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.
External IDs:dblp:journals/ijon/BaiLLHGHL25
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