Detecting emotions through electrodermal activity in learning contexts: A systematic review
There is a strong increase in the use of devices that measure physiological arousal through
electrodermal activity (EDA). Although there is a long tradition of studying emotions during …
electrodermal activity (EDA). Although there is a long tradition of studying emotions during …
The role of learning theory in multimodal learning analytics
M Giannakos, M Cukurova - British Journal of Educational …, 2023 - Wiley Online Library
This study presents the outcomes of a semi‐systematic literature review on the role of
learning theory in multimodal learning analytics (MMLA) research. Based on previous …
learning theory in multimodal learning analytics (MMLA) research. Based on previous …
Analyzing multimodal multichannel data about self-regulated learning with advanced learning technologies: Issues and challenges
Analyzing multimodal multichannel data about self-regulated learning (SRL) obtained
during the use of advanced learning technologies such as intelligent tutoring systems …
during the use of advanced learning technologies such as intelligent tutoring systems …
[HTML][HTML] The concept of hybrid human-AI regulation: Exemplifying how to support young learners' self-regulated learning
I Molenaar - Computers and Education: Artificial Intelligence, 2022 - Elsevier
Hybrid systems combining artificial and human intelligence hold great promise for training
human skills. In this paper, I position the concept of Hybrid Human-AI Regulation and …
human skills. In this paper, I position the concept of Hybrid Human-AI Regulation and …
Scalability, sustainability, and ethicality of multimodal learning analytics
Multimodal Learning Analytics (MMLA) innovations are commonly aimed at supporting
learners in physical learning spaces through state-of-the-art sensing technologies and …
learners in physical learning spaces through state-of-the-art sensing technologies and …
[HTML][HTML] What multimodal data can tell us about the students' regulation of their learning process?
Highlights•New data-capturing devices allow researchers trace a range of cognitive and
noncognitive processes.•We discuss and demonstrate how by data triangulating it is …
noncognitive processes.•We discuss and demonstrate how by data triangulating it is …
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 …
their desired goals across contexts and throughout their lifespan. To do this, people must …
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 …
Exploring students' cognitive and affective states during problem solving through multimodal data: Lessons learned from a programming activity
Background Problem‐solving is a multidimensional and dynamic process that requires and
interlinks cognitive, metacognitive, and affective dimensions of learning. However, current …
interlinks cognitive, metacognitive, and affective dimensions of learning. However, current …
Bridging learning sciences, machine learning and affective computing for understanding cognition and affect in collaborative learning
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 …
learners. To this end, strategic regulation of processes, such as cognition and affect …