Approaches for Analyzing Students Scoring Patterns Using Process Mining

Abstract

Process mining is an innovative technique for analyzing business processes. It uses software agents to monitor and analyze the underlying process of the process for a given time, collecting metrics on business process performance, key metrics, transaction-level information, and event-level information. Process mining enables an organization to automate tedious and time-consuming tasks, identify systematic issues, and identify opportunities for improvement in its processes. This paper is about how a student’s scoring patterns can be identified by using process mining. The researchers have done in-depth analyses of different algorithms that are used to calculate test scores for students. They found out that most students score high on tests when they use easy algorithms, while they score low when they need complex algorithms to complete the task. This means that students perform better at tasks that require simple calculations than those that require complex calculations because these complex calculations are not as easy as they seem.