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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: There are only few guidelines on how instructional videos should be designed to optimize learning. Recently, the effects of social cues on attention allocation and learning in instructional videos have been investigated. Due to inconsistent results, it has been suggested that the visual complexity of a video influences the effect of social cues on learning. Objectives: Therefore, this study compared the effects of social cues (i.e., gaze & gesture) in low and high visual complexity videos on attention, perceived cognitive load, and learning outcomes. Methods: Participants (N = 71) were allocated to a social cue or no social cue condition and watched both a low and a high visual complexity video. After each video, participants completed a knowledge test. Results and Conclusions: Results showed that participants looked faster at referenced information and had higher learning outcomes in the low visual complexity condition. Social cues did not affect any of the dependent variables, except when including prior knowledge in the analysis: In this exploratory analysis, the inclusion of gaze and gesture cues in the videos did lead to better learning outcomes. Takeaways: Our results show that the visual complexity of instructional videos and prior knowledge are important to take into account in future research on attention and learning from instructional videos. Lay Description: What is already known about the topic: Instructional videos are widely used in education.Learners need to timely attend to relevant content to learn successfully.Learners' attention might be guided towards relevant content with social cues (gaze and gesture of a presenter or instructor) but findings regarding learning outcomes are inconclusive. What does this paper add: This paper is the first to examine the role of the visual complexity of an instructional video in the interplay between social cues (gaze and gesture), learners' attention allocation, and learning outcomes. Implications for practice: The results show that visual complexity influences the learners' attention allocation and learning outcomes.Social cues (i.e., gaze & gesture) improved learning outcomes when controlling for learners' prior knowledge. [ABSTRACT FROM AUTHOR]

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

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

Background: During the COVID‐19 period, academics and higher education institutions have shown deep concern about academic integrity related to measurement and evaluation issues that have arisen in online education. Objectives: To address this concern, this paper examined the prevalence of cheating behaviour among university students before and during the pandemic by comparing self‐reported cheating behaviours of students and academics' perceived levels of cheating behaviours of their students. Methods: A correlational design was employed aligned with study objectives. Results and Conclusions: The results indicate that although both groups reported a significant increase in cheating incidents in online education, instructors' perceived frequency of student cheating is remarkably greater than students' self‐report cheating incidents. Contrary to the perceptions of instructors and stakeholders in education, students did not report a very drastic cheating increase in online education during the pandemic. The strongest predictive power for online cheating behaviours was the cheating behaviours in face‐to‐face education. Whereas the sensitivity of institutions and course instructors toward cheating behaviour was negatively associated with cheating behaviours in face‐to‐face education, this situational factor did not show a significant effect in distance education. Regarding individual factors, we found a significant relationship between cheating behaviours and gender, discipline, whereas no significant relationship was found in terms of student GPA. Consequently, in order to minimize the threats to the validity of scores associated with cheating, faculty should be supported through faculty development programs and resources so that they can develop authentic assessment strategies for measuring higher‐order thinking skills. Lay Description: What is already known about this topic: The COVID‐19 period created an abrupt shift in learning conditions and measurement processes.Educational administrators and teachers have also shown deep concern about academic integrity related to measurement and evaluation issues that have arisen in distance education during the pandemic period.Previous studies investigating the factors affecting students' academic dishonesty in traditional cheating behaviours have primarily focused on individual and situational factors. What this paper adds: The online education process caused an increase in cheating behaviour scores.There is a substantial range between students and instructors' responses about online cheating during the pandemic.Cheating behaviour in face‐to‐face education significantly explains cheating behaviour in online education. Cheaters in face‐to‐face education are also cheaters in online education.The sensitivity shown by university and course instructors toward cheating yielded a mixed result in online and face‐to‐face education.In online and face‐to‐face education settings, cheating behaviour scores of female students are lower than male students.Students with lower GPA scores generally have higher cheating behaviours. Implications for practice and/or policy: Individual and contextual factors are major determinants of cheating behaviours.In order to minimize the threats on validity of scores associated with cheating, faculty should be supported through faculty development programs and resources so that they can develop authentic assessment strategies for measuring higher‐order thinking skills.This study fills an important gap in the available literature on cheating before and during COVID‐19.The study has a potential to guide higher education institutions for planning and initiating strategies to address cheating in short and long term. [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]

