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KTbench: A Novel Data Leakage-Free Framework for Knowledge Tracing
March 25, 2024, 4:42 a.m. | Yahya Badran, Christine Preisach
cs.LG updates on arXiv.org arxiv.org
Abstract: Knowledge Tracing (KT) is concerned with predicting students' future performance on learning items in intelligent tutoring systems. Learning items are tagged with skill labels called knowledge concepts (KCs). Many KT models expand the sequence of item-student interactions into KC-student interactions by replacing learning items with their constituting KCs. This often results in a longer sequence length. This approach addresses the issue of sparse item-student interactions and minimises model parameters. However, two problems have been identified …
abstract arxiv concepts cs.ai cs.cy cs.lg data data leakage expand framework free future intelligent interactions knowledge labels novel performance students systems tracing tutoring type
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