Open AccessReviewing Process Mining Applications and Techniques in Education
Author(s) -
Athanasios Sypsas,
Dimitris Kalles
Publication year - 2022
Publication title -
international journal of artificial intelligence and applications
Language(s) - English
Resource type - Journals
eISSN - 0976-2191
pISSN - 0975-900X
DOI - 10.5121/ijaia.2022.13106
Subject(s) - conformance checking , process (computing) , process mining , business process discovery , computer science , data science , process modeling , domain (mathematical analysis) , process management , business process management , business process , data mining , business process modeling , work in process , engineering , operations management , mathematical analysis , mathematics , operating system
Process Mining (PM) emerged from business process management but has recently been applied to educational data and has been found to facilitate the understanding of the educational process. Educational Process Mining (EPM) bridges the gap between process analysis and data analysis, based on the techniques of model discovery, conformance checking and extension of existing process models. We present a systematic review of the recent and current status of research in the EPM domain, focusing on application domains, techniques, tools and models, to highlight the use of EPM in comprehending and improving educational processes.