Background: Medical students use a variety of self‐regulated learning (SRL) strategies in different medical reasoning (MR) processes to solve patient cases of varying complexity. However, the interplay between SRL and MR processes is still unclear. Objectives: This study investigates how self‐regulated learning (SRL) and medical reasoning (MR) occurred concurrently in medical students while completing a diagnostic task in an intelligent tutoring system. This study aims to provide new insights into performance differences between high‐ and low‐achieving students in tasks of varying complexity. Methods: Thirty‐one medical students (67.6% female) from a large North American university were tasked with solving two virtual patient cases in an intelligent tutoring system, BioWorld. BioWorld was designed for medical students to practice clinical reasoning skills deliberately. We collected students' think‐aloud protocols, based on which we coded their use of SRL behaviours and medical reasoning activities. We analysed the co‐occurrences of SRL behaviours and medical reasoning activities using the epistemic network analysis (ENA) method. Results: The SRL behaviour self‐reflection and MR activity lines of reasoning co‐occurred more frequently in a difficult task than in an easy task. In both tasks, high performers demonstrated more co‐occurrences of self‐reflection and lines of reasoning than low performers. Moreover, the MR activity conceptual operations co‐occurred more frequently with the SRL activities of monitoring and evaluation among high performers compared to low performers in an easy task. Implications: The co‐occurrences of SRL behaviours and MR processes account for students' performance differences. The design of computer‐based learning environments for clinical reasoning should promote the acquisition of both SRL and medical reasoning abilities. Moreover, medical educators should consider task complexity when scaffolding. Lay Description: What is already known about this topic: Self‐regulated learning (SRL) and medical reasoning skills are both crucial for diagnosing patients.Medical students can practice clinical reasoning with computer simulations. What this paper adds: Students solved virtual patients of varying complexity in an intelligent tutoring systemWe examined the co‐occurrences of SRL behaviours and medical reasoning process.Epistemic network analysis was used to analyse the interplay of SRL and medical reasoning.High performers show more co‐occurrences of reflection and higher‐order reasoning. Implications for practice and/or policy: Task complexity has impact on students' learning and reasoning co‐occurrences.Intelligent tutoring systems should foster regulation and reasoning acquisition. [ABSTRACT FROM AUTHOR]

Background: Most students have exhibited low motivation to engage in traditional learning methods. Additionally, students have difficulty concentrating on the course content, being easily distracted by their smartphones. Objectives: Therefore, we adopted an online 3D gamification problem‐based learning (PBL) model to motivate students and improve their learning satisfaction and achievement on a human resource development course. Methods: We followed the ADDIE instructional design model and used four essential topics to formulate our teaching activities in the three‐dimensional sandbox game, Creativerse. Moreover, this paper conducted an explorative study by using ANCOVA and partial least squares structural equation modelling to test student learning achievement and analyse the relationships between components such as performance expectancy (PE), effort expectancy (EE), social influence (SI), and facilitating conditions (FC). Results and conclusions: Our online 3D gamification PBL model enhanced learning achievement on the courses; moreover, FC is the most critical factor influencing learning satisfaction. This study provided suggestions for operating an online 3D gamification PBL teaching approach. Implications: The current paper also explained how students' learning satisfaction relates to these significant factors. Moreover, this study's findings will help instructional designers and instructors to develop online 3D gamification learning environments. Lay Description: What is already known about this topic: Gamified learning can effectively enhance learners' learning motivation.The fun and learning content of the game requires good planning.Gamification can help students become more involved and learn independently. What this paper adds: We designed the instruction that integrated 3D sandbox computer games and problem‐based learning (PBL) into a human resource development course.We conducted a pre‐experiment to test students' learning outcomes by using an ANCOVA and obtaining favourable results.Developing a questionnaire and utilizing PLS‐SEM analysis to explore what significant factors influence students' learning satisfaction. Implications for practice and/or policy: The results indicated that this teaching approach promoted students' active participation and had a learning achievement and satisfaction.This article offered suggestions for practicing a 3D gamification PBL teaching approach. [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]

Background: Formative assessments are vital for supporting learning and performance but are also considered to increase the workload of teachers. As self‐assessments in higher education are increasingly facilitated via digital learning environments allowing to offer direct feedback and tracking students' digital learning behaviour these constraints might be reduced. Yet, learning analytics do not make sufficient use of data on assessments. Aims: This exploratory case study uses learning analytics methods for investigating students' engagement with self‐assessments and how this relates to performance in the final exam and self‐reported self‐testing strategies. Materials & Methods: The research study has been conducted at a European university in a twelve‐weeks course of a Bachelor's program in Economic and Business Education including nenroll = 159 participants. During the semester, students were offered nine self‐assessments each including three to eight tasks plus one mid‐term and one exam‐preparation self‐assessment including all prior self‐assessments tasks. The self‐assessment interaction data for each student included: the results of the last self‐assessment attempt, the number of processed self‐assessment tasks, and the time spent on the last self‐assessment attempt, the total self‐assessment attempts, and the first as well as last access of each self‐assessment. Data analytics included unsupervised machine learning and process mining approaches. Results: Findings indicate that students use the self‐assessments predominantly before summative assessments. Two distinct clusters based on engagement with self‐assessments could be identified and engagement was positively related to performance in the final exam. The findings from learning analytics data were also indicated by students' self‐reported use of self‐testing strategies. Discussion: With the help of multiple data from self‐reports, formal exams, and a learning analytics system, the findings provided multiple perspectives on the use of self‐assessments and their relationships with course performance. These findings call for applying assessment analytics and related frameworks in learning analytics as well as providing learners with related adaptive feedback. Conclusion: Future research might investigate different (self‐report) variables for clustering, other student cohorts or self‐assessment forms. Lay Description: What is already known about this topic: Formative assessments are vital for supporting learning and performance.Learning analytics do not make sufficient use of data on assessments. What this paper adds: Students use the self‐assessments predominantly prior to summative assessments.Engagement with self‐assessments was positively related to performance in the final exam. Implications for practice and/or policy: Findings call for applying assessment analytics and implementing related learning analytics frameworks for supporting learning processes and performance.Pedagogically oriented assessment analytics may provide multiple benefits for learners, teachers, schools, and other involved stakeholders. [ABSTRACT FROM AUTHOR]

