Measuring self-regulated learning and the role of AI: Five years of research using multimodal multichannel data

I Molenaar, S de Mooij, R Azevedo, M Bannert… - Computers in Human …, 2023 - Elsevier
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 …

Lessons learned and future directions of MetaTutor: Leveraging multichannel data to scaffold self-regulated learning with an intelligent tutoring system

R Azevedo, F Bouchet, M Duffy, J Harley… - Frontiers in …, 2022 - frontiersin.org
Self-regulated learning (SRL) is critical for learning across tasks, domains, and contexts.
Despite its importance, research shows that not all learners are equally skilled at accurately …

What can online traces tell us about students' self-regulated learning? A systematic review of online trace data analysis

J Du, KF Hew, L Liu - Computers & Education, 2023 - Elsevier
Abstract “Self-regulated learning”(SRL) is defined as taking responsibility for one's own
learning. Self-regulatory skills are crucial to learners' success in the online learning context …

[HTML][HTML] Temporally-focused analytics of self-regulated learning: A systematic review of literature

J Saint, Y Fan, D Gašević, A Pardo - Computers and education: Artificial …, 2022 - Elsevier
We present a systematic literature review of data-driven self-regulated learning (SRL) that
emphasises the methodological importance of temporality and sequence, as opposed to …

Towards investigating the validity of measurement of self-regulated learning based on trace data

Y Fan, J van der Graaf, L Lim, M Raković… - Metacognition and …, 2022 - Springer
Contemporary research that looks at self-regulated learning (SRL) as processes of learning
events derived from trace data has attracted increasing interest over the past decade …

Improving the measurement of self-regulated learning using multi-channel data

Y Fan, L Lim, J Van der Graaf, J Kilgour… - Metacognition and …, 2022 - Springer
In recent years, unobtrusive measures of self-regulated learning (SRL) processes based on
log data recorded by digital learning environments have attracted increasing attention …

[HTML][HTML] Self-regulated learning strategies in continuing education: A systematic review and meta-analysis

YM Hemmler, D Ifenthaler - Educational Research Review, 2024 - Elsevier
Self-regulated learning (SRL) has been considered a key competence for continuing
education (CE). The present systematic review and meta-analysis investigated factors …

Utilizing artificial intelligence to support analyzing self-regulated learning: A preliminary mixed-methods evaluation from a human-centered perspective

CY Wang, JJH Lin - Computers in Human Behavior, 2023 - Elsevier
Analyzing the self-regulatory process of complex science learning is a serious challenge as
it takes considerable time to train coders and do real-time assessment of a learner's …

Beware of metacognitive laziness: Effects of generative artificial intelligence on learning motivation, processes, and performance

Y Fan, L Tang, H Le, K Shen, S Tan… - British Journal of …, 2024 - Wiley Online Library
With the continuous development of technological and educational innovation, learners
nowadays can obtain a variety of supports from agents such as teachers, peers, education …

Towards a fuller picture: Triangulation and integration of the measurement of self‐regulated learning based on trace and think aloud data

Y Fan, M Rakovic, J van Der Graaf… - Journal of Computer …, 2023 - Wiley Online Library
Background Many learners struggle to productively self‐regulate their learning. To support
the learners' self‐regulated learning (SRL) and boost their achievement, it is essential to …