RETRACTED: Integrating learning factors and Bayesian network for interpretable knowledge tracing

Author:

Diao Xiu-Li1,Zhang Quan-Lei1,Zeng Qing-Tian1,Duan Hua2,Song Zheng-guo1,Zhao Hua1

Affiliation:

1. College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, China

2. College of Mathematics and Systems, Shandong University of Science and Technology, Qingdao, China

Abstract

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.

Publisher

IOS Press

Reference15 articles.

1. Trends and issues in mooc learning analytics empirical research: A systematic literature review (2011–2021);Zhu;Education and Information Technologies,2022

2. Knowledge tracing: A survey;Abdelrahman;ACM Computing Surveys,2023

3. A survey on deep learning based knowledge tracing;Song;Knowledge-Based Systems,2022

4. Piech C. , Bassen J. , Huang J. , Ganguli S. , Sahami M. , Guibas L.J. and Sohl-Dickstein J. , Deep knowledge tracing, Advances in Neural Information Processing Systems 28 (2015).

5. Ekt: Exercise-aware knowledge tracing for student performance prediction;Liu;IEEE Transactions on Knowledge and Data Engineering,2019

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