Measuring self-regulated learning and the role of AI: Five years of research using multimodal multichannel data
Learning sciences are embracing the significant role technologies can play to better detect,
diagnose, and act upon self-regulated learning (SRL). The field of SRL is challenged with …
diagnose, and act upon self-regulated learning (SRL). The field of SRL is challenged with …
Motivation-achievement cycles in learning: A literature review and research agenda
The question of how learners' motivation influences their academic achievement and vice
versa has been the subject of intensive research due to its theoretical relevance and …
versa has been the subject of intensive research due to its theoretical relevance and …
[HTML][HTML] Predicting regulatory activities for socially shared regulation to optimize collaborative learning
This study utilized multimodal learning analytics and AI-based methods to examine the
patterns of the socially shared regulation of collaborative learning (CL). The study involved …
patterns of the socially shared regulation of collaborative learning (CL). The study involved …
Examining socially shared regulation and shared physiological arousal events with multimodal learning analytics
Socially shared regulation contributes to the success of collaborative learning. However, the
assessment of socially shared regulation of learning (SSRL) faces several challenges in the …
assessment of socially shared regulation of learning (SSRL) faces several challenges in the …
Emotional regulation in collaborative learning: When do higher education students activate group level regulation in the face of challenges?
This study focuses on emotion regulation in the challenging situation of collaborative
learning. The aim is to explore what type of challenges trigger group-level emotion …
learning. The aim is to explore what type of challenges trigger group-level emotion …
Capturing the dynamic and cyclical nature of regulation: Methodological Progress in understanding socially shared regulation in learning
Self-regulation is critical for successful learning, and socially shared regulation contributes
to productive collaborative learning. The problem is that the psychological processes at the …
to productive collaborative learning. The problem is that the psychological processes at the …
The End is the Beginning is the End: The closed-loop learning analytics framework
This article provides a comprehensive review of current practices and methodologies within
the field of learning analytics, structured around a dedicated closed-loop framework. This …
the field of learning analytics, structured around a dedicated closed-loop framework. This …
[HTML][HTML] Socio-emotional interaction in collaborative learning: Combining individual emotional experiences and group-level emotion regulation
This study explores how groups' negative socio-emotional interactions and related emotion
regulation during a collaborative physics task are interconnected with 12-year-old primary …
regulation during a collaborative physics task are interconnected with 12-year-old primary …
How the monitoring events of individual students are associated with phases of regulation: A network analysis approach
The current study uses a within-person temporal and sequential analysis to understand
individual learning processes as part of collaborative learning. Contemporary perspectives …
individual learning processes as part of collaborative learning. Contemporary perspectives …
Investigating students' emotional self-efficacy profiles and their relations to self-regulation, motivation, and academic performance in online learning contexts: A person …
J Yu, C Huang, T He, X Wang, L Zhang - Education and Information …, 2022 - Springer
Emotional self-efficacy is a vital component in student academic engagement and
performance, but few studies have identified emotional self-efficacy profiles from a person …
performance, but few studies have identified emotional self-efficacy profiles from a person …