With the prevalence of E-Learning, it is important to analyze how students progress in this environment. These systems collect data about the students’ learning path, and Process Mining (PM) can provide a detailed model of this path. Based on the analysis of ten Educational Process Mining (EPM) case studies involving Moodle event logs, this article aims to contribute a literature review on EPM’s research. Beyond a theoretical introduction to PM and its implications for educational data, the review concludes on what PM tools and techniques are used, as well as the challenges faced in practice. The technical options include software, process discovery algorithms and representation models. These results aim to create a list of available options for future EPM endeavors, in addition to a list of issues to consider in future research involving Moodle.