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This paper reviews 78 studies on designing AI chatbots to enhance self-regulated learning (SRL) through technology, social interaction, and reflection, based on Habermas’s three knowledge interests. It identifies eight core chatbot functions that align with the phases of Zimmerman’s SRL cycle and emphasizes the importance of integrating chatbots within teacher and peer interactions to promote co-regulation and critical reflection. The findings culminate in a framework that connects chatbot features to SRL p
- Author
- 2357010324thu
- Language
- EN