REFINE: Real-world Exploration of Interactive Feedback and Student Behaviour

📰 ArXiv cs.AI

REFINE explores interactive feedback and student behavior using large language models

advanced Published 1 Apr 2026
Action Steps
  1. Implementing REFINE in educational settings to automate feedback
  2. Analyzing student behavior and feedback interactions to improve the system
  3. Deploying REFINE locally to ensure scalability and data privacy
  4. Evaluating the effectiveness of REFINE in providing interactive and interpretable feedback
Who Needs to Know This

Educators and AI researchers on a team can benefit from REFINE as it provides timely and individualized feedback, while developers can deploy and integrate the system

Key Insight

💡 REFINE provides a novel approach to automated feedback by supporting interpretation, clarification, and follow-up

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📚 REFINE explores interactive feedback using LLMs!
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