Identification of Factors and Teacher Profile Associated with Student Performance Using Fuzzy Techniques and Data Mining
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-58956-0_17
Reference18 articles.
1. Alboaneen, D., Almelihi, M., Alsubaie, R., Alghamdi, R., Alshehri, L., Alharthi, R.: Development of a web-based prediction system for students’ academic performance. Data 7(2) (2022). https://doi.org/10.3390/data7020021
2. Alkayed, M., Almasalha, F., Hijjawi, M., Qutqut, M.H.: Factors analysis affecting academic achievement of undergraduate student: a study on faculty of information technology students at applied science private university (2023). https://doi.org/10.1109/ICBATS57792.2023.10111100
3. Alyahyan, E., Düştegör, D.: Predicting academic success in higher education: literature review and best practices. Int. J. Educ. Technol. High. Educ. 17(1), 3 (2020). https://doi.org/10.1186/s41239-020-0177-7
4. Bilal, M., Omar, M., Anwar, W., Bokhari, R.H., Choi, G.S.: The role of demographic and academic features in a student performance prediction. Sci. Rep. 12(1) (2022)
5. Brooks, R.: Friends, peers and higher education. Br. J. Sociol. Educ. 28(6), 693–707 (2007)
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