Recommendation of Educational Content to Improve Student Performance: An Approach based on Learning Styles

Alana Oliveira, Mario Teixeira, Carlos Neto

2020

Abstract

Virtual learning environments are a powerful tool in the teaching-learning process and can provide a variety of utilization data that can be explored by data mining techniques to improve the understanding of student behavior and performance. By using Learning Analytics, it is possible to identify potential problems, such as student dropout or failures before they become irreversible, and indicate corrective actions to be taken by teachers. In this context, content recommendation plays a prominent role since choosing the proper content for a certain audience may motivate them to become more involved in the learning process. However, in distance education settings nowadays, teachers do not know their students, thus it becomes difficult to select the content most suitable to their needs. In this paper, we propose a content recommendation architecture that takes into account the learning profile of students enrolled in an LMS to customize content recommendations to each learner’s style. A profile assessment tool, based on the Honey-Mumford learning style taxonomy was implemented and some preliminary data obtained. We devised a recommendation scheme that considers the euclidean distance between students’ learning styles when suggesting content to be studied. Our preliminary results indicate this approach may be beneficial to improve the teaching-learning process and student performance as a whole.

Paper Citation

in Harvard Style

Oliveira A., Teixeira M. and Neto C. (2020). Recommendation of Educational Content to Improve Student Performance: An Approach based on Learning Styles.In Proceedings of the 12th International Conference on Computer Supported Education - Volume 2: CSEDU, ISBN 978-989-758-417-6, pages 359-365. DOI: 10.5220/0009436303590365

in Bibtex Style

@conference{csedu20,
author={Alana Oliveira and Mario Teixeira and Carlos Neto},
title={Recommendation of Educational Content to Improve Student Performance: An Approach based on Learning Styles},
booktitle={Proceedings of the 12th International Conference on Computer Supported Education - Volume 2: CSEDU,},
year={2020},
pages={359-365},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009436303590365},
isbn={978-989-758-417-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Conference on Computer Supported Education - Volume 2: CSEDU,
TI - Recommendation of Educational Content to Improve Student Performance: An Approach based on Learning Styles
SN - 978-989-758-417-6
AU - Oliveira A.
AU - Teixeira M.
AU - Neto C.
PY - 2020
SP - 359
EP - 365
DO - 10.5220/0009436303590365