2020年6月13日 · To solve the above problems, we propose a hierarchical graph knowledge tracing model called HGKT to explore the latent hierarchical relations between exercises. …

The implementation of the paper Introducing Problem Schema with Hierarchical Exercise Graph for Knowledge Tracing. The architecture of the HGKT is as follows: To run this code you need …

为了解决上述问题，我们提出了一个叫做HGKT的分层图知识追踪模型，以探索练习之间的潜在分层关系。 具体来说，我们引入了问题模式的概念来构建一个层次化的练习图，该图可以模拟 …

In this paper, a novel hypergraph-based knowledge tracing model (HGKT) is proposed to address these limitations. Firstly, we exploit edge feature that indicates the frequency of exercise …

To solve the above problems, we propose a hierarchical graph knowledge trac-ing model called HGKT to explore the latent hierarchical relations between exercises. Specifically, we introduce …

基于图的知识跟踪 (GKT)将知识跟踪与图神经网络 [25]相结合。 它将学习者隐藏的知识状态编码为图节点的嵌入，并更新知识图中的状态。 这些模型已被证明是有效的，但仍有局限性。 现有 …

2022年7月7日 · This video shows how we propose a hierarchical graph knowledge tracing model called HGKT to explore the latent complex relations between exercises. Specifically, we …

2020年6月13日 · To solve the above problems, we propose a hierarchical graph knowledge tracing model called HGKT to explore the latent hierarchical relations between exercises. …

knowledge tracing framework named HGKT, which uni•es the strengths of hierarchical graph neural network and recurrent se-quence model with a−ention to enhance the performance of …

A novel hypergraph-based knowledge tracing model (HGKT) is proposed that outperforms previous classical methods in terms of AUC on the three widely used datasets and the …