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The piece "Managerialist control in post-pandemic business schools: The tragedy of the new norm", by [2], shares an example of post-pandemic management in Australian business schools that, according to the authors, may have best been "dropped" for good. If business schools are going to build back a stronger educational experience after the pandemic, we must develop the capacity to adapt to the changing world of work and the specific needs of the students we are preparing to face it. As it relates to our field, the research we as scholars are doing to make sense of how COVID-19 has impacted the environment of management learning and education arguably also alters that environment ([20]). Making Sense: Dropping and Acquiring in Post-Pandemic Management Learning and Education. [Extracted from the article]

With the increasing prevalence of technology-enhanced learning environments, self-regulated learning (SRL) has become a crucial skill for management students and graduates in the 21st century. Self-regulated learners can take control of their own learning process by setting learning objectives and selecting appropriate learning strategies. As a result of the recent COVID-19 crisis, universities were compelled to shift to online course delivery, which greatly reduced social interaction between educators and learners and challenged educators' feedback practices. To address this issue, we developed and embedded a technology-based intervention with temporal-proximate and regular formative feedback assessments in a large-scale management course to promote graduate students' SRL practices. We evaluated the intervention in a quasi-experiment, which found that students with the embedded SRL intervention had higher self-assessment and learning outcome scores and lower absolute self-assessment deviation. Our study makes at least three contributions. First, we shed light on students' SRL strategies in times of emergency remote learning, highlighting their extensive need for social support and comparison. Second, we extend the literature on SRL and social-cognitive theory by unveiling a hidden effect when embedding temporal-proximate and regular interventions. Third, we contribute an empirically evaluated intervention to foster students' SRL in blended learning and online pedagogies. [ABSTRACT FROM AUTHOR]

Introduction: There is a growing concern about the threat of distractions in online learning environments. It has been suggested that mindfulness may attenuate the effects of distraction. The extent to which this translates to academic performance is under investigation. We aimed to investigate the relationship between task-irrelevant visual distraction, time pressure, and mindful self-regulated learning in the context of a low-stake computer-based assessment. Methods: The study sampled 712 registered users of Prolific.co who were prescreened, current undergraduate university students. After data quality screening, 609 were retained for analyses. A 2 x 2 between-subjects design was used. Participants were randomly assigned to the following groups: (1) a control condition, (2) a distract condition, (3) a time pressure condition, or (4) a distract and time pressure condition. All participants completed reading comprehension questions, demographic questions, and the Mindful Self-Regulated Learning Scale. Results: Presenting a visual distraction increased self-reported distraction and having a clock present increased self-reported time pressure. The distraction did not have a statistically significant effect on test performance. Mindfulness was negatively correlated with test performance, self-reported distraction, and self-reported time pressure. Discussion: Continuous task-irrelevant visual distractions may not be distracting enough to influence low-stakes testing performance, but they do influence self-perceptions. [ABSTRACT FROM AUTHOR]

Background: Self‐regulation is crucial for children's learning and development. Several studies have explored children's inter‐individual differences in self‐regulation, but little is known about sources of intra‐individual variation. Aims: This study addressed the variability of children's self‐regulation across typical classroom situations and how this might be associated with children's executive functions (EFs). Sample: The study included 148 children (54.7% girls; Mage = 56.73 months). Methods: Self‐regulation was assessed with an observational measure in teacher‐led and child‐led activities within naturalistic classroom settings. Children's EFs were assessed with direct assessments at the start and end of the school year. Results: Linear mixed‐effect models showed that children demonstrated higher levels of self‐regulation in child‐led in comparison with teacher‐led activities. Children with higher levels of EFs at the start of the school year showed less variation across teacher‐led and child‐led activities in comparison with children with lower levels of EFs. Regarding other aspects of the classroom context, neither the group size in which the activity took place nor which school subject it was focused on were associated with children's self‐regulation. However, in teacher‐led activities the type of interaction involved in the activity and the type of task influenced children's self‐regulation. Conclusion: These results suggest that children who start school with higher levels of EFs are more able to adapt to different situations, highlighting the importance of fostering these skills in early childhood. In turn, children with lower levels of EFs may need additional support from teachers to remain self‐regulated across different contexts. [ABSTRACT FROM AUTHOR]

This article discusses the field of Learning Analytics and the need for practical applications and evidence of its effectiveness in real learning environments. The article presents six papers that cover a range of academic disciplines and utilize different types of data. The first group of papers focuses on traditional data sources and aims to identify students who need assistance and provide guidance to improve their learning processes. The second group of papers utilizes data from various sources, such as physical and physiological signals, to enhance the understanding and improvement of interactions during collaborative work and learning. The article concludes by stating that this special section provides a starting point for those interested in reproducible ideas and validated tools in the field of Learning Analytics. [Extracted from the article]

Even highly motivated undergraduates drift off their STEM career pathways. In large introductory STEM classes, instructors struggle to identify and support these students. To address these issues, we developed co‐redesign methods in partnership with disciplinary experts to create high‐structure STEM courses that better support students and produce informative digital event data. To those data, we applied theory‐ and context‐relevant labels to reflect active and self‐regulated learning processes involving LMS‐hosted course materials, formative assessments, and help‐seeking tools. We illustrate the predictive benefits of this process across two cycles of model creation and reapplication. In cycle 1, we used theory‐relevant features from 3 weeks of data to inform a prediction model that accurately identified struggling students and sustained its accuracy when reapplied in future semesters. In cycle 2, we refit a model with temporally contextualized features that achieved superior accuracy using data from just two class meetings. This modelling approach can produce durable learning analytics solutions that afford scaled and sustained prediction and intervention opportunities that involve explainable artificial intelligence products. Those same products that inform prediction can also guide intervention approaches and inform future instructional design and delivery.Practitioner notesWhat is already known about this topicLearning analytics includes an evolving collection of methods for tracing and understanding student learning through their engagements with learning technologies.Prediction models based on demographic data can perpetuate systemic biases.Prediction models based on behavioural event data can produce accurate predictions of academic success, and validation efforts can enrich those data to reflect students' self‐regulated learning processes within learning tasks.What this paper addsLearning analytics can be successfully applied to predict performance in an authentic postsecondary STEM context, and the use of context and theory as guides for feature engineering can ensure sustained predictive accuracy upon reapplication.The consistent types of learning resources and cyclical nature of their provisioning from lesson to lesson are hallmarks of high‐structure active learning designs that are known to benefit learners. These designs also provide opportunities for observing and modelling contextually grounded, theory‐aligned and temporally positioned learning events that informed prediction models that accurately classified students upon initial and later reapplications in subsequent semesters.Co‐design relationships where researchers and instructors work together toward pedagogical implementation and course instrumentation are essential to developing unique insights for feature engineering and producing explainable artificial intelligence approaches to predictive modelling.Implications for practice and/or policyHigh‐structure course designs can scaffold student engagement with course materials to make learning more effective and products of feature engineering more explainable.Learning analytics initiatives can avoid perpetuation of systemic biases when methods prioritize theory‐informed behavioural data that reflect learning processes, sensitivity to instructional context and development of explainable predictors of success rather than relying on students' demographic characteristics as predictors.Prioritizing behaviours as predictors improves explainability in ways that can inform the redesign of courses and design of learning supports, which further informs the refinement of learning theories and their applications. [ABSTRACT FROM AUTHOR]

