Recommendation System for Student Academic Progress

Horea Greblă, Cătălin Rusu, Cătălin Rusu, Adrian Sterca, Darius Bufnea, Virginia Niculescu

2022

Abstract

The purpose of this work is to study the possible approaches to build a recommendation system that could help students in organizing their work and improving their results. More specifically, we intend to predict grades of a student for future exams, based on his/her previous results and the past grades received by all students from the same series/group. We have tried several machine learning methods for predicting future student grades, and finally we obtained good results, namely a mean absolute prediction error smaller than 1. The best variant proved to be the one based on neural networks that leads to a mean absolute prediction error smaller than 0.5. These results show the practical applicability of our proposed methodology, and consequently, we built, based on these, a practical recommendation system available to students as a web application.

Paper Citation

in Harvard Style

Greblă H., Rusu C., Sterca A., Bufnea D. and Niculescu V. (2022). Recommendation System for Student Academic Progress. In Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART, ISBN 978-989-758-547-0, pages 285-292. DOI: 10.5220/0010816300003116

in Bibtex Style

@conference{icaart22,
author={Horea Greblă and Cătălin Rusu and Adrian Sterca and Darius Bufnea and Virginia Niculescu},
title={Recommendation System for Student Academic Progress},
booktitle={Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART,},
year={2022},
pages={285-292},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010816300003116},
isbn={978-989-758-547-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART,
TI - Recommendation System for Student Academic Progress
SN - 978-989-758-547-0
AU - Greblă H.
AU - Rusu C.
AU - Sterca A.
AU - Bufnea D.
AU - Niculescu V.
PY - 2022
SP - 285
EP - 292
DO - 10.5220/0010816300003116