Self-regulated learning (SRL) is critical in online learning, and profiling learners' SRL patterns is needed to provide personalized support. However, little research has examined how each learner performs the cyclical phases of SRL based on trace data. To fill the gap, this study attempts to derive SRL profiles encompassing all cyclical phases of…

Effective learning design (LD) grounded in sound pedagogy is a critical driver of student success. Therefore, it is important to explore how LD of online learning environments influences student ability to manage their own learning. This understanding can inform the development of online programs that prioritize student-driven learning. Research…

Smartphone addiction (SA) has become a pervasive issue among university students. Therefore, it is important to better understand the conditions under which SA develops. Previous studies indicate that fear of missing out (FoMO), a psychological barrier to behavioural self-regulation, is often associated with SA risk. In the pedagogical context,…

This chapter describes the implementation and impact of a remediation program in the health sciences. Lessons learned are explored based on common academic difficulties students experience in remediation programs with an emphasis on self-regulated learning outcomes.

It is well-established that being a self-regulated learner is beneficial academically, motivationally and is considered essential for productive life-long learning. Despite this, there is limited evidence examining how different measures of self-regulation for learning (SRL) relate to task performance for young students learning in digital…

Self-regulated learning is an essential skill that can help students plan, monitor, and reflect on their learning in order to achieve their learning goals. However, in situations where there is a lack of effective feedback and recommendations, it becomes challenging for students to self-regulate their learning. In this paper, we propose an…

Despite the proliferation of massive open online courses (MOOCs) and the impressive levels of enrolment they attract, many participants do not complete these courses. High drop-out has been identified as one of the major problems with existing MOOC formats. Our work addresses two factors relating to non-completion. Firstly, MOOCs require a high…

Effective emotion regulation is critical for establishing and maintaining positive relationships, and it has previously been linked to several indicators of social competence. Theories agree that one core characteristic of adaptive emotion regulation is the ability to flexibly adapt emotion regulation strategies to situational demands (i.e.,…

There is currently widespread interest in how to promote self-regulated learning (SRL) among young learners to prepare the stage for success in later years. Yet, there is little research that explores primary school students' perspectives and strategies which are known to directly influence their SRL engagement. We conducted semi-structured…

Purpose: This study aims to investigate a unique approach to learning languages through self-directed online learning. Specifically, it explores the self-management abilities and skills learners need while learning a language outside traditional classroom settings when using mobile-assisted learning technology. Design/methodology/approach: A…

Given the increasing number of learners in massive open online courses (MOOCs), students' self-directed learning (SDL) skills are necessary for their success. The purpose of this study was to explore learners' motivation for enrolling in MOOCs and their SDL strategies, as well as instructional elements that support SDL from learners' perspectives.…

Purpose: This study addresses gaps in the existing literature on students' understanding of Independent Learning (IL), whilst exploring the link between levels of IL, growth mindset, motivated strategies for learning and academic performance. Design/methodology/approach: Three hundred and eighty-six university students recruited via opportunistic…

This research aims to analyze the relations from motivation to self-regulatory strategy on academic achievement in high school among academically higher-achieving students. Methods in autoregressive cross-lagged modeling by Mplus8.5 are used to evaluate 309 high school students with higher achievement in language or mathematics from the Korean…

As generative AI tools are increasingly popular in today's teaching and learning process, challenges and opportunities occur at the same time. Self-directed learning has been regarded as a powerful learning ability that supports learners in informal learning contexts and its importance rises in salience when incorporating AI into learning. This…

This study investigated the intervention of a weekly learning diary on design students' self-regulated learning in an online learning environment. A total of 54 undergraduate students from an intermediate and an advanced course respectively participated in this study. In a 7-week period of online learning, the students had to complete a course…