Predict Rich Learner School Dropout and Improve Success Rates Using a Datamining Study and Machine Learning Algorithms
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-65018-5_49
Reference12 articles.
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2. Gray, C.C., Perkins, D.: Utilizing early engagement and machine learning to predict student outcomes. Comput. Educ. 131, 22–32 (2019). https://doi.org/10.1016/j.compedu.2018.12.006
3. Haataja, E.S.H., Niemivirta, M., Holm, M.E., Ilomanni, P., Laine, A.: Students’ socioeconomic status and teacher beliefs about learning as predictors of students’ mathematical competence. Eur. J. Psychol. Educ. (2024). https://doi.org/10.1007/s10212-023-00791-5
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