Abstract
Learning analytics is measurement and analysis of learning data collected from learning environments, learning analytics focus on learners to predict their academic performance in the classroom. This paper is conducted to predict students' academic performance of fourth-year bachelor students in the Information Security course, and a classification algorithm is used to predict final student grades. The data set used in this study consists of student's cumulative GPA, grade scores in pre-requisite course, and scores on two mid-term exams; these data were collected from 5-year period intakes from 2014 until 2018. The extracted knowledge out of this research will be used to identify and predict the student performance to determine the students' level of success in the information security course which can assist at-risk students in making appropriate intervention decisions.