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 …

Self-regulation

JA Greene, ML Bernacki… - Handbook of educational …, 2024 - taylorfrancis.com
One purpose of modern education is to help people develop the agency to set and achieve
their desired goals across contexts and throughout their lifespan. To do this, people must …

Human and artificial intelligence collaboration for socially shared regulation in learning

S Järvelä, A Nguyen, A Hadwin - British Journal of Educational …, 2023 - Wiley Online Library
Artificial intelligence (AI) has generated a plethora of new opportunities, potential and
challenges for understanding and supporting learning. In this paper, we position human and …

Examining socially shared regulation and shared physiological arousal events with multimodal learning analytics

A Nguyen, S Järvelä, C Rosé… - British Journal of …, 2023 - Wiley Online Library
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 …

Digital collaborative learning in nursing education: a systematic review

M Männistö, K Mikkonen, HM Kuivila… - … journal of caring …, 2020 - Wiley Online Library
Objectives The aim of this systematic review was to evaluate the effectiveness of educational
interventions in digital collaborative learning implemented in nursing education. Design A …

Bridging learning sciences, machine learning and affective computing for understanding cognition and affect in collaborative learning

S Järvelä, D Gašević, T Seppänen… - British Journal of …, 2020 - Wiley Online Library
Collaborative learning (CL) can be a powerful method for sharing understanding between
learners. To this end, strategic regulation of processes, such as cognition and affect …

Towards collaboration translucence: Giving meaning to multimodal group data

V Echeverria, R Martinez-Maldonado… - Proceedings of the …, 2019 - dl.acm.org
Collocated, face-to-face teamwork remains a pervasive mode of working, which is hard to
replicate online. Team members' embodied, multimodal interaction with each other and …

Capturing self‐regulated learning processes in virtual reality: Causal sequencing of multimodal data

M Sobocinski, D Dever, M Wiedbusch… - British Journal of …, 2024 - Wiley Online Library
This study examines the embodied ways in which learners monitor their cognition while
learning about exponential functions in an immersive virtual reality (VR) based game …

What do you mean by collaboration analytics? A conceptual model

R Martinez-Maldonado, D Gašević… - Journal of Learning …, 2021 - opus.lib.uts.edu.au
Using data to generate a deeper understanding of collaborative learning is not new, but
automatically analyzing log data has enabled new means of identifying key indicators of …

The effects of group metacognitive scaffolding on group metacognitive behaviors, group performance, and cognitive load in computer-supported collaborative learning

L Zheng, X Li, X Zhang, W Sun - The Internet and Higher Education, 2019 - Elsevier
Previous studies have reported the importance of metacognition on learning performance.
However, little effort has been made to develop group metacognitive scaffolding (GMS) in …