Discovering Multi-Relational Integration for Knowledge Tracing with Retentive Networks-Reference-Cited by-同舟云学术

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Discovering Multi-Relational Integration for Knowledge Tracing with Retentive Networks

Published:2024-05-30 Issue: Volume:5 Page:960-968
ISSN:
Container-title:Proceedings of the 2024 International Conference on Multimedia Retrieval
language:
Short-container-title:

Author:

Linhao Zhou¹^ORCID,Shenghua Zhong²^ORCID,Zhijiao Xiao²^ORCID

Affiliation:

1. College of Computer Science and Software Engineering, Shenzhen University & National Engineering Laboratory for Big Data System Computing Technology, Shenzhen University, Shenzhen, China

2. College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China

Funder

Natural Science Foundation of Guangdong Province

Open Fund of National Engineering Laboratory for Big Data System Computing Technology

Open Research Fund from Guangdong Laboratory of Artificial Intelligence and Digital Economy(SZ)

table Support Project of Shenzhen under Grant

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3652583.3658030

Reference40 articles.

1. Knowledge Tracing with Sequential Key-Value Memory Networks

2. Knowledge Tracing: A Survey

3. Engaging with massive online courses

4. Learning Factors Analysis – A General Method for Cognitive Model Evaluation and Improvement

5. Comparing Two IRT Models for Conjunctive Skills

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