E-learning process analysis to determining student learning patterns using process mining approach

Abstract

In Learning Management System (LMS) setting, event log is a historical record which contains a series of user activities that recorded on the system. Process mining is applied to discover e-Learning usage patterns. In this research, heuristic review algorithm is used to create a process model to do analysis. The process mining tools that used are Disco and ProM, their work will be finding the process model and evaluating it. The object of research are two different courses, System Defined Network (SDN) and Basic Telecommunication System (BTS) in different levels (Diploma and Bachelor). In order to know the pattern of using e-Learning at different level, Heuristic Miner can model the event log into the process model well. The measurement of fitness value for SDN and BTS are 0.974 and 0.986. Moreover, SDN course tends to access assignment module as many as 938 times. While BTS course tends to access Forum module with the highest frequency is 639 times.