A Moodle Component for Data Visualization with Applied Learning Analytics for Students

M. Barbachano-Chiu, V. Menéndez-Domínguez, L. Curi-Quintal

2022

Abstract

One of the main characteristics of e-learning platforms, such as Moodle, is the registration, monitoring, and storage of the interaction of its users with the published resources, access, and times of entry and exit to them. This information certainly occupies a lot of space and, since its analysis requires prior knowledge by teachers, this information is often forgotten and even eliminated. For this, through Learning Analytics, whose main objective is to apply an intelligent use to data produced by students to predict, evaluate and optimize their learning, we have proposed the development of a Moodle component that allows, with the help of data visualization, to present different results obtained through different learning analytics techniques to evaluate the academic performance of a student or a group enrolled in a course through parameterization, visual and quantitative support by the tool.

Paper Citation

in Harvard Style

Barbachano-Chiu M., Menéndez-Domínguez V. and Curi-Quintal L. (2022). A Moodle Component for Data Visualization with Applied Learning Analytics for Students. In Proceedings of the 14th International Conference on Computer Supported Education - Volume 1: A2E, ISBN 978-989-758-562-3, pages 533-542. DOI: 10.5220/0011125500003182

in Bibtex Style

@conference{a2e22,
author={M. Barbachano-Chiu and V. Menéndez-Domínguez and L. Curi-Quintal},
title={A Moodle Component for Data Visualization with Applied Learning Analytics for Students},
booktitle={Proceedings of the 14th International Conference on Computer Supported Education - Volume 1: A2E,},
year={2022},
pages={533-542},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011125500003182},
isbn={978-989-758-562-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Conference on Computer Supported Education - Volume 1: A2E,
TI - A Moodle Component for Data Visualization with Applied Learning Analytics for Students
SN - 978-989-758-562-3
AU - Barbachano-Chiu M.
AU - Menéndez-Domínguez V.
AU - Curi-Quintal L.
PY - 2022
SP - 533
EP - 542
DO - 10.5220/0011125500003182