Analyzing undergraduate students' performance using educational data mining

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Educational data mining: prediction of students' academic performance using machine learning algorithms (2022, methodology): “Asif et al. (2017) focused on two aspects of the performance of undergraduate students using DM methods.”
Data mining combined to the multicriteria decision analysis for the improvement of road safety: case of France (2019, background): “2), is an attractive set of methods and techniques that has known a big popularity in recent years in various fields such as the fields of finance [2], education [3] and healthcare [4].”
Integration of artificial intelligence performance prediction and learning analytics to improve student learning in online engineering course (2023, methodology): “) are typically considered in the prediction models (Asif et al., 2017), rather than using the data that reflect the specific learning process (Suthers & Verbert, 2013).”