Learning multi-granularity temporal characteristics for attention based knowledge tracing

Published: 01 Jan 2025, Last Modified: 05 Oct 2025Neurocomputing 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•MTKT captures multi-granular temporal features from student interactions.•A linear decay bias handles variable sequence lengths and irregular time intervals.•Causal interaction convolution models both short- and long-term learning patterns.•MTKT outperforms 14 baseline models in predictive performance.
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