MOOC performance prediction and analysis via Bayesian network and Maslow’s hierarchical needs theory-Reference-Cited by-同舟云学术

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MOOC performance prediction and analysis via Bayesian network and Maslow’s hierarchical needs theory

Published:2023-08-17 Issue: Volume: Page:1-17
ISSN:1049-4820
Container-title:Interactive Learning Environments
language:en
Short-container-title:Interactive Learning Environments

Author:

Zhu Luyu¹²,Hao Jia¹²^ORCID,Gan Jianhou¹²

Affiliation:

1. Key Laboratory of Education Informatization for Nationalities, Ministry of Education, Yunnan Normal University, Kunming, People’s Republic of China

2. Yunnan Key Laboratory of Smart Education, Yunnan Normal University, Kunming, People’s Republic of China

Funder

National Natural Science Foundation of China

Youth Project of Applied Basic Research Program of Yunnan Province

Key Project of Applied Basic Research Program of Yunnan Province

Publisher

Informa UK Limited

Subject

Computer Science Applications,Education

Link

https://www.tandfonline.com/doi/pdf/10.1080/10494820.2023.2246517

Reference23 articles.

1. Online Social Presence “OSP” Patterns Correlation with Students’ Academic Performance among Master of Education Program Students

2. Prediction of student attrition risk using machine learning

3. Dropout prediction in Moocs using deep learning and machine learning

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The crowd in MOOCs: a study of learning patterns at scale;Interactive Learning Environments;2024-08-20

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