A Novel Grades Prediction Method for Undergraduate Students by Learning Explicit Conditional Distribution-Reference-Cited by-同舟云学术

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A Novel Grades Prediction Method for Undergraduate Students by Learning Explicit Conditional Distribution

Published:2024-09 Issue:9 Volume:5 Page:4837-4848
ISSN:2691-4581
Container-title:IEEE Transactions on Artificial Intelligence
language:
Short-container-title:IEEE Trans. Artif. Intell.

Author:

Zhang Na¹^ORCID,Liu Ming²^ORCID,Wang Lin²^ORCID,Liu Shuangrong²^ORCID,Sun Runyuan²^ORCID,Yang Bo²^ORCID,Zhu Shenghui²^ORCID,Li Chengdong³^ORCID,Yang Cheng²^ORCID,Cheng Yuhu¹^ORCID

Affiliation:

1. School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China

2. Shandong Provincial Key Laboratory of Network Based Intelligent Computing, University of Jinan, Jinan, China

3. School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/9078688/10673734/10562058.pdf?arnumber=10562058

Reference47 articles.

1. Early dropout prediction in distance higher education using active learning

2. Representation Learning from Limited Educational Data with Crowdsourced Labels

3. Feature Extraction for Next-Term Prediction of Poor Student Performance

4. An intelligent tutoring system for supporting active learning: A case study on predictive parsing learning

5. Application of ordinal logistic regression in the study of students’ performance;Adejumo;Math. Theory Model.,2013

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