The Rural-Urban Digital Divide Is Not Just About Devices: The Role of Digital Literacy in Education
Author: Prangya J Samal
Introduction
The digital world can be imagined as a vast highway to knowledge and economic opportunity, capable of connecting students to resources that were once difficult to access. However, this promise is far from being fulfilled equally. In India, the rural-urban digital divide continues to determine who can access this highway, how smoothly they can travel, and whether they can actually reach its opportunities. The divide extends beyond device ownership to connectivity, affordability, digital literacy, language and institutional support. These inequalities are therefore closely linked with achieving goals like Sustainable Development Goal (SDG) 4 (Quality Education), SDG 5 (Gender Equality), and SDG 10 (Reduced Inequalities). The challenge is not simply to expand digital access, but to ensure that digital education reaches rural learners in ways that are reliable, meaningful and inclusive.
Nature and Extent of the Rural-Urban Digital Divide
The rural–urban digital divide in Indian education is no longer simply a question of who owns a device; it is also about the quality, reliability and usefulness of the access available to students. A smartphone may provide the internet in a student’s hand, but it does not provide them with the same educational opportunities. In some rural areas in West Bengal, smartphone ownership reaches around 60%, yet computer or laptop ownership remains much lower. This distinction matters because a phone can support activities such as watching a lecture or downloading a PDF, but it becomes restrictive when a student needs to write a long assignment, code, take an examination or work with complex digital resources. Thus, device ownership can conceal rather than eliminate inequality (Chowdhury, 2026).
Internet access itself does not guarantee digital capability. Government data show that 82.1% of rural youth aged 15-24 could access the internet, but only 60% could search for information online and 43.6% could send emails. This gap between access and practical skills shows why connectivity alone cannot close the educational divide (PIB, 2024). The second issue is connectivity and infrastructure. Internet access depends on electricity, network quality and affordability, rather than merely on whether a signal is available. School connectivity also remains uneven, and the large number of schools facing electricity constraints highlights this infrastructural gap. UDISE+ data also show that electricity provision remains uneven across states. For example, in 2023–24, functional electricity was reported in 86.3% of schools in Assam, compared with 95.8% in Odisha. These differences demonstrate how digital learning remains dependent on uneven physical infrastructure.
At the national level, connectivity has expanded significantly. India has 958 million active internet users in 2025, of whom 57% were rural users. Broadband connections also increased from 6.1 crore in 2014 to 99.56 crore in September 2025. However, last mile connectivity, device affordability and digital literacy remain continuing concerns (IBEF, 2026).
Connectivity also has an economic dimension, when data costs have a larger share of a low-income household’s budget, students may ration their internet use and avoid data-heavy educational resources. Finally, access is shaped by the availability and language of content. Platforms such as DIKSHA have expanded digital learning and now support content in 36 Indian languages, but UNESCO notes that some regional languages and dialects remain underrepresented and that digital education continues to face language and infrastructure
barriers, particularly in rural and tribal communities. For a learner whose strongest language is Assamese, Odia, Santali or a local dialect, an online resource that exists but is difficult to understand is only accessible in a technical sense. The divide, therefore, operates through a chain
device → connectivity → affordability → usable content.
A student may possess the first link and still remain excluded from the educational benefits of the digital world (Sarma & Sarma, 2025)
Digital Technology and Meaningful Educational Outcomes
Digital technology does not automatically improve education simply because a student has access to a smartphone, computer, or internet connection. What determines its educational value is digital literacy, the ability to use technology meaningfully, critically, and confidently and the digital support available around the student. This shows the third-level digital divide, where inequality is visible not merely in access or usage, but in the actual benefits and outcomes people derive from technology.
Evidence from rural and urban schools similarly shows that ICT outcomes depend on infrastructure, teacher competence and student engagement, rather than access alone. The study therefore supports viewing digital inclusion as a combination of technology, skills and institutional support (Kanvaria & Yadav, 2025). For students, this means moving beyond passive activities such as watching videos or scrolling social media towards searching for reliable information, completing digital assignments, evaluating online content, protecting oneself from misinformation and fraud, and using digital platforms for education and future opportunities. The assumption that young people are naturally digitally literate can be misleading as familiarity with technology does not mean the ability to use it productively. The experience of adolescent girls in Gumla, Jharkhand, illustrates how digital literacy can translate access into meaningful educational outcomes. The Akanksha Digital Literacy Training Programme, implemented among rural girls to improve digital literacy and was associated with continued education, greater awareness and uptake of government schemes. (Gogoi et al, 2025).
Even for teachers, digital literacy is equally important because they are the link between technological access and actual classroom learning. Devices can become little more than equipment in a classroom unless teachers possess Technological Pedagogical Content Knowledge (TPACK) and can integrate digital resources into curriculum and pedagogy. For example, a teacher who can use an interactive map, an accessible digital textbook or an online assessment can turn a device into a meaningful learning resource rather than an occasional classroom accessory. (Anjani & Govender, 2025).
Recent research on rural teachers similarly shows that the digital divide is shaped not only by devices but by technical support, infrastructure, time constraints, and teachers’ confidence in using technology.
