications on autonomous motivation and L2 achievement were significant but that language anxiety was influenced only indirectly and negatively through language achievement. Also, the PLS‐SEM showed that our results have strong predcitive power indicating support for external validity. Implications: Our results show that instant messaging applications can be used to facilitate interest and achievement and to decrease anxiety. Furthermore, we are contributing to L2 methodological literature by using applications of PLS‐SEM in experimental designs that can help researchers and practitioners of motivational processes. Lay Description: What is already known about this topic: Using WhatsApp and more broadly instant messaging applications are conceived to be motivating in language teaching contextStudies indicate students are inclined toward using these applications in language learningResearch shows that using WhatsApp is easy to apply for language teaching purposes What this paper adds: The study examined the effect of using WhatsApp on language learners' motivation, achievement, and language anxietyA pre‐ and post‐test approach with experimental and control condition has been used to evaluate the effect more accuratelyThe study employs Self‐determination Theory as a theoretical framework for testing a motivational process modelResults show that using WhatsApp predicted the outcomes directly and indirectly Implications for practice and/or policy: WhatsApp can significantly encourage university students to better learning of the language skills especially in times where face‐to‐face communication is limitedWhatsApp is conditioned by the guidance of instructors, their ongoing formative and summative assessmentWhatsApp appears to allow students enjoy their learning process due to the opportunities for collaborative work and constant exchange of content [ABSTRACT FROM AUTHOR]

There is a large volume of published studies describing the positive role of Augmented Reality (AR) in educational settings. However, there is a paucity of empirical work that explores its role in supporting primary school pupil's motivation and creativity. Moreover, numerous studies have confirmed that pupils have difficulties in learning geometry and thinking geometrically. In this context, this paper explores the possibility of using AR software for low‐grade primary school pupils to enhance their creative thinking and increase their motivation during the informal geometry training course. A research‐based design process is adopted to replicate the primary school pupil's learning in this study, where pupils in the experimental group used mobile application to access AR virtual manipulatives, pupils in the control group used physical manipulatives. The applied AR technology allows pupils to handle 2D and 3D rounded corners and simple closed curves to find the most effective solutions for some learning challenges. Sixty‐two pupils from the first‐grade primary school in Egypt have participated in this study with the aim of investigating: (a) the primary school pupil's achievements and creative thinking in using AR techniques, and (b) the specific strategies that can increase their motivation and engagement. The most obvious finding to emerge from this study is that there was no statistically significant difference between the groups in geometry learning achievement, while statistically significant differences were found between the groups in the motivation and creative thinking skills in favour of the experimental group. Lay Description: What is already known about this topicAugmented Reality must have three characteristics: combining the real and virtual worlds, having real‐time interaction with the user and is being registered in a 3D environment.There is a growing body of literature that recognizes the importance of the 21st century skills in the new global economy.There has been significant interest in utilized AR in higher education. However, limited research has been conducted about integrating AR techniques to enhance young children's creative thinking skills and motivation in informal learning scenarios.To date, there are few studies that have investigated the association between augmented environment and learning theories. What this paper addsIntroduced an iterative methodology based on the cognitive theory of multimedia learning integrating the Universal Design for Learning (UDL) as the inclusive learning approach for creating Smart‐flashcard as a mobile AR applications for elementary school.Research studies on informal learning are particularly limited, so this study can fill a gap in the literature.This paper provides a conceptual approach for AR design, based on multimedia learning theory.AR Smart‐flashcard application represents a shift away from traditional textbooks, flashcards and other learning material where children are limited to viewing learning content passively towards a more dynamic and augmented one. Implications for practice and/or policyUsing AR applications, children interact with the 3D models, enhance creativity and collaboration in teams.The informal education can play a crucial role in developing some of the skills required for the 21st century.The study also highlights the need for new approaches combing the technical learning tools and pedagogical foundation. [ABSTRACT FROM AUTHOR]

