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- Title
A Machine Learning Techniques Used For Students' Academic Success Prediction.
- Authors
Kalhapure, Balasaheb B.
- Abstract
Young generation of every country is the future of the country. The country with the highest GER in higher education will be more successful in all the terms (Keller, K.R.I., 2021). India's GER in higher education in 2018-19 was 26.3, and in 2019-20 is 27.1.It is observed from statistics that it is which is increased. Students are enrolling for higher education but many fails to complete it (Ministry of Education, Government of India, AISHE Report 2019-20). This leads to the need of identification of reasons of students' academic success or failure. If we predict students' academic success or failure at the initial stages of their graduation period will help to take preventive measures and increase passing percentage. Student academic success is one of the criteria for accessing quality of the educational institutions, and it is one of the crucial components. There are different aspects of students' academic success, such as exam-oriented, employment-oriented, and higher study-oriented.
- Subjects
INDIA; MACHINE learning; SCHOOL failure; EDUCATIONAL quality; ACADEMIC achievement; HIGHER education
- Publication
Journal of Advanced Zoology, 2024, Vol 45, p101
- ISSN
0253-7214
- Publication type
Article