MemoryKT: An Integrative Memory-and-Forgetting Method for Knowledge Tracing
- URL: http://arxiv.org/abs/2508.08122v1
- Date: Mon, 11 Aug 2025 15:59:59 GMT
- Title: MemoryKT: An Integrative Memory-and-Forgetting Method for Knowledge Tracing
- Authors: Mingrong Lin, Ke Deng, Zhengyang Wu, Zetao Zheng, Jie Li,
- Abstract summary: Simulating students' memory states is a promising approach to enhance both the performance and interpretability of knowledge tracing models.<n>Memory consists of three fundamental processes: encoding, storage, and retrieval.<n>This paper proposes memoryKT, a knowledge tracing model based on a novel temporal variational autoencoder.
- Score: 7.096160553754792
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Knowledge Tracing (KT) is committed to capturing students' knowledge mastery from their historical interactions. Simulating students' memory states is a promising approach to enhance both the performance and interpretability of knowledge tracing models. Memory consists of three fundamental processes: encoding, storage, and retrieval. Although forgetting primarily manifests during the storage stage, most existing studies rely on a single, undifferentiated forgetting mechanism, overlooking other memory processes as well as personalized forgetting patterns. To address this, this paper proposes memoryKT, a knowledge tracing model based on a novel temporal variational autoencoder. The model simulates memory dynamics through a three-stage process: (i) Learning the distribution of students' knowledge memory features, (ii) Reconstructing their exercise feedback, while (iii) Embedding a personalized forgetting module within the temporal workflow to dynamically modulate memory storage strength. This jointly models the complete encoding-storage-retrieval cycle, significantly enhancing the model's perception capability for individual differences. Extensive experiments on four public datasets demonstrate that our proposed approach significantly outperforms state-of-the-art baselines.
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