Background: The use of crowdsourcing in a pedagogically supported form to partner with learners in developing novel content is emerging as a viable approach for engaging students in higher‐order learning at scale. However, how students behave in this form of crowdsourcing, referred to as learnersourcing, is still insufficiently explored. Objectives: To contribute to filling this gap, this study explores how students engage with learnersourcing tasks across a range of course and assessment designs. Methods: We conducted an exploratory study on trace data of 1279 students across three courses, originating from the use of a learnersourcing environment under different assessment designs. We employed a new methodology from the learning analytics (LA) field that aims to represent students' behaviour through two theoretically‐derived latent constructs: learning tactics and the learning strategies built upon them. Results: The study's results demonstrate students use different tactics and strategies, highlight the association of learnersourcing contexts with the identified learning tactics and strategies, indicate a significant association between the strategies and performance and contribute to the employed method's generalisability by applying it to a new context. Implications: This study provides an example of how learning analytics methods can be employed towards the development of effective learnersourcing systems and, more broadly, technological educational solutions that support learner‐centred and data‐driven learning at scale. Findings should inform best practices for integrating learnersourcing activities into course design and shed light on the relevance of tactics and strategies to support teachers in making informed pedagogical decisions. Lay Description: What is already known about this topic: Engaging students in learnersourcing activities is on the riseLearning tactics and strategies have emerged as a viable method for interpreting student behaviour What this paper adds: Identifying common tactics and strategies students use in learnersourcing activitiesBroadening the use of the learning tactics and strategies method by applying it in a new context Implications for practice and/or policy: Findings inform best practices for integrating learnersourcing activities into course designMaking the tactics and strategies available to instructors can support teachers in making informed pedagogical decisions [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: Artificial Intelligence (AI) literacy is a crucial part of digital literacy that all individuals should possess in today's technologically advanced world. Despite the potential benefits that AI education offers, little research has been done on how to teach AI literacy to children. Objectives: This study aimed to fill that gap by investigating how children were engaged in AI literacy activities that are supported by intelligent agents. These activities were implemented in a Hong Kong kindergarten with a class of six 5‐year‐olds (Mage = 62.83 months, SD = 2.91) over a 6‐week period. Methods: The study gathered data from multiple sources, including classroom observations, teacher interviews, and documents/artefacts. Results and Conclusions: The results showed that children could learn about AI through interaction with intelligent agents in embodied learning contexts. The findings of this study have implications for the broader field of digital technology education, particularly in the context of early childhood education. Lay Description: What is already known about this topic: Artificial Intelligence (AI) literacy is essential in today's world.Little research exists on engaging young children in learning AI literacy. What this paper adds: Technology‐enhanced embodied learning approach affords multimodality in enabling young children's learning with AI‐related agents.Project‐based learning and real‐life examples can enhance children's learning. Implications for practice and/or policy: Early exposure to AI can help children navigate the increasingly digital world.Practical approaches, such as embodied and multimodal learning, seem to be effective.Teachers can enhance children's digital learning by using pedagogical strategies like project‐based learning and real‐life examples. [ABSTRACT FROM AUTHOR]

Background: The global introduction of complex measures directed at the containment of the COVID‐19 spread has spurred a massive shift to distance learning among educational institutions. As far as such a learning mode is rather forced and, probably, only a few establishments faced no difficulties with it, the matter of assuring teaching activities' effectiveness in the practice of e‐learning is relevant. Objectives: The main purpose of this article was to assess the efficiency of online‐based tools and technologies in the context of distance education and develop a set of recommendations aimed at improving the effectiveness of online teaching. Methods: The research methodology was based on an empirical approach presupposing an exploratory questionnaire survey addressed to university students. As for the e‐learning platform used, the focus was set on Microsoft Teams. Results and Conclusions: In general, the conducted investigation unveiled that the perception of the role of the instructor differs among Western and Chinese students in terms of willingness to accept psychological help and the feeling of safety during online lessons. Given this, it is reasonable to pay more attention to the psychological well‐being of international students. The comprehensive analysis of survey outcomes allowed the development of a set of recommendations able to enhance the effectiveness of teaching in online settings. These encompass, for example, giving preference to small student group formations, setting greater emphasis on means increasing students' motivation to learn, involvement of instructors in the development and delivery of video lectures, the introduction of automated student assessment, use of multimedia information, and informing students about possible ways of interaction. Lay Description: What is already known about this topic: The comprehensive analysis of survey outcomes allowed developing a set of recommendations able to enhance the effectiveness of teaching in online settings.The most convenient digital features during e‐learning implementation were instant access to information and the availability of a shared chat room.Pre‐pandemic electronic learning was often criticized for insufficient student engagement and social interaction, leading to the need to increase student engagement through interactive online activities, virtual group projects, online discussion forums, and accessibility. What this paper adds: In general, the conducted investigation unveiled that perception of the role of instructor differs among Western and Chinese students in terms of willingness to accept psychological help and the feeling of safety during online lessons.It appeared that international students are more exposed to stress factors and are less likely to trust an educator to the degree allowing them to ask for help.It was possible to develop a set of recommendations aimed at improving the effectiveness of teaching activities during e‐learning through an in‐depth analysis of survey results. Implications for practice and/or policy: Several implications for future investigations can be identified, namely: conducting further studies on the psychological well‐being of international students in online learning, examining cross‐cultural differences, exploring the effectiveness of teaching practices, and addressing broader social issues and consequences.Further research should focus on institutions across China to generalize the results obtained and formulate more reliable inferences.Another limitation is related to the instructors themselves. This variation in specialization among participants could have had an impact on the study's results, but it was not possible to address this issue within the constraints of the current research design. [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]

