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 …
Evaluating recent advances in affective intelligent tutoring systems: A scoping review of educational impacts and future prospects
J Fernández-Herrero - 2024 - rua.ua.es
Affective intelligent tutoring systems (ATSs) are gaining recognition for their role in
personalized learning through adaptive automated education based on students' affective …
personalized learning through adaptive automated education based on students' affective …
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 …
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 …
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 …
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 …
The Roles of Pedagogical Agent's Emotional Support: Dynamics Between Emotions and Learning Strategies in Multimedia Learning
The present research conducted two experiments with an intelligent tutoring system to
investigate the overall and dynamic impact of emotional support from a pedagogical agent …
investigate the overall and dynamic impact of emotional support from a pedagogical agent …
Multimodal measurements enhance insights into emotional responses to immediate feedback
A Horvers, I Molenaar, H Van Der West… - Frontiers in …, 2024 - frontiersin.org
Adaptive learning technologies often provide students with immediate feedback on task
performance. This feedback can elicit various emotional responses, which, in turn, influence …
performance. This feedback can elicit various emotional responses, which, in turn, influence …
Analyzing the time-series relationship between learning atmosphere, negative emotions, and academic engagement in language learners
J Qi - Innovation in Language Learning and Teaching, 2024 - Taylor & Francis
This study examines the time-series relationships among learning atmosphere, negative
emotions, and academic engagement in 638 non-English major students at a university in …
emotions, and academic engagement in 638 non-English major students at a university in …