Balasaheb Kalhapure | International Journal of Computer Aided Manufacturing | Vol 10, Issue 01 | pp. 1-6 | ISSN: 2456-642X
Abstract
This research paper aims to identify early predictions of students’ academic success with the help of different indicators. One of the crucial parts of the study is identifying additional indicators that play an essential role in defining students' academic success. Early prediction of success will be helpful for various stakeholders such as students, parents, educators/teachers, institutions, universities, and the government. Machine Learning is a part of Artificial Intelligence (AI) and is a growing technology that enables computers to learn automatically from past data. With different mathematical algorithms, Ma- chine Learning develops prediction models which predict output with the help of historical data. We can apply Machine learning techniques in the education domain to help educators as well as education seekers. We can align teaching and learning methods in skill-based education. With the help of different machine learning techniques, we can identify factors that play major roles in student success.
Keywords: Education, Machine learning, Artificial Intelligence, different mathematical algorithms,
SASP
Keywords
Education, Artificial intelligence, different mathematical algorithms, SASP, Machine learning
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How to cite this article
APA
Kalhapure, B. (2024). A Role of Machine Learning for Students’ Academic Success Prediction. International Journal of Computer Aided Manufacturing, 10(01), 1-6.MLA
Kalhapure, Balasaheb. “A Role of Machine Learning for Students’ Academic Success Prediction.” International Journal of Computer Aided Manufacturing, vol. 10, no. 01, 2024, pp. 1-6.Chicago
Balasaheb Kalhapure. “A Role of Machine Learning for Students’ Academic Success Prediction.” International Journal of Computer Aided Manufacturing 10, no. 01 (2024): 1-6.Vancouver
Kalhapure B. A Role of Machine Learning for Students’ Academic Success Prediction. International Journal of Computer Aided Manufacturing. 2024;10(01):1-6.BibTeX
@article{KalhapureB2024,
author = {Balasaheb Kalhapure},
title = {A Role of Machine Learning for Students’ Academic Success Prediction},
journal = {International Journal of Computer Aided Manufacturing},
year = {2024},
volume = {10},
number = {01},
pages = {1--6},
issn = {2456-642X},
url = {https://journalspub.com/publication/ijcam/article=6840}
}