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

Introduction: During the COVID‐19 lockdown in 2020, teachers had to shift their teaching and assessment to online. Formative assessment (FA) can help teachers to engage, guide and monitor students' (online) learning. However, more knowledge is needed of how teachers could use the full FA process online. Methods: In this study data from 50 secondary school teachers, who taught different grade levels and subjects and joined a FA learning network that started before and continued during the lockdown, were collected. The study investigates how they used online FA practices differently than face‐to‐face FA, what challenges and opportunities they experienced in online FA and what lessons they learned and intended to keep. This mixed methods study used data from a questionnaire, interviews and webinars that were segmented, coded and analysed. Results: Results showed that many teachers implemented new FA strategies and adopted, more often than in their face‐to‐face practice, all the five phases of the FA process in an aligned matter in online FA. Teachers indicated opportunities in stimulating student engagement and guiding and monitoring student learning more at an individual level in the online FA process, but also experienced challenges, mainly in lack of interaction online. Discussion: The sudden and necessary shift to online FA, due to the COVID‐19 lockdown, challenged teachers to more fundamentally reconsider their assessment practices and assumptions. Teachers intended to make use of these learned lessons to improve their future (blended) FA practice. Lay Description: Known about the subject matter: Online formative assessment (FA) can help teachers to engage, guide and monitor online learning.Most earlier research of online FA looked at parts of the FA process or tools.Teachers' former knowledge and skills in FA influences the online implementation.Online FA offers opportunities to promote learning, but is also challenging. What their paper adds to this: Experienced teachers were able to implement complete FA processes online.Teachers experienced that online FA could stimulate student engagement.Teachers made more time for individual help and feedback during online FA.Teachers intended to maintain these lessons learned in their future (blended) FA practice. The implications of study findings for practitioners: Combining online FA activities with face‐to‐face activities creates opportunities for future blended FA.The five phases of the FA cycle help teachers to implement FA online or in blended forms. [ABSTRACT FROM AUTHOR]

Background: Learners in a given massive open online course (MOOC) are usually provided with the same learning materials, guided by the same syllabus, and assessed in the same format. This "one‐size‐fits‐all" approach constrains learners' ability to reap the optimal benefits from online learning. Objectives: This study aims to characterize learners' differences in MOOC learning. Specifically, it examines how learners might vary in their enrolment motivation and the development of continuance intention to learn in a MOOC because of their gender and employment status. Methods: Data were collected via a questionnaire survey. Quantitative and qualitative methods were used to analyse data from 664 learners in a Chinese MOOC. Results and Conclusion: The research revealed significant differences in learners' enrolment motivation across groups defined by employment status, but not for gender groups. Learner groups defined by gender and employment status experienced variant psychological processes when deciding to continue to learn in the MOOC. Major Takeaways: Working adults stressed the instrumental values derived from MOOC learning; therefore, it is vital to design and integrate additional features into the MOOC to satisfy their needs. Besides, it would be critical to understand female learners' and working adults' expectations of MOOC learning, as they are more sensitive to confirmation in determining their attitudes toward learning in a MOOC. A short pre‐course survey of learners' expectations would serve the purpose. Lay Description: What is already known about this topic?: Gender and employment status are associated with varied learning outcomes in MOOCs.Motivation and continuance intention are two critical psychological mechanisms.Confirmation, satisfaction, and attitude are determinants of continuance intention. What this paper adds?: Students' enrolment motivation is significantly different from that of working adults.No significant difference was found in motivation across gender.Working adults' and female learners' attitudes were more determined by confirmation.Students and male learners depended more on satisfaction in forming their attitudes. Implications for practitioners: Working adults stressed the instrumental value derived from MOOC learning.Extra features should be integrated into MOOCs to satisfy working adults' needs.It is critical to understand female learners' and working adults' expectations.A short pre‐course survey could shed light on learners' expectations [ABSTRACT FROM AUTHOR]

