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

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

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

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

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

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

Background: During the COVID‐19 pandemic, online collaborative problem solving (online CPS) has become one of the most crucial learning methods to develop students' learning performance. However, it remains unclear of the effectiveness of the online CPS method on students' learning performance. Objectives: To explore the overall effect of online CPS methods on students' learning performance and identify the moderating factors that influence this impact, we employed a meta‐analysis approach to analyse the combined effects of 31 articles. Results: The results showed that the online CPS method had a medium impact on students' learning performance, with an overall effect size of 0.526. The moderator analysis indicated that the online CPS method was more effective for (a) college preparatory learners, (b) the discipline of Economics, (c) grouping method of assigned, (d) teacher‐led instruction, (e) study duration of 2 to 4 weeks, (f) group size of 3–5 members, (g) synchronous online environment and (h) cognitive performance. Implications: Based on these findings, we recommend using the online CPS to improve students' cognitive and affective learning performance. To enhance students' social learning performance, instructors should design reasonably to use collaborative scaffolding to engage students purposefully and constructively in online CPS activities. Lay Description: What is already known: During the COVID‐19 pandemic, the online collaborative problem solving (CPS) method is gaining increased popularity.The impact of the online CPS method on students' learning performance has aroused the great interest of scholars.Research on the effectiveness of the online CPS method on students' learning performance is inconsistent. What this paper adds: Research on the influence of the online CPS method on students' learning performance, such as in cognitive, affective and social three‐dimensional learning performance.The online CPS method had a medium positive effect on students' cognitive performance and a moderate to low positive impact on students' affective and social performance.Considering some moderating variables (such as group size, educational level, group method, study duration, discipline, intervention measure and online environment), explore the effectiveness of the online CPS method on students' learning performance. Implications for practice: We recommend using the online CPS method to improve students' cognitive and affective learning performance.To enhance students' social learning performance, instructors should design reasonably to use collaborative scaffolding to engage students purposefully and constructively in online CPS activities. [ABSTRACT FROM AUTHOR]

Background: Computer‐based scaffolding has been intensively used to facilitate students' self‐regulated learning (SRL). However, most previous studies investigated how computer‐based scaffoldings affected the cognitive aspect of SRL, such as knowledge gains and understanding levels. In contrast, more evidence is needed to examine the effects of scaffolding on the metacognitive dimension and efficiency outcome of SRL. Objectives: This study aims to examine the role of computer‐based scaffolding in students' metacognitive monitoring and problem‐solving efficiency. Methods: Seventy‐two medical students completed two clinical reasoning tasks in BioWorld, an intelligent tutoring system (ITS) designed for promoting medical students' diagnostic expertise. During solving the tasks, students were asked to report their confidence judgements about proposed diagnoses. Computer trace data were used to identify task completion time (CT) and students' use of three scaffolding types, that is, conceptual, strategic, and metacognitive. Then we calculated students' metacognitive monitoring accuracy (i.e., calibration) and problem‐solving efficiency. Results and Conclusions: One‐sample t‐test demonstrated that students inaccurately monitored their learning processes and were overconfident in both tasks. Linear mixed‐effects models (LMMs) indicated that the intensive use of metacognitive scaffolding positively predicted students' metacognitive monitoring accuracy. Moreover, strategic scaffolding was negatively related to problem‐solving efficiency, whereas metacognitive scaffolding positively influenced problem‐solving efficiency. Takeaways: This study shows the importance of metacognitive scaffolding in improving the accuracy of metacognitive monitoring and problem‐solving efficiency. Findings from this study provide new insights for instructors and ITS developers to optimise the design of scaffoldings. Lay Description: What is already known about this topic?: Computer‐based scaffolding can facilitate students' knowledge gains and academic performance during self‐regulated learning (SRL).The effects of computer‐based scaffolding on the metacognitive dimension and efficiency outcome of SRL are still in a nascent phase. What this paper adds?: This paper explores how different types of computer‐based scaffolding affect students' metacognitive monitoring and problem‐solving efficiency.Metacognitive scaffolding improved the accuracy of medical students' confidence judgements.Metacognitive scaffolding promoted medical students' diagnostic problem‐solving efficiency.Strategic scaffolding had a negative effect on problem‐solving efficiency. Implications for practice: Instructors could provide more metacognitive scaffoldings to facilitate students' metacognitive monitoring accuracy.The designers of intelligent tutoring systems and instructors should consider the costs associated with using scaffoldings. [ABSTRACT FROM AUTHOR]

