A Process Mining Approach In Discovering Processes And Social Networks In My.Eskwela

Abstract

Pieces of literature discussing the process model in the learning management system are limited to student and teacher learning interactions. Including the learning interactions of principals and parents contributes to more detail of processes taking place during learning interactions on the platform. The study used process mining techniques and algorithms to extract the underlying processes that drive learning interactions in social learning management systems. The discovered processes for principals, teachers, students, and parents consequently show a precision value of 1, 0.542, 0.639, and 1, respectively. The preciseness of processes for each user group indicates an acceptable behavior (> 0.50) extracted from the event logs. On the other hand, social networks form from the processes that show the information flow of learning interactions from the principal to the students and parents, depicting everyone's effort for learning gain in favor of the student. This study's contribution expands beyond teacher-student interaction processes to include principals and parents, thereby generating a more concrete view of learning interaction in the social learning management system.