Development of predictive model for students’ final grades using machine learning techniques
Author:
Publisher
AIP Publishing
Link
http://aip.scitation.org/doi/pdf/10.1063/5.0193320
Reference19 articles.
1. A Predictive Analytics Model for Students Grade Prediction by Supervised Machine Learning
2. Buenaño-Fernández, D., Gil, D., & Luján-Mora, S. Application of machine learning in predicting performance for computer engineering students: A case study. Sustainability (Switzerland), 11(10) (2019).
3. Rastrollo-Guerrero, J. L., Gómez-Pulido, J. A., & Durán-Domínguez, A. Analyzing and predicting students’ performance by means of machine learning: A review. In Applied Sciences (Switzerland) (Vol. 10, Issue 3). MDPI AG (2020).
4. Eman, E., Majeed, E. A., & Junejo, K. N. Grade Prediction Using Supervised Machine Learning Techniques (2016).
5. Kabathova, J., & Drlik, M. Towards predicting student's dropout in university courses using different machine learning techniques. Applied Sciences (Switzerland), 11(7) (2021).
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