AI for Preventing School Dropout in Rural India: A Data-Driven Approach to Educational Equity
School dropout in rural India is a persistent challenge influenced by socio-economic factors, poor infrastructure, and lack of early intervention. This paper explores how Artificial Intelligence (AI) can be leveraged to predict and prevent school dropouts by analysing data related to student behaviour, academic performance, attendance, and socio-economic background. We examine existing AI applications in education, present a conceptual AI framework tailored for rural schools, and propose a model for community-based implementation. The aim is to enhance educational continuity, reduce dropout rates, and support India’s pursuit of inclusive and equitable quality education.
"AI for Preventing School Dropout in Rural India: A Data-Driven Approach to Educational Equity ", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.10, Issue 9, page no.a239-a245, September-2025, Available :https://ijsdr.org/papers/IJSDR2509031.pdf
Volume 10
Issue 9,
September-2025
Pages : a239-a245
Paper Reg. ID: IJSDR_304845
Published Paper Id: IJSDR2509031
Downloads: 000156
Research Area: Science and Technology
Country: Amritsar, Punjab, India
DOI: https://doi.org/10.56975/ijsdr.v10i9.304845
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
