A deep learning framework for students' academic performance analysis
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences,General Engineering,General Environmental Science
Link
https://link.springer.com/content/pdf/10.1007/s40012-023-00388-9.pdf
Reference31 articles.
1. Asif R, Merceron A, Ali SA, Haider NG (2017) Analyzing undergraduate students’ performance using educational data mining. Comput Educ 113:177–194
2. Francis KB, Babu SS (2019) Predicting students’ academic performance using a hybrid data mining approach. J Med Syst 43(6):1–15
3. Helal S, Li J, Liu L, Ebrahimie E, Dawson S, Murray DJ, Long Q (2018) Predicting academic performance by considering student heterogeneity. Knowl-Based Syst 161:134–146
4. Khan A, Ghosh SK (2020) Student performance analysis and prediction in classroom learning: a review of educational data mining studies. Educ Inform Technol 26(1):205–2401
5. Adekitan AI, Noma-Osaghae E (2019) Data mining approach to predicting the performance of first-year student in a university using the admission requirements. Educ Inform Technol 24(2):1527–1543
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
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