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

Background: As one of the mainstream forms of programming education, educational robotics (ER) have been a crucial way to develop K‐12 students' programming ability. Objectives: The purpose of this study is to clarify the content of programming ability, to verify the effectiveness of ER as a teaching method to improve students' programming abilities and the conditions for more effective instructional design. Methods: The method of meta‐analysis was adopted to conduct this study. 4180 K‐12 students from 36 studies with a total of 85 effect sizes were captured. Based on the contents of included literature, an ER programming ability model was put forward, which was composed of essential ability and generative ability. The meta‐analysis of essential ability (N = 22) and generative ability (N = 64) was carried out respectively. Results and conclusion: The results showed that ER activity has a positive effect on the essential ability (Hedges' g = 0.539 CI [0.327, 0.752], p < 0.001) and generative ability (Hedges' g = 0.535 CI [0.426, 0.643], p < 0.001). Additionally, the results of moderator analysis showed that utilizing ER to solve mathematics problems is able to more effectively develop students' essential ability, while the STEM interdisciplinary ER instruction had the largest effect on generative ability. Simultaneously, the individual programming form is conducive to students' essential ability, while the generative ability is significantly affected by the cooperative programming form. No matter for the evaluation of essential ability or generative ability, ER had the greatest effect on kindergarten children' programming ability. Moreover, the intervention duration ranging from 1 to 5 weeks, the samples size less than 50 and the choice of measurement scale can effectively improve students' programming ability. Implications: This research enriched the theoretical basis of programming ability, and provided reference and guidance for K‐12 programming teaching practitioners and researchers in ER teaching design and practise. Lay Description: What is (not) known about the subject matter?: Educational robotics (ER) is one of the mainstream form of K‐12 programming education.K‐12 students develop various abilities by coding ER.Different instruction conditions in ER education may affect the teaching effect. What is the contribution of this paper?: This study sorted out the specific content of programming ability in ER activities, and classified programming ability into essential ability and generative ability.This study respectively validated the effectiveness of ER activity on improving essential ability and generative ability of K‐12 students.This study considered discipline integration, cooperation degree, grade level, intervention duration, sample size and assessment tools as moderator variables, and analyzed their effects sizes on ER developing programming ability. What are the implications for practitioners?: This paper clarified the specific content of programming ability in K‐12 ER education, and enriched the theoretical basis of programming ability.It provided evidence for the effectiveness of K‐12 ER education.This study provided an reference and guidance for ER instructional design for K‐12 programming teachers and researchers. [ABSTRACT FROM AUTHOR]

Background: Prior work has shown that middle school students struggle with algebra and that game‐based educational technologies, such as DragonBox and From Here to There!, are effective at improving students' algebraic performance. However, it remains unclear which aspects of algebraic knowledge shift as a result of playing these games and what game design features support algebraic learning. Objective: Using the data from a randomized controlled trial conducted in the 2020–2021 academic year, we (a) examined students' relative performance on assessment items measuring conceptual knowledge, procedural knowledge and procedural flexibility in algebraic equation solving, and (b) identified changes in these aspects of algebraic knowledge after playing DragonBox or From Here to There!. Methods: Eight hundred eighty‐seven seventh‐graders were randomly assigned to playing DragonBox or From Here to There! for nine 30‐min sessions throughout the school year. Students also completed a pretest, midtest and posttest measuring their algebraic knowledge. Results and Conclusion: First, prior to the intervention, students scored the highest on procedural knowledge and lowest on conceptual knowledge. Second, students significantly improved and maintained learning gains on conceptual knowledge throughout the intervention. Their performance on procedural knowledge and procedural flexibility items increased at midtest but decreased at posttest. Third, the pattern of results was consistent for students in the DragonBox and From Here to There! conditions, suggesting that both games may support students' conceptual understanding of algebra. The findings have implications for research and practice on supporting algebraic learning through game‐based technologies during and beyond educational disruptions. Lay Description: What is already known about this topic: Middle school students struggle with aspects of algebra.DragonBox and From Here to There! are two game‐based technologies designed to support students' algebraic learning.Both games implement point rewards and dynamic interactions; they differ in the uses of algebraic notation and problem structures. What this paper adds: Both games improved seventh‐graders' conceptual knowledge of algebraic equivalence.Students also improved on procedural knowledge and procedural flexibility, but the gains did not last to the end of the intervention. Implications for practice and/or policy: The games and their shared features may provide an engaging way to support students' conceptual understanding of algebra. [ABSTRACT FROM AUTHOR]

