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

Background: This paper examines the use of augmented reality (AR) as a concept‐association tool in schools, with the aim of enhancing primary school students' learning outcomes and engagement. Conflicting findings exist in previous studies regarding the cognitive load of AR‐enriched learning, with some reporting reduced load and others indicating increased demand and poorer performance. Understanding these implications is essential for effectively leveraging AR in education. The study offers a fresh perspective on the potential of AR technology in improving educational experiences. Objectives: The primary goal of this research was to evaluate the effectiveness of an AR‐assisted concept‐association strategy for improving essential knowledge acquisition and skills outcomes, increasing cognitive load, and increasing self‐efficacy and learning motivation among primary school students. Methods: A quasi‐experimental design with a control group was employed to investigate the effectiveness of the intervention. Results and Conclusions: The results demonstrate that the implementation of the AR‐assisted concept‐association strategy effectively enhanced essential knowledge acquisition and skills outcomes, increased cognitive load, and increased self‐efficacy and learning motivation among primary school students. These findings highlight the potential of AR technology to improve the learning experience and engagement of primary school students. The study contributes to the existing literature on the effectiveness of AR technology in education, suggesting future research directions. Ultimately, it offers a practical solution for improving the learning experience by presenting a new approach for teaching using AR technology. Lay Description: What is currently known about this topic: Augmented reality (AR) technology has been increasingly explored in educational settings.Previous research has shown that AR can enhance learning outcomes and engagement among students.AR applications have the potential to serve as concept‐association tools to improve the learning experience. What this paper adds: This paper investigates the effectiveness of using an AR application as a mobile concept‐association tool in school settings.The study demonstrates that the AR‐assisted concept‐association strategy effectively enhances knowledge acquisition, skills outcomes, cognitive load, self‐efficacy, and learning motivation among primary school students.The findings highlight the potential of AR technology in improving learning experiences and engagement for primary school students.The study offers practical implications for integrating AR technology into educational settings, and suggests avenues for future research in this area. Implications for practice and/or policy: Incorporating AR applications as concept‐association tools can enhance learning outcomes and engagement in primary school settings.AR technology can be used to increase cognitive load, and to increase self‐efficacy and motivation among students.Educators and policymakers should consider integrating AR technology into teaching practices to improve the overall learning experience.Future research and exploration should be conducted to understand the full potential and limitations of AR technology in education. [ABSTRACT FROM AUTHOR]

Background: Both socially regulated learning and cognitive quality are important factors affecting collaborative knowledge building, but the current research lacks a joint quantified evaluation method that combines these two aspects. Objectives: Based on the existing framework, we proposed a joint evaluation method for regulated learning and cognitive quality in collaborative knowledge building, and further extracted the evaluation indicators. Methods: This study involved 74 learners enrolled in a course named 'the Application of Modern Educational Technology' as the subject of study, and made a case analysis with this method. Results and Conclusions: First, the indicators of this joint evaluation method could complement the indicators of traditional frequency statistics methods and facilitate an analysis of regulated learning and cognitive quality in collaborative knowledge building. Second, the group with a higher proportion of high‐level cognitive quality and socially shared regulation in collaborative knowledge building achieved better final scores. Finally, four types of groups were obtained through clustering: excellent, risky, mixed group, and highly collaborative group. This study introduced a joint evaluation method for regulated learning and cognitive quality in collaborative knowledge building and provides suggestions for future research. Lay Description: What is currently known about this topic?: Online collaborative knowledge building is increasingly important.Regulated learning and cognitive quality are considered very important for successful collaborative learning.Without quantitative methods, it is difficult to assess regulated learning and cognitive quality during collaborative knowledge building in a timely manner. What does this paper add?: This paper provided a joint evaluation method of regulated learning and cognitive quality (JERC) for online collaborative knowledge building.A case study was conducted to identify JERC's usefulness. Using descriptive statistics and visualization, it was determined that indicators of JERC can not only capture the state of cognitive quality and regulated learning status, but also elucidate the nature of that status (i.e., comprehensive, dynamic, cyclical).Through clustering analysis, four distinct groups were identified, each exhibiting different characteristics and moving patterns of regulated learning and cognitive quality over time. These patterns indicate that the quality of cognitive and regulatory learning cannot be determined solely by behavioural frequency. Moreover, an excessive proportion of individual regulation cannot predict better learning performance. Implications for practice: A computable representation model of regulated learning and cognitive quality was constructed to support automated perception and intervention in regulated learning and cognitive processing.With JERC, it is possible for researchers to capture, process, analyse and predict dynamic data to examine online collaborative knowledge building combined with shared physiological arousal events.The results of JERC can be used by researchers to develop advanced techniques, such as AI deep learning, for designing adaptive supports that can foster students' online collaborative knowledge building. [ABSTRACT FROM AUTHOR]

