Home // International Journal On Advances in Intelligent Systems, volume 8, numbers 1 and 2, 2015 // View article

Process Mining in the Education Domain

Authors:
Awatef Hicheur Cairns
Billel Gueni
Mehdi Fhima
Andrew Cairns
Stéphane David
Nasser Khelifa

Keywords: process mining, educational data mining, curriculum mining, key performance indicator, ProM

Abstract:
Given the ever changing needs of the job markets, education and training centers are increasingly held accountable for student success. Therefore, education and training centers have to focus on ways to streamline their offers and educational processes in order to achieve the highest level of quality in curriculum contents and managerial decisions. Educational process mining is an emerging field in the educational data mining (EDM) discipline, concerned with developing methods to better understand students’ learning habits and the factors influencing their performance. It aims, particularly, at discovering, analyzing, and providing a visual representation of complete educational processes. In this paper, in continuity of the work presented in [1], we investigate further the potential, challenges and feasibility of the educational process mining in the field of professional trainings. First, we focus on the mining and the analysis of social networks, from educational event logs, between courses units, resources or training providers. Second, we propose a clustering approach to decompose educational processes following key performance indicators. We have experimented this approach using the ProM Framework.

Pages: 219 to 232

Copyright: Copyright (c) to authors, 2015. Used with permission.

Publication date: June 30, 2015

Published in: journal

ISSN: 1942-2679