Research on Education Big Data for Student's Academic Performance Analysis based on Machine Learning-Reference-Cited by-同舟云学术

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Research on Education Big Data for Student's Academic Performance Analysis based on Machine Learning

Published:2024-07-26 Issue: Volume:41 Page:223-227
ISSN:
Container-title:Proceedings of the 2024 Guangdong-Hong Kong-Macao Greater Bay Area International Conference on Education Digitalization and Computer Science
language:
Short-container-title:

Author:

Wang Chun¹^ORCID,Chen Jiexiao²^ORCID,Xie Ziyang³^ORCID,Zou Jianke⁴^ORCID

Affiliation:

1. LaFetra College of Education, University of La Verne, USA

2. Steinhardt School of Culture, Education, and Human Development, New York University, USA

3. Departmen of Art and Design, Hunan University of Humanities, Science and Technology, China

4. HSBC Business School, Department of Management, Peking University, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3686424.3686462

Reference12 articles.

1. Educational data mining: prediction of students' academic performance using machine learning algorithms

2. Khan Anupam and Soumya K. Ghosh. "Student performance analysis and prediction in classroom learning: A review of educational data mining studies." Education and information technologies 26.1 (2021): 205-240.

3. Big data analytics capability for improved performance of higher education institutions in the Era of IR 4.0: A multi-analytical SEM & ANN perspective.

4. Classification and prediction of student performance data using various machine learning algorithms

5. Utilization of ensemble techniques for prediction of the academic performance of students;Ajibade Samuel-Soma M;Journal of Optoelectronics Laser,2022

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