This study focuses on the problem that the process of building learning habits has not been clearly described. Therefore, we aim to extract the stages of learning habits from log data. We propose a data model to extract stages of learning habits based on the transtheoretical model and apply the model to the learning logs of self-directed extensive…

Deep learning techniques are being unified for decision support in various applications. However, it remains challenging to train robust deep learning models, due to the inherent insufficient labeled data that is usually time-consuming and labor-intensive. Self-supervised learning is a feature representation learning paradigm to learn robust…

Educational Design and Evaluation Models are important factors in e-learning as they provide guidance information for proper strategy organization pursuing both specific learning outcomes and ensuring the main elements of e-learning, such as self-regulation and collaborative learning. The examined educational models of ADDIE, Bloom, and…

Based on the existing 3P model, this paper constructed a new 3P model under the blended-project-based learning (BPBL) environment, used the course teaching data to verify this model, and revealed the potential factors that affect the learning process and learning outcomes. The results showed that the presage variables of academic motivation and…

Purpose: The purpose of this research is to explore how and to what extent the Blended Learning Classroom (BLC) model enhances students' learning experience. The creation of the BLC model was to provide different learning approaches to overcome the challenges in the new normal regarding how we could manage the Thailand Lesson Study Incorporated…

Learning Management Systems (LMS) have gained importance in the last few years; however, the emergence of COVID-19 disease made these systems indispensable for educational systems. In the post-pandemic scenario and blended learning contexts, this kind of information system is also becoming more critical as a support system. Therefore, this…

Integrating the two dominant theories of self-regulated learning (SRL) and cognitive engagement could advance our understanding of what makes students more efficient, effective learners. An integration of these theories has yet to be explored, and this paper addresses this gap by proposing a novel integrative model of SRL engagement. Specifically,…

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…

As the articles in this special issue on "Psychological Perspectives on the Effects and Effectiveness of Assessment Feedback" have shown, feedback is a key factor in education. Although there exists a substantial body of research on the topic, it is imperative to continue advancing the field. My aim is to outline five steps to solidify…

In the era of 21st century learning, many secondary students with learning disabilities continue to struggle with mathematics problem solving. Emerging evidence suggests self-regulated strategy development can be combined with existing evidence-based and promising practices during mathematics instruction. These practices include explicit…

We present a conceptual framework that leverages synergies between classroom assessment (CA) practices and self-regulated learning (SRL) theory to support academic growth and instruction. We articulate the processes shared by CA and SRL, drawing on a model of SRL with three phases: forethought, performance, and self-reflection. We blend this SRL…

We investigated the effects of a learning analytics-driven prediction modeling platform and a brief digital self-regulated learning skill training program targeted to support undergraduate biology students identified as likely to perform poorly in the course. A prediction model comprising prior knowledge scores and learning management system log…

In self-regulated learning (SRL), students organize, monitor, direct, and regulate their learning. In SRL, monitoring plays a critical role in generating internal feedback and thus adopting appropriate regulations. However, students may have poor SRL processes and performance due to their poor monitoring. Researchers have suggested providing…

Present-day society calls for new student-centred didactic methodologies that make the student an active participant in their learning process. Strategies aimed at training citizens and professionals must adapt and respond to a society that is constantly changing. In this context, self-regulated learning and educational co-design emerge as key…

Procrastination is a delay in an intended course of action and, thus, a self-regulation failure hindering growth and well-being. Contrarily, self-regulation is a set of cognitive and metacognitive skills and strategies supporting goal-directed behavior. There is ongoing discussion regarding the extent to which (and the ways in which) promoting…