Background: Previous research has shown that teachers hold misconceptions about multimedia learning (e.g., multimedia instruction needs to be adapted to students' learning styles), which may be at odds with evidence‐based teaching. Objectives: Refutation texts are a classical method to reduce misconceptions and thus to stimulate conceptual change. We wanted to know whether making use of a computer algorithm to personalize refutation texts would best initiate teachers' conceptual change. Methods: We designed an online experiment, in which N = 129 in‐service teachers read either (1) expository texts (without direct refutation), (2) common refutation texts, or (3) personalized refutation texts. The teachers filled in a misconception questionnaire pre and post to assess their conceptual change. Results and Conclusions: Statistical analyses revealed that personalized refutation texts initiated the strongest conceptual change, which was driven by increased feelings of guilt and shame. Common refutation texts did not foster teachers' conceptual change as compared to expository texts. These findings indicate that refutation texts should be personalized for experienced practitioners such as teachers. Takeaways: Personalized refutation seems to be promising in the context of online teacher training programs. Further research should test to which extent the present findings also apply to other groups of experienced learners or practitioners. Lay Description: What is already known about this topic?: Teachers hold misconceptions about multimedia learning (e.g., learning materials should be adapted to students' individual learning styles, such as visualizers or verbalizers).Refutation texts, naming a commonly held misconception, disproving it and introducing a scientific explanation, are a common means to reduce misconceptions.Personalization fosters learning by drawing the learner's attention toward the discrepancy between their own beliefs and the learning material, further creating an impasse experience.Said impasse experience may trigger teachers' conceptual change, as, for teachers' conceptual change, a certain degree of discomfort is required. Yet, anger, caused by lessoning teachers on their topic may cause repulse and hamper learning. What this paper adds?: With a computer algorithm, we can efficiently personalize refutation texts by automatically matching them to teachers' answers in a pre‐test. Such a personalized refutation instruction may especially foster conceptual change.Within a randomized experiment, the personalized refutation instruction worked best compared to common refutation texts and expository texts.Feelings of guilt and shame moderated the effect of a personalized refutation, as teachers felt more addressed in their misconceptions and thus experienced the required impasse experience.Feelings of anger did not play an important role within our experiment. The implications of study findings for practitioners: Computer algorithms enable efficient personalization of instruction to better deal with heterogeneous groups of learners (e.g., with big differences in prior knowledge or experience, such as in the case of in‐service teachers).Refutation texts work better for teachers when they are personalized. Common refutation texts do not work better than expository texts.An advantage of digital instruction is the use of algorithms to efficiently personalize instructions even for larger groups. [ABSTRACT FROM AUTHOR]

Background: Immersive VR is still rarely used as an intervention for meeting the affective end goals of student learning despite its positive impact on affection. Also, studies regarding the use of immersive VR as an intervention for affective achievement in broader educational contexts are still lacking. Objectives: This study aimed to examine the effect of immersive VR and perspective‐taking on presence and empathy. Methods: A total of 148 pre‐service teachers participated in experiments, using either a head‐mounted display or a flat screen device to view two VR videos with different perspective‐taking affordances. This study used a mixed design with one between‐subject variable of immersion level and one within‐subject variable of perspective‐taking to explore how immersive VR experiences influenced participants' perceived level of presence and empathy. Results and Conclusions: The results showed that the level of immersion affects perceived presence, but it was the type of perspective‐taking that affects empathetic reactions. We also found an interaction effect between immersion levels and perspective‐taking. The direct embodiment in VR combined with high immersion produced stronger empathy than with low immersion, while the perspective of an observer was better in evoking empathy when experienced with low immersion. Implications: This study gives a guidance on how to take advantage of this new technology in educational settings, and apply it to instructional activities to enhance students' empathy. In addition, it could serve as a reference when developing or introducing educational contents with respect to the types of contents that are more effective in educational settings. Lay Description: What is already known about this topic: The use of immersive virtual reality (VR) has gained increasing attention for its potential to increase students' engagement, interest, and motivation in education.The use of head‐mounted displays (HMDs) increases the level of perceived presence.Perspective‐taking promotes the development of empathy.The importance of empathy has been recently emphasized more in education. What this paper adds: The high immersive VR with an HMD increased the level of perceived presence among pre‐service teachers.The type of perspective‐taking provided in VR content affects the level of empathic reactions.The direct embodiment in VR combined with high immersion produced stronger empathy than with low immersionThe perspective of an observer was better in evoking empathy when experienced with the low immersive VR. Implications for practice and/or policy: Immersive VR when integrated into instructional practices would help students to develop empathy.It is important to select appropriate VR devices and content for designing interventions and maximizing educational benefits. [ABSTRACT FROM AUTHOR]

