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

,

y

30 dic 2021

Applied Computer Systems

Volumen 26 (2021): Edición 2 (Diciembre 2021)

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Publicado en línea: 30 dic 2021

Páginas: 122 - 131

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

Palabras clave
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

Idioma:: Inglés

Calendario de la edición:: 1 veces al año
Temas de la revista:: Informática, Inteligencia artificial, Tecnologías de la información, Gestión de proyectos, Desarrollo de software

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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

Publicado en línea: 30 dic 2021

Páginas: 122 - 131

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

Palabras claveAcademic 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.

Palabras clave
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