Evaluation of the online assessment test using process mining (Case Study: Intensive English Center)

This is the authors' abstract. We don't add key points for this paper.

One process in e-learning is Online Assessment Test which is aimed to determine students' understanding of the materials. Online Assessment Test is usually using Multiple Choice Questions (MCQ). Students are not always answer MCQ sequentially, so that each student can have navigational pattern, which can be different from the predefined navigational model. Different navigational patterns can result in different test performance too. This paper presents the process and result of implementing process mining to compare students answering patterns to the predetermined navigational model of MCQ in online assessment test. Process mining is being used to model the business process flow based on the event log of the information system. In this case, online assessment test is the business process and e-learning system is the information system being analyzed. The output of the process are the test marks, performance, students' strength and weakness, and the analysis of navigational patterns compared to the predefined navigational model.