Process Mining is an emerging discipline that utilizes techniques of data science to detect, verify and enhance processes. There has been a growing attention in the research area of educational process mining field due to the availability of students' log in our modern era and the advantage of its use to both learners and academic institutions. Educational Process Mining (EPM) is positioned between discovery, analysis, and visualization of students' learning patterns from educational records. Despite the availability of students' logs, there are few literature surveys that covered different areas of research in the educational process mining and the various techniques and algorithms of process mining that can be used within each respective topic. In this study we present a literature survey that covers the main areas of the research, methods, and techniques in EPM that helps in discovering the students' different aspects of behavior in the learning process and in predicting students' academic performance in an educational context, with the aim of enhancing final academic achievement