Data Mining on the Prediction of Student’s Performance at the High School National Examination

Daiane Rodrigues, Murilo Regio, Soraia Musse, Isabel Manssour

2021

Abstract

The High School National Exam (ENEM) is the major Brazilian exam to measure the knowledge of high school students. Since it is also used as a criterion to enter public and private universities, there is an interest in identifying the indicators that have the most influence in obtaining good performance. This work presents a prediction model for the participant’s performance, which allows us to identify the features that best explain their exam results. For this work, we used open data provided by the Ministry of Education and the Logistic Regression technique. The predictive model allows us to infer the student’s performance with an accuracy of 74%. Also, since we are using a statistical model of easy interpretation and implementation, instead of a complex Machine Learning technique, school managers could use the results without a deep understanding of the used mining technique.

Paper Citation

in Harvard Style

Rodrigues D., Regio M., Musse S. and Manssour I. (2021). Data Mining on the Prediction of Student’s Performance at the High School National Examination. In Proceedings of the 13th International Conference on Computer Supported Education - Volume 1: CSEDU, ISBN 978-989-758-502-9, pages 92-99. DOI: 10.5220/0010408000920099

in Bibtex Style

@conference{csedu21,
author={Daiane Rodrigues and Murilo Regio and Soraia Musse and Isabel Manssour},
title={Data Mining on the Prediction of Student’s Performance at the High School National Examination},
booktitle={Proceedings of the 13th International Conference on Computer Supported Education - Volume 1: CSEDU,},
year={2021},
pages={92-99},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010408000920099},
isbn={978-989-758-502-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Conference on Computer Supported Education - Volume 1: CSEDU,
TI - Data Mining on the Prediction of Student’s Performance at the High School National Examination
SN - 978-989-758-502-9
AU - Rodrigues D.
AU - Regio M.
AU - Musse S.
AU - Manssour I.
PY - 2021
SP - 92
EP - 99
DO - 10.5220/0010408000920099