MOSAIC combines frozen-LLM semantic embeddings with hierarchical consistency objectives to report up to 3.4% AUC gains on knowledge-tracing benchmarks including a new MOOC dataset.
IEEE Transactions on Knowledge and Data Engineering 33(1), 100–115 (2021)
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Multimodal textbook features from review questions improve student quiz score prediction by 9.1% over a prior-performance baseline across 4,742 observations in CourseKata data.
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MOSAIC: Orchestrating Collaborative Knowledge Tracing with Hierarchical Semantic Alignment
MOSAIC combines frozen-LLM semantic embeddings with hierarchical consistency objectives to report up to 3.4% AUC gains on knowledge-tracing benchmarks including a new MOOC dataset.
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Context-Aware Prediction of Student Quiz Performance with Multimodal Textbook Features
Multimodal textbook features from review questions improve student quiz score prediction by 9.1% over a prior-performance baseline across 4,742 observations in CourseKata data.