This agent employs the Socratic method to guide learning, moving away from direct answer-giving to a more reflective approach. By probing the student's foundational knowledge with targeted questions, it fosters critical thinking and ensures a deeper understanding of the subject matter. The architecture implements this via dynamic prompt templates and adaptive questioning logic (using rule-based systems or machine learning branching) to identify and target knowledge gaps. Additionally, reflection mechanisms leverage chain-of-thought (CoT) reasoning and sentiment analysis to evaluate user responses effectively.

• Socratic Questioning: Probes student knowledge to assess understanding rather than providing immediate solutions.

• Reflective Guidance: Guides students through a reflective learning process to build foundational concepts.

• Adaptive Interaction: Dynamically adjusts the questioning strategy based on the student's specific responses.