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MOOCCubeX Large-Scale MOOC Concept-Graph Resource (Yu et al., 2021)

MOOCCubeX is a large knowledge-centered repository for adaptive learning in Massive Open Online Courses (MOOCs), released by the Tsinghua University Knowledge Engineering Group. It comprises 4{,}216 courses, 230{,}263 videos, 358{,}265 exercises, 637{,}572 fine-grained concepts, and roughly 296296 million behavioral records over 3{,}330{,}294 students, drawn from the XuetangX MOOC platform. The repository is organized around a weakly supervised fine-grained concept graph mined from course materials, so heterogeneous resources (videos, exercises, student logs, external web content) can be linked through shared concepts. Per-domain subsets — including a computer-science curriculum — are released for downstream concept-graph, prerequisite-learning, and adaptive-learning research.

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Updated 2026-05-18

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Auditable Strict-Parity Evaluation of Prerequisite-Graph Retrieval for RAG under Leakage Controls

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