Finally, parents are the third layer of this ecosystem. Digitally confident parents can guide children in using the internet for learning, managing screen time, addressing online risks, and accessing educational opportunities, while limited parental digital and linguistic literacy can leave children dependent on trial and error. Thus, the digital divide in rural education is not only about who owns a device, but who has the skills, guidance, confidence, and supportive environment to make that device educationally meaningful (DEF, 2024).
Factors Shaping the Rural-Urban Digital Learning Divide
The difference in digital learning capabilities between rural and urban students is produced by a combination of socio-economic, infrastructural, institutional, and socio-cultural conditions, rather than by device ownership alone.
Socio-economic inequality determines not only whether a family can purchase a device, but also whether it can afford a better handset, regular data, repairs, and a quiet space for learning. The same smartphone can therefore represent very different educational possibilities for different households.
Linguistic inequality forms another barrier. Students who are comfortable with English or other dominant digital languages can access a wider range of resources, while those who depend on regional or tribal languages may encounter fewer resources and less accessible interfaces. Institutional capacity further determines whether available technology becomes usable learning infrastructure. Teachers require digital-pedagogical preparation, while schools need personnel who can maintain devices, troubleshoot platforms, and support their continued use. Without this institutional “backbone,” a smart classroom can gradually become little more than unused equipment.
Finally, these inequalities are reinforced by gender and social location. Rural girls may face restrictions on phone ownership or internet use because of concerns about safety, reputation, or household expectations. Recent GSMA evidence shows that in India, mobile internet use was reported at 47% among rural men but only 26% among rural women, revealing how geography and gender can intersect to produce deeper exclusion. Similarly, children from tribal and economically marginalised communities may face overlapping disadvantages of poverty, remoteness, language and limited institutional support. The digital learning gap therefore behaves less like a single wall and more like several gates placed along the same road: income determines what can be afforded, infrastructure determines whether it works, institutions determine how it is used, and social conditions determine who can benefit fully. (Choudhury, 2026).
Government Policies and Initiatives for Bridging the Rural-Urban Digital Divide
The National Education Policy (NEP) 2020 places technology within teaching, learning, assessment and administration, while promoting while promoting technology-enabled learning and equitable access. Its implementation is supported by platforms such as DIKSHA, SWAYAM, SWAYAMPRABHA and PM e-VIDYA, which together provide digital, online and television-based learning opportunities.
DIKSHA, for instance, connects students and teachers to curriculum-linked resources, while PM e-VIDYA moves learning beyond internet-dependent platforms through television and other media. However, the existence of a platform does not guarantee meaningful access. Experiences from vernacular-medium schools in Assam, where students reported slow loading, freezing applications and difficulties using DIKSHA on low-end smartphones, highlight the gap between policy design and everyday accessibility. The same implementation challenge appears in teacher development. NEP 2020 recognises teachers as central to technology-enabled education and promotes professional development through initiatives such as NISHTHA. Yet, where teachers receive limited digital-pedagogical training, technology can remain an occasional classroom tool rather than becoming part of regular teaching practice (Choudhury, 2026)
Beyond schools, Digital India and the Pradhan Mantri Gramin Digital Saksharta Abhiyan (PMGDISHA) seek to expand digital capabilities across rural households, with PMGDISHA targeting six crore rural households for basic digital literacy. The PMGDISHA, launched to promote basic digital literacy in rural areas, had trained 6.39 crore individuals by March 2024 against its target of six crore., showing the scale of India’s effort to make digital literacy a component of rural inclusion (PIB, 2026).
Yet policy ambition continues to encounter basic infrastructural realities. Community-based approaches such as Soochnapreneur centres and, local digital facilitators, offer another useful direction by bringing digital services, training and support closer to rural communities. Taken together, these initiatives suggest that bridging the divide requires more than distributing devices. Government policy needs to function as an ecosystem in which reliable infrastructure, affordable access, multilingual content, trained teachers and community support reinforce one another. In other words, the real measure of digital policy should not be how much technology reaches a village, but how much educational opportunity that technology creates once it gets there (Kanwar & Chand, 2025).
Policy Measures for Meaningful Digital Inclusion
Bridging the rural-urban digital divide requires a shift from simply distributing technology to creating the conditions in which technology can actually work. A tablet lying unused because of poor connectivity or lack of technical support does little for a child’s education. The first priority, therefore, should be reliable digital infrastructure. Schools need dependable electricity, functional devices and affordable internet. In areas where electricity supply is unreliable, for example, solar-powered school systems can keep computer labs and digital classrooms running even during power cuts.
The second priority is supporting teachers beyond one-time training sessions. Instead of simply teaching a teacher how to operate a digital board, training could involve practical tasks such as preparing a lesson using an online simulation, creating a digital quiz or helping students evaluate online information. Peer-learning groups could then allow teachers to share what worked in their own classrooms.
Third, digital learning should be easier to access and understand. Resources in regional languages, along with downloadable and low-bandwidth versions, can help students continue learning when internet access is weak. UNESCO’s Bhasha Matters report similarly stresses the importance of multilingual education in making learning more inclusive in India Fourth, schools should not carry the entire responsibility. Community digital centres can provide a nearby space where students can access computers, complete online applications and receive basic technical guidance. The Soochnapreneur model illustrates how local community members can become