Academic Performance Modelling with Machine Learning Based on Cognitive and Non-Cognitive Features

Owusu-Boadu, Bridgitte; Nti, Isaac Kofi; Nyarko-Boateng, Owusu; Aning, Justice; Boafo, Victoria

Open Access

Academic Performance Modelling with Machine Learning Based on Cognitive and Non-Cognitive Features

Bridgitte Owusu-Boadu

Owusu-Boadu, Bridgitte

,

Isaac Kofi Nti

Nti, Isaac Kofi

,

Owusu Nyarko-Boateng

Nyarko-Boateng, Owusu

,

and

Dec 30, 2021

Applied Computer Systems

Volume 26 (2021): Issue 2 (December 2021)

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Published Online: Dec 30, 2021

Page range: 122 - 131

DOI: https://doi.org/10.2478/acss-2021-0015

Keywords
Academic performance, AdaBoost, artificial neural network, decision tree, educational data mining, k-nearest neighbour, logistic regression, machine learning, naïve Bayes, random forest, support vector machine

© 2021 Bridgitte Owusu-Boadu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Owusu-Boadu, Bridgitte

Brivink Consult & TechnologySunyani, Ghana

Nti, Isaac Kofi

Department of Computer Science and Informatics, University of Energy and Natural ResourcesSunyani, Ghana

Nyarko-Boateng, Owusu

Department of Computer Science and Informatics, University of Energy and Natural ResourcesSunyani, Ghana

Aning, Justice

Department of Computer Science, Sunyani Technical UniversitySunyani, Ghana

Boafo, Victoria

Department of Computer Science & ICT, Mampong Technical College of EducationMampong, Ghana

Language:: English

Publication timeframe:: 1 times per year
Journal Subjects:: Computer Sciences, Artificial Intelligence, Information Technology, Project Management, Software Development

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Academic Performance Modelling with Machine Learning Based on Cognitive and Non-Cognitive Features

Bridgitte Owusu-Boadu

Isaac Kofi Nti

Owusu Nyarko-Boateng

Justice Aning

Victoria Boafo

Published Online: Dec 30, 2021

Page range: 122 - 131

DOI: https://doi.org/10.2478/acss-2021-0015

KeywordsAcademic performance, AdaBoost, artificial neural network, decision tree, educational data mining, k-nearest neighbour, logistic regression, machine learning, naïve Bayes, random forest, support vector machine

© 2021 Bridgitte Owusu-Boadu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Keywords
Academic performance, AdaBoost, artificial neural network, decision tree, educational data mining, k-nearest neighbour, logistic regression, machine learning, naïve Bayes, random forest, support vector machine