Help seeking has traditionally been studied in face‐to‐face settings using self‐report instruments measuring learners' internal inclinations for help seeking (eg, perceived benefits and threats). Much less is known about help seeking in online learning. Furthermore, external environmental factors such as a positive climate were found to encourage help seeking. Utilizing peer‐help analytics as well as self‐report measures, this study simultaneously modelled the structural relationships among students' perceived class climate, internal help‐seeking inclinations, help‐seeking engagement, participation in peer help and performance in an online class. Results from structural equation modelling indicated that students' perceived goal structure of an online class had a significant influence on their internal help‐seeking inclinations, which subsequently affected their help‐seeking engagement, participation in peer help and learning outcomes. Instructors of online classes should pay particular attention to fostering a mastery‐oriented climate in order to encourage help seeking and improve academic performance. Practitioner notesWhat is already known about this topic Help seeking is important for academic success.Due to a variety of individual and contextual factors, students often do not seek help despite the need.Existing research on help seeking focuses on the face‐to‐face setting and relies on self‐report measures.Students' help‐seeking inclinations and patterns may differ between in‐person classes and the online environment.What this paper adds This study examined help seeking in an online class through self‐report measures and objective analytics data.This study modelled the structural relationships among the external climate of an online class, students' internal help‐seeking inclinations, engagement in help seeking, participation in peer help and course performance.Structural equation modelling found that the goal structure of an online class influenced students' internal help‐seeking inclinations.Online students' internal help‐seeking inclinations affected their grades through their participation in help seeking.Implications for practice and/or policy A mastery‐oriented class climate elicits online learners' positive help‐seeking inclinations while discouraging negative ones.The design and teaching of online classes should aim to foster a mastery‐oriented climate.Online classes should offer peer‐help opportunities and encourage student participation, which is conducive to academic performance. [ABSTRACT FROM AUTHOR]

In foreign language learning, it is important that learners become autonomous and learn how to self‐regulate their learning to continue language development. This article presents a self‐evaluation procedure designed to promote self‐regulation in speaking skills in a foreign language. This self‐evaluation procedure was tested in a quasi‐experimental study among 329 secondary school students in the Netherlands to investigate to what extent changes occurred in students' self‐regulation of their speaking skills and to what extent students perceived the self‐evaluation procedure as motivating and adaptive to their needs. The results showed that shifts were found in the focus of students' diagnoses and improvement plans for their own speaking performances. It was also found that the perceived need for teachers' assistance decreased. Moreover, students found support to be adaptive and appreciated the activities in the self‐evaluation procedure—especially producing and executing an improvement plan. In conclusion, this study contributes to the development of knowledge about guiding students' self‐regulation of speaking skills by adding concrete design principles to realize such a learning process. [ABSTRACT FROM AUTHOR]

Self-regulated learning (SRL) and executive functions (EF) are broad concepts stemming from different research areas. They have been defined and modeled in various ways and are repeatedly related to each other in the literature, but so far, no systematic analyses of these relations have been published. Therefore, a systematic analysis of their relationships described in the literature was conducted. Nineteen studies were synthesized concerning different categories (age groups, measurement methods, role of metacognition, relation to achievement, and longitudinal/intervention studies). In general, primarily low to moderate correlational relationships between SRL and EF were reported, with no detectable pattern depending on the age group. Measurement methods used to capture SRL and EF seem to influence the size of the correlations, with indirect measures correlating higher than direct/indirect measures. In addition, there is evidence that metacognition mediates the relationship between EF and SRL. In general, the notion that EF predicts SRL but not vice versa is supported. Following the systematic review, the results are critically discussed in the light of non-generalizable samples, measurement methods, and results interpretation issues. Suggestions for theory building and promising future research are given. [ABSTRACT FROM AUTHOR]

Retrieval practice can reduce associative memory deficits for older adults but they underutilize this potent learning tool during self-regulated learning. The current experiment investigated whether teaching older adults to use retrieval practice more can improve their self-regulated learning. Younger and older adults made decisions about when to study, how often to engage in retrieval practice, and when to stop learning a list of medication-side effect pairs. Some younger and older adults received instructions before learning that emphasized the mnemonic benefits of retrieval practice over restudying material and described how to schedule retrieval practice to learn to a goal criterion level. This minimal intervention was effective for improving both younger and older adults' associative memory. These data indicate that a simple strategy for improving older adults self-regulated learning is to provide them with instructions that teach them how to use criterion learning to schedule their retrieval practice for to-be learned material. [ABSTRACT FROM AUTHOR]

This article examines the relationship between metacognition and data-driven learning (DDL) in second language (L2) classrooms. While the use of DDL has been shown to be beneficial for L2 learning, there is still a need to understand how it interacts with the learning process. The article suggests that metacognition, which involves thinking about thinking and self-regulated information processing, may play a role in mediating the learning impacts of DDL tools. It also discusses how metacognitive knowledge and regulation can enhance the learning process. The author proposes future research directions to further explore this relationship. [Extracted from the article]

Health sciences students face many challenges in regard to clinical practical learning. A better understanding of student learning is required to address student needs in this crucial phase. The theory of self-regulated learning provides a comprehensive view of learning and could serve as a basis for further research. There are instruments to assess self-regulated learning in preclinical academic learning. However, there are no such instruments for workplace learning. The aim of the present study is to provide a comprehensive inventory from which researchers can select those scales that are relevant to their research questions in the investigation of workplace learning. Hence, the aim is to develop and validate a set of scales to assess undergraduates' workplace learning in health sciences education in four areas (cognition, motivation, emotion, and context) on two levels (the learning process level and the metalevel). Study 1 is a qualitative multimethod study to identify indicators and develop items. It integrates the perspectives of students, teachers, and researchers and includes six steps: literature review, interviews, synthesis, item development, expert review, and cognitive pretesting. This study yields a set of scales for each area on both levels. Study 2 is a quantitative study to assess the psychometric properties. The results show acceptable values in terms of unidimensionality, reliability and validity for each of the 31 scales. The newly developed Workplace Learning Inventory is comprehensive; the scales are relevant to workplace learning and short enough that their administration is feasible in the workplace setting. The rigorous process of questionnaire development contributes to the validity of scales. By providing the Workplace Learning Inventory, we hope to encourage research on workplace learning in health sciences education from an educational psychology perspective. [ABSTRACT FROM AUTHOR]

This study examines the phenomenon of learner behavior change in synchronous and asynchronous online learning environments. The article assesses the level, stage, reasons, and impact of change among online learners. To facilitate systematic analysis, a set of comparison parameters has been developed. These parameters include success and failure rates, mode and location of learning, level of interaction, group and individualized learning, courses with practical exercises, economic factors, self-regulated learning, indicators of change, technological tools, learner satisfaction, and the impact of a blended learning model. Overall, this article contributes to the understanding of online learners' behavioral changes and provides valuable information to educators, administrators, and online education providers for designing effective online learning environments. The identified parameters can serve as a foundation for future research on how synchronous or asynchronous modes can either enhance or hinder the overall learning experience of online learners. [ABSTRACT FROM AUTHOR]

