International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
•
Impact Factor: 9.24
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
Home
Research Paper
Submit Research Paper
Publication Guidelines
Publication Charges
Upload Documents
Track Status / Pay Fees / Download Publication Certi.
Editors & Reviewers
View All
Join as a Reviewer
Get Membership Certificate
Current Issue
Publication Archive
Conference
Publishing Conf. with IJFMR
Upcoming Conference(s) ↓
Conferences Published ↓
DePaul-2026
IC-AIRCM-T3-2026
NSSFIGTMA-2025
SPHERE-2025
AIMAR-2025
SVGASCA-2025
ICRTET-4
ICCE-2025
Chinai-2023
PIPRDA-2023
ICMRS'23
Contact Us
Plagiarism is checked by the leading plagiarism checker
Call for Paper
Volume 8 Issue 5
September-October 2026
Indexing Partners
Artificial Intelligence and the Reproduction of Educational Inequality: The Role of Digital Capital among University Students in India
| Author(s) | Dr. Nagendra N |
|---|---|
| Country | India |
| Abstract | Artificial intelligence (AI) tools are rapidly reshaping how university students learn, yet the benefits of these tools may not be equally distributed. Grounded in Bourdieu's theory of capital and social reproduction and in digital capital theory (Ragnedda, 2018), this study examines whether digital capital shapes the perceived reproduction of educational inequality through the sequential mechanisms of AI literacy and AI usage for learning. A quantitative, cross-sectional survey was administered to 410 university students enrolled in undergraduate programmes in India. Exploratory Factor Analysis confirmed a clean four-factor structure (KMO = .886; Bartlett's χ²(190) = 3005.49, p < .001), and Confirmatory Factor Analysis in AMOS established satisfactory reliability and validity (Cronbach's α = .803–.846; composite reliability = .804–.846; discriminant validity confirmed via the Fornell–Larcker criterion and Heterotrait-Monotrait ratios, all below .60). Structural Equation Modelling revealed that Digital Capital significantly and positively predicted AI Literacy (β = .502, p < .001), which in turn predicted AI Usage for Learning (β = .581, p < .001), which significantly predicted Educational Inequality Perception (β = .529, p < .001). The direct path from Digital Capital to Educational Inequality Perception was non-significant (β = -.064, p = .292), while the standardized serial indirect effect through AI Literacy and AI Usage was significant (β = .154, 95% CI [.114, .206], p = .001), indicating full mediation. These findings suggest that unequal digital capital shapes perceptions of AI-driven educational inequality almost entirely through the literacy-usage pathway rather than through direct access alone, with implications for equitable AI integration in Indian higher education. |
| Keywords | Digital Capital, Artificial Intelligence Literacy, AI Usage for Learning, Educational Inequality, Digital Divide, Structural Equation Modelling, India |
| Field | Sociology |
| Published In | Volume 8, Issue 5, September-October 2026 |
| Published On | 2026-09-12 |
| DOI | https://doi.org/10.36948/ijfmr.2026.v08i05.87354 |
Share this

E-ISSN 2582-2160
CrossRef DOI prefix of IJFMR is 10.36948/ijfmr
All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.
Powered by Sky Research Publication and Journals