Background: Learner profiles detected from digital trace data are typically triangulated with survey data to explain those profiles based on learners' internal conditions (e.g., motivation). However, survey data are often analysed with limited consideration of the interconnected nature of learners' internal conditions. Objectives: Aiming to enable a thorough understanding of trace‐based learner profiles, this paper presents and evaluates a comprehensive approach to analysis of learners' self‐reports, which extends conventional statistical methods with psychological networks analysis. Methods: The study context is a massive open online course (MOOC) aimed at promoting physical activity (PA) for health. Learners' (N = 497) perceptions related to PA, as well as their self‐efficacy and intentions to increase the level of PA were collected before and after the MOOC, while their interactions with the course were logged as digital traces. Learner profiles derived from trace data were further examined and interpreted through a combined use of conventional statistical methods and psychological networks analysis. Results and Conclusions: The inclusion of psychological networks in the analysis of learners' self‐reports collected before the start of the MOOC offers better understanding of trace‐based learner profiles, compared to the conventional statistical analysis only. Likewise, the combined use of conventional statistical methods and psychological networks in the analysis of learners' self‐reports before and after the MOOC provided more comprehensive insights about changes in the constructs measured in each learner profile. Major Takeaways: The combined use of conventional statistical methods and psychological networks presented in this paper sets a path for a comprehensive analysis of survey data. The insights it offers complement the information about learner profiles derived from trace data, thus allowing for a more thorough understanding of learners' course engagement than any individual method or data source would allow. Lay Description: What is already known about this topic: Researchers have made extensive use of data from online learning platforms—often referred to as learning trace data—to understand how learners engage in online learning activities.Surveys are often used to gather information about learners' motivation, perceptions, and other internal factors, to complement the insight gleaned from learning traces and thus create a more complete picture of the learning behaviour.When analysing survey data, the focus is usually on individual factors without considering how different factors are connected and affect one another.Psychological networks analysis is a novel analytic approach to studying complex phenomena both in psychology and education. What this paper adds: The paper uses psychological networks as a method for examining mutual relations among learners' internal factors (e.g., motivation, perceptions) measured through self‐reports before and after a course.By combining conventional statistical analysis of self‐reports with psychological networks analysis, the paper develops a comprehensive picture of learners' internal factors measured through self‐reports, one that accounts for both individual and interconnected nature of those factors.This comprehensive approach to information extraction from surveys allows for better understanding of trace‐based learner profiles, that is, profiles mined from data about learners' interaction with online learning activities. Implications for practice and/or policy: The presented method paves a way for a comprehensive analysis of the data collected from learners through surveys.It helps us gain a better understanding of learners' engagement with online learning activities.It can advance the evaluation of digital educational programs that aim to encourage changes in health‐related behaviour. [ABSTRACT FROM AUTHOR]

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

Background: A practical test that measures the information and communication technology (ICT) skills students need for effectively using ICT in primary education has yet to be developed (Oh et al., 2021). This paper reports on the development, validation, and reliability of a test measuring primary school students' ICT skills required for effectively using ICT (the ECC‐ICT test). Objectives: Based on existing literature, three ICT use domains were identified for effectively using ICT: Effective, collaborative, and creativeuse of ICT. For these three domains, 24 corresponding teaching objectives were identified from a widely used digital literacy framework. Thirty‐four test items cover these teaching objectives in an online test. Methods: A mixed‐method approach was used for the ECC‐ICT test. Four pilot rounds (n=25) implemented qualitative interviews for cognitive validity and refining the test items, followed by a qualitative usability study(n=6). Confirmatory factor analysis and ANOVA provided quantitative insight into the large‐scale test administration(n=575). Results and Conclusions: Composite reliability of our conceptual 3‐factor confirmatory model showed that the test reliably measured primary school effective use of ICT (ω = 0.82), collaborative use of ICT (ω = 0.80) and creative use of ICT (ω = 0.64). Convergent validity (ranging from 0.41 to 0.46) was acceptable. Internal consistency (ranging from 0.84 to 0.91) and discriminant validity (HTMT values below 0.90) are good. ANOVA results show that mean test scores are higher for students in higher grade levels (p < 0.001). The post hoc Bonferroni results show that most grade‐by‐grade comparisons are significant (p < 0.001). Lay Description: What is already known about this topic: Information and communication technology (ICT) skills are finding their way into national curriculums as teachers implement more digital learning environments.Teachers currently do not have a measurement instrument for the ICT skills primary education students need to learn in a personalised way. What this paper adds: This paper gives teachers a test that reliably measures the effective, collaborative, and creative ICT skills required for primary school students to learn using ICT.To our knowledge, this test is the first of its kind.Al materials to reproduce the test are available digitally for teachers. The implications of study findings for practitioners: For policy, this test can be used to check if a student is ready to use ICT in a self‐regulated setting.With this test, teachers can assess and support students' growth on the effective, collaborative, and creative ICT skills required for primary school students using ICT. [ABSTRACT FROM AUTHOR]

