research-article

Features Exploration for Grades Prediction using Machine Learning

Authors:

Kevin Bouchard,

Lucas Gonzales,

Sébastien GabouryAuthors Info & Claims

GoodTechs '20: Proceedings of the 6th EAI International Conference on Smart Objects and Technologies for Social Good

Pages 78 - 83

https://doi.org/10.1145/3411170.3411232

Published: 14 September 2020 Publication History

Abstract

The province of Quebec in Canada has begun to implement an important plan to bring a digital shift to the educational system. One of the key aspects of this plan is to implement a global electronic student file system. These electronic files encompass a lot of information that can in turn be used to monitor the progress of the students. In this paper, our team was able to obtain a large dataset from this new technological platform and used it to predict the grade of students. We tested up to 328 features and produced different datasets for classification. Moreover, different features selection methods were used. Finally, we were able to predict the end of the year final grade with up to 75% accuracy.

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Cited By

Lakshmi SMaheswaran C(2024)Effective deep learning based grade prediction system using gated recurrent unit (GRU) with feature optimization using analysis of variance (ANOVA)Automatika10.1080/00051144.2023.229679065:2(425-440)Online publication date: 10-Jan-2024
https://doi.org/10.1080/00051144.2023.2296790
Abdul Bujang SSelamat AKrejcar OMohamed FCheng LChiu PFujita H(2023)Imbalanced Classification Methods for Student Grade Prediction: A Systematic Literature ReviewIEEE Access10.1109/ACCESS.2022.322540411(1970-1989)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2022.3225404
Taya-Acosta EBarraza-Vizcarra HRamirez-Rejas RTaya-Osorio E(2022)Academic Performance Evaluation Using Data Mining in Times of PandemicTECHNO REVIEW. International Technology, Science and Society Review /Revista Internacional de Tecnología, Ciencia y Sociedad10.37467/gkarevtechno.v11.332411:1(89-106)Online publication date: 3-Aug-2022
https://doi.org/10.37467/gkarevtechno.v11.3324

Index Terms

Features Exploration for Grades Prediction using Machine Learning
1. Computing methodologies
  1. Machine learning
2. Human-centered computing
  1. Collaborative and social computing

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cover image ACM Other conferences

GoodTechs '20: Proceedings of the 6th EAI International Conference on Smart Objects and Technologies for Social Good

September 2020

286 pages

ISBN:9781450375597

DOI:10.1145/3411170

General Chairs:
Catia Prandi
University of Bologna, Italy
,
Johann Marquez-Barja
University of Antwerp - imec, Belgium

Copyright © 2020 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 September 2020

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Natural Sciences and Engineering Research Council of Canada

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GoodTechs '20

GoodTechs '20: 6th EAI International Conference on Smart Objects and Technologies for Social Good

September 14 - 16, 2020

Antwerp, Belgium

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Cited By

Lakshmi SMaheswaran C(2024)Effective deep learning based grade prediction system using gated recurrent unit (GRU) with feature optimization using analysis of variance (ANOVA)Automatika10.1080/00051144.2023.229679065:2(425-440)Online publication date: 10-Jan-2024
https://doi.org/10.1080/00051144.2023.2296790
Abdul Bujang SSelamat AKrejcar OMohamed FCheng LChiu PFujita H(2023)Imbalanced Classification Methods for Student Grade Prediction: A Systematic Literature ReviewIEEE Access10.1109/ACCESS.2022.322540411(1970-1989)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2022.3225404
Taya-Acosta EBarraza-Vizcarra HRamirez-Rejas RTaya-Osorio E(2022)Academic Performance Evaluation Using Data Mining in Times of PandemicTECHNO REVIEW. International Technology, Science and Society Review /Revista Internacional de Tecnología, Ciencia y Sociedad10.37467/gkarevtechno.v11.332411:1(89-106)Online publication date: 3-Aug-2022
https://doi.org/10.37467/gkarevtechno.v11.3324

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