Introduction: This study investigates the effectiveness of the segmentation principle from the cognitive theory of multimedia learning as well as the effectiveness of the generative learning strategy of summarization in immersive virtual reality (IVR) within a sample of preadolescents. Although previous research has supported the effectiveness of these instructional methods in multimedia learning, it remains unclear whether segmentation, summarization or the combination of both are superior to a stand‐alone IVR lesson in facilitating learning. Methods: To address this gap, 190 sixth to seventh grade students learned about the human body in an IVR lesson. Students were randomly assigned to one of four experimental conditions: (a) an IVR lesson divided into four segments (segmentation condition); (b) an IVR lesson, where students summarized after the entire lesson (summarizing condition); (c) an IVR lesson presented in four segments, where students summarized after each segment (combined condition); and (d) an IVR lesson without any manipulation (control condition). Results: Results indicated that, compared to the control condition, adding segmentation or summarization to an IVR lesson leads to better transfer, but not to acquiring more factual knowledge. Combining the two methods did not improve learning. Conclusion: The findings support the evidence that choosing appropriate instructional methods for IVR lessons can foster transfer. Lay Description: What is currently known about the subject matter: The use of immersive virtual reality (IVR) in classroom settings is increasing rapidlyThere are mixed results related to the efficiency of using IVR for learning facts and conceptsFew studies have investigated if efficient instructional design guidelines generalize to IVRFew studies have investigated the efficiency of IVR within a children sample What their paper adds: A class‐room investigation of the value of using different instructional design methods for designing IVR lessons within a children sampleResults indicated that, compared to the control condition, adding segmentation or summarization to an IVR lesson leads to better transferAdding segmentation or summarization did not lead to more factual knowledge Implications of study findings for practitioners: Choosing appropriate instructional methods for IVR lessons can foster transferStudents profit most from IVR lessons when they are given opportunities for refection during or following the immersive experience [ABSTRACT FROM AUTHOR]

Background: Online learning and teaching were globally popularized due to the impact of Covid‐19. The pandemic has made both synchronous and asynchronous online learning inevitable in regions privileged with the technological affordance. Aims: This study was designed to examine and compare the effectiveness of both learning modes through the Community of Inquiry framework. Materials & Methods: Comparative analyses on a sample of N = 170 undergraduate students who took both synchronous and asynchronous online courses in Spring 2021. Results: The paired‐sample T‐tests results indicated a significant difference in social presence, cognitive presence and self‐evaluated performance. Discussion & Conclusion: Teaching presence significantly influenced social presence and cognitive presence in both learning modes. However, under synchronous learning mode, social presence significantly impacted self‐evaluation, grades and school identification. While social presence only influenced school identification under asynchronous learning mode. Theoretical and practical implications were also included. Lay Description: This paper is particularly informative as a comparative study, because we sampled students who had both synchronous online courses and asynchronous online courses in the Spring 2021 semester. And we only compared students' experiences within themselves using paired‐sample T‐tests, meaning that we compared the learning experience of the same person under two learning modes, rather than compare two samples.Although synchronous learning and asynchronous learning are both online learning methods, students had significant different experience in social presence and cognitive presence in the two learning modes, and had significantly higher self‐evaluated performance in synchronous learning mode. They learned in a more socially engaged and cognitively engaged way in synchronous online courses.Through structural equation modelling tests, we found that social presence was the most important factor in synchronous online courses. It impacts students' self‐evaluation, grades, and identification to their attended schools. However, in asynchronous learning mode, teaching presence was the most important factor.What is particularly interesting is that social presence leads to lower self‐evaluated performance, but higher grades in synchronous learning environment. Students might dislike the fact that they had to talk and discuss in online courses just like in face‐to‐face courses and they'd rather sit back and do the assignment without synchronous instructions. But, they do better without social interactions in synchronous class meetings. [ABSTRACT FROM AUTHOR]