Background: In learning mechanics, students often believe that "force is exerted on moving objects." As this misconception called "motion implies a force" (MIF) is difficult to correct, various teaching methods have been proposed, such as showing refutational/explanatory text (Palmer & Flanagan, 1997; Takagaki, 2004), promoting students' conceptual development (Dekkers & Thijs, 1998) and epistemology‐focused instruction (Elby, 2001). Objectives: The purpose of this research is to empirically examine the effectiveness of an alternative method we have proposed for helping students overcome MIF misconceptions. The method is called the "Error‐based simulation (EBS)" that creates a counterexample to students' misconceptions by simulating erroneous phenomena based on students' incorrect ideas. Methods: We conducted a two‐year experimental implementation of EBS in mechanics classes at a technical college, and investigated the results. Students worked on the pre‐test, the exercise with EBS, the post‐test, and the delayed post‐test. Results and Conclusions: In both years, MIF‐answers (wrong answers due to MIF) in the learning task (problems learned with EBS) significantly decreased from the pre‐test to the post‐test and the delayed post‐test. The decrease in other erroneous answers was not significant. EBS was effective mainly in correcting MIF‐answers, and the effect was maintained over the long term. In the transfer task (new problems), the ratio of MIF‐answers to all erroneous answers in both the post‐test and delayed post‐test was much lower than that on the learning task in the pre‐test. These results suggest that learning with EBS not only corrected MIF‐answers but also promoted the correction of MIF misconceptions. A comparison between our results and those of other methods for correcting MIF misconceptions revealed that the effect of EBS was equal to or greater than that of other methods mentioned above. Lay Description: What is currently known about the subject matter: In learning mechanics, students often believe "continuing force is exerted on moving objects."This misconception called "motion implies a force" (MIF) is difficult to correct.Various teaching methods have been proposed and practiced.However, MIF misconceptions do not completely disappear yet. What our paper adds to this: We propose an alternative method for correcting MIF misconceptions called EBS.EBS provides a counterexample to students' misconceptions by simulation.EBS helps students discover the correct concept by themselves.We report the results of a two‐year experimental use of EBS at a technical college. The implications of study findings for practitioners: Our experience shows EBS is useful in correcting MIF misconceptions.The effectiveness of EBS is at least equal to or greater than other methods.Learning with EBS probably promotes the correction of errors at a conceptual levelWe believe our results have a certain degree of generality and usefulness. [ABSTRACT FROM AUTHOR]