This study explores the relationship between approaches to learning and self-regulation of learning. Approaches to learning characterise students’ intentions and strategies regarding learning and studying, divided into deep and surface approaches together with organised studying. Self-regulation of learning is a process of monitoring and directing one’s affect and behaviour in learning. It is known that self-regulation correlates with approaches to learning, but the direction of influence has not been demonstrated empirically. Measurements were taken in a first-year mathematics course on 103 Finnish undergraduates. Cross-lagged panel analysis was used to study the direction of time-lagged influence. The results revealed that significant influence existed from self-regulation to deep approach and organised studying, and from lack of regulation and external regulation to surface approach. Based on the results, we conclude that it is important for researchers and practitioners to take self-regulation into consideration when measuring approaches to learning or designing interventions. [ABSTRACT FROM AUTHOR]

The present systematic review provides an overview and analysis of methodological underpinnings of self-regulated learning (SRL) research in ESL/EFL contexts. A search of five academic databases was conducted for studies published from 2017 to 2022. Adopting Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, the search yielded 31 studies conducted in various countries and educational settings. Informed by a 16-item coding scheme, the analysis found that SRL research is more nested within higher education. The results provided evidence to substantiate the idea that quantitative approaches towards SRL research is in the ascendency. Experimental and survey designs were identified as the most preferred research designs. The results revealed an absolute dominance of questionnaire/scale as the most frequently utilised data collection instrument. As for data analysis software, SPSS and Mplus were applied in the majority of studies. The results demonstrated that correlation, confirmatory factor analysis (CFA), and structural equation modelling (SEM) were among the most widely applied statistical tests. Finally, writing, compared to other language skills/subskills, was found to receive a surge of interest in SRL research. The study concludes with some suggestions for further future research. [ABSTRACT FROM AUTHOR]

The emergence of chatbots and language models, such as ChatGPT has the potential to aid university students' learning experiences. However, despite its potential, ChatGPT is relatively new. There are limited studies that have investigated its usage readiness, and perceived usefulness among students for academic purposes. This study investigated university students' academic help-seeking behaviour, with a particular focus on their readiness, and perceived usefulness in using ChatGPT for academic purposes. The study employed a sequential explanatory mixed-method research design. Data were gathered from a total of 373 students from a public university in Malaysia. SPSS software version 27 was used to determine the reliability of the research instrument, and descriptive statistics was used to assess the students' readiness, and perceived usefulness of ChatGPT for academic purposes. Responses in the open-ended questions were analysed using a four-step approach with ATLAS.ti 22. Research data from both the quantitative and qualitative methods were integrated. Findings indicated that students have the proficiency, willingness, and the requisite technological infrastructure to use ChatGPT, with a large majority attesting to its ability to augment their learning experience. The findings also showed students' positive perception of ChatGPT's usefulness in facilitating task and assignment completions, and its resourcefulness in locating learning materials. The results of this study provide practical implications for university policies, and instructor adoption practices on the utilisation of ChatGPT, and other AI technologies, in academic settings. [ABSTRACT FROM AUTHOR]

Self-regulated learning has seen a large increase in research interest due to its importance for online learning of higher education students. Several ways to measure self-regulated learning have been suggested. However, most measurements are either obtrusive, necessitating time and effort from students and potentially influencing the learning process, or only partially portable across courses. In the current study, we develop clickstream-based scales of four self-regulated learning phases that we show are portable across courses. The final scales are based on the COPES model and include two strong and reliable dimensions, enactment and adaptation, one dimension that performs reasonably, task definition, and a weaker one, goal-setting. By considering portability as the main criterion in the scale construction process, we ensured reliable transfer to both similar and dissimilar courses. When considering convergent validity, the created scale has higher bivariate and partial correlations with final student grades than the often-used self-reported MSLQ-SRL scale. We discuss limitations and future research to improve the scale further and facilitate adoption. [ABSTRACT FROM AUTHOR]

Preparing high‐quality graduates is a pressing challenge in teacher education, particularly among vocational high school graduates in Indonesia who face elevated unemployment rates. This experimental study explores the impact of integrating augmented reality (AR) and higher order thinking skills (HOTS) into vocational teacher education, empowering future educators with essential skills to meet evolving educational demands. The proposed learning media served to assist students in better comprehending abstract content through HOTS‐based learning activities, improving subject mastery. We investigated the effects of AR‐based HOTS learning media on learning performance based on self‐regulated learning, digital literacy, and critical thinking, using a mixed‐method research design with 241 participants. Our results demonstrate a positive impact on these factors, underscoring the significance of effective AR‐based learning tools in enhancing the quality of vocational teacher education. [ABSTRACT FROM AUTHOR]

AbstractThe primary objective was to investigate the relations between college students’ achievement goals and their engagement in self-regulated learning using a person-centered approach. College students (N = 364) completed surveys that assessed mindset, self-efficacy, anxiety, achievement goals, and self-regulated learning. Latent profile analyses identified three types of achievement goal profiles: high all, high approach, and low performance. Results showed that self-efficacy and anxiety were significantly associated with the achievement goal profiles. Students who reported high levels of self-efficacy but low levels of anxiety were more likely to endorse the high approach profile. In addition, we found significant mean-level differences across the achievement goal profiles for students’ reported engagement in self-regulated learning concurrently (time management, procrastination) and later in the semester (motivational regulation, environment management). Students in the high approach profile demonstrated the most adaptive pattern of self-regulated learning. Overall, findings provide support for a multiple goal perspective that endorsing both mastery-approach and performance-approach goals can be beneficial. [ABSTRACT FROM AUTHOR]

The purpose of this study was to develop and evaluate the effectiveness of a self-regulated vocabulary learning mobile application (SRVL-MAPP) to improve English as a foreign language (EFL) students’ English vocabulary learning achievement and motivation. To evaluate the effectiveness of SRVL-MAPP, an experiment was conducted with 60 fourth-grade students from a primary school in Henan Province, China. These students were divided into two classes and randomly assigned to either the experimental group, which used SRVL-MAPP, or the control group, which used a mobile vocabulary learning application (NSRVL-MAPP) without the SRL mechanism, with 30 students in each group. The experiment lasted for three weeks. The results revealed that students in the experimental group outperformed those in the control group in both vocabularies learning achievement and motivation. In addition, the results also indicated that SRVL-MAPP significantly improved the English vocabulary learning achievement and motivation of field-dependent learners, while no such effect was observed for field-independent learners. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic and the resultant switch to remote learning enabled a natural experiment to observe and compare the self-regulation strategies used by elementary students in hypermedia environments. Specifically, the same participants (N = 48, Mage = 10.75) were observed in two learning contexts: a traditional classroom with their teacher present, and remote learning from home where all learning was conducted and completed digitally. In both contexts, students completed self-report instruments about their perceived self-regulatory behavior and were individually observed completing a research task in a digital context. Observational data was coded using an established framework of self-regulation for learning (SRL) behaviors in computer-based learning environments. Results showed that the context of the learning did not impact the SRL strategies of elementary students, with no significant differences between the self-reporting or observational data in all categories, or in task performance. The level of consistency between the patterns of SRL behavior, self-reporting and task performance in both environmental contexts was a remarkable finding of this study. Surprisingly, despite remote learning demanding higher self-regulatory capacity, results show that elementary students did not automatically acquire or develop self-regulation skills, nor adjust their existing patterns of SRL behavior in this new learning context. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic forced Chinese cross-border students in Hong Kong to participate in online homeschooling for three years while local students attended face-to-face schooling when the situation released. Previous studies have explored the learning challenges or educational inequity among students in online learning during the pandemic. Limited studies explored the educational inequality between local students and cross-border students. To fill this gap, this study explored the extent of educational inequity between Hong Kong local students and Chinese cross-border students. It further investigated the elements that lead to educational inequity between these two groups of students and the long-term consequences of prolonged purely online learning for Chinese cross-border students. This study compared self-regulated learning, perceived academic achievement, and learning challenges between 35 cross-border students and 32 local students in Hong Kong primary schools. According to the questionnaire and open-ended opinion surveys, the findings showed significant evidence of educational inequity between these two groups of students. Through six teachers' semi-structured interviews, the study analyzed students' learning experiences and synthesized the elements contributing to the issue of educational inequity. The study attributed this inequity to infrastructure elements and stakeholder-related elements. Prolonged purely online learning has resulted in negative and positive effects. This study offers practical implications for the government to implement feasible policies to reduce educational inequity in cross-border education and for stakeholders to conduct effective measures to support young learners in the post-COVID world. Lastly, this study discusses the limitations and recommendations for future research. [ABSTRACT FROM AUTHOR]