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

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

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

Background: Leaderboards are a highly popular gamification component used in student learning to enhance motivation, attentional engagement, and learning performance. However, few studies have examined the effects of individual leaderboard elements on English vocabulary learning through video lectures. Objectives: The present study aimed to examine how different leaderboard elements (i.e., points and rank) may affect students' English vocabulary learning through video lectures. Methods: A total of 34 students were assigned to groups using different leaderboard elements in a counterbalanced order. Participants' motivation, eye movements, and learning performance were measured and analysed. Results and Conclusions: Students' leaderboard rank was shown to increase their motivation regardless of whether other elements were present. Eye movement tracking revealed that the presence of the leaderboard increased students' saccades between the questions and the options, and lengthened their dwell time on the learning materials while reducing their dwell time on the non‐learning‐related screen areas. Presenting students' rank alone also improved their learning performance. Implications: Our findings strongly support the use of video lectures for English vocabulary learning, with the following recommendations: (1) Instructors should present students' rank on the leaderboard to enhance students' motivation and engagement; (2) Instructors should present only the students' rank on the leaderboard to also enhance students' learning performance. Lay Description: What is already known about this topic: While learning English vocabulary from video lectures, students might experience low levels of motivation and engagement, and pay less attention to the lectures.Leaderboards are a highly popular gamification component used in student learning to enhance motivation, attentional engagement, and learning performance.It remains unclear which leaderboard elements (i.e., points or rank) contribute most significantly to the effectiveness of the leaderboards. What this paper adds: Leaderboard elements have different effects on English vocabulary learning.The rank on the leaderboard benefited students' motivation and engagement.The rank also enhances students' confidence and learning performance. Implications for practice and/or policy: Instructors should present students' rank on the leaderboard to enhance students' motivation and engagement.Instructors should present only the students' rank on the leaderboard to also enhance students' learning performance. [ABSTRACT FROM AUTHOR]

Background: Students' tendencies to seek feedback are associated with improved learning. Yet, how soon this association becomes robust enough to make predictions about learning is not fully understood. Such knowledge has strong implications for early identification of students at‐risk for underachievement via digital learning platforms. Objectives: We sought to understand how early in the academic year students' end‐of‐year learning outcomes could be predicted by their performance and feedback‐seeking behaviours within a digital learning platform. We analysed data collected at different time points in the academic year and across different cohorts of students within the context of high school advanced placement (AP) Statistics courses. Methods: High school students enrolled in AP Statistics spanning three academic years between 2017 and 2020 (N = 726; Mage = 16.72 years) completed 3 or 4 homework assignments, each 2 and 3 months apart. Results and conclusions: Across the three cohorts, and even as early as the first assignment, a model consisting of demographic variables (gender, race/ethnicity, parental education), assignment performance, and interaction with the digital score report explained significant variation in students' final course grades (R2 = 0.314–0.412) and AP exam scores (κ = 0.583–0.689). Students' assignment performance was positively associated with end‐of‐year learning outcomes. Students who more frequently checked their digital score reports tended to receive better learning outcomes, though not consistently across cohorts. Implications: These findings further an understanding of how students' early performance and feedback‐seeking behaviours within a digital learning platform predict end‐of‐year learning outcomes. Lay Description: What is already known about this topic: Students' early academic performance predicts end‐of‐year success.Students' self‐regulated learning behaviours are another predictor of academic success.Clickstream data have been used as an indicator of the application of self‐regulated learning strategies, particularly behaviours associated with seeking feedback.Indicators of feedback‐seeking behaviours reflected via clickstream data have been shown to predict student learning.Yet, how soon associations between early performance and such indicators of self‐regulated learning as feedback‐seeking are robust across different groups of learners, different learning circumstances, and different types of learning outcomes has yet to be more fully understood. What this paper adds: We investigated whether performance and feedback‐seeking behaviours predict end‐of‐year learning outcomes at different points during the academic year across multiple cohorts of learners (2017–2018, 2018–2019, and 2019–2020) and using two different learning outcomes (class grades, AP exam scores).One cohort was affected by COVID‐19 during the 2019–2020 academic year, allowing us to examine whether differences emerge amidst unprecedented circumstances.We used assignment scores and online feedback‐seeking to predict end‐of‐year learning outcomes.Assignment scores were positively associated with end‐of‐year grades.First assignment performance predicted AP exam scores.Use of feedback (an indication of self‐regulated learning behaviours) tended to predict learning outcomes, though not consistently across cohorts. Implications for practice and/or policy: The findings from this study could improve understanding of how digital learning platform measurements predict end‐of‐year learning outcomes though also highlight the importance of context differences.Such findings hold implications for early identification of at‐risk students and appreciation for differences between learners and contexts.These findings also contribute to a growing understanding of the impact of the COVID‐19 pandemic on student engagement and learning. [ABSTRACT FROM AUTHOR]

