To read this content please select one of the options below:

Educational data mining for improving learning outcomes in teaching accounting within higher education

Julian Chamizo-Gonzalez (Universidad Autónoma de Madrid, Madrid, Spain)
Elisa Isabel Cano-Montero (Universidad de Castilla La Mancha, Toledo, Spain)
Elena Urquia-Grande (Universidad Complutense de Madrid, Madrid, Spain)
Clara Isabel Muñoz-Colomina (Universidad Complutense de Madrid, Madrid, Spain)

International Journal of Information and Learning Technology

ISSN: 2056-4880

Article publication date: 2 November 2015

1235

Abstract

Purpose

The purpose of this paper are twofold. First, to disclose whether accounting students who participate more in online activities proposed by the teacher achieve better learning outcomes. Second, to identify which virtual learning activities achieve improved outcomes.

Design/methodology/approach

Data mining is a computer-based tool devoted to analyzing massive data sources, generating information and discovering deeper knowledge and links among variables.

Findings

There were differences between universities and subjects in the association of level of activity and learning outcomes. These findings will help teachers adjust their teaching guide, schedule and explanations.

Research limitations/implications

Further developments should include the level of online compromise of the lecturers, and the correspondence of the online activity with the designed activities in the teaching guide. In order to identify the value-added activities performed by the students to achieve better deep learning outcomes.

Practical implications

Higher Education should provide students with cognitive and transversal skills for successful incorporation into the labor market. In this sense, teaching methodology combined with online tools facilitates the process of teaching and learning with the implementation of different multimedia resources.

Originality/value

Recently, the impact of virtual platform usage on students’ learning outcomes has started to be analyzed using “data mining” techniques. Educational data mining is a new focus to disclose existing links among students, lecturers and its activity.

Keywords

Citation

Chamizo-Gonzalez, J., Cano-Montero, E.I., Urquia-Grande, E. and Muñoz-Colomina, C.I. (2015), "Educational data mining for improving learning outcomes in teaching accounting within higher education", International Journal of Information and Learning Technology, Vol. 32 No. 5, pp. 272-285. https://doi.org/10.1108/IJILT-08-2015-0020

Publisher

:

Emerald Group Publishing Limited

Copyright © 2015, Emerald Group Publishing Limited

Related articles