Researchers have developed Earthquaker-AI, a framework that integrates a conversational AI assistant with a robotics project to improve earthquake education for primary school students. The system uses Retrieval-Augmented Generation (RAG) to provide accurate responses and feedback, aligning student actions with safety guidelines. It progresses from simple multiple-choice questions in early grades to written responses in upper grades, assessing clarity and safety knowledge through rubrics. The hybrid approach combines hands-on robotics with AI-driven learning to foster technological literacy and crisis-management skills. AI
IMPACT This framework demonstrates a novel application of RAG in education, potentially improving learning outcomes for critical safety topics.
RANK_REASON The cluster contains a research paper detailing a novel AI framework for educational purposes.
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- alphaXiv
- arXiv
- CatalyzeX
- DagsHub
- Earthquaker-AI
- Gotit.pub
- Hugging Face
- Lego WeDo2
- retrieval-augmented generation
- ScienceCast
- Science Technology Engineering Mathematics
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