Background: Several attitude scales have been developed to measure students' attitudes toward computer programming, including the prominent one developed by Cetin and Ozden. The development of these scales stemmed from the elusive nature of attitude and the lack of specific constructs to measure attitude. These instruments measure students' attitudes based on one‐dimensional perspective, thus, making it difficult to interpret the meaning of some attitude evaluations such as the meaning of neutral points in a 10‐point scale (for example). Objectives: The computer programming attitude scale was modified to measure ambivalence. The study also investigate attitude differences across demographic variables and used these variables to predict ambivalence. Methods: The study was conducted in two phases. In the first phase, the instrument was validated using exploratory factor analysis and confirmatory factor analysis. In the second phase, the revised scale was administered to another 547 students in four research universities for empirical investigation. Results: Results show that the instrument is valid and suitable for measuring students' programming attitudes. Participants' attitudes skewed toward the negative attitude dimension. Lastly, we found that both attitude and ambivalence are factors of programming experience. Conclusions: We discussed the findings, recommend the instrument to programming tutors, and strongly emphasise the evaluation of students' ambivalent attitudes. Lay Description: What is currently known: There are numerous scales developed to measure students' attitude toward computer programming, such as the computer programming attitude scale (CPAS).The development of these inventories stemmed from the elusive nature of attitude and the lack of specific construct to measure attitude.These instruments measure students' attitude based on one dimensional perspective, thus, making it difficult to interpret the meaning of some attitude evaluations such as the meaning of neutral points in a 10‐point scale (for example). What this paper adds: The present research brings a novel approach to instrument development by acknowledging the presence of attitude toward computer programming.This novel approach advances the knowledge of instrument development in the field of attitude measurement by introducing a paradigm shift from conventional attitude evaluation to a more diverse approach.The study has introduced new items to the existing CPAS, and subsequently, indicates the possibility of validating an attitude inventory using data obtained from ambivalence evaluation.By using this instrument, students' attitude is measured accurately rather than adopting the conventional measures that ignored the presence of negative and positive evaluations. Implication to practitioners: Through the findings of the study, computer science and programming educators would come to know that many positive and negative attitude elements are occasionally subsumed toward an attitude object, thereby leading to an ambivalence attitude.The instrument can be used by the practitioners to accurately measure students' positive and negative attitude toward programming across all levels of education.Using the instrument, practitioners can predict the identified attitude using wide range of variables such as gender, age, computational thinking skills, programming proficiency levels, among others. [ABSTRACT FROM AUTHOR]

Background: Measurement of students' self‐regulation skills is an active topic in education research, as effective assessment helps devising support interventions to foster academic achievement. Measures based on event tracing usually require large amounts of data (e.g., MOOCs and large courses), while aptitude measures are often qualitative and need careful interpretation. Precise and interpretable evaluation of self‐regulation skills in a normal K‐12 classroom thus poses a challenge. Objectives: The present study proposes and explores a learning analytics method of combining aptitude and event measures to evaluate student's self‐regulation skills. Methods: An explorative learning analytics study was conducted in a junior high school mathematics class (N=20 students), using a three‐lesson intervention with digital learning materials. Students first assessed their self‐regulation skills with a self‐report questionnaire, after which trace logs and observations of student behaviour were collected. Learning sessions were extracted from trace logs, clustered, and linked to learning strategies. Students were clustered by the self‐report results and learning behaviour profiles. Session clusters, student behaviour clusters and assignment grades were also tested for association. Results and Conclusions: The detected session and student behaviour types were linked to learning tactics and strategies found in prior studies. Additionally, association was found between self‐reported self‐regulation skills and the student behaviour obtained from trace logs. Implications: The results demonstrate the feasibility of concurrently using aptitude and event measures on a classroom scale, providing teachers with a tool to evaluate and support self‐regulated learning. Combined with further measures like predictive learning analytics, teachers can obtain an early and highly interpretable picture of at‐risk students in their classes. Lay Description: What is already known about this topic: Active monitoring of self‐regulated learning skills is primarily standard in large courses and MOOCs.Aptitude measures for self‐regulated learning are commonplace but considered subjective.Event measures for self‐regulated learning are precise but require additional interpretation to link behaviour to learning.Prior studies demonstrated approaches to analysing student behaviour from trace logs. What this paper adds: Both measure types can be used to monitor student behaviour in a classroom actively over a low number of sessions.Event and aptitude measures complement each other by exposing discrepancies between students' behaviours and actions.Measuring self‐regulated learning actively in class can yield valuable information to select appropriate interventions. Implications for practice: Integrating aptitude and event measures in digital learning materials gives teachers quickly actionable information about student behaviour.Approaches to integrating learning analytics for self‐regulated learning in digital learning materials should be further developed.Data‐informed choice of self‐regulated learning interventions should be explored further. [ABSTRACT FROM AUTHOR]

