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Trends in enrolment and academic performance of scheduled tribe students at the undergraduate level in Assam: A decadal analysis

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  • Trends in enrolment and academic performance of scheduled tribe students at the undergraduate level in Assam: A decadal analysis

Kongkon Bordoloi and Diganta Hatiboruah *

Department of Physics, Majuli College, Majuli, Assam, India.

Research Article
 

World Journal of Advanced Research and Reviews, 2024, 23(03), 1205–1211
Article DOI: 10.30574/wjarr.2024.23.3.2772
DOI url: https://doi.org/10.30574/wjarr.2024.23.3.2772

Received 31 July 2024; revised on 08 September 2024; accepted on 10 September 2024

This research work examines the enrolment and performance pattern of the Scheduled Tribe (ST) students at the undergraduate level in Assam for the period of 2012-2022. Based on the enrolment data collected from various ST students, the study examines the gender pattern and course selection of students in different disciplines such as B.A., B.Com., and B.Sc. The study reveals major trends in enrolment increase, gender distribution, and course choices for the decade. Using chi-square tests and comparative performance measures, the study reveals factors that affect academic performance and enrolment. Furthermore, bar graphs and line charts are used to present these trends and to give further analysis. The conclusion of this study provides significant implications for the policymakers and educators who are interested in improving the educational access and opportunities for ST students in the higher education in Assam.

Assam; Scheduled tribe; Academic performance; Gender distribution; Degree enrollment; Decadal Analysis

https://wjarr.co.in/sites/default/files/fulltext_pdf/WJARR-2024-2772.pdf

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Kongkon Bordoloi and Diganta Hatiboruah. Trends in enrolment and academic performance of scheduled tribe students at the undergraduate level in Assam: A decadal analysis. World Journal of Advanced Research and Reviews, 2024, 23(03), 1205–1211. Article DOI: https://doi.org/10.30574/wjarr.2024.23.3.2772 

Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0

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