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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

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KV Aditya Srivatsa

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#artificial intelligence Mar 2026

Can LLMs Model Incorrect Student Reasoning? A Case Study on Distractor Generation

This work examines how large language models reason about misconceptions when generating distractor answers for multiple-choice questions (MCQs) and introduces a taxonomy over reasoning strategies for distractor generation that is grounded in learning-science literature and empirical observation.

Yanick Zengaffinen, Andreas Opedal, Donya Rooein et al. · 2 citations

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