Access to traditional education is expensive and has limitations related to geographical locations. The internet development has enabled the use of alternative tools for providing teaching and learning services referred to as Massive Open Online Courses (MOOCs). Despite the advantages of using MOOCs in Higher Learning Institutions (HLIs), there is a paucity of studies related to the adoption of MOOCs in developing countries. Furthermore, the self-regulation aspect, an important factor in an uncontrolled learning environment has received less attention in the literature. Nevertheless, available studies on the adoption of MOOCs have not paid attention to the issue of the age difference, which is important in adopting innovative technology. Therefore, to address the gap this study extended the Technology-User- Environment (TUE) framework by examining mediating and moderating effects of self-regulation and age respectively on the adoption of the MOOCs in Tanzania. The study employed purposive sampling to collect a total of 351 which were analyzed using SmartPLS 4.0. Findings show that observability, perceived usefulness, peer pressure, self-regulation and self-efficacy have significant effects on the adoption of MOOCs. Furthermore, findings show that age moderates the relationship between peer pressure and MOOCs adoption behaviour. Also, Self-regulation was found to mediate the relationship between perceived usefulness, personal readiness, observability and MOOCs adoption. The study provides recommendations to enhance the adoption of MOOCs in Tanzania's higher education sector. [ABSTRACT FROM AUTHOR]

Introduction: An important concern of research about self-regulated learning is to determine the most effective methods for its instruction in different educational settings. This also happens in foreign language learning as improving proficiency is challenging for students and self-regulation has proven effective in different educational levels. Methods: A quasi-experimental study was designed with a treatment and a control group, and pre- and post-test for 70 undergraduate students majoring in English as a foreign language at a Chilean university. A 10-week intervention was conducted to develop self-regulation during emergency remote teaching. Results: Findings revealed that the intervention, as implemented in the study, was successful in improving self-regulated learning, and in participants' recognizing the practical utility of tools acquired. On the other hand, while the level of engagement remained similar after the intervention, this was seen as a protective effect of the teaching-learning strategy on motivational states. Discussion: This research underscores the importance of self-regulated learning training in higher education to allow for students' autonomy and agency, as well as connectedness with instructors and peers, especially during the harsh teaching conditions of sanitary confinement. [ABSTRACT FROM AUTHOR]

Background: Despite being high-achieving students, many medical students face academic challenges, particularly during their first year of study. Research indicates that self-regulated learning, involving metacognitive processes and adaptive strategies, can positively influence academic achievement. This study aimed to assess the early learning and study skills of first-year medical students in an international medical school with the goal of developing a learner-centered educational intervention to promote self-regulated learning. Methods: We conducted a retrospective analysis of the Learning and Study Skills Inventory (LASSI) questionnaire that was administered annually each August to first-year medical students from 2019 to 2022. The distribution of students across different percentile ranges for each selected variable was determined for each year and all years collectively. Students were counted within distinct percentile brackets (50th and below, between 51st and 75th, and above 75th) for each variable. Results: A total of 147 students completed the LASSI questionnaire over the 4-year time period. Using academic resources was the greatest concern, with 67% of students in the 50th or below percentile, followed by selecting the main idea (56%), motivation (51%), and concentration (50%). Attitude scored highest across all cohorts, scoring between 21.55 ± 0.73 and 26.49 ± 0.34. In comparing mean scores of LASSI variables across all cohorts, attitude, motivation, test-taking strategies, time management, and the use of academic resources differed significantly (p < 0.05). Conclusion: LASSI data can provide an early picture of students' support needs. We posit that early identification of student learning and study skills and areas of struggle can inform personalized educational interventions and programs to support first-year medical students. [ABSTRACT FROM AUTHOR]

As the number of foreign patients and the frequency of international academic exchanges increase, English proficiency has become increasingly essential for Chinese nurses in the treatment and nursing processes, clinical academic exchanges, and ongoing education. However, the overall English proficiency of Chinese nurses is generally inadequate, greatly depending on the English that they acquire during their nursing education. This study aims to explore the challenges encountered by Chinese EFL (English as a Foreign Language) nursing students in the process of learning Nursing English, along with the effective self-regulated learning strategies they adopt to overcome these challenges. Data were collected from nine Chinese EFL nursing students through their reflective journals and thematic analysis was applied. Data analysis revealed the variety of challenges EFL nursing students encountered, including language-related challenges, which are linguistic difficulties that relate to Nursing English learning itself, such as Nursing English vocabulary and terminology, English-to-English translation, limited listening comprehension, and the gap between textbook knowledge and its practical application; learner-related challenges, which are difficulties that affect students' emotional, affective, and mental state, primarily caused by uncertainty about the significance of Nursing English, the unexpected difficulty of Nursing English, and failing quizzes; and context-related challenges, which are difficulties relate to social, cultural, and educational context, such as insufficient learning resources, a lack of language environment, and peer pressure. To surmount these challenges, the participants adopted diverse self-regulated learning strategies, including setting goals, previewing in advance and reviewing in time, utilizing word roots, prefixes, and suffixes to facilitate vocabulary learning, repeating, practicing with sounds and writing systems, translating, highlighting and using imagery to overcome language-related challenges; believing in the usefulness and significance of Nursing English, keeping a growth mindset, enjoying Nursing English learning and teacher support and maintaining grit in learning Nursing English to overcome learner-related challenges; and integrating resources, creating supportive language environments and seeking assistance from teachers and cooperating with peers to overcome context-related challenges. Based on these findings, implications are drawn for Nursing English teachers, material designers, curriculum developers, and program designers. We suggest incorporating explicit strategy instruction into regular Nursing English education to enhance nursing students' self-regulated learning. [ABSTRACT FROM AUTHOR]

