Advancing Educational Analytics Using Machine Learning in Romanian Middle School Data

Ioan Daniel Pop, Adriana Coroiu

2024

Abstract

This paper aims to present the results achieved after a series of experiments regarding the prediction of the academic performance of Romanian middle school students. A unique data set that was first collected by the authors from 24 pre-university educational units in Romania was used for this study. The dataset contains both rural and urban students, respectively both students with high academic performance and students with low performance. In the experiments, two machine learning methods were used: extreme gradient boosting and support vector machine, along with feature engineering techniques. The obtained results are satisfactory, resulting in an accuracy of 94.18%.

Paper Citation

in Harvard Style

Daniel Pop I. and Coroiu A. (2024). Advancing Educational Analytics Using Machine Learning in Romanian Middle School Data. In Proceedings of the 16th International Conference on Computer Supported Education - Volume 2: CSEDU; ISBN 978-989-758-697-2, SciTePress, pages 230-237. DOI: 10.5220/0012628800003693

in Bibtex Style

@conference{csedu24,
author={Ioan Daniel Pop and Adriana Coroiu},
title={Advancing Educational Analytics Using Machine Learning in Romanian Middle School Data},
booktitle={Proceedings of the 16th International Conference on Computer Supported Education - Volume 2: CSEDU},
year={2024},
pages={230-237},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012628800003693},
isbn={978-989-758-697-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Conference on Computer Supported Education - Volume 2: CSEDU
TI - Advancing Educational Analytics Using Machine Learning in Romanian Middle School Data
SN - 978-989-758-697-2
AU - Daniel Pop I.
AU - Coroiu A.
PY - 2024
SP - 230
EP - 237
DO - 10.5220/0012628800003693
PB - SciTePress