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Despite the increasing use of the self-regulated learning process in the smart learning environment, understanding the concepts from a theoretical perspective and empirical evidence are limited. This study used a systematic review to explore models, design tools, support approaches, and empirical research on the self-regulated learning process in the smart learning environment. This review revealed that there is an increasing body of literature from 2012 to 2020. The analysis shows that self-regulated learning is a critical factor influencing a smart learning environment’s learning process. The self-regulated learning components, including motivation, cognitive, metacognitive, self-efficiency, and metacognitive components, are most cited in the literature. Furthermore, self-regulated strategies such as goal setting, helping-seeking, time management, and self-evaluation have been founded to be frequently supported in the literature. Besides, limited theoretical models are designed to support the self-regulated learning process in a smart learning environment. Furthermore, most evaluations of the self-regulated learning process in smart learning environment are quantitative methods with limited mixed methods. The design tools such as visualization, learning agent, social comparison, and recommendation are frequently used to motivate students’ learning engagement and performance. Finally, the paper presents our conclusion and future directions supporting the self-regulated learning process in the smart learning environment.

Learning analytics dashboards (LADs) are often used to display real-time data indicating student learning trajectories and outcomes. Successful use of LADs requires teachers to orient their dashboard reviews with clear goals, apply appropriate strategies to interpret visualized information on LADs and monitor and evaluate their interpretations to meet goals. This process is known as self-regulated learning (SRL). Critical as it is, little research investigates teachers’ SRL in LAD usage. The present study addressed the gap by examining teachers’ SRL and sought to understand how teachers’ SRL relates to their use of LADs. To this end, a case study was designed in which ten participants were invited to use a LAD for asynchronous online problem-based learning. Think-aloud techniques and process mining methods were applied. The findings show that teachers were cognitive regulation in the early stage of LAD usage and became more metacognitive regulated later. The comparison of SRL between the good and the weak regulators indicates that the good self-regulators enacted more monitoring and evaluation events. Thus their regulator pattern was more non-linear. The qualitative analysis of think-aloud protocols reveals that teachers with good SRL are more likely to use the LAD to diagnose issues in student learning and collaboration. The study highlights the importance of SRL for teachers’ success in using LAD for data-driven instructions. The study also reinforces the importance of fostering teachers’ SRL, which accounts for teachers’ professional success in the digital era.

PurposeUndergraduate students often find it difficult to organize their learning activities and manage their learning. Also, teachers need dynamic pedagogical frameworks and learning technologies for supporting learners to advance their academic performance. The purpose of this paper is to investigate the effect of an ePortfolio intervention on self-regulated learning (SRL cognitive, affective, behavioral and contextual processes) and academic achievement.Design/methodology/approachFor the purposes of this study, an ePortfolio was designed and implemented based on SRL. The ePortfolio-based self-regulated learning approach (ePSRL) system encompasses the merits of a social networking platform and the functionalities of a learning management system. The participants were 123 university students (38 females and 85 males) at a computer science department. Students were randomly divided into two groups, the experimental and the control group.FindingsThe results of the study indicate that there is a significant increase of the means across SRL processes between the perceptions in the experimental and the control group. The implementation of the ePSRL approach as a learning module for undergraduate students could enable learners to manage their learning processes, transform their behavior into measurable learning outcomes and foster their academic performance.Originality/valueThis paper considers the importance of SRL and ePortfolios. Also, highlights the need of providing technology enhanced training courses and interventions to undergraduate students for supporting them to thrive during their academic studies. Thus, it proposes a set of educational affordances and practical guidelines that can be used by practitioners, instructional designers and educators in higher education as well as in vocational education and training institutions.