Introduction: Students' self-regulation skills and self-efficacy are linked to performance and are considered essential for lifelong learning. Understanding these skills and their development is crucial for educational success and long-term personal growth. Methods: In this study, 60 students attending a university-level collaborative design course were recruited as participants. They were initially classified into three groups [high, mixed, and low self-efficacy (SE)] based on the initial test results. Students' written reflections were then analyzed using epistemic network analysis (ENA), aiming to explore the characteristics and developmental trajectories of self-regulated learning (SRL). Results: Comparing with the other two groups, the high self-efficacy (HSE) group demonstrated: (1) more behavioral characteristics of SRL in the performance and self-reflection stages, (2) an earlier development of interest 91 in the task and recognition of its value during collaborative design activities, 92 followed by the utilization of more cognitive and metacognitive strategies; and (3) an "anticipation-behavior-reflection" loop in the self-regulation process. Discussion: These findings highlight the importance of fostering high self-efficacy among students to enhance their self-regulated learning capabilities and overall academic performance. Strategies for improving learners' SRL and future research directions were provided accordingly. [ABSTRACT FROM AUTHOR]

Background: Undergraduates' workplace learning is an important part of health sciences education. Educational psychology research considers many different aspects of self-regulated learning at the workplace, including cognition, motivation, emotions, and context. Multivariate longitudinal and diary studies in this field require fewer items than alternatives or even a single item per construct and can reveal the sub-processes of workplace learning and contribute to a better understanding of students' learning. Short instruments are necessary for application in workplace settings, especially stressful ones, to mitigate survey fatigue. The present study aimed to assess the psychometric properties of single items measuring various aspects of workplace learning. Methods: Twenty-nine single items selected from the Workplace Learning Inventory in Health Sciences Education were analyzed for reliability, information reproduction, and relationships within the nomological network. The authors additionally analyzed four generally formulated single items' relationships with the full Workplace Learning Inventory scales and external criteria within the nomological network. Participants were 214 ninth- or tenth-semester veterinary medicine students in Austria and Germany who were learning at varied workplaces during the winter semester of 2021/2022. Results: Of the 29 single items selected from existing scales, 27 showed sufficient reliability, but mixed results were obtained regarding validity. Although the items' relationships within the nomological network were similar to those of the full scales, information reproduction was insufficient for most items. The four general single items showed acceptable validity, but the reliability of these measures of states could not be assessed. Conclusions: This paper reported findings on the psychometric properties of single items for undergraduates' workplace learning in health science education. The findings are crucial for deciding whether to use scales versus single-item measures in future studies. By applying the findings, researchers can be more economical in their workplace learning data collection and can include more constructs. [ABSTRACT FROM AUTHOR]

AbstractThis study aimed to investigate the efficacy of utilizing large language models (LLMs) to enhance self-regulated learning (SRL) strategy instruction in English as a Foreign Language (EFL) writing. An LLM-supported Cognitive Academic Language Learning Model (CALLA-LLM) was developed and examined for its potential to improve elementary students’ EFL writing performance, SRL strategy use, and writing motivation. In a randomized controlled trial, 65 elementary school students were divided into an experimental group receiving CALLA-LLM instruction and a control group receiving traditional CALLA instruction. Both groups learned SRL strategies over 5 weeks, with data collected pre-intervention, post-intervention, and at a one-month follow-up. Results showed that the CALLA-LLM group made significant improvements in writing performance, SRL strategy use, and writing motivation, maintained most of the gains at follow-up, and significantly outperformed the control group. Findings provide empirical evidence for the efficacy of the CALLA-LLM model in enhancing EFL writing strategy instruction, lending support for integrating AI technologies such as LLMs into English language teaching. Moreover, the study underscores the importance of the “Humans in the Loop” approach, which emphasizes the essential role of human educators in AI-assisted language instruction. [ABSTRACT FROM AUTHOR]

Despite the global adoption of Content and Language Integrated Learning (CLIL) and extensive research on the effectiveness (product-oriented) and classroom interactions (process-oriented) of CLIL, existing studies have overlooked the motivational beliefs and metacognitive strategies of CLIL students. Hence, there is a need for a participant-oriented approach to better understand students’ perspectives and enhance CLIL’s success. Drawing on the social cognitive model of self-regulated learning (SRL), this study aimed to explore how students plan, monitor, and evaluate their learning in CLIL contexts by employing a novel vignette-based microanalytic assessment approach to empirically capture students’ SRL processes. Participants were 108 junior secondary school students from three schools in Hong Kong. Data were analysed using structuring qualitative content analysis. Findings revealed that students employed diverse strategies to manage the demands of language and content learning, with variations in self-efficacy beliefs influencing their approaches. Furthermore, some learners faced challenges in maintaining effective self-regulation. This study argues that improving self-regulatory processes and enhancing CLIL’s success requires prioritising assessment, considering the state of ‘others’, and fostering deeper learning beyond CLIL. This study contributes to the empirical, methodological, and pedagogical understanding of students’ SRL in CLIL settings and informs future research on student-focused aspects in CLIL. [ABSTRACT FROM AUTHOR]

This paper presents two empirical studies. Study 1 validated a survey on L2 self-regulated strategies in writing in a multimedia environment. Study 2 examined the relationship of Chinese students' working memory to their L2 English proficiency and self-regulated learning (SRL) strategies in multimedia writing. A total of 400 Chinese university students participated in Study 1, and they responded to a survey on SRL strategy use in multimedia writing. A total of 406 Chinese university students attended Study 2. They completed the survey and an operation span task (a measure of working memory). All the participants' English proficiency was evaluated using the College English Test-4, a standardized test for undergraduate students in China. Results of Study 1 revealed a 5-factor SRL strategy structure consisting of goal setting, strategic planning, elaboration, self-evaluation, and help seeking. Results of Study 2 suggested the predicted effects of self-regulated strategies, working memory, and L2 proficiency on L2 writing performance. Findings also demonstrated the moderation effects of English proficiency on the effects of self-regulated writing strategies. Implications for enhancing writing in multimedia environments are provided. 本文汇报了两项实证研究。第一项研究验证了在多媒体环境中进行二语自主调控写作策略的调查问卷。第二项研究探讨了中国学生的工作记忆, 英语水平以及多媒体写作中的自主调控写作策略之间的关系。共有400名中国大学生参与了第一项研究, 并回答了关于多媒体写作中自主学习策略使用的调查问卷。第二项研究有406名中国大学生参与。他们完成了调查问卷和操作跨度任务(一种工作记忆测量方法)。所有参与者的英语水平都通过一项中国本科生的标准化考试, 即大学英语四级考试, 进行了评估。第一项研究的结果显示, 自主学习策略包括目标设定、战略规划、详细阐述、自我评估和求助, 共五个因素。第二项研究的结果表明, 自主调控策略、工作记忆和英语水平对二语写作表现具有预测效应。研究结果还显示, 英语水平对自主调控写作策略的效果具有调节作用。该研究对于提升多媒体环境下的写作具有重要借鉴意义。 PLAIN LANGUAGE SUMMARY: We reported the findings of two empirical studies. In Study 1, we tested a survey to see how well it measured learners' self-regulated strategies in a multimedia environment. In Study 2, we looked at learners' working memory, proficiency, and learners' self-regulated strategies in a multimedia environment. The results of Study 1 showed that there are five main strategies students use when writing. They include goal setting, strategic planning, elaboration, self-evaluation, and help-seeking. The results of Study 2 showed that learners' working memory, proficiency, and learners' self-regulated strategies are essential to their writing performance. The results also supported the idea that English proficiency plays a moderating role in the relationship between self-regulation and writing. When English proficiency was low, self-regulation had a greater impact on writing performance; conversely, when English proficiency was high, self-regulation had a smaller effect on writing performance. However, the present study did not identify a statistically significant interaction effect between working memory and self-regulation. Working memory may not affect self-regulation in students' writing outcomes. This study, thus, contributes to teachers', teacher educators', policy makers', and practitioners' knowledge in terms of self-regulation, working memory, and proficiency in a multimedia writing environment. [ABSTRACT FROM AUTHOR]

