Data Analytics of Student Learning Outcomes Using Abet Course Files

The ABET accreditation requires Student Outcomes’ (SO) direct assessment in various courses. Outcome-based learning is what students learn as because of these assessments. Nevertheless, most universities find it difficult to approve ABET Course File. The scores of students will not truly reflect their outcome- based learning if the design of ABET Course File improperly done in a manner that addresses the relevant SOs. Contrariwise, ABET course files has to do with the direct relationship with the course contents. In cases whereby, outcome-based learning is not evident. As such, the aim of this project includes the analysis of students’ performance and accomplishments regarding ABET course files Learning, using data mining approaches. Also, this project intends to test various methods of Data mining including Naive Bayes, Decision tree, and so on and recommend an appropriate method to predict the performance of the student. The accuracy of the prediction of student performance is high in decision tree compared to other algorithms such as Naive Bayes.