Evolutionary algorithms for subgroup discovery in e-learning: A practical application using Moodle data

Romero, Cristóbal and González, Pedro and Ventura, Sebastián and Del Jesús, María José and Herrera, Francisco (2009) Evolutionary algorithms for subgroup discovery in e-learning: A practical application using Moodle data. Expert Systems with Applications, 36 (2). pp. 1632-1644. ISSN 0957-4174

Full text not available from this repository.
Official URL: http://www.sciencedirect.com/science/article/pii/S...

Abstract

This work describes the application of subgroup discovery using evolutionary algorithms to the usage data of the Moodle course management system, a case study of the University of Cordoba, Spain. The objective is to obtain rules which describe relationships between the student’s usage of the different activities and modules provided by this e-learning system and the final marks obtained in the courses. We use an evolutionary algorithm for the induction of fuzzy rules in canonical form and disjunctive normal form. The results obtained by different algorithms for subgroup discovery are compared, showing the suitability of the evolutionary subgroup discovery to this problem.

Item Type: Article
Uncontrolled Keywords: Web-based education Subgroup discovery Evolutionary algorithms Fuzzy rules
Subjects: Educational technology > Early warning systems
Educational technology > Learning analytics
Education (General) > Higher education
Divisions: Higher education, Universities, Vocational training, Colleges
Depositing User: Elizabeth Dalton
Date Deposited: 05 Jul 2017 21:41
Last Modified: 05 Jul 2017 21:41
URI: http://research.moodle.net/id/eprint/213

Actions (login required)

View Item View Item