Background: Knowledge of the structure and function of the human heart is fundamental to accurately understanding human physiology. As a complex biological system, naïve conceptions abound regarding cardiac anatomy and physiology for K‐12 learners and medical students alike. Objective: Textbooks and lectures, as well models and simulations, have had limited success in aiding learners in constructing accurate and cohesive knowledge of the human heart. Three dimensional (3D) modelling, haptic‐enabled (HE) feedback, and interactive virtual reality (VR) experiences aid tertiary learners, yet it is unknown if secondary learners benefit from learning with these technologies. Methods: An exploratory study examined secondary student knowledge of cardiac anatomy and physiology after participation in an interactive lesson on cardiac structure and function using a 3D, HE, VR technology system. Students from sixth grade (11–12 years old; n = 75) and ninth grade (14–15 years old; n = 76) completed a pre‐ and post‐assessment on cardiac knowledge, anatomy, and physiology punctuated by technology‐delivered instruction on the human heart. Results and Conclusions: Significant gains were found in knowledge from both groups in cardiac anatomy and blood circulation within the chambers of the heart; however, only ninth grade students demonstrated significant knowledge gains in pulmonary circulation. Takeaways: Results suggest that 3D HE VR technologies provide learners robust representations of and student‐driven interactions with complex biological systems that are innovative instructionally for strong conceptual and systematic learning. This study offers insight on technology‐assisted science visualizations for the promotion of knowledge acquisition and systems thinking of the human heart among secondary science students. Lay Description: What is already known: An ongoing challenge for science and medical educators alike is teaching their students about the human heart—its form, function, and how the heart is integrated into a larger body system for homeostasis.Three‐dimensional (3D), haptic‐enabled (HE) and virtual reality (VR) technologies (emerging technologies) provide robust visualizations to help improve learning among tertiary‐level learners, like undergraduate, graduate, and medical students.To what extent, if any, do younger secondary science learners (like students in the sixth and ninth grades) receive similar benefits when learning with emerging technologies. What this paper adds: Significant gains were found in cardiac knowledge from both sixth and ninth grade students in cardiac anatomy and blood circulation within the chambers of the heart.Sampled ninth grade students had significant knowledge gains in knowledge of pulmonary circulation, whereas the sixth graders did not.This study suggests that secondary students, like their tertiary level counterparts, are able to learn complex ideas about the human heart using emerging technologies for science learning, albeit those affordances in learning increase with age. Implications for practice: Secondary science learners benefit from visual and haptic stimuli, provided by emerging technologies, to acquire robust knowledge of the human heart.Middle school aged learners, more so than high school aged learners, may lack prior knowledge to connect their newly acquired knowledge of the human heart to the larger body system; additional scaffolding and teaching is needed for younger learners.Emerging technologies of 3D, haptics, and VR may provide new and robust means for teachers to aid secondary science students' learning of complex biological systems (like the human heart). [ABSTRACT FROM AUTHOR]

Background: When interpreting medical images such as dental panoramic radiographs (Orthopanthomogram, OPT), errors are frequent. Previous research has shown that eye movement modelling examples (EMME) are a supportive training method for medical image interpretation to reduce errors. To date, EMME support for OPTs has not been verified. Objectives: We investigated whether a training with EMME and verbal explanations supports dental students in evaluating OPTs. Methods: Dental students were randomly assigned to an intervention (N = 42) or a control group (N = 41). The intervention group received the EMME between pre‐ and post‐test. In a laboratory study, we measured students' gaze behaviour during evaluating OPTs and the detection rate of anomalies. Results and conclusions: The training led to fewer, shorter, and later fixations on anomalies and no difference in visual coverage of the OPT. The detection rate of anomalies did not improve. We replicated the latter finding in an online study (N = 31). Students may not have been able to apply the information from the EMME to detect anomalies. The image reading processes changed to more efficient rather than deeper visual search. Major takeaways: This study evaluated a training method with EMME for anomaly detection of OPTs. EMMEs did not improve the anomaly detection of dental students and changed their visual search process toward a more efficient rather than a deeper search. Lay Description: What is already known about this topic: Dental students and dentists commit many errors when interpreting radiographs.Validated interventions to support radiograph interpretations are lacking.Eye movement modelling examples (EMME) consist of videos showing an expert's gaze behaviour while performing a visual task.EMME improve processing of visual information in other domains (e.g., multimedia learning, chest x‐rays). What this paper adds: We investigated whether EMME improved detection of anomalies and gaze behaviour for dental students.Three EMME videos of dental experts explaining their behaviour and observations were presented to students.Studying the EMME videos did not improve the detection of anomalies.The gaze behaviour changed to a more efficient visual search. Implications for practice and/or policy: EMME do not seem to be effective as a short‐term intervention to improve anomaly detection for dental students.Further research is needed to develop effective training methods that could be applied in university teaching. [ABSTRACT FROM AUTHOR]

