The Why, the How and the When of Educational Process Mining in R

Abstract

This chapter presents the topic of process mining applied to learning analytics data. The chapter begins by introducing the fundamental concepts of the method, with a focus on event log construction and visual representation using directly-follows graphs. A review of the existing literature on educational process mining is also presented to introduce the reader to the state of the art of the field. The chapter follows with a guided tutorial in R on how to apply process mining to trace log data extracted from an online learning management system. The tutorial uses the bupaverse framework for data handling and visualization. We finish the chapter with a reflection on the method and its reliability and applicability. © The Editor(s) (if applicable) and The Author(s) 2024. This book is an open access publication.