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 …
Learning mechanisms explaining learning with digital tools in educational settings: A cognitive process framework
To explain successful subject matter learning with digital tools, the specification of mediating
cognitive processes is crucial for any empirical investigation. We introduce a cognitive …
cognitive processes is crucial for any empirical investigation. We introduce a cognitive …
A complex systems approach to analyzing pedagogical agents' scaffolding of self-regulated learning within an intelligent tutoring system
Abstract Self-regulated learning (SRL), learners' monitoring and control of cognitive,
affective, metacognitive, and motivational processes, is essential for learning. However …
affective, metacognitive, and motivational processes, is essential for learning. However …
Using eye tracking to examine expert-novice differences during simulated surgical training: A case study
Eye tracking data can serve as a unique metric for comparing expert-novice differences by
providing insights into attentional processes, which can lead to timely intervention and better …
providing insights into attentional processes, which can lead to timely intervention and better …
Capturing sequences of learners' self-regulatory interactions with instructional material during game-based learning using auto-recurrence quantification analysis
Undergraduate students (N= 82) learned about microbiology with Crystal Island, a game-
based learning environment (GBLE), which required participants to interact with instructional …
based learning environment (GBLE), which required participants to interact with instructional …
Unpacking perceived risks and AI trust influences pre-service teachers' AI acceptance: A structural equation modeling-based multi-group analysis
Artificial intelligence (AI) integration in education has grown significantly recently. However,
the potential risks of AI have led to educators being wary of implementing AI systems. To …
the potential risks of AI have led to educators being wary of implementing AI systems. To …
Student profiles of change in a university course: A complex dynamical systems perspective
Learning analytics approaches to profiling students based on their study behaviour remain
limited in how they integrate temporality and change. To advance this area of work, the …
limited in how they integrate temporality and change. To advance this area of work, the …
Supporting self-regulated learning in clinical problem-solving with a computer-based learning environment: the effectiveness of scaffolds
Computer-supported scaffolding plays a pivotal role in advancing problem-solving skills and
improving cognitive learning outcomes in self-regulated learning. However, there is limited …
improving cognitive learning outcomes in self-regulated learning. However, there is limited …
Using multilayer network analysis to detect the collaborative knowledge construction characteristics among learner groups with low, medium, and high levels of …
Collaborative knowledge construction (CKC) is advanced by group members' cognitive
engagement across three levels: individual-level knowledge processing and proposing, the …
engagement across three levels: individual-level knowledge processing and proposing, the …
Examining the Interplay between Self-Regulated Learning Activities and Types of Knowledge within a Computer-Simulated Environment.
This study examines the temporal co-occurrences of self-regulated learning (SRL) activities
and three types of knowledge (ie, task information, domain knowledge, and metacognitive …
and three types of knowledge (ie, task information, domain knowledge, and metacognitive …