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Synapse
September 20, 2025

LLM-based Collaborative Agents with Pedagogy-guided Interaction Modeling for Timely Instructive Feedback Generation in Task-oriented Group Discussions

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Authors

QYQihao YangYYYu YangSASungeun An

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Overview

This approach demonstrates effective instructive feedback generation in task-oriented group discussions, highlighting its pedagogical adaptability.

Key Points

  • Instructive feedback is generated at the right time to enhance collaborative learning outcomes, fostering better student engagement.
  • The proposed agent utilizes the Community of Inquiry theory to model interaction stages effectively, leading to improved learning experiences.
  • A multi-agent interaction framework simulates student-tutor interactions, allowing for better guidance during group discussions.
  • Extensive experiments validate the agent's performance, potentially mimicking human teachers in collaborative environments.

Cite This Study

Yang et al. (2024) studied this question.

synapsesocial.com/papers/68d4764e31b076d99fa6e706https://doi.org/10.24963/ijcai.2024/1108
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