Prospects and Challenges of Using Machine Learning for Academic Forecasting

The study examines the prospects and challenges of machine learning (ML) applications in academic forecasting. Predicting academic activities through machine learning algorithms presents an enhanced means to accurately forecast academic events, including the academic performances and the learning st...

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Detalles Bibliográficos
Autores principales: Onyema, Edeh Michael, Almuzaini, Khalid K., Onu, Fergus Uchenna, Verma, Devvret, Gregory, Ugboaja Samuel, Puttaramaiah, Monika, Afriyie, Rockson Kwasi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9337975/
https://www.ncbi.nlm.nih.gov/pubmed/35909823
http://dx.doi.org/10.1155/2022/5624475

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9337975/
https://www.ncbi.nlm.nih.gov/pubmed/35909823
http://dx.doi.org/10.1155/2022/5624475

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