Background: The COVID‐19 outbreak came with an unprecedented opportunity to investigate how the new reality of social distancing and limited international travel will affect the organization of academic conferences. Objectives: Drawing on conceptualization of academic conferences as professional learning spaces, in this study, we examine the factors associated with the perceived value of purely virtual academic conferences and how such perceptions differ between participants from different research fields. The aim was to gain knowledge about factors that should be considered when designing a virtual conference. Methods: Survey data from participants of three different virtual conferences were collected (N = 311). Kendall's rank correlation and χ2‐analyses were performed. Results and Conclusion: Results show satisfaction with social interaction, the extent to which presentations met participants' topics of interest and the perceived importance of learning and getting an overview on the research topic to be related to the value rating. Researchers from different research fields differ significantly in their opinion about the most appropriate conference format regarding getting an overview on the research topic. For some researchers, virtual participation might be a valuable alternative to attending a conference in person. The study serves as a first attempt to understand how and for which target groups virtual conferences serve as a valuable learning event. Further research on this conference format is needed. Lay Description: What is already known about the topic: Prior to the pandemic only a few academic conferences were held purely virtual, thus scientific knowledge about this event format was rather scarce.Research on face‐to‐face conferences identified these events as platforms for networking and learning with a focus on social interaction.Mainly informal social interaction and networking is limited in the virtual space. What this paper adds: First insights how and for which target groups virtual conferences serve as a valuable learning event.Perceptions about the most appropriate conference format regarding certain conference aspects among researchers from different fields. Implications for practice: Formal interaction opportunities should be considered when designing a virtual conference.Virtual conferences are valuable events especially for those people, who focus on learning. [ABSTRACT FROM AUTHOR]

This study investigates a video game's effects on implicit and explicit attitudes towards depicted historical events in the short‐ and long‐term on a sample of 148 young adults. We used, as an intervention tool, a serious game Czechoslovakia 38–89: Borderlands that deals with the expulsion of the Sudeten Germans from the former Czechoslovakia after the WWII. Results showed more negative pretest‐posttest explicit attitude changes towards the expulsion on a general level (d = −0.34) and a specific level (d = −0.53) compared to the control group. Over the long‐term, group differences in attitude change remained significant for the specific level (d = −0.44), but not for general one (d = −0.16). Exploratory analysis on the item level indicated that especially attitudes towards the expulsion's (un)fairness were affected by the game. However, no significant changes were found in implicit attitudes in the experimental group. This study is the first of such scale to empirically investigate video games' effects on a society's historical awareness. Lay Description: What is currently known about the subject matter: No studies address video games' long‐term effects on both explicit and implicit attitudes.The research of video games' effects on short‐ and long‐term attitudes is generally limited.Video games can change short‐term explicit attitudes under certain circumstances.So far, the effect of video games on implicit attitudes has not been confirmed.There are no studies dealing with the effect of historical video games on attitudes. What our paper adds to this: The study is the first to combine long‐term explicit and implicit attitude measurements related to games.Our video game intervention affected explicit attitudes over the short term and partly over the long term.We have not confirmed the effect of our video game intervention on implicit attitude change.Based on our results, historical video games can affect short‐ and long‐term explicit attitudes. The implications of study findings for practitioners: Our study confirms that perspective‐taking can change players' explicit attitudes.We demonstrate that exploratory DIF‐C analysis can provide deeper understanding of the explicit attitude changes on the item level.Our results confirm that video games can affect a society's historical awareness.Our results suggest video games have an important role in our understanding of historical and social realities. [ABSTRACT FROM AUTHOR]

Background: Virtual reality can be a useful substitute to improve nursing education outside of the hospital setting. In the wake of COVID‐19, an opportunity to compare a virtual reality activity for nursing students in the traditional classroom and in an online environment took place. Objectives: The goal of this study was to examine the effects of incorporating a virtual reality activity into the traditional classroom and in an online environment to enhance nursing education. Methods: Fifty nursing students participated in an exploratory descriptive study. Twenty‐five students participated face‐to‐face while in the traditional classroom setting and 25‐students participated in an online environment using a communication platform. Through a virtual reality activity, nursing students successfully created a tour which demonstrated identifying infectious sites in a hospital room setting. Results and Conclusions: Results of the pre‐and post‐test showed students' positive perceptions and performances in both traditional classroom and online settings. However, the study revealed a statistical difference between the two group perceptions towards the use of the virtual reality tour creator. Nursing students who were in the traditional classroom group found that the use the virtual reality tour creator was easier. Implications: Designing a meaningful virtual reality activity has a positive impact of the student learning experience. Students may benefit from a more through orientation to the technology prior to engaging in the activity. A carefully constructed activity can enhance student learning outside of the hospital room. Lay Description: What is already known about this topic?: Virtual reality can be applied to nursing education with a positive impact on the student learning experience.Nursing students perceived the virtual reality learning activity useful to substitute for in‐hospital training. What this paper adds?: Virtual reality learning activities can help promote nursing performance in both the traditional classroom and online settings.Students can have similar academic performance between the classroom and online modes despite having different experiences. Implications for practice and/or policy: Virtual reality integration might be implemented by pre‐training to make sure students are comfortable with the technology before jumping into course activities.The instructional design and delivery of a virtual reality learning activity greatly influenced the students' learning experiences, rather than the use of virtual reality technology itself. [ABSTRACT FROM AUTHOR]