Background: The emergence of remote teaching during the Coronavirus (COVID‐19) pandemic caused several gaps due to teachers being unprepared to teach online. Teachers did not achieve many digital competencies, resulting in an inability to facilitate the students' learning by using technology creatively to overcome challenges. Accordingly, developing teachers' digital competencies to facilitate the teaching and learning process will: positively impact students' innovative use of digital technology in completing their tasks; consequently, develop their digital competencies; prepare them for jobs that do not yet exist; and support them for unexpected challenges they might face. Objectives: This study investigates the impact of the upskilling training programme on developing teachers' digital competence, where the aim is to investigate if the teachers' digital competence has improved from the expected intermediate level stated by the World Bank Report in 2021, where strategies for the Digital Skills Action Plan were mentioned. For instance, strategy 2 "Reform of Digital Skills programmes" stated that students must acquire at least intermediate level of general digital skills. Strategy 3 "Enhance use of technologies in teaching and learning" aims to advance teachers' digital competencies to be above the intermediate level. Accordingly, the above average level was used in the hypothesis as a benchmark of the teachers' levels after attending the upskilling training programme. The upskilling training programme of this study is a 10‐week training session using blended learning approach with instructor leading. The training's long‐term goals aim to construct a higher level of competency in a set of skills, attitudes as well as knowledge, which include digital citizenship; communication and collaboration; critical thinking, problem‐solving, and decision‐making; creativity and innovation; using technology as a tool. Methods: A sequential mixed‐method approach using quantitative and qualitative data was used. An online survey with closed‐ended items was adopted to collect quantitative data from teachers. The qualitative data was collected through teachers' focus group discussions using the Zoom conference meetings platform. The participants are K‐12 teachers from a group of national charity schools in the United Arab Emirates (UAE). Results and Conclusions: The study results revealed that the upskilling training programme efficiently developed teachers' digital competence where they construct knowledge and skills. Teachers exhibit a positive attitude towards using technology that supports collaboration, learning, and productivity, consequently developing their digital competence. As a result, this will also lead to the development of the students' digital competencies, where they will be able to overcome challenges they might face in this changing world, especially after the pandemic of Covid‐19, where there is reliance on the use of technology. Takeaways: These findings aid in understanding the impact of the upskilling training programme on the development of the teachers' digital competence. Educators need to provide teachers with suitable online and face‐to‐face training that meets the teachers' needs. However, understanding the difference between upskilling and reskilling training programmes is vital to delivering training that develops the teachers' capabilities. Lay Description: What is already known about this topic: The emergence of remote teaching during the pandemic caused several gaps due to the unprepared teachers to teach online.Upskilling is a long‐term resilience training that develops the teachers' capabilities.Teacher's digital competence requires applying complex and different strategies together. What this paper adds: The upskilling training programme develops the teachers' digital competence.Teachers exhibit a positive attitude towards using technology that supports collaboration, learning, and productivity to teach online.Teachers are skillful and prepared to overcome any unexpected challenges. Implications for practise and/or policy: Provide online, blended, and face‐to‐face upskilling training programmes for in‐service teachers according to the needs.Increase the presence of upskilling training programmes for in‐service teachers to develop their capabilities according to their needs. [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: This study aims to integrate the theories of social presence and social identity to examine the effectiveness of group‐based problem‐based learning (PBL) in learning communities. Social presence is a critical factor in determining the success of collaborative learning in group‐based PBL activities. Although several studies have investigated the effects of using self‐directed and collaborative learning, they present weak evidence within those studies to explain the impact of social interaction on perceived PBL performance in nursing internship programs. Objectives: This study develops a second‐order formative model to examine the relationship between social presence, trust, social identification and students' perceived PBL performance. Methods: The partial least squares technique is used to analyse data from 409 nursing interns who studied at seven medical universities or nursing colleges. Results and Conclusions: The results indicate that all hypotheses are supported, which is an underaddressed topic in the nursing internship education literature. Notably, the findings of this study contribute to a better understanding of the interns' perceived PBL performance during the internship. Lay Description: What is already known about this topic?: Previous studies have confirmed that social presence significantly affects learning performance.In learning communities, social interaction depends on the development of trust networks. What this paper adds?: This study reveals that students' perceived problem‐based learning (PBL) performance can be measured by the four primary of independent study, group interaction, reasoning skills and active participation. Accordingly, social presence, social identification and trust can significantly influence these four dimensions of learning performance.The social interaction in community‐based PBL contexts was observed, and it is found that students' level of social presence have a positive influence on their social identification, trust and perceived PBL performance. The implications of study findings for practitioners: The interpersonal interaction among students in the online PBL communities improves the students' understanding of PBL processes and enhances their learning outcomes in nursing internship programs.The findings of this study can effectively guide educators and instructors to develop effective approaches to organize and manage PBL‐based nursing internship programs. [ABSTRACT FROM AUTHOR]

