<> "The repository administrator has not yet configured an RDF license."^^ . <> . . . "Machine Learning Strategy for Enhancing Academic Achievement in Private University"^^ . "Learning analytics has developed into a powerful tool for discovering unforeseen patterns in educational data and forecasting students' academic success. In order to anticipate the final exam grades of students studying software engineering, this study suggests a learning analytics framework based on machine learning algorithms, using component grades as the source data. The dataset included the academic performance grades of 1475 students who enrolled in a private university for a year to take a Java Web Programming course. To estimate the students' final test grades, the Naive Bayes and Decision Tree algorithms' performances�which are among the machine learning algorithms were calculated and compared. A multitude of features, including the assignment, practical exam, two progress test, two workshop, and final exam, were used to make the predictions. Such data-driven research is crucial for developing a framework for learning analytics in higher education and for influencing decision-making. © 2022 IEEE."^^ . "2022" . . . "Institute of Electrical and Electronics Engineers Inc."^^ . . "Institute of Electrical and Electronics Engineers Inc."^^ . . . "2022 International Conference on Digital Transformation and Intelligence, ICDI 2022 - Proceedings"^^ . . . . . . . . . . . . . . . . . "A."^^ . "Sarlan"^^ . "A. Sarlan"^^ . . "N.I."^^ . "Arshad"^^ . "N.I. Arshad"^^ . . "V.V.T."^^ . "Thanh"^^ . "V.V.T. Thanh"^^ . . "H.N."^^ . "Thi Cam"^^ . "H.N. Thi Cam"^^ . . . . . "HTML Summary of #17301 \n\nMachine Learning Strategy for Enhancing Academic Achievement in Private University\n\n" . "text/html" . .