Background Objectives Methods Results and Conclusions Self‐regulated learning (SRL) is a predictive variable in students' academic performance, especially in virtual reality (VR) environments, which lack monitoring and control. However, current research on VR encounters challenges in effective interventions of cognitive and affective regulation, and visualising the SRL processes using multimodal data.This study aimed to analyse multimodal data to investigate the SRL processes (behaviour, cognition and affective states) and learning performance in the VR environment.This study developed a VR‐based immersive learning system that supports SRL activities, and conducted a pilot study in an English for Geography course. A total of 21 undergraduates participated. Face tracker, electroencephalography, and learning logs were used to gather data for learning behaviour, cognition and affective states in the VR environment.First, the study identified three categories of learners (HG, MG and LG) within the VR environment who presented different behavioural engagement and SRL strategies. The HG exhibited the highest level of cognition and affective states, which resulted in superior performance in terms of vocabulary acquisition and retention. The MG, despite possessing a higher level of cognition, performed inadequately in other aspects, leading to no difference in vocabulary acquisition and retention from the LG. By collecting and mining multimodal data, this study helps to enrich the visual analysis of SRL processes. In addition, the results of this study help to dissect the problems of students' SRL in a VR learning environment. Furthermore, this study provides a theoretical basis and reference for the study of SRL development in immersive learning environments. [ABSTRACT FROM AUTHOR]

Drawing on the explanatory sequential mixed‐methods design, the present study aims to investigate the relationship, if any, between self‐regulated learning (SRL) strategy use and task engagement. The participants of the study were 361 Iranian EFL students majoring in English language teaching or English language and literature for the B.A. degree, with a B1 English language proficiency level, based on the Common European Framework of Reference for Languages. Questionnaire surveys, narrative frames, and semi‐structured interviews were used to collect the data remotely during the COVID‐19 pandemic. The results of quantitative data analysis showed that SRL strategy use is a significant predictor of task engagement. The results of the qualitative analysis also pointed to the importance of SRL strategies, including (meta)cognitive, (meta)affective, (meta)motivational, and (meta)social strategies, to maintain task engagement. The results of the study may be used to inform English language teachers, learners, materials developers, and measurement instrument developers. [ABSTRACT FROM AUTHOR]

Background Veterinary medicine programmes require students to learn in formal educational settings and through workplace experiences. Previous studies have indicated that learning in the clinical workplace can be informal as students participate in daily activities of service provision by veterinary teams. It can be complex however for students to transition from a traditional formal educational setting to learning in the workplace and students must be able to selfregulate their learning. This requires students to set their own learning goals, consider available learning opportunities and to evaluate if intended learning outcomes have been attained. There is a need to identify strategies students undertake to self-regulate their learning in the workplace to design supports to enhance their learning. The aim of this study was to provide a detailed description of how final year veterinary medicine students plan, learn and reflect on their learning in the workplace context of clinical extramural studies (CEMS) prior to the COVID-19 pandemic. Methods An observational repeated cross-sectional design study was conducted with two groups of final year veterinary medicine students in University College Dublin. Data was collected in two stages by analysing student activity records and surveying students in 2017 and 2018. Participants were asked to describe how they planned their CEMS, to describe the types of learning activities they participated in, and describe their reflections of CEMS. Results The results are interpreted through the lens of self-regulated learning theory. Analyses of student CEMS activity records indicate that students from both groups primarily participated in small animal/production animal or mixed practice work placements. The majority of respondents of the survey indicated that CEMS was a valuable learning opportunity and they were motivated by placements that would support their future career goals. Financing CEMS placements was a key obstacle to their planning. The majority of respondents indicated varying frequencies of engaging in different types of learning activities and noted that finding suitable placements that facilitated practical skill development and active student learning was a challenge. Implications for veterinary education are discussed. Conclusions Student perspectives on planning and learning in the CEMS workplace context yielded important insights into the factors that influence their self-regulatory activities which can help inform future educational interventions to support student learning. [ABSTRACT FROM AUTHOR]

Self-regulated learning (SRL) represents a necessary fundamental 21st century skill for children and adolescents and is essential for the development of gifted students. This study explored mathematically gifted (MG) junior high school students’ SRL capabilities while solving mathematical problems compared to typical achievers (TAs). A sample of 71 ninth-grade students from three junior high schools were divided into two study groups (MG and TA). Participants completed Motivated Strategies for Learning Questionnaires (MSLQ) and a Metacognitive Strategy Usage Questionnaire (MSUQ). In addition, students underwent Think-Aloud Interviews while solving mathematical problems (quadratic function) at two levels of difficulty. The results only revealed significant differences between MG and TA students on the organization subscale of the MSLQ. No differences were found between the study groups in the metacognitive strategies used in the questionnaire. MG students outperformed TA students on the Mathematical Problem-Solving Task and generally used more SRL strategies during the qualitative Think-Aloud Interviews. Moreover, the differences in the between-group effect sizes were higher on the high-difficulty level of the problem-solving task than on the low-difficulty level of the task. The findings constitute a significant milestone in the study of SRL capabilities of MG in junior high school. [ABSTRACT FROM AUTHOR]

Background: Measuring students' self‐regulation skills is essential to understand how they approach their learning tasks in order to identify areas where they might need additional support. Traditionally, self‐report questionnaires and think aloud protocols have been used to measure self‐regulated learning skills (SRL). However, these methods are based on students' interpretation, so they are prone to potential inaccuracy. Recently, there has been a growing interest in utilizing learning analytics (LA) to capture students' self‐regulated learning (SRL) by extracting indicators from their online trace data. Objectives: This paper aims to identify the indicators and metrics employed by previous studies to measure SRL in higher education. Additionally, the study examined how these measurements were validated. Methods: Following the protocol of Preferred Reporting Items for Systematic Reviews and Meta‐Analyses (PRISMA), this study conducted an analysis of 25 articles, published between 2015 and 2022, and sourced from major databases. Results and Conclusions: The results showed that previous research used a variety of indicators to capture learners' SRL. Most of these indicators are related to time management skills, such as indicators of engagement, regularity, and anti‐procrastination. Furthermore, the study found that the majority of the reviewed studies did not validate the proposed measurements based on any theoretical models. This highlights the importance of fostering closer collaboration between learning analytics and learning science to ensure the extracted indicators accurately represent students' learning processes. Moreover, this collaboration can enhance the validity and reliability of data‐driven approaches, ultimately leading to more meaningful and impactful educational interventions. Lay Description: What is already known about this topic?: Measuring students' self‐regulation skills is essential for understanding their learning approaches and identifying areas requiring further support.Traditionally, questionnaires and interviews have been used to measure learners' self‐regulation; however, these methods rely on students' own views, which can sometimes be unreliable.Recently, there has been more interest in using learning analytics to measure students' self‐regulation based on data extracted from their online activities. What this paper adds?: This paper systematically analyses how previous studies used learning analytics to measure students' self‐regulation in higher education.It examines how these measurements were validated. Implications for practise and/or policy: More collaboration is needed between researcher in learning science and learning analytics is essential to ensure that the metrics and methods developed are not only theoretically sound but also practically relevant. This collaboration ultimately contributes to the design of enhanced learning experiences and outcomes. [ABSTRACT FROM AUTHOR]

