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

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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

,

und

30. Dez. 2021

Applied Computer Systems

Band 26 (2021): Heft 2 (Dezember 2021)

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Online veröffentlicht: 30. Dez. 2021

Seitenbereich: 122 - 131

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

Schlüsselwörter
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

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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

Online veröffentlicht: 30. Dez. 2021

Seitenbereich: 122 - 131

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

SchlüsselwörterAcademic 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.

Schlüsselwörter
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