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 …
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 …
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 …
Exploiting object-of-interest information to understand attention in VR classrooms
Recent developments in computer graphics and hardware technology enable easy access
to virtual reality headsets along with integrated eye trackers, leading to mass usage of such …
to virtual reality headsets along with integrated eye trackers, leading to mass usage of such …
Affective dynamics and cognition during game-based learning
Inability to regulate affective states can impact one's capacity to engage in higher-order
thinking like scientific reasoning with game-based learning environments. Many efforts have …
thinking like scientific reasoning with game-based learning environments. Many efforts have …
[HTML][HTML] Understanding optimal problem-solving in a digital game: The interplay of learner attributes and learning behavior
Educational video games, with various motivational features and scaffolding support, have
high potential for facilitating optimal learning and achievement. However, research on how …
high potential for facilitating optimal learning and achievement. However, research on how …
A multi-level growth modeling approach to measuring learner attention with metacognitive pedagogical agents
Pedagogical agents have been designed to support the significant challenges that learners
face when self-regulating in advanced learning environments. Evidence suggests …
face when self-regulating in advanced learning environments. Evidence suggests …
Dispositional learning analytics for supporting individualized learning feedback
D Tempelaar, B Rienties, Q Nguyen - Frontiers in education, 2021 - frontiersin.org
An important goal of learning analytics (LA) is to improve learning by providing students with
meaningful feedback. Feedback is often generated by prediction models of student success …
meaningful feedback. Feedback is often generated by prediction models of student success …
System design for using multimodal trace data in modeling self-regulated learning
Self-regulated learning (SRL) integrates monitoring and controlling of cognitive, affective,
metacognitive, and motivational processes during learning in pursuit of goals. Researchers …
metacognitive, and motivational processes during learning in pursuit of goals. Researchers …
[PDF][PDF] Game-based learning analytics for supporting adolescents' reflection
Reflection is critical for adolescents' problem solving and learning in game-based learning
environments (GBLEs). Yet challenges exist in the literature because most studies lack a …
environments (GBLEs). Yet challenges exist in the literature because most studies lack a …