This study uses Panadero et al.'s (2021) Deep Learning Strategies Questionnaire to discover EFL learners' strategies from a new perspective. The questionnaire is a newly designed selfreport instrument with ground-breaking features constructed with validity and reliability to measure students' actual strategies in real situations. The current study is the first in an EFL context to use this innovative tool. It investigates self-regulation strategies for learning English as a foreign language (EFL) among 430 male EFL college students in Saudi Arabia. The questionnaire enabled us to adopt a micro-level inspection of strategy functions based on an innovative model that can help identify possible avenues for strategy interventions. The results mostly showed a high use of deep language learning strategies in all four questionnaire categories: basic learning, visual elaboration and summarizing, deep information processing, and social learning. Consequently, all the categories had a strong, positive, and significant correlation. In addition, the most used strategies were basic learning strategies, whereas the least used were visual elaboration and summarizing. Our findings provide useful pedagogical implications for promoting EFL learning strategies and strategy instruction. Successfully replicating the Deep Learning Strategies Questionnaire scrutinizes this methodological instrument's validity and reliability and encourages other researchers to use it. [ABSTRACT FROM AUTHOR]

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Many instructional videos in mathematics education target knowledge of procedures and algorithms. To design instructional videos that support students in a non-algorithmic domain, such as mathematical modeling, we developed a framework based on research on heuristic worked examples and instructional videos. Because students' perceptions play an important role in whether they will engage with a learning resource, our research questions focus on the advantages and challenges students perceive when they work with an instructional video on mathematical modeling and solve a subsequent related modeling problem. Using a video based on the developed framework, we conducted an interview study with 14 pairs of upper-secondary students. The results of the qualitative text analysis showed that the perceived advantages and challenges were related to certain design features and to the processes of self-regulated learning with the video. The students experienced challenges regarding the video's duration, the transfer to a subsequent related modeling problem, the absence of a teacher, and self-discipline. Hence, further learner support is necessary to guide the transition from working with a video to autonomous modeling, such as combining the video with strategic instruments and teacher support. In addition, interactive video features may be essential, as the students enjoyed how those features involved them in the process of watching the video. Overall, the results indicate that instructional videos are promising for providing heuristic worked examples, offering an innovative approach for teaching and learning mathematical modeling. [ABSTRACT FROM AUTHOR]

The capacity to regulate our emotions in unusual circumstances is known as emotional intelligence (EI). EI has been acknowledged as a predominantly major challenge to both student achievement and the big five personality (BFP) traits. This study aimed to explore the impact of EI on an individual’s personality. Specifically, it sought to determine: i) the level of EI of students in form 2 and 4; ii) gender differences in EI among students in form 2 and 4; and iii) the possibility whether there is a significant relationship between aspects of emotional intelligence and BFP towards form 2 and form 4 students. This study was conducted quantitatively at a Malaysian Secondary School located in Pahang, Malaysia. A set of questionnaires was distributed to 108 respondents at the school. For ethical consideration, the researchers informed the responsible behalf such as regional education department and school, and then distributed an informed consent form to each respondent. The findings indicate that self-regulation is the highest level of personality dimension achieved which is m=3.54. On the other hand, there is no significant difference between genders among students in form 2 and 4 affected by EI. Besides, there is a significant relationship between aspects of EI and BFP where the Pearson coefficient, or r-value is 0.674. Future research on interventions that are more appropriate for developing students’ personalities to enhance their EI should be undertaken, according to the implications of this study. [ABSTRACT FROM AUTHOR]

Although possessing flexibility and accessibility, asynchronous online courses suffer from high attrition and cause unsatisfactory learning performance, leading to a pressing need to understand factors influencing learners' continuance of learning intention. Based on the expectation confirmation model, this study investigated perceived enjoyment as an extended variable to unpack the mediating effects of perceived usefulness and perceived enjoyment on the relationship between confirmation and continuance intention. Quantitative data from 254 learners enrolled in asynchronous online English courses were obtained for data analysis. Results indicate that confirmation significantly and positively affects learners' continuance intention to take the asynchronous online English courses. Perceived usefulness and perceived enjoyment significantly mediate the relationship between confirmation and continuance intention. The total indirect effect of confirmation on continuance intention through perceived enjoyment and perceived usefulness and the combination of perceived enjoyment and perceived usefulness was 55.52%. Additionally, interviews with five learners revealed that despite limited real-time interaction, they highly value asynchronous online courses given that they promote self-regulated learning, offer choice freedom, foster a sense of achievement, and reduce anxiety and embarrassment risks that trigger their learning enjoyment. This study provided deep insights into factors influencing EFL learners' decisions in asynchronous learning. Instructors are suggested to improve the quality of courses, provide timely feedback, and design tasks to improve learners' perceptions of enjoyment and usefulness to further improve learners' confirmation of online courses and their continuance intention to engage in online synchronous learning. [ABSTRACT FROM AUTHOR]

Learner control allows for greater autonomy and is supposed to benefit learning motivation, but it might be more advantageous for students with specific learner characteristics. The current study looks into the relationships between self-regulated learning, cognitive load, and performance within learner-controlled environments. The research was conducted in an asynchronous online setting, allowing for learner control. Cognitive load and self-regulated learning were measured using self-report questionnaires. Performance was assessed through case solutions. The participants were 97 graduate law students studying the civil code. Analysis based on structural equation modeling showed that both prior knowledge and self-regulated learning skills significantly contribute to the increase in germane cognitive load and are positively correlated with performance. The implications of these findings underscore the critical role of prior knowledge and self-regulated learning skills in shaping the cognitive processes involved in learning, ultimately impacting academic achievement. These results emphasize the need for careful consideration of learner-control options in asynchronous online environments. [ABSTRACT FROM AUTHOR]

Blended Learning (BL) as a pedagogical approach has increased in significance during the COVID-19 pandemic, with blended and online learning environments becoming the new digital norm for higher educational institutions around the globe. While BL has been discussed in the literature for thirty years, a common approach has been to categorise learner cohorts to support educators in better understanding students' relationships with learning technologies. This approach, largely unsupported by empirical evidence, has failed to adequately address the challenges of integrating learning technologies to fit with non-traditional students' preferences, their BL self-efficacy and the associated pedagogical implications. Focusing on student preference, our study presents findings from a pre-COVID survey of undergraduate students across four campuses of an Australian regional university where students shared their learning technology preferences and the self-regulated learning that influenced their academic self-efficacy in a BL context. Findings show students want consistency, relevance, and effectiveness with the use of BL tools, with a preference for lecture recordings and video resources to support their learning, while email and Facebook Messenger were preferred for communicating with peers and academic staff. Our study suggests a quality BL environment facilitates self-regulated learning using fit-for-purpose technological applications. Academic self-efficacy for BL can increase when students perceive the educational technologies used by their institution are sufficient for their learning needs. [ABSTRACT FROM AUTHOR]

