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arXiv· arXiv:2602.15531· Javier Irigoyen, Roberto Daza, Aythami Morales, Julian Fierrez, Francisco Jurado, Alvaro Ortigosa, Ruben Tolosana·Indexed by this site · Originally published

EduEVAL-DB: A role-based dataset for pedagogical risk assessment of educational explanations

EduEVAL-DB: A Role-Based Dataset for Pedagogical Risk Evaluation in Educational Explanations

AI summary

EduEVAL-DB is a role-based dataset for pedagogical risk assessment of educational explanations, containing 854 explanations corresponding to 139 questions from ScienceQA. Each question has 1 human teacher explanation and 6 generated by LLM-simulated teacher roles, covering K-12 science, language, and social science, and is annotated with binary labels via a five-dimensional pedagogical risk rubric with expert review. Preliminary validation compares Gemini 2.5 Pro with a local Llama 3.1 8B and tests risk detection after supervised fine-tuning.

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