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Peter Pavlis – Online Submission, 2025
This quantitative, quasi-experimental study aimed to propose research-based AI constructivist learning activities by measuring students' self-perceptions of their critical thinking using the Motivational Strategies and Learning Questionnaire (MSLQ). The study utilized the input-experience-output framework to evaluate how these learning pursuits…
Descriptors: Critical Thinking, Artificial Intelligence, Constructivism (Learning), Learning Activities
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Song, Donggil; Kim, Dongho – Journal of Research on Technology in Education, 2021
The aim of this study is to investigate whether an interactive self-regulation scaffolding increases levels of online learners' self-regulated learning skills, course participation, and learning performance. The intervention utilizes a dialog approach with an intelligent conversational agent to scaffold learners' self-regulated learning. Fifty-six…
Descriptors: Metacognition, Scaffolding (Teaching Technique), Student Participation, Learning Strategies