Educational Design Principles of Using AI Chatbot That Supports Self-Regulated Learning in Education: Goal Setting, Feedback, and Personalization

The invention of ChatGPT and generative AI technologies presents educators with significant challenges, as concerns arise regarding students potentially exploiting these tools unethically, misrepresenting their work, or gaining academic merits without active participation in the learning process. To effectively navigate this shift, it is crucial to embrace a contemporary educational trend establish pedagogical principles for properly utilizing emerging like promote self-regulation. Rather than suppressing AI-driven tools, should foster collaborations among stakeholders, including educators, instructional designers, researchers, developers. This paper proposes three key integrating chatbots classrooms, informed by Zimmerman’s Self-Regulated Learning (SRL) framework Judgment (JOL). We argue that current conceptualization education inadequate, so we advocate incorporation goal setting (prompting), self-assessment feedback, personalization essential principles. First, propose teaching prompting important developing students’ SRL. Second, configuring reverse chatbot’s capability will help guide SRL monitoring understanding. Third, data-driven mechanism enables an chatbot provide analytics helps learners reflect on develop strategies. By bringing JOL, aim guidelines implementing contexts, focus promoting self-regulation higher through AI-assisted pedagogy design.