Authors :
Ahmed Fahad Alanazi
Volume/Issue :
Volume 11 - 2026, Issue 6 - June
Google Scholar :
https://tinyurl.com/hvdfwa3n
Scribd :
https://tinyurl.com/2zeff6ve
DOI :
https://doi.org/10.38124/ijisrt/26jun301
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
The rapid transition to online learning, accelerated by the COVID-19 pandemic, has exposed a persistent social
issue: the digital divide. While existing research documents disparities in access to technology, a critical gap remains in
understanding how these disparities translate into measurable differences in academic performance through the lens of
social stratification. This study investigates the relationship between digital access and academic outcomes among university
students in developing economies. Utilizing a mixed-methods sequential explanatory design, data were collected from 450
undergraduate students across three public universities. Quantitative findings reveal a statistically significant positive
correlation between a composite Digital Access Index and cumulative grade point average. Thematic analysis of follow-up
interviews identifies three primary mechanisms mediating this relationship: digital self-efficacy, temporal flexibility for
asynchronous learning, and access to supplementary academic resources. Drawing on Bourdieu’s theory of cultural and
social capital, the study demonstrates how digital tools function as a contemporary form of capital that reinforces existing
class structures. These findings suggest that without targeted intervention, online learning environments risk perpetuating,
rather than mitigating, educational inequality. Policy implications include recommendations for infrastructure investment,
device subsidy programs, and digital literacy training integrated into curriculum design.
Keywords :
Digital Divide; Online Learning; Social Stratification; Academic Performance; Educational Technology; Digital Capital.
References :
- World Bank. (2021). *Remote Learning During COVID-19: Lessons from Today, Principles for Tomorrow*. World Bank Publications.
- Dhawan, S. (2020). Online learning: A panacea in the time of COVID-19 crisis. Journal of Educational Technology Systems, 49(1), 5-22.
- Beaunoyer, E., Dupéré, S., & Guitton, M. J. (2020). COVID-19 and digital inequalities: Reciprocal impacts and mitigation strategies. Computers in Human Behavior, 111, 106424.
- Van Dijk, J. (2020). The Digital Divide. Polity Press.
- DiMaggio, P., Hargittai, E., Celeste, C., & Shafer, S. (2004). Digital inequality: From unequal access to differentiated use. In K. Neckerman (Ed.), Social Inequality (pp. 355-400). Russell Sage Foundation.
- Ragnedda, M. (2017). The Third Digital Divide: A Weberian Approach to Digital Inequalities. Routledge.
- Warschauer, M. (2004). Technology and Social Inclusion: Rethinking the Digital Divide. MIT Press.
- Bourdieu, P. (1986). The forms of capital. In J. Richardson (Ed.), Handbook of Theory and Research for the Sociology of Education (pp. 241-258). Greenwood Press.
- Bourdieu, P., & Passeron, J. C. (1990). Reproduction in Education, Society and Culture. Sage Publications.
- Ragnedda, M., Ruiu, M. L., & Addeo, F. (2020). Measuring digital capital: An empirical investigation. New Media & Society, 22(5), 793-816.
- Park, S. (2017). Digital Capital. Palgrave Macmillan.
- Ignatow, G., & Robinson, L. (2017). Pierre Bourdieu: Theorizing the digital. Information, Communication & Society, 20(7), 950-966.
- Putnam, R. D. (2000). Bowling Alone: The Collapse and Revival of American Community. Simon & Schuster.
- Lin, N. (2001). Social Capital: A Theory of Social Structure and Action. Cambridge University Press.
- Norris, P. (2001). Digital Divide: Civic Engagement, Information Poverty, and the Internet Worldwide. Cambridge University Press.
- Compaine, B. M. (2001). The Digital Divide: Facing a Crisis or Creating a Myth? MIT Press.
- Hargittai, E. (2010). Digital na(t)ives? Variation in internet skills and uses among members of the "net generation." Sociological Inquiry, 80(1), 92-113.
- Hargittai, E., & Hinnant, A. (2008). Digital inequality: Differences in young adults' use of the internet. Communication Research, 35(5), 602-621.
- Van Deursen, A. J., & Van Dijk, J. A. (2019). The first-level digital divide shifts from inequalities in physical access to inequalities in material access. New Media & Society, 21(2), 354-375.
- Wei, K. K., Teo, H. H., Chan, H. C., & Tan, B. C. (2021). Conceptualizing and testing a social cognitive model of the digital divide. Information Systems Research, 22(1), 170-187.
- Van Deursen, A. J., & Helsper, E. J. (2015). The third-level digital divide: Who benefits most from being online? Communication and Information Technologies Annual, 10, 29-52.
- Scheerder, A., Van Deursen, A., & Van Dijk, J. (2019). Determinants of internet skills, uses and outcomes: A systematic review of the second- and third-level digital divide. Telematics and Informatics, 34(8), 1607-1624.
- Robinson, L., & Schulz, J. (2020). Net time negotiations within the family. Information, Communication & Society, 16(4), 542-560.
- Means, B., Toyama, Y., Murphy, R., Bakia, M., & Jones, K. (2013). Evaluation of Evidence-Based Practices in Online Learning: A Meta-Analysis and Review of Online Learning Studies. US Department of Education.
- Robinson, K., Hill, V., & Hall, J. (2020). The impact of the digital divide on student learning during COVID-19 school closures. Educational Researcher, 49(8), 549-565.
- Robinson, L., Schulz, J., & Blank, G. (2020). Digital inequalities and learning outcomes: A longitudinal study. Social Science Computer Review, 38(6), 748-765.