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

Background: Online learning has become more prevalent over the past three decades, especially during the COVID‐19 pandemic. Educators and scholars have increasingly emphasized the significance of self‐directed learning (SDL) on successful learning outcomes in online learning environments. Objectives: The purpose of this study was to synthesize the research on the effects of SDL on learning achievement in online learning environments. Methods: This study synthesized the research findings on the effects of SDL on learning achievement in online learning environments using a meta‐analysis method. We analysed 152 samples from 43 studies that have reported the effects of SDL on learning achievement or correlations in online learning. Results and Conclusions: The overall effect size of SDL on learning achievement in online learning showed a medium effect size (g = 0.508). The dimensions of SDL moderated the effects of SDL on learning achievement, and the effects of self‐management were statistically smaller than motivation and self‐monitoring. The types of learning achievement, learning domains, and participant levels did not moderate the effects of SDL on learning achievement. However, the effects of SDL on learning achievement in the cognitive domain were significantly smaller than the effects of SDL in the affective domain. What Are the 1 or 2 Major Takeaways from the Study?: This study confirmed the importance of SDL in online learning environments. SDL can be effective for any learner group, not just for adult learners, in online learning environments. Online instructors should facilitate students' self‐management to obtain successful learning achievement. Lay Description: What is already known about this topic: Self‐directed learning (SDL) has been widely researched in education.Online learners are expected to be self‐directed learners to obtain successful learning achievement.SDL and self‐regulated learning (SRL) are interrelated. What this paper adds: The effects of SDL on learning achievement in online learning environments showed a medium effect size.The effects of self‐management on learning achievement were smaller than motivation and self‐monitoring.The effects of SDL on the cognitive learning domain were smaller than the affective domain.The participants did not moderate the effects of SDL on learning achievement. Implications for practice and/or policy: Online instructors should help develop learners' SDL skills.Online instructors should facilitate students' self‐management to obtain successful learning achievement.SDL can be effective for any learner group, not just for adult learners, in online learning environments. [ABSTRACT FROM AUTHOR]

Background: Critical thinking and argumentative writing are considered complex but essential skills for learners. However, few studies have examined how instructions can be designed to optimize the development of such skills simultaneously. Contextualized in flipped language classrooms, this study aimed to develop an instructional innovation for English as a foreign language (EFL) learners. Objectives: This study investigated the effects of an annotation‐supported Socratic questioning (ASSQ) approach as a flipped classroom enhancement on students' argumentative writing and critical thinking in an EFL writing course. Methods: Fifty students from two classes participated in the study, and they were randomly assigned to an experimental group and a comparison group. Following an 8‐week flipped learning curriculum, the experimental group learned with the proposed ASSQ approach in the enhanced flipped classroom, while the comparison group was exposed to the traditional flipped classroom. Students' argumentative writing performance was evaluated with their argumentative essays using a researcher‐developed writing rubric, and their critical thinking skills were assessed using the California Critical Thinking Skills Test. Results: Both groups significantly improved their argumentative writing, and the experimental group also significantly outperformed the comparison group after learning through the proposed approach. While the two groups had no significant difference in critical thinking skills, the within‐group comparison results revealed that the experimental group made significant improvements due to the instructional intervention. Implications: The ASSQ approach could enhance the flipped classroom in regard to the teaching of argumentative writing, whereas it bears only limited impact on critical thinking. Overall, the positive effect of the proposed approach on enhancing English learners' argumentative writing performance was mainly attributed to the combined affordances of Socratic questioning and a social annotation tool to scaffold the students' thinking through verbal articulation, and to visualize their thinking with social annotations throughout the flipped learning process. Lay Description: What is already known about this topic: Recent research has indicated that flipped classrooms can provide a more engaging context for encouraging active learning of students than traditional lecture‐based classrooms.Socratic questioning, which uses thought‐provoking questioning prompts to guide discussions, has been shown to be an active learning strategy to foster students' critical thinking skills.Social annotation tools are helpful in facilitating students' active learning in reading and comprehension. What this paper adds: This study proposed an annotation‐supported Socratic questioning (ASSQ) approach, merging the use of a social annotation tool and an active learning strategy, to enhance the instructional design of flipped language classrooms for English learners.Under the flipped learning conditions, the experimental group who learned with the ASSQ approach significantly outperformed the comparison group without this aid in argumentative writing performance.Under the flipped learning conditions, the proposed ASSQ approach could help both groups of students make satisfactory improvement in critical thinking skills, but there was no significant difference between the groups. Implications for practice: The combination of a social annotation tool and Socratic questioning into an integrated active learning approach can be applied to effectively flip argumentative writing courses for English learners.The proposed ASSQ approach can be adopted in longitudinal studies to explore its potential effect on critical thinking. [ABSTRACT FROM AUTHOR]

