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 …
Revisiting the Metacognitive and Affective Model of Self-Regulated Learning: Origins, Development, and Future Directions
A Efklides, BL Schwartz - Educational Psychology Review, 2024 - Springer
Efklides and colleagues developed the Metacognitive and Affective model of Self-Regulated
Learning (MASRL) to provide a comprehensive theoretical framework of self-regulated …
Learning (MASRL) to provide a comprehensive theoretical framework of self-regulated …
Longitudinal changes of student engagement in social annotation
The purpose of the study was to examine (a) students' social annotation behaviors and
engagement change in an undergraduate course throughout the semester, and (b) which …
engagement change in an undergraduate course throughout the semester, and (b) which …
The Dynamical Measurement and Modeling of Metacognition and Engagement using Self-report and Multimodal data with Advanced Learning Technologies
M Wiedbusch - 2023 - stars.library.ucf.edu
Interdisciplinary research has demonstrated that learning and problem solving with
advanced learning technologies (ALTs) such as intelligent tutoring systems, simulations …
advanced learning technologies (ALTs) such as intelligent tutoring systems, simulations …
[PDF][PDF] A Systematic Mapping Review at the Intersection of Artificial Intelligence and Self-Regulated Learning: A call for increased theoretical grounding, focus on …
Recently, artificial intelligence (AI) has increasingly been integrated into self-regulated
learning (SRL), presenting novel pathways to support SRL. While AI-SRL research has …
learning (SRL), presenting novel pathways to support SRL. While AI-SRL research has …