bigdata-ustc/Agent4Edu
Agent4Edu: Generating Learner Response Data by LLM-based Agents for Intelligent Education Systems (AAAI 2025)
This project helps educators and researchers create realistic student response data for developing and testing intelligent education systems. It takes in educational content and desired learner characteristics, then outputs simulated student answers and interactions. This is ideal for those building AI tutors, adaptive learning platforms, or assessment tools.
No commits in the last 6 months.
Use this if you need to generate a large amount of synthetic yet realistic student response data to train and evaluate AI-powered educational tools without needing actual student participation.
Not ideal if you require real-world, observed student data for your research or application, as this tool provides simulated responses.
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72
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12
Language
Python
License
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Last pushed
May 10, 2025
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