The authors introduce Agentivism as a learning theory for human-AI interaction that explains how durable capability develops through selective delegation, epistemic monitoring, reconstructive internalization, and transfer under reduced support.
Interactions with generative AI chat- bots: unveiling dialogic dynamics, students’ perceptions, and practical competen- cies in creative problem-solving
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A human-reviewed AI-in-the-loop system in cMOOCs selectively improves social presence and higher-order cognitive presence via reciprocal interaction and adaptive roles rather than AI co-presence.
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Agentivism: a learning theory for the age of artificial intelligence
The authors introduce Agentivism as a learning theory for human-AI interaction that explains how durable capability develops through selective delegation, epistemic monitoring, reconstructive internalization, and transfer under reduced support.
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Designing Human-GenAI Interaction for cMOOC Discussion Facilitation: Effects of a Collaborative AI-in-the-Loop Workflow on Social and Cognitive Presence
A human-reviewed AI-in-the-loop system in cMOOCs selectively improves social presence and higher-order cognitive presence via reciprocal interaction and adaptive roles rather than AI co-presence.