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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...
Autores principales: | Onyema, Edeh Michael, Almuzaini, Khalid K., Onu, Fergus Uchenna, Verma, Devvret, Gregory, Ugboaja Samuel, Puttaramaiah, Monika, Afriyie, Rockson Kwasi |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
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 |
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