Web-based inquiry learning provides opportunities for students to take responsibility to regulate their learning. However, due to a lack of science inquiry-specific self-regulated learning (SRL) frameworks, there is insufficient understanding of SRL processes in inquiry-based science learning. This study aims to explore students' SRL patterns by using a comprehensive framework that combines SRL with the science inquiry process. Additionally, log-file data collected in the online science inquiry learning session were used to analyze students' SRL patterns. The results of the latent class analysis revealed four types of SRL learners: disengaged learners, proficient SRL learners, aimless reflective learners, and less reflective learners. Furthermore, we found significant differences in science achievement tests among different SRL learners. Specifically, proficient SRL learners and less reflective learners scored significantly higher than the other two types of learners. A difference was also found between proficient SRL learners and disengaged learners in terms of their self-determined motivation. Understanding the heterogeneity of SRL processes among students revealed from distinct SRL patterns informs how to provide targeted intervention and support for students who encounter difficulties in inquiry-based science learning. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic accelerated the adoption of online learning, particularly in higher education institutions. This shift underscores the importance of sustainable education practices aligned with the United Nations' Sustainable Development Goals (SDGs). SDG 4 emphasizes inclusive and equitable quality education, highlighting how online learning environments can enhance accessibility and flexibility for students worldwide. SDG 9 underscores the role of technological advancements in education. SDG 10 focuses on reducing inequality within and among countries, and online education can bridge educational disparities by offering flexible learning options to diverse socioeconomic backgrounds. SDG 17 emphasizes the importance of partnerships, which have been crucial in developing effective online learning solutions. This study investigates the relationship between undergraduate students' self-regulated online learning, perceived flexibility, and attitudes towards the use of distance learning environments at a state university in İzmir, Türkiye. Utilizing a survey-type correlational research model, data were collected from 300 undergraduate students. The results indicate that undergraduate students exhibit high-level self-regulation, perceive moderate flexibility, and hold positive attitudes towards the use of distance learning environments. The analysis showed that self-regulated online learning is moderately correlated with perceived flexibility and strongly correlated with attitudes towards the use of distance learning environments. These findings suggest that both perceived flexibility and positive attitudes towards the use of distance learning environments play important roles in predicting self-regulated online learning. This research provides valuable insights for educators and institutions aiming to enhance the online learning experience by promoting self-regulated learning behaviors and flexible learning environments. [ABSTRACT FROM AUTHOR]

The primary purpose of the study was to explore the current situation of Chinese music majors' self-regulated learning (SRL) in the individual music practice context. Two undergraduate piano players' music practice profiles were collected using SRL microanalysis protocols and follow-up semi-structured interviews. The results have shown: (1) there were obvious differences between the two Chinese music majors' before, during, and after their practice sessions; (2) both participants' SRL during music practice could be enhanced by developing advanced practice strategies (including metacognitive and mental strategies); (3) music majors' SRL has been influenced by Chinese culture when seeking help from teachers and in self-attribution; (4) the SRL microanalysis can effectively obtain specific contextualized information regarding music majors' behavior, cognition, and affect during their practice in the Chinese context. This study reflects the Chinese music majors' current situation in terms of self-regulated music practice and provides insights useful to understanding the practices of students influenced by Chinese culture and improving them to achieve higher levels of self-regulated music practice. [ABSTRACT FROM AUTHOR]

We collected data on students' self-assessment behavior from four sections of a Calculus II course. Students were asked to write their expected scores on each of the weekly in-class quizzes and problems in the exams, immediately after they completed them. They were then asked to justify their expectation in writing. One-on-one interviews were conducted with a purposefully selected sample of students. During the interviews, they were asked to explain their perceived reasons for their self-assessment behaviors. While the results from quantitative analysis seemed to partially reinforce the findings of existing research that low performers generally overestimate, high performers underestimate their performance, and those in-between performers were (almost) accurate predictors, results from qualitative analysis provided additional insights into their self-assessment behaviors. After analyzing qualitative data, we identified five categories of student behavior: knowing about knowing (KK), not knowing about knowing (NKK), knowing about not knowing (KNK), knowing something is not known but not sure what (KBNKW), and not knowing about not knowing (NKNK). The quantitative analysis showed that students exhibited greater accuracy in assessing their performance when they belonged to the categories KK, KNK, and KBNKW, while their accuracy was lower when they fell into the categories NKNK and NKK. In other words, students who had greater awareness of their level of knowledge were more accurate in predicting their scores compared to their peers, irrespective of their actual performance levels. The logistic regression model revealed a substantial increase in the likelihood of underperforming students overestimating their performance compared to their high-performing counterparts. [ABSTRACT FROM AUTHOR]

Self-regulated learning (SRL) encompasses cognitive, metacognitive, and motivational learning strategies and is highly relevant for academic achievement. Although students have mostly acquired high-level SRL strategy knowledge by the time they reach college, they often show deficiencies in their application of SRL strategies. In order to investigate the gap between SRL strategy knowledge and its application in more depth, it is necessary to develop instruments that assess conditional SRL strategy knowledge for the whole learning process with sufficient validity and reliability. Therefore, based on four distinct studies conducted in Germany, the development and validation of a new Strategy Knowledge Test for Self-Regulated Learning (SKT-SRL) for college students are described. Study 1 describes the development of the test and the results of expert ratings that speak in favour of the test's content validity. Study 2, the pilot study, was undertaken to gain insight into the psychometric characteristics of the SKT-SRL, examine its relationship to other SRL assessment methods and academic achievement, and reach a sense of its validity. Studies 3 and 4 present the results of two validation studies for the SKT-SRL; they investigated its psychometric characteristics, convergent validity, factorial structure, test–retest reliability, and its relationship to academic achievement as well as other study-relevant factors. Overall, the results are promising and the SKT-SRL mostly showed sufficiently valid assessments. To conclude, the SKT-SRL is a useful tool for analysing conditional SRL strategy knowledge in college students and can be used for further research on the relationship between SRL strategy knowledge and strategy usage. [ABSTRACT FROM AUTHOR]

This descriptive qualitative study examined pre-service teachers' cognitive conditions, cognitive operations, and metacognitive adaptations during emergency online practice teaching. It further examined the intricate interplay between these components. Using pre- and post-open-ended questions and weekly reflections, qualitative methods were employed to examine participants' cognitive conditions and processes in detail. The findings uncovered a cognitive paradox: pre-service teachers exhibited less sophisticated beliefs, negative emotions, low self-efficacy, and limited task knowledge while simultaneously holding high outcome expectations and mastery goals. Their cognitive operations revealed a similar cognitive paradox, highlighting the tension between the desired outcomes and the processes employed to attain them. They used both primitive and acquired cognitive operations. Their primitive cognitive operations were predominantly characterized by monitoring and assembling, whereas the acquired processes involved seeking and using feedback and observing. Like cognitive operations, their metacognitive adaptations were reactive and superficial, mainly focused on error identification and rectification. Although their cognitive and metacognitive engagement evolved with time, the presence of simultaneous paradoxical elements accentuates the complexity of the interplay between pre-service teachers' cognitive conditions, cognitive operations, and metacognitive adaptations, making it a non-linear, complex, and multi-dimensional process driven by contradictory forces. These findings have important implications for teacher education programs, suggesting tailored interventions and support mechanisms. [ABSTRACT FROM AUTHOR]