EduExplain：教育解释集检索与故事板构建基准
原标题：EduExplain: A Benchmark for Explanation-Set Retrieval and Storyboard Construction in Educational Explanation
AI 摘要
该论文提出 EduExplain，一个面向教育解释生成的基准，覆盖解释集检索与故事板构建两个阶段。基准基于中学科学教材构建，包含 6,921 个多模态资源、2,123 个概念、321 个学习者查询及 741 个参考故事板，并提供人工验证的检索与结构化真值。实验表明首阶段检索质量主导整体表现，现成的多样性选择策略不如简单取排名靠前结果，无约束与固定模板的结构化方法均不及参考计划。
正文节选
EduExplain: A Benchmark for Explanation-Set Retrieval and Storyboard Construction in Educational Explanation Abstract Generating an educational explanation for a learner’s query is not a single retrieval step but a pipeline: a system must first retrieve a compact set of complementary resources—passages, figures, examples, activities—that jointly support an explanation, and then structure that set into an ordered, timed, role-assigned plan before it can be rendered as a lesson or video. Existing