A Preliminary Study on the Use of Generative Artificial Intelligence to Enrich Dashboards

Mikel Villamañe, Aitor Renobales-Irusta, Ainhoa Álvarez

2025

Abstract

The use of dashboards to show information to teachers in educational environments is a widespread technique. However, teachers often have problems to understand the charts and therefore to take decisions based on the information shown. This is, often dashboards just show information and do not help teachers to interpret which problems do students have with the course and, consequently, dashboards do not assist teachers to provide adequate interventions. In this context, the aim of this work is to analyse whether the use of Generative artificial intelligence (GenAI) can help teachers understanding dashboards and decide in turn when to provide interventions and what kind of interventions could be the most beneficial for the students.

Paper Citation

in Harvard Style

Villamañe M., Renobales-Irusta A. and Álvarez A. (2025). A Preliminary Study on the Use of Generative Artificial Intelligence to Enrich Dashboards. In Proceedings of the 17th International Conference on Computer Supported Education - Volume 2: CSEDU; ISBN 978-989-758-746-7, SciTePress, pages 265-272. DOI: 10.5220/0013265600003932

in Bibtex Style

@conference{csedu25,
author={Mikel Villamañe and Aitor Renobales-Irusta and Ainhoa Álvarez},
title={A Preliminary Study on the Use of Generative Artificial Intelligence to Enrich Dashboards},
booktitle={Proceedings of the 17th International Conference on Computer Supported Education - Volume 2: CSEDU},
year={2025},
pages={265-272},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013265600003932},
isbn={978-989-758-746-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Conference on Computer Supported Education - Volume 2: CSEDU
TI - A Preliminary Study on the Use of Generative Artificial Intelligence to Enrich Dashboards
SN - 978-989-758-746-7
AU - Villamañe M.
AU - Renobales-Irusta A.
AU - Álvarez A.
PY - 2025
SP - 265
EP - 272
DO - 10.5220/0013265600003932
PB - SciTePress