Background: Many instructors transitioned their courses from face‐to‐face environments to computer‐mediated learning environments (CMLEs) following the onset of the coronavirus disease 2019 (COVID‐19) pandemic. However, little was known about how teleconferencing platforms and their corresponding functions affect student learning when the COVID‐19 pandemic began. Objectives: The aim of this study was to provide more clarity on the conditions through which online teleconferencing platforms influence student achievement. More specifically, this study investigated how displaying lecture‐relevant and lecture‐irrelevant messages in a chat box during a video lecture delivered via the Zoom teleconferencing platform affected student learning and note taking. Methods: Participants viewed the video lecture either with (relevant or irrelevant) or without messages appearing in the chat box of the Zoom window. Participants completed a learning test immediately following the lecture. Results and Conclusions: No difference regarding student achievement was observed between the three groups. However, results revealed that students in the relevant‐lecture messages group reported a higher extraneous cognitive load than the other groups even if they reported positive attitudes about the messages appearing on the chat box. Students in the lecture‐relevant group also recorded more notes during the lecture compared to the two other groups, but this result did not reach significance. This study extends previous research that investigated how messaging influences learning in classroom settings. Findings suggest that allowing relevant discussions is not the best strategy to promote learning in CMLEs as this information seems to compete with the other relevant information being presented during the ongoing lecture. Lay Description: What is already known about this topic: In video lectures, the chat box has been identified as the function most often used to support students' learning.Responding to lecture‐relevant messages can enhance students' learning.However, it remains unknown how simply reading, but not responding to, lecture‐relevant and lecture‐irrelevant messages can affect learning and note taking. What this paper adds: In previous studies, researchers examined how messaging affects learning in a classroom setting, but not within a computer‐mediated lecture environment.The present study extends previous research that investigated how messaging influences learning in classroom settings.This study provides more clarity on the conditions through which online teleconferencing platforms affect student learning and note taking.Findings suggest that allowing relevant discussions is not the best strategy to promote learning in CMLEs as this information seems to compete with the other relevant information being presented during the ongoing lecture. Implications for practitioners: The features of video lectures are critical factors, as they influence students' learning and should therefore be taken into account when designing educational materials.Instructors should not allow students to engage in lecture‐relevant and irrelevant messaging and discussion during video lectures as it competes with the other relevant information being presented. [ABSTRACT FROM AUTHOR]