This chapter contains sections titled: Roots of Independent or Autonomous Learning Frames of Self‐Directed and Self‐Regulated Learning Concepts of Self‐Directed and Self‐Regulated Learning Actual State, Desiderata, and Future Prospects References

Self-regulated learning (SRL) is crucial for helping students attain high academic performance and achieve their learning objectives in the online learning context. However, learners often face challenges in properly applying SRL in online learning environments. Recent developments in artificial intelligence (AI) applications have shown promise in supporting learners’ self-regulation in online learning by measuring and augmenting SRL, but research in this area is still in its early stages. The purpose of this study is to explore students’ perceptions of the use of AI applications to support SRL and to identify the pedagogical and psychological aspects that they perceive as necessary for effective utilization of those AI applications. To explore this, a speed dating method using storyboards was employed as an exploratory design method. The study involved the development of 10 AI application storyboards to identify the phases and areas of SRL, and semi-structured interviews were conducted with 16 university students from various majors. The results indicated that learners perceived AI applications as useful for supporting metacognitive, cognitive, and behavioral regulation across different SRL areas, but not for regulating motivation. Next, regarding the use of AI applications to support SRL, learners requested consideration of three pedagogical and psychological aspects: learner identity, learner activeness, and learner position. The findings of this study offer practical implications for the design of AI applications in online learning, with the aim of supporting students’ SRL.

Despite the consensus about the importance of self-regulated learning for academic as well as for lifelong learning, it is still poorly understood as to how teachers can most effectively support their students in enacting self-regulated learning. This article provides a framework about how self-regulated learning can be activated directly through strategy instruction and indirectly by creating a learning environment that allows students to regulate their learning. In examining teachers’ instructional attempts for SRL, we systematically review the literature on classroom observation studies that have assessed how teachers support their students’ SRL. The results of the 17 retrieved studies show that in most classrooms, only little direct strategy instruction took place. Nevertheless, some teachers provided their students with learning environments that require and thus foster self-regulated learning indirectly. Based on a review of classroom observation studies, this article stresses the significance of (1) instructing SRL strategies explicitly so that students develop metacognitive knowledge and skills to integrate the application of these strategies successfully into their learning process, and (2) the necessity of complementing classroom observation research with data gathered from student and teacher self-report in order to obtain a comprehensive view of the effectiveness of teacher approaches to support SRL. Finally, we discuss ten cornerstones for future directions for research about supporting SRL.

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).

The aim of this article is to review the state of the art of research and theory development on student learning patterns in higher education and beyond. First, the learning patterns perspective and the theoretical framework are introduced. Second, research published since 2004 on student learning patterns is systematically identified and reviewed. This part includes two main sections. In the first section, new evidence on internal and external relationships of learning patterns is reviewed. Four themes are covered here: the dimensionality and the internal relationships of learning patterns and relationships of learning patterns with personal, contextual, and outcome variables. In the second section, new directions in learning patterns research are examined. These include studies on learning patterns in new international contexts and populations, longitudinal development of learning patterns over time, methodological advances in learning patterns research, and studies on fostering the quality of students' learning patterns. Next, relationships with adjacent theories on student learning are discussed, the learning patterns perspective is critically examined, and pathways are derived to move the model forward. Finally, future conceptual and methodological directions for learning patterns research are derived.

Researchers of cognitive load theory and the cognitive theory of multimedia learning have identified several strategies to optimize instructional materials. In this review article we focus on five of these strategies or solutions to problematic instructional designs in multimedia learning: (a) the multimedia principle (use visualizations and drawings to complement texts); (b) the split-attention effect or spatial contiguity principle (show texts contiguously or integrated with visualizations); (c) the redundancy effect, alike the coherence principle (remove nonessential learning information); (d) the signaling principle (cue or signal essential learning information); and (e) the transient information effect or segmenting principle (segment or control the pace of animations and videos). Usually, both cognitive theories have investigated solutions that instructors, teachers, and designers should pursue to optimize students’ learning. Here, in a novel approach, we show that these strategies can also be used by learners who want to self-manage their cognitive load and learning process. We provide several examples of both instructor- and learner-managed solutions aligned with these strategies. When assessing which agent, either the instructor or the learner, was most effective, we observed mixed results in the literature. However, the expertise reversal effect may help predict the direction of these effects: novice students may learn better under instructor-managed conditions, whereas more expert students may learn more under learner-managed conditions.

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.