Digital technologies are essential in the distance education environment. Several learners who enroll in distance education programs have difficulty using the technologies during the learning sessions. This study focuses on factors influencing digital literacy in distance education programs. A predictive model was developed based on four phases of the study; preliminary study, dataset preparation, experimental design, and analysis. For this study, 232 survey data were successfully collected. The experimental design has two phases, including data pre-processing and feature selection. - The target class is defined based on the device used and the generation. Five machine learning algorithms have been selected for the classifier model in the data analysis phase. They are logistic regression as a baseline model, k‐nearest neighbour, random forest, support vector machine (SVM), and multilayer perceptron. In addition, five cross-validation settings were chosen, which are 2, 3, 5, 10, and 2.....

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