Background: This study is the first to address the topic of schematic versus realistic dynamic visualization with particular focus on the human movement effect (HME) when the content to be learned takes the form of a computer algorithm. An AlgoRythmics dance choreography illustration (HM‐realistic) was compared with an abstract computer animation (schematic). Previous research in the field of dynamic visualizations found schematic illustrations to be more effective, but the examined realistic representations did not include HME. Objectives: The objective of this study was to explore the process of comprehension of computer algorithms from these two types of representations (abstract animation vs. dance choreography illustration). Methods: The experiment (pre‐test, study phase, post‐test) involved 84 undergraduate students and included the following conditions (2 × 2 between‐participants‐design): HM‐realistic → HM‐realistic, schematic → schematic, HM‐realistic → schematic, schematic → HM‐realistic. Results and Conclusions: The results reveal that: (i) the group of participants who saw the dance choreography twice outperformed those who saw the computer animation twice; (ii) dance choreography illustration is only beneficial if it is presented as the second visualization. These findings are apparently contrary to the conclusions of some relevant previous research in the field, but they are in line with recent results regarding the HME. Takeaways: Realistic dynamic visualizations can be more effective than schematic ones if they involve human movement. To benefit maximally from realistic visualization, students need to have previously viewed it or to have previously viewed the isomorphic schematic presentation of it. Lay Description: What is already known about this topic: Studies that researched whether animation aids learners' understanding of dynamic phenomena have reported mixed results.When human movement is used to illustrate the learning content, dynamic visualizations have consistently proven to be superior to static visualizations.Various studies have explored dynamic visualizations under different combinations of schematic and/or realistic representations. Participants who were exposed exclusively to realistic animations exhibited significantly lower performance compared to their counterparts in the other conditions. What this paper adds: Realistic dynamic visualizations can be more effective than schematic ones if they involve human movement.This result is apparently contrary to the conclusions of some relevant previous research in the field of schematic versus realistic dynamic visualizations, but it is in line with recent findings regarding the so‐called human movement effect.To benefit maximally from realistic visualization, students need to have previously viewed it or to have previously viewed the isomorphic schematic presentation of it. Implications for practice and/or policy: The study provides a new insight into the research field of dynamic visualizations and valuable guidelines for instructional design. [ABSTRACT FROM AUTHOR]

