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Augmenting Knowledge Tracing by Considering Forgetting Behavior (Contributions)
The contributions of the paper are summarized as follows. - We propose a knowledge tracing model that extends the DKT model to consider both a learning sequence and the forgetting behavior by explicitly modeling the forgetting behavior using multiple features. - We have conducted experiments showing that our proposed model outperforms conventional methods in terms of the predictive performance on the knowledge tracing datasets. - We have also examined how the combination of multiple types of forgetting information influences the performance.
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Updated 2026-08-30
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Data Science