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Ryan S. Baker; Stephen Hutt; Nigel Bosch; Jaclyn Ocumpaugh; Gautam Biswas; Luc Paquette; J. M. Alexandra Andres; Nidhi Nasiar; Anabil Munshi – Educational Technology Research and Development, 2024
In this paper, we propose a new method for selecting cases for in situ, immediate interview research: detector-driven classroom interviewing (DDCI). Published work in educational data mining and learning analytics has yielded highly scalable measures that can detect key aspects of student interaction with computer-based learning in close to…
Descriptors: Electronic Learning, Anxiety, Metacognition, Data Collection
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Amine Hatun Atas; Zahide Yildirim – Educational Technology Research and Development, 2025
This study advances the emerging research on shared metacognition through the lens of the community of inquiry framework. It seeks components and utterances of the community of inquiry and shared metacognition in online collaborative learning environments to bring an instructional design model to the fore. A three-cycle design-based research…
Descriptors: Metacognition, Instructional Design, Models, Electronic Learning
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Inka Sara Hähnlein; Pablo Pirnay-Dummer – Educational Technology Research and Development, 2024
Multiple document comprehension and knowledge integration across domains are particularly important for pre-service teachers, as integrated professional knowledge forms the basis for teaching expertise and competence. This study examines the effects of instructional prompts and relevance prompts embedded in pre-service teachers' learning processes…
Descriptors: Preservice Teachers, Prompting, Cues, Learning Processes