Background: Japanese EFL learners often fail to identify and categorise the different degrees of certainty associated with CERTAIN, PROBABLE, and POSSIBLE items. This computer‐mediated study evaluated the relative effects of animated versus static illustrations on stimulating the spatial concept of distance for the acquisition of this knowledge. Objectives: This study aimed to: (1) discover whether the spatial concept of distance captured by three‐dimensional (3D) images in animated or static illustrations help learners understand spatial relationships more clearly, and (2) whether a static illustration is sufficient for learning the different degrees of certainty. Method: Animated and static visualisation groups used 3D images of animated versus static illustrations that capture the spatial concept of distance, and a contrasting group did not use illustrations. The former applied the spatial concept of distance to learn the degrees of certainty, using animated or static illustrations. A spatial concept‐oriented approach that visualises concepts of distance enabled participants to understand the degrees of certainty. The contrasting approach involved rote learning of a list of target expressions for the different degrees of certainty in English. Results and Conclusions: Both the animated and static versions of the spatial concept‐oriented approaches were equally effective. The difference between the two versions did not significantly impact the overall performance of the groups. Takeaways: Regardless of the type of effect, the spatial concept of distance captured in words and illustrations helped the participants (1) process the different degrees of certainty cognitively in terms of distances and (2) retain them in long‐term memory. Lay Description: What is already known about this topic: Understanding our experiences in terms of metaphors based on spatially visualised concepts of the physical world leads to mapping the embodied concepts onto non‐embodied concepts and retaining these in long‐lasting memory.3D descriptions direct people's attention to the spatially visualised concepts, which influences people to internalise them with ease.The lack of consensus (in previous studies) on the effect of animated versus static versions of the metaphor awareness‐raising approach with either 2D or 3D images has some relevance to the cognitive theory of multimedia learning. What this paper adds: Computer‐generated 3D images were used to help participants in the metaphor‐based groups understand spatial relationships related to the degrees of certainty among certain, probable, and possible items.This study evaluated the relative effects of animated versus static illustrations on stimulating the spatial concept of distance for the acquisition of this knowledge.The animated and static version of the metaphor‐based approach groups outperformed those in the non‐metaphor‐based and control groups. Implications for practice and/or policy: It is necessary to consider all possible confounding variables and control for their effects when designing future animation versus static studies.Further analysis of the spatial concept‐oriented metaphor‐based approach from the perspectives of the cognitive theory of multimedia learning combined with cognitive linguistic theory would be beneficial for fellow researchers and teachers to gain insight into the nuances of the approach and expand its application in the EFL context. [ABSTRACT FROM AUTHOR]

Background: Different types of assessments influence learning and learning behaviour. Multiple‐choice questions (MCQs) reward partial knowledge and encourage surface learning, while open‐ended questions (OEQs) promote deeper learning. Currently, MCQs is part of team‐based learning (TBL) curriculum, and it is challenging to implement OEQs as immediate feedback is necessary. Objectives: We asked if MCQ and OEQs affect student achievement, student learning and student engagement differently in a TBL classroom. Methods: MCQs and OEQs test scores of N = 66 students were automatically captured in Learning Activity Management System (LAMS) and were compared using a switching replications quasi‐experimental design with pre‐ and post‐tests to answer the research questions. Student learning approaches and engagement in the team activities were assessed using the study process questionnaire and the structure of observed learning outcomes taxonomy respectively. Results and Conclusions: Students get significantly higher MCQ scores than OEQs for the same set of questions, but the reverse is true for application exercises (AEs), which focus on higher‐level application. Most students significantly deepened their learning approaches before OEQs, while poorly prepared students were less engaged during OEQ discussions. Interestingly students subjected to OEQs took less time and scored higher in AE discussions, suggesting better focus on higher‐level thinking. Implications: This project is significant as it bridges our understanding of the value of OEQs and TBL. Our approach is transferable to other courses, and thus it can improve the quality of teaching and learning in tertiary education. Lay Description: What is already known about this topic?: Multiple‐choice questions (MCQs) do not promote deep learning as much as open‐ended questions (OEQ) do.Team‐based learning (TBL) requires MCQs because of the need for immediate feedback.Automated marking can make it more efficient to provide immediate feedback on OEQs as required by the TBL approach. What this paper adds?: OEQs changed student‐learning approaches in the TBL context.OEQs changed the quality of team discussions during the team‐readiness assessment.Test (tRAT) and application exercise phases.Students were concerned about the validity of automated grading. Implications for practitioners: Consider using OEQs in TBL context for deepening student learning.Consider how to defuse students' scepticism of new technology.Consider forming teams with a mix of deep and surface learners. [ABSTRACT FROM AUTHOR]

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