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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