Heterogeneous graph-based knowledge tracing with spatiotemporal evolution

Huali Yang; Shengze Hu; Jing Geng; Tao Huang; Junjie Hu; Hao Zhang; Qiang Zhu

doi:10.1016/j.eswa.2023.122249

ScienceGate Book Chapters

JOURNAL ARTICLE

Heterogeneous graph-based knowledge tracing with spatiotemporal evolution

Huali Yang Shengze Hu Jing Geng Tao Huang Junjie Hu Hao Zhang Qiang Zhu

Year: 2023 Journal: Expert Systems with Applications Vol: 238 Pages: 122249-122249 Publisher: Elsevier BV

DOI: 10.1016/j.eswa.2023.122249

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Knowledge graph Forgetting Graph Tracing Domain knowledge Knowledge extraction Artificial intelligence Machine learning Theoretical computer science Cognitive psychology

Metrics

Cited By

8.69

FWCI (Field Weighted Citation Impact)

Refs

0.97

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Intelligent Tutoring Systems and Adaptive Learning

Physical Sciences → Computer Science → Artificial Intelligence

Online Learning and Analytics

Physical Sciences → Computer Science → Computer Science Applications

Innovative Teaching and Learning Methods

Social Sciences → Psychology → Developmental and Educational Psychology

Heterogeneous graph-based knowledge tracing with spatiotemporal evolution

Metrics

Citation History

Topics

Related Documents

Heterogeneous Graph Based Knowledge Tracing

Programming knowledge tracing based on heterogeneous graph representation

Heterogeneous Graph Representation for Knowledge Tracing

Knowledge Tracing Based on Gated Heterogeneous Graph Convolutional Networks

MAHKT: Knowledge tracing with multi-association heterogeneous graph embedding based on knowledge transfer