Fine-grained causal effect estimation of learning resources via dynamic causal heterogeneous graph neural networks
Abstract Effect evaluation of learning resources in online education platforms is crucial for optimizing instructional strategies and enabling personalized learning. However, conventional methods struggle to address the inherent challenges posed by the heterogeneous graph structure of student-resour...
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| Autori principali: | , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
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Nature Portfolio
2026-01-01
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| Serie: | Scientific Reports |
| Soggetti: | |
| Accesso online: | https://doi.org/10.1038/s41598-025-34421-5 |
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