Background: Virtual reality (VR) offers significant potential for hands‐on learning environments by providing immersive and visually stimulating experiences. Interacting with such environments can bring numerous benefits to learning, including enhanced engagement, knowledge construction, and higher‐order thinking. However, many current VR studies in hands‐on learning tend to utilise one‐way learning materials, limiting participants' ability to interact with and reflect on their actions and learning experiences. Moreover, these studies often neglect to assess learners' capacity to transfer their skills from VR learning to real‐world scenarios. Therefore, this study aims to investigate participants' engagement, learning outcomes, higher‐order thinking, and their ability to apply acquired skills in real‐world contexts. Method and Objective: Participants were immersed in a hands‐on learning environment in VR, where they received feedback and engaged in reflection during the learning process. This study recruited 68 university students to participate in the experiment, employing a quasi‐experimental design. Participants experienced learning units both with and without reflection on the feedback. The theme of these learning units was related to embedded systems, encompassing topics such as the assembly of embedded components and Python programming. The investigation aimed to assess whether reflection in VR could enhance cognitive levels, engagement, real‐world hands‐on tasks abilities, and higher‐order thinking. Results: The research results indicate that in the VR hands‐on learning environment, participants engage in reflection through the provided feedback, effectively enhancing their engagement, cognitive levels, and hands‐on task abilities. Simultaneously, it also successfully assists participants in developing problem‐solving skills and critical thinking in higher‐order thinking. Conclusions: Participants actively engaged in reflection on their own learning tasks and actions within the hands‐on learning environment, enabling them to develop a deeper understanding of the learning material and enhance their real‐world hands‐on tasks abilities, we encourage the integration of reflection strategies in VR learning environments for hands‐on learning, as they can yield positive benefits for learners. Lay Description: What is already known about this topic: Virtual reality learning environments can enhance students' cognitive levels.Higher‐order thinking has a significant impact on hands‐on learning.Reflection has an important influence on the cognitive process. What this paper adds: Providing reflection through feedback in a virtual reality environment increases learning engagement and promotes higher‐order thinking.Reflection in virtual reality enhances cognitive levels and practical abilities. Implications for practice and/or policy: We demonstrated the effectiveness of providing reflection through feedback in a VR hands‐on learning environment.Learners, through reflection in VR, enhance higher‐order thinking, engagement, cognitive levels, and practical abilities. What are the 1 or 2 major takeaways from the study: Providing reflection in VR learning environments used for training or hands‐on learning can effectively promote cognitive levels, engagement, higher‐order thinking abilities, and practical skills.Through VR reflection, we reveal the potential of cultivating higher‐order thinking through VR. [ABSTRACT FROM AUTHOR]

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

Background: Immersive virtual reality (IVR) is a new technology that could motivate learners, but also could contain distracting elements that increase cognitive demands on learners. In contrast, learning with conventional media, such as a narrated slideshow could be less motivating, but also less distracting. Objectives: This experiment investigates: (1) in what situations executive function and working memory capacity play a role in learning in IVR and a slideshow lesson and (2) whether people learn science content better with IVR or with a narrated slideshow lesson. Method: Participants watched a lesson on ocean acidification either using a head‐mounted display IVR device or a pre‐recorded narrated slideshow lesson. A week later, they took a test on this material and completed tasks to assess executive function and working memory capacity. Results and Conclusion: On a post‐test, there was no difference between IVR and slideshow lessons, but there were differences in the role of executive function in learning with these two media. For students learning in IVR, executive function correlated significantly with post‐test scores, such that learners with stronger executive function did better on the posttest than those with weaker executive function, while for students learning with a slideshow lesson, executive function and working memory capacity did not correlate significantly with posttest scores. This research indicates that it is important to understand how a learner's attentional controls impact their understanding when using IVR for learning. Lay Description: What is already know about this topic: Immersive virtual reality increases demands on cognition for learners.Immersive virtual reality for learning has inconsistent effects in prior research.Executive function and working memory capacity are important components in processing material while learning. What this paper adds: Research focused on the role individual differences play in learning with technology.Using common cognitive assessments to understand the process of learning better. Implications for practice and/or policy: Executive function predicted test score for an immersive virtual reality lesson.Use of immersive technology needs to take into account executive function to reduce potential inequity in learning. [ABSTRACT FROM AUTHOR]

