Evaluating the effectiveness of educational data mining techniques for early prediction of students' academic failure in introductory programming courses

By E. Costa, B. Neto, Marcelo A. Santana, Fabrísia Ferreira de Araújo, Joilson B. A. Rego. Computers in Human Behavior, 2017

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Introductory programming: a systematic literature review (2018, background): “Many of these techniques are based on automatically monitoring student activity as the students develop code [6, 37, 135, 196, 556, 649, 693].”
Predicting academic performance of students from VLE big data using deep learning models (2020, background): “Several studies deploy machine learning techniques to analyse student behavior and predict students at-risk of a failure (Costa et al., 2017; Hassan et al., 2019; Wasif et al., 2019).”