CYAICLLGOct 23, 2020

Exercise Hierarchical Feature Enhanced Knowledge Tracing

arXiv:2011.09867v124 citations
Originality Synthesis-oriented
AI Analysis

This work addresses knowledge tracing for computer-aided educational systems, but it appears incremental as it builds on existing methods by adding hierarchical features.

The paper tackled knowledge tracing by proposing a hierarchical exercise feature enhanced framework that incorporates knowledge distribution, semantic features, and difficulty features from exercise text, resulting in high performance as shown in extensive experiments.

Knowledge tracing is a fundamental task in the computer-aid educational system. In this paper, we propose a hierarchical exercise feature enhanced knowledge tracing framework, which could enhance the ability of knowledge tracing by incorporating knowledge distribution, semantic features, and difficulty features from exercise text. Extensive experiments show the high performance of our framework.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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