Background: Introducing new technologies in education sparks debates, disrupting traditional practices, and requiring teacher adaptation. ChatGPT is an example. Research explores its benefits and concerns in education, with recommendations for classroom use. Nevertheless, limited evidence supports ChatGPT as a tool for supporting English as a Foreign Language (EFL) students' research competency. Moreover, while the literature primarily focuses on the perspectives of scholars and teachers, it is essential to incorporate students' viewpoints in order to maximize the potential of this technology. Objectives: The present study investigated EFL undergraduates' perceptions and practices of ChatGPT as a tool for promoting their research competency. Additionally, the study examined the potential influence of metacognitive awareness (MA) levels in this context. Methods: The study utilized a mixed‐method research design, collecting quantitative and qualitative data from 27 EFL undergraduates (12 with low MA and 15 with high MA) over one semester. Data sources included a self‐report questionnaire, self‐study log, and semi‐structured interviews. Results and conclusions: Quantitative analysis showed significant differences between low and high MA groups in their perceptions of ChatGPT (U = 37.500, Z = 2.570). Regression analysis revealed a positive correlation between MA scores and students' perceptions and practices of ChatGPT. Qualitative analysis revealed diverse perceptions and practices of ChatGPT between the high MA and low MA groups, showcasing behaviours ranging from replication to using ChatGPT as a thought‐stimulating and supportive tool, accessing supplementary information, and seeking guidance. Key factors for effective ChatGPT use included prompt formulation, systematic thinking, self‐regulation strategies, and trust in AI. Lay Description: What is currently known about this topic: Research competency and metacognitive awareness are important for EFL undergraduates.Technology has been explored for promoting research competency.ChatGPT is used as a learning tool in EFL instruction contexts. What does this paper add: It provides a deeper understanding of the practical application of AI tools like ChatGPT for developing research competency among EFL students.It enhances understanding of metacognition's role in successful learning in digital environments by exploring MA's impact on using ChatGPT for research purposes. Implications for practice/policy: Provide explicit instructions and guidelines for EFL students to effectively use ChatGPT for research competency, emphasizing clear prompt design and fostering responsible use through critical thinking and awareness of biases and limitations.Enhance EFL students' metacognitive awareness through scaffolding, explicit instruction, and activities.Implement assessments and monitoring mechanisms to track metacognitive development and guide instructional interventions.Offer professional development opportunities for EFL teachers to enhance their understanding and skills in integrating AI tools into research instruction and other EFL aspects. [ABSTRACT FROM AUTHOR]

Background: Digital texts are progressively becoming the medium of learning for students, but research has indicated that students tend to process information more superficially while reading on screen. It is therefore relevant to examine what strategies can support digital text comprehension. Objectives: This study aimed to investigate the effects of highlighting—both learner generated and experimenter provided—when reading digitally. Methods: University students (N = 170) were randomly assigned to the condition of learner‐generated highlighting, experimenter‐provided highlighting, or control. Reading outcomes were measured as literal and inferential text comprehension, transfer of knowledge, and metacognitive calibration of comprehension performance at immediate and delayed post‐tests. Individual differences in prior knowledge, cognitive reflection, and reading self‐efficacy were taken into account. The quality of the information highlighted by students in the condition of active highlighting was also measured. Results: From linear mixed‐effects models, the main effect of condition did not emerge for any of the outcomes. However, an interactive effect of condition and cognitive reflection emerged for literal text comprehension that favoured readers in the condition of experimenter‐provided highlighting with higher ability to resist automatic thinking. Inferential text comprehension, transfer of knowledge, and calibration of performance were only predicted by cognitive reflection or reading self‐efficacy. Finally, the quality of information highlighted significantly contributed to students' literal text comprehension and transfer of knowledge in the learner‐generated highlighting condition. Takeaways: Active highlighting is not effective per se during digital reading. The "amplification" effect of already highlighted text and higher cognitive reflection suggests that readers who are more able to resist automatic thinking may also invest more effort in the task, taking more advantage of the provided support. Even if active highlighting may not be effective per se compared to other reading conditions, what students highlight contributes to literal text comprehension and their learning from text. Lay Description: What is already known about this topic: Reading on a screen to learn new content for academic assignments is a typical learning activity for todays' students.For digital reading students tend to adopt a more superficial approach compared to traditional reading.Reading strategies can help readers to comprehend complex digital texts.Highlighting is a technically simple strategy to use for digital reading, which can at least support the selection of relevant information for text comprehension. What this paper adds: When considering digital reading neither learner‐generated highlighting nor experimenter‐provided highlighting is effective by itself.Experimenter‐provided highlighting is more effective for literal text comprehension than learner‐generated highlighting when combined with readers' ability to cognitively reflect and resist more automatic responses.The individual differences of cognitive reflection and reading self‐efficacy predicted inferential text comprehension and transfer of knowledge.Reading self‐efficacy also predicted readers' metacognitive calibration of comprehension performance (accuracy of self‐judgements of comprehension performance). The implications of study findings for practitioners: The effective use of highlighting for text comprehension probably requires some explicit instruction and practice in learning devices.The potential benefits of either learner‐generated highlighting or experimenter‐provided highlighting should be considered in relation to cognitive and motivational individual differences.It is important to create or refine readers' awareness that the quality of the information they highlight matters as it is associated with their text literal text comprehension and transfer of knowledge. [ABSTRACT FROM AUTHOR]