- Kuhfeld, M., Soland, J., Tarasawa, B., Johnson, A., Ruzek, E., & Liu, J. (2020). Projecting the potential impact of COVID-19 school closures on academic achievement. Educational Researcher, 49(8), 549-565.
- Azevedo, J. P., Hasan, A., Goldemberg, D., Geven, K., & Iqbal, S. A. (2021). Simulating the potential impacts of COVID-19 school closures on schooling and learning outcomes. World Bank Policy Research Working Paper, 9458.
- Azevedo, J. P., Gutierrez, M., & de Hoyos, R. (2021). The unequal impacts of COVID-19 on student learning. International Journal of Educational Development, 86, 102464.
- Katz, V. S., & Gonzalez, C. (2016). Community Connections: Digital Access and Learning Outcomes Among Low-Income Families. Joan Ganz Cooney Center.
- Reisdorf, B. C., & Rikard, R. V. (2018). Digital rehabilitation: A model of reentry into the digital society. New Media & Society, 20(11), 4205-4223.
- Tsetsi, E., & Rains, S. A. (2017). Smartphone internet access and inequality: A study of the relationship between smartphone use and educational outcomes. Journal of Broadcasting & Electronic Media, 61(3), 475-494.
- Gonzales, A. L. (2016). The contemporary US digital divide: From initial access to technology maintenance. Information, Communication & Society, 19(2), 234-248.
- Livingstone, S., & Helsper, E. J. (2007). Gradations in digital inclusion: Children, young people and the digital divide. New Media & Society, 9(4), 671-696.
- Mesch, G. S. (2012). Family characteristics and intergenerational conflicts over the internet. Information, Communication & Society, 15(1), 128-147.
- Blank, G., & Groselj, D. (2014). Dimensions of internet use: Amount, variety, and types. Information, Communication & Society, 17(4), 417-435.
- Helsper, E. J. (2021). The Digital Disconnect: The Social Causes and Consequences of Digital Inequalities. Sage Publications.
- Warschauer, M., Knobel, M., & Stone, L. (2004). Technology and equity in schooling: Deconstructing the digital divide. Educational Policy, 18(4), 562-588.
- Selwyn, N. (2010). Schools and Schooling in the Digital Age: A Critical Analysis. Routledge.
- Creswell, J. W., & Plano Clark, V. L. (2017). Designing and Conducting Mixed Methods Research (3rd ed.). Sage Publications.
- Tashakkori, A., & Teddlie, C. (2010). Sage Handbook of Mixed Methods in Social & Behavioral Research (2nd ed.). Sage Publications.
- Patton, M. Q. (2015). Qualitative Research & Evaluation Methods (4th ed.). Sage Publications.
- OECD. (2019). Measuring the Digital Transformation: A Roadmap for the Future. OECD Publishing.
- Bandura, A. (2006). Guide for constructing self-efficacy scales. In F. Pajares & T. Urdan (Eds.), Self-Efficacy Beliefs of Adolescents (pp. 307-337). Information Age Publishing.
- Rubin, H. J., & Rubin, I. S. (2011). Qualitative Interviewing: The Art of Hearing Data (3rd ed.). Sage Publications.
- Kvale, S., & Brinkmann, S. (2009). InterViews: Learning the Craft of Qualitative Research Interviewing (2nd ed.). Sage Publications.
- Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77-101.
- Gonzales, A. L., McCrory Calarco, J., & Lynch, T. (2020). Technology problems and student achievement gaps: A validation and extension of the technology maintenance construct. Communication Research, 47(5), 750-770.
- Reisdorf, B. C., & Rhinesmith, C. (2020). Digital inclusion as a social determinant of health. Journal of Medical Internet Research, 22(5), e16721.
- Littlejohn, A., Beetham, H., & McGill, L. (2012). Learning at the digital frontier: A review of digital literacies in theory and practice. Journal of Computer Assisted Learning, 28(6), 547-556.
- Helsper, E. J., & Eynon, R. (2013). Distinct skill pathways to digital engagement. European Journal of Communication, 28(6), 696-713.
- Van Laar, E., Van Deursen, A. J., Van Dijk, J. A., & de Haan, J. (2020). Determinants of 21st-century skills and 21st-century digital skills for workers: A systematic literature review. Sage Open, 10(1), 1-14.
The rapid transition to online learning, accelerated by the COVID-19 pandemic, has exposed a persistent social
issue: the digital divide. While existing research documents disparities in access to technology, a critical gap remains in
understanding how these disparities translate into measurable differences in academic performance through the lens of
social stratification. This study investigates the relationship between digital access and academic outcomes among university
students in developing economies. Utilizing a mixed-methods sequential explanatory design, data were collected from 450
undergraduate students across three public universities. Quantitative findings reveal a statistically significant positive
correlation between a composite Digital Access Index and cumulative grade point average. Thematic analysis of follow-up
interviews identifies three primary mechanisms mediating this relationship: digital self-efficacy, temporal flexibility for
asynchronous learning, and access to supplementary academic resources. Drawing on Bourdieu’s theory of cultural and
social capital, the study demonstrates how digital tools function as a contemporary form of capital that reinforces existing
class structures. These findings suggest that without targeted intervention, online learning environments risk perpetuating,
rather than mitigating, educational inequality. Policy implications include recommendations for infrastructure investment,
device subsidy programs, and digital literacy training integrated into curriculum design.
Keywords :
Digital Divide; Online Learning; Social Stratification; Academic Performance; Educational Technology; Digital Capital.