Background and Purpose: Understanding the experiences of learners—and future graduates—is integral to their professional development and to the development of the profession. This paper adds to understanding of physiotherapy student experiences by exploring the ways students and recent graduates approach, learn about, connect with and form a relationship with their chosen profession of physiotherapy. Methods: Heuristic inquiry, a form of phenomenology, was used. Thirteen participants (11 students and 2 new graduates) were interviewed. Results: The findings are presented as four portraits: passenger, tourist, resident and citizen. These represent four particular and prominent ways that the participants connected with specific situations and/or to the profession as a whole, the sense they made of those situations (or the broader profession) and the identity formed. Discussion: The portraits help educators to think about how students are navigating the process of becoming a physiotherapist and might act as a tool to help foster students' professional development. Educators who understand students' motivations and struggles are better prepared to help students to see themselves and the profession in sophisticated ways. [ABSTRACT FROM AUTHOR]

Background: The idea of computational thinking is underpinned by the belief that anyone can learn and use the underlying concepts of computer science to solve everyday problems. However, most studies on the topic have investigated the development of computational thinking through programming activities, which are cognitively demanding. There is a dearth of evidence on how computational thinking augments everyday problem solving when it is decontextualized from programming. Objectives: In this study, we examined how computational thinking, when untangled from the haze of programming, is demonstrated in everyday problem solving, and investigated the features of such solvable problems. Methods: Using a multiple case study approach, we tracked how seven university students used computational thinking to solve the everyday problem of a route planning task as part of an 8‐week‐long Python programming course. Results and Conclusions: Computational thinking practices are latent in everyday problems, and intentionally structuring everyday problems is valuable for discovering the applicability of computational thinking. Decomposition and abstraction are prominent computational thinking components used to simplify everyday problem solving. Implications: It is important to strike a balance between the correctness of algorithms and simplification of the process of everyday problem solving. Lay Description: What is already known about this topic: Computational thinking is a problem solving skill.Computational thinking is different from programming.There is dearth of evidence on how computational thinking augments everyday problem solving. What this paper adds: Computational thinking practices are latent in everyday problem solving.Intentional restructuring of problems is required to uncover how computational thinking applies in solving them. Implications for practices: Decomposition and abstraction are critical in solving everyday problems.Computational thinking should be taught explicitly through everyday problems.Finding balance between the correctness of algorithm and simplification of the problem solving process is important. [ABSTRACT FROM AUTHOR]

The response process of problem‐solving items contains rich information about respondents' behaviours and cognitive process in the digital tasks, while the information extraction is a big challenge. The aim of the study is to use a data‐driven approach to explore the latent states and state transitions underlying problem‐solving process to reflect test‐takers' behavioural patterns, and to investigate how these states and state transitions could be associated with test‐takers' performance. We employed the Hidden Markov Modelling approach to identify test takers' hidden states during the problem‐solving process and compared the frequency of states and/or state transitions between different performance groups. We conducted comparable studies in two problem‐solving items with a focus on the US sample that was collected in PIAAC 2012, and examined the correlation between those frequencies from two items. Latent states and transitions between them underlying the problem‐solving process were identified and found significantly different by performance groups. The groups with correct responses in both items were found more engaged in tasks and more often to use efficient tools to solve problems, while the group with incorrect responses was found more likely to use shorter action sequences and exhibit hesitative behaviours. Consistent behavioural patterns were identified across items. This study demonstrates the value of data‐driven based HMM approach to better understand respondents' behavioural patterns and cognitive transmissions underneath the observable action sequences in complex problem‐solving tasks. Lay Description: What is already known about this topic?: Process data of interactive problem‐solving tasks contains rich information about test‐takers.To extract underlying information from process data is a big challenge. ​ What this paper adds?: The hidden Markov model helps identify latent states underlying problem‐solving process.Different performance groups displayed different behaviour characteristics.A consistent behavioural pattern was observed across problem‐solving items. ​ Implications for practitioners: The use of HMM holds promise in better visualize and understand behaviour patterns in response process.HMM is potential in understanding cognitive transmissions underneath the observable action sequences. ​ [ABSTRACT FROM AUTHOR]