Background: Formative online multiple‐choice tests are ubiquitous in higher education and potentially powerful learning tools. However, commonly used feedback approaches in online multiple‐choice tests can discourage meaningful engagement and enable strategies, such as trial‐and‐error, that circumvent intended learning outcomes. These strategies will not prepare graduates as self‐regulated learners, nor for the complexities of contemporary work settings. Objectives: To investigate whether providing only a score after formative online multiple‐choice test attempts (score‐only feedback) increases the likelihood of students to engage in self‐regulated learning compared with more directive feedback. Measurable outcomes included deeper learning, collaboration, information seeking, and satisfaction. Methods: Data in this mixed methods study were collected from nursing students through surveys, test results, focus groups, and student discussion board contributions. A quasi‐experimental design was used for quantitative data, and qualitative data were analysed thematically against domains of self‐regulated learning. Results and Conclusions: Students receiving score‐only feedback were more cognitively engaged with the content, collaborated constructively, and sought out richer sources of information. However, it was also associated with lower satisfaction. In this study, minimal feedback created states of uncertainty, which resulted in the activation of self‐regulatory actions. Implications for Practice: Providing overly directive feedback for formative online multiple‐choice tests is conducive to surface‐level learning strategies. By minimising feedback and allowing for extended states of uncertainty, students are more likely to regulate their learning through self‐assessment and problem‐solving strategies, all of which are required by graduates to meet the challenges of real‐world work settings. Lay Description: What is already known about this topic: Formative online multiple‐choice tests are widely used in higher education.Feedback is a critical element in the design of effective online multiple‐choice tests.Formative feedback should promote self‐regulated learning.Feedback types used in multiple‐choice tests facilitate strategies not conducive to self‐regulation. What this paper adds: Online multiple‐choice test feedback can influence how students self‐regulate their learning.Less feedback can result in greater self‐evaluation and performance in summative assessment.Less feedback can encourage richer help‐seeking strategies (collaboration and information seeking).However, less feedback can result in student dissatisfaction. Implications for practice and/or policy: Judicious use of feedback is required in the design of online multiple‐choice tests.Educators should consider providing less feedback to promote learner self‐regulation.Satisfaction with online multiple‐choice tests does not necessarily equate to greater learning. [ABSTRACT FROM AUTHOR]

Background: In today's society, a growing body of literature attests to the importance of young children's early digital literacy skills in their home environments and how acquisition of these digital literacy skills relates to their future learning and digital literacy. Objectives: Research on young children's digital literacy practices at home was reviewed to explore the positive and negative influences on early learning. This is important due to the children's rapid uptake of online digital technologies over the past decade. Methods: Peer‐reviewed research articles on home digital literacy practices of children (aged 0–8 years old) published between 2010 and 2021 from four education databases were carefully selected based upon pre‐determined criteria and examined using content analysis. Results and Conclusion: A high proportion of studies (29 of the 31; 93.5%) demonstrated significant benefits of young children gaining a range of skills, including digital operational, early literacy and language, socio‐emotional, and STEM, through the use of digital technologies at home. Five of the 31 (16.12%) studies reported negative effects of digital technologies in the home context, including distraction, aggressive behaviour, and false self‐confidence. Tablets and smartphone use gained greater momentum in the home context, especially between 2015 and 2021, and there was a positive shift in parental mediation, family involvement, and the children's home digital literacy practices. Implications: By leveraging children's acquisition of digital literacy skills in the home and taking into account the sociocultural context, we can enhance young children's preparation for the future and provide opportunities for skill development across various learning domains. Lay Description: What is already known about this topic: The literature shows use of tablets in the home by children have gained momentum.Parents have different attitudes towards using digital technologies in the home context.Parents have used different mediation strategies to control, supervise and support their children's home digital literacy practices. What this paper adds: Within the past decade, parents have extended their mediation strategies to support their children's home digital literacy practices.Young children move from early digital literacy to proficient digital literacy within the home.Home digital literacy practices can foster important skills in young children such as language and literacy, operational, socio‐emotional, and STEM.Artificial intelligence devices such as smart robots are extending children's home digital literacy practices. Implications for practice and/or policy: Understanding the sociocultural differences of young children can help parents, teachers, and policymakers to facilitate digital literacy skill acquisition.Fostering young children's basic language literacy, operational, socio‐emotional, and STEM skills through technology use in the home before formal education is essential.Extending young children's home digital literacy practices to other contexts such as the classroom is necessary. [ABSTRACT FROM AUTHOR]