[HTML][HTML] 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 …
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 …
Investigating pedagogical agents' scaffolding of self‐regulated learning in relation to learners' subgoals
Intelligent tutoring systems (ITSs) incorporate pedagogical agents (PAs) to scaffold learners'
self‐regulated learning (SRL) via prompts and feedback to promote learners' monitoring and …
self‐regulated learning (SRL) via prompts and feedback to promote learners' monitoring and …
Pedagogical agent support and its relationship to learners' self-regulated learning strategy use with an intelligent tutoring system
Oftentimes learners are unable to engage in effective self-regulated learning (SRL)
strategies while learning about complex topics. To combat this, intelligent tutoring systems …
strategies while learning about complex topics. To combat this, intelligent tutoring systems …
[HTML][HTML] 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 …
Analytical Approaches for Examining Learners' Emerging Self-regulated Learning Complex Behaviors with an Intelligent Tutoring System
Abstract Self-regulated learning (SRL), or the ability for a learner to monitor and change their
cognitive, affective, metacognitive, and motivational processes, is a critical skill to enact …
cognitive, affective, metacognitive, and motivational processes, is a critical skill to enact …
STEM STUDENTS'ENGLISH LANGUAGE LEARNING STRATEGIES AND UNDERLYING FACTORS PERTAINING TO OPEN DISTANCE LEARNING
NJA Ghulamuddin, TIST Sharif… - Journal of Nusantara …, 2022 - journal.unisza.edu.my
Background and Purpose: The COVID19 pandemic challenges on learning necessitate the
understanding of students' Language Learning Strategies (LLS). Studies on science …
understanding of students' Language Learning Strategies (LLS). Studies on science …
Clustering Learner's Metacognitive Judgment Accuracy and Bias to Explore Learning with AIEd Systems
Metacognitive monitoring and regulation are key dynamic psychological processes in
predicting learning, reasoning, and problem solving across AIEd systems. They are …
predicting learning, reasoning, and problem solving across AIEd systems. They are …
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] Enhancing Learner Models for Pedagogical Agent Scaffolding of Self-Regulated Learning
Self-regulated learning (SRL) processes for monitoring and modulating one's own cognition,
affect, metacognition, and motivation are essential for effective learning within intelligent …
affect, metacognition, and motivation are essential for effective learning within intelligent …