The study designed WebQuest activities and explored the learning performance of learners to understand the suitability of using WebQuest in a college programming course. The study modified the processes of WebQuest based on social constructivism and scaffolding learning, and included programming tasks such as debugging practice to encourage learners to develop their problem‐solving abilities. The WebQuest learning sheets include the following four parts, introduction, task, resources and evaluation, and the learners had to complete the tasks without the detailed processes. After they had tried to solve the problem for approximately two weeks, the detailed WebQuest processes were provided. A total of 109 learners (third year of college) participated in the study and were separated into two groups. The experimental group underwent WebQuest teaching, while the control group received the traditional IT‐integrated teaching. The study duration was 18 weeks (3 hr/week). The results indicated that the modified WebQuest activity gave learners scaffolding to do try‐and‐revise practice, and the processes of using provided possible information to test and debug the resulting codes encouraged them to associate and analyze learning information before programming and then to generalize the programming steps on their own instead of following the instructor's step‐by‐step instructions. The learners thus have a deep understanding of the programming concept rather than surface learning. The findings revealed that the modified WebQuest activity is a helpful form of scaffolding for promoting learners' positive learning experiences regarding organizing information and problem solving and reasoning skills. Besides, integrating debugging practice in the WebQuest activity could promote learners' intermediate and advance level programming ability. Subsequent research could further explore the effects of adding after‐practice WebQuest activities to assist and trigger learners' self‐reflection for refining their problem‐solving processes after the in‐class WebQuest activities. Lay Description: What is already known about this topic: Proper guidance is effective for promoting learners' active participation.Problematizing scaffolds is effective for self‐regulation programming learning.WebQuest enhances students' problem‐solving, motivation, and active learning. What this paper adds: The modified WebQuest scaffolded students' try‐and‐revise practice.Students associated learning information and generalized programming steps on their own through the WebQuest activity. Implications for practice and/or policy: Instructors could adopt modified WebQuest activities as scaffolding to support programming problem solving.Further research could add after‐practice reflection to refine the problem‐solving process. [ABSTRACT FROM AUTHOR]

Eye movement modelling examples (EMME) are computer‐based videos displaying the visualized eye gaze behaviour of a domain expert person (model) while carefully executing the learning or problem‐solving task. The role of EMME in promoting cognitive performance (i.e., final scores of learning outcome or problem solving) has been questioned due to the mixed findings from empirical studies. This study tested the effects of EMME on attention guidance and cognitive performance by means of meta‐analytic procedures. Data for both experimental and control groups and both posttest and pretest were extracted to calculate the effect sizes. The EMME group was treated as the experimental group and the non‐EMME group was treated as the control group. Twenty‐five independent articles were included. The overall analysis showed a significant effect of EMME on time to first fixation (d = −0.83), fixation duration (d = 0.74), as well as cognitive performance (d = 0.43), but not on fixation count, indicating that using EMME not only helped learners attend faster and longer to the task‐relevant elements, but also fostered their final cognitive performance. Interestingly, task type significantly moderated the effect of EMME on cognitive performance. Moderation analyses showed that EMME was beneficial to learners' performance when non‐procedural tasks (rather than procedural tasks) were used. These findings show contributions for future research as well as practical application in the field of computers and learning regarding videos displaying a model's visualized eye gaze behaviour. Lay Description: What is already known about this topic: How eye movements affect cognitive processes has attracted a lot of attention and it is regarded as an important question for the promotion of cognitive performance.Eye movement modelling examples (EMME) show the potential to guide visual attention and foster cognitive performance.The existing empirical findings of the effects of EMME are not consistent, especially regarding cognitive performance. What this paper adds: Overall, EMME can help learners attend faster and longer to the task‐relevant area.Overall, cognitive performance can be facilitated by EMME.Task type is a boundary condition for the role of EMME in the promotion of cognitive performance. Implications for practice and/or policy: Cognitive trainers, teachers, or other practitioners should carefully consider embedding expert models' eye movements into training or learning materials.When using EMME, practitioners should take the task type into consideration. [ABSTRACT FROM AUTHOR]