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Efklides and colleagues developed the Metacognitive and Affective model of Self-Regulated Learning (MASRL) to provide a comprehensive theoretical framework of self-regulated learning (SRL). The distinguishing feature of MASRL is that it stresses metacognitive experiences and other subjective experiences (e.g., motivational, affective) as critical components of SRL. The insights underlying the model are that metacognitive experiences are related to affect, and that metacognition, motivation, and affect interact in SRL rather than function independently. Moreover, the MASRL proposes that SRL takes place at two levels, the Person and the Task X Person levels, with the latter being specific to the learning task and its demands. Although SRL can start with goal setting and planning in a top-down manner, monitoring and control processes at the Task X Person level provide input for bottom-up SRL. To highlight the theory-building process that led to the MASRL theory, we present questions that inspired its conception, its theoretical underpinnings, and current evidence supporting it. We also discuss the implications of the MASRL theory for understanding SRL in the classroom and for teacher–student interactions. Finally, we discuss open questions and issues that future research on MASRL would address in the context of educational psychology and SRL promotion.

Although university students use their digital devices for almost everything, current studies shows that students have difficulties with digital learning because they lack in self-regulated skills which in return lead to low performance. Self-regulated learning strategies (SRLS) are used assist students to learn efficiently. While many researchers have investigated SRLS towards academic outcomes such as grades, little is known about the use of SRLS towards non-academic outcomes that are also essential to assist university students’ learning progression. Hence, there is a need to understand how best to utilise SRLS to drive positive non-academic outcomes in digital learning within a blended learning environment. The systematic review methodology follows PRISMA guidelines to explore the current literature. Different sources were searched using predefined search items. A total of 239 retrievals were found which were screened for duplication. A closer screening was done on the abstracts and titles of 239 papers after duplication removal. 28 full text papers were evaluated for eligibility. Finally, 14 papers were then selected for the review. Most of the papers included in the review were peer-reviewed articles published in social science and educational journals. List of self-regulated learning strategies and non-academic outcomes used in a blended learning environment in higher education institutions were identified. Majority of the 14 reviewed papers investigated metacognitive knowledge, resource management and motivational belief strategies towards learning performance whereas cognitive engagement strategies was the least researched. Results revealed that generally, SRLS positively correlate with non-academic outcomes. At the end of the review, research gap and the future direction are presented.

This study aimed to validate a newly-developed instrument, The Writing Strategies for Self-Regulated Learning (SRL) Questionnaire, with respect to its multifaceted structure of SRL strategies in English as a foreign language (EFL) writing. A total of 790 undergraduate students from 6 universities in Northeast China volunteered to be participants. Confirmatory factor analyses (CFA) through structural equation modeling (SEM) were applied to evaluate 3 hypothesized models. The results of the CFA validated a 9-factor correlated model of second language (L2) writing strategies for SRL with satisfactory psychometric characteristics. Model comparisons confirmed a hierarchical, multidimensional structure of SRL as the best model, in which self-regulation, as a higher order construct, accounted for the correlations of the 9 lower-order writing strategies, pertaining to cognitive, metacognitive, social-behavioral, and motivational regulation aspects. Multiple regression analysis revealed that 6 out of 9 SRL strategies had significant predictive effects on EFL writing proficiency. The empirical evidence lends preliminary support to a transfer of SRL theory from educational psychology to the field of L2/EFL education, particularly L2/EFL writing. Implications of these findings are discussed. (Verlag).

Fostering students' problem-solving abilities and design thinking has been recognized as a crucial educational objective. In the conventional collaborative project-based learning approach, co-regulative learning (CRL) has been adopted to guide learners to plan and monitor the progress of their projects. However, without providing adequate supports or feedback to individual teams, the innovation and design quality of the project outcomes could be disappointing. In this study, a generative AI (artificial intelligence)-based co-regulative learning (GAI-CRL) approach is proposed to address this issue. Moreover, an experiment was conducted in a digital game development (DGD) to assess this approach. A total of 46 university students from two classes were recruited in this study. The experimental group adopted the GAI-CRL approach, while the control group adopted the conventional CRL (C-CRL) approach. The results showed that the GAI-CRL approach significantly enhanced students' project design performance, learning motivation, self-efficacy, and creative thinking compared to the C-CRL approach. This study serves as a reference not only for implementing DGD projects but also for applying CRL to other educational domains.

PurposeSelf-regulation is the level of learning where the learner becomes an active agent in their learning process in terms of activity and aspects of motivation and metacognition. The current paper mostly deals with the metacognitive aspect. The purpose of this study is to gain insight into self-regulation of learning in the context of modern technology in higher education. This study also aims to highlight the direction, tendencies and trends toward which self-regulation of learning is moving in relation to modern technologies.Design/methodology/approachThe review study was compiled via searches in three databases: Scopus, Web of Science and ERIC. A filter was used to search for empirical studies solely in English, published over the past decade on the topics of self-regulation of learning and technology in higher education.FindingsThe findings clearly show a correlation between self-regulation of learning and modern technology, especially after a significant event such as the Covid-19 pandemic. However, in the wake of this change, the field of education has seen the emergence of methods and new platforms that can provide support for the development of self-regulated learning strategies.Originality/valueThe originality of the study lies in the fact that it focuses on the link between self-regulation of learning and modern technologies in higher education, including some predictions of the future direction of self-regulation of learning in this context.

PurposeThis study explores a conceptual framework that addresses a school principal's self-regulated learning (SPSRL) as well as possible avenues for future conceptualization of, and research into this issue.Design/methodology/approachThe conceptual framework of SPSRL is based on an extensive literature review of the research on student’s and teacher’s self-regulated learning models.FindingsA novel conceptual and practical SPSRL framework for planning, performing, monitoring and self-reflection is elaborated.Research limitations/implicationsThis novel SPSRL conceptual framework provides school principals with a means to shape and develop processes, strategies and structures to monitor and evaluate their learning, enabling them to react effectively in uncertain and dynamic environments. This framework may open the way to future research into possible contributions of the SPSRL construct with other variables related to principal effectiveness. The suggested framework should be examined empirically in various sociocultural contexts, possibly substantiating its conceptual validity.Originality/valueThe SPSRL conceptual framework can improve school learning, which might connect the individual (the school principal) and organizational (teachers) learning levels.

Researchers have indicated the importance of engaging learners in self-regulated learning (SRL) states when situated in game-based learning contexts; however, it remains a challenge for both educational and educational technology researchers to effectively integrate both. To this end, this study investigated how SRL strategies are interwoven with game-based learning in higher education by searching the web of science database to systematically review the papers published between 2009 and 2020 in academic journals. The encoded dimensions ranged from the primary research purpose to research issues, including application domains, research methods, duration of the studies, SRL strategies, game types, and game genres. It was found that since 2015, the research purposes have become increasingly diverse, with skills acquisition in game-based learning being regarded as the most important goal, followed by knowledge acquisition and behavior change. Such games took goal orientation, peer learning, and regulating as the main SRL strategies, which exerted a positive effect on learning performance, self-efficacy/confidence, attitudes/effort, satisfaction/interest, and learning behavior. Meanwhile, these SRL strategies were well embedded into problem-solving, simulation, multi-type, and RPG game types against the setting of the real-life-related storyline as the main game genre. Since previous studies lacked the systematic application of all SRL strategies within a game-based learning environment, they could not uncover the dynamic and cyclic processes of SRL in game-based learning environments. Hence, this study proposed corresponding suggestions for future research issues as a reference for researchers, teachers, and decision-makers.

This research delves into the transformative potential of artificial intelligence (AI) interventions in advancing reading comprehension, sparking learner engagement, and empowering self-regulated learning. It addresses a gap in the literature regarding innovative approaches to fostering these skills through emerging technologies. An AI-based intervention program was developed and implemented in a controlled classroom using a mixed-methods design with experimental and control groups. Pre- and post-assessments measured reading comprehension, engagement, and self-regulation, complemented by semi-structured interviews. The quantitative findings revealed significant improvements in reading comprehension and self-regulated learning behaviors, such as goal-setting, monitoring, and self-reflection, among the experimental group. The AI intervention also positively impacted engagement, evidenced by increased attentiveness, participation, and motivation. Also, the qualitative analysis indicated that 77% of students highlighted the AI platform’s effectiveness in fostering engagement and supporting self-regulation, with themes such as “ increased attentiveness ” and “ enhanced motivation ” frequently mentioned. Conversely, 23% of participants identified usability issues related to system responsiveness and interface design as barriers to maximizing the platform’s potential. These results provide educators, policymakers, and curriculum developers insights into integrating AI into effective educational practices.

University dropout represents a serious problem across the world. Past research has suggested the merits of studying both additive and multiplicative effects among the variables that affect the intention to drop out. In the present study, we tested the potential moderating effect of friendships at university, on both the association between self-regulated learning self-efficacy and intention to drop out and the associations between different motivations for attending university and intention to drop out. A sample of 404 Italian university students ( M age  = 21.83; SD  = 2.37) completed an online questionnaire. The outcomes showed that having friends at university was a protective factor in the relationship between self-regulated learning self-efficacy and intention to drop out. Students with a high number of university friends and low self-efficacy were less likely to intend to drop out than students with few university friends and low self-efficacy. Thus, having friends at university appears to protect students from developing the intention to drop out.

Some learners of Chinese as a foreign language (CFL) face difficulties learning Chinese characters (hanzi), particularly if they are from alphabetic language backgrounds such as English. Many CFL students need to develop the ability to self‐regulate their learning to cope with the learning of hundreds of characters in the beginner and intermediate stages of learning. This mixed‐methods study explored these strategic actions through a multi‐dimensional lens of self‐regulation. Eight CFL university students at an Irish university were interviewed six times each throughout the course of an academic year to track their self‐regulation as their learning of Chinese characters developed. In addition, 108 students across universities in Ireland were surveyed on their self‐regulation. Learners with higher hanzi knowledge demonstrated stronger self‐regulation, particularly in terms of meeting the commitments of their studies. Metacognitive control was problematic for all learners. Emotion control was more problematic at the earlier levels of hanzi knowledge.