Author: Dr. R. Selvamani & Dr. R. Mangaleswaran
DOI Link: https://doi.org/10.70798/Bijmrd/03110007
Abstract: Artificial intelligence is reshaping rural development, yet youth impacts in India remain understudied. A systematic review and meta-analysis synthesized empirical studies on rural Indian youth. Methods followed PRISMA 2020 standards for transparent selection and reporting (Page et al., 2021). Outcomes covered leisure, mental health, education, gender attitudes, service use, and hygiene. Random-effects models aggregated standardized mean differences and assessed between-study heterogeneity. Educational and health knowledge showed large positive associations (d=0.77, p<1e-5). Gender and social attitudes displayed moderate positive associations (d=0.40, p<1e-5). Health and hygiene practices showed moderate gains (d=0.46, p<1e-5). Service use and violence outcomes showed negative associations (d=-0.38, p<1e5). Leisure and mental health exhibited small, nonsignificant changes (d=0.04, p=0.08). Associations favored cognitive and attitudinal domains over service engagement or safety behaviors. Results indicate correlations, not causes, and may reflect access barriers or disparities. Policy design should strengthen beneficial domains while addressing service uptake challenges. Evidence provides a structured basis for evaluating AI within rural socio-economic change.
Keywords: Artificial Intelligence, Rural Youth Development, Knowledge Outcomes, Gender Attitudes, Service Barriers.
Page No: 48-60