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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 …
Lessons learned and future directions of MetaTutor: Leveraging multichannel data to scaffold self-regulated learning with an intelligent tutoring system
Self-regulated learning (SRL) is critical for learning across tasks, domains, and contexts.
Despite its importance, research shows that not all learners are equally skilled at accurately …
Despite its importance, research shows that not all learners are equally skilled at accurately …
The agency effect: The impact of student agency on learning, emotions, and problem-solving behaviors in a game-based learning environment
Game-based learning environments are designed to foster high levels of student
engagement and motivation during learning of complex topics. Game-based learning …
engagement and motivation during learning of complex topics. Game-based learning …
Reflections on the field of metacognition: Issues, challenges, and opportunities
R Azevedo - Metacognition and Learning, 2020 - Springer
There have been major advances in the field of metacognition since I took over as the
editorin-chief of the Metacognition and Learning journal in 2011. As the former editor of the …
editorin-chief of the Metacognition and Learning journal in 2011. As the former editor of the …
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 …
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 …
Academic procrastination, incentivized and self-selected spaced practice, and quiz performance in an online programming problem system: An intensive longitudinal …
Time management is crucial for college students' academic success and learning of
computer programming. Yet the changes of time management behaviors and their …
computer programming. Yet the changes of time management behaviors and their …
What would the matrix do?: A systematic review of K-12 AI learning contexts and learner-interface interactions
This systematic review examines the empirical literature published between 2014 and 2021
that situates artificial intelligence within K-12 educational contexts. Our review synthesizes …
that situates artificial intelligence within K-12 educational contexts. Our review synthesizes …