Frontiers in Psychology (Jan 2022)
Corrigendum: Educational Data Mining Techniques for Student Performance Prediction: Method Review and Comparison Analysis
- Yupei Zhang,
- Yupei Zhang,
- Yue Yun,
- Yue Yun,
- Rui An,
- Rui An,
- Jiaqi Cui,
- Jiaqi Cui,
- Huan Dai,
- Huan Dai,
- Xuequn Shang,
- Xuequn Shang
Affiliations
- Yupei Zhang
- School of Computer Science, Northwestern Polytechnical University, Xi'an, China
- Yupei Zhang
- Key Laboratory of Big Data Storage and Management, Ministry of Industry and Information Technology, Xi'an, China
- Yue Yun
- School of Computer Science, Northwestern Polytechnical University, Xi'an, China
- Yue Yun
- Key Laboratory of Big Data Storage and Management, Ministry of Industry and Information Technology, Xi'an, China
- Rui An
- School of Computer Science, Northwestern Polytechnical University, Xi'an, China
- Rui An
- Key Laboratory of Big Data Storage and Management, Ministry of Industry and Information Technology, Xi'an, China
- Jiaqi Cui
- School of Computer Science, Northwestern Polytechnical University, Xi'an, China
- Jiaqi Cui
- Key Laboratory of Big Data Storage and Management, Ministry of Industry and Information Technology, Xi'an, China
- Huan Dai
- School of Computer Science, Northwestern Polytechnical University, Xi'an, China
- Huan Dai
- Key Laboratory of Big Data Storage and Management, Ministry of Industry and Information Technology, Xi'an, China
- Xuequn Shang
- School of Computer Science, Northwestern Polytechnical University, Xi'an, China
- Xuequn Shang
- Key Laboratory of Big Data Storage and Management, Ministry of Industry and Information Technology, Xi'an, China
- DOI
- https://doi.org/10.3389/fpsyg.2021.842357
- Journal volume & issue
-
Vol. 12
Abstract
No abstracts available.Keywords
- personalized education
- review and discussion
- educational data mining (EDM)
- student performance prediction
- pattern recognition
