Papers with teacher and learner agents

1 papers
Conversational Education at Scale: A Multi-LLM Agent Workflow for Procedural Learning and Pedagogic Quality Assessment (2025.findings-emnlp)

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Challenge: Existing work on large language models lacks scalability and assesses pedagogic quality.
Approach: They propose a multi-agent workflow leveraging large language models to simulate interactive teaching-learning conversations.
Outcome: The proposed workflow integrates teacher and learner agents, an interaction manager, and an evaluator to facilitate procedural learning and assess pedagogic quality.

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