- Ahmed B. Altamimi, “Big Data in Education: Students at Risk as a Case Study”, Eng. Technol. Appl. Sci. Res., 13, no. 5, 2023, 11705
- Muhammad Arham Tariq, Allah Bux Sargano, Muhammad Aksam Iftikhar, Zulfiqar Habib, “Comparing Different Oversampling Methods in Predicting Multi-Class Educational Datasets Using Machine Learning Techniques”, Cybernetics and Information Technologies, 23, no. 4, 2023, 199
- T. A. Kustitskaya, M. V. Noskov, Y. V. Vainshtein, “Predicting learning success: research problems
and challenges”, Science and School, no. 4, 2023, 71
- Zahra Azizah, Tomoya Ohyama, Xiumin Zhao, Yuichi Ohkawa, Takashi Mitsuishi, “Predicting at-risk students in the early stage of a blended learning course via machine learning using limited data”, Computers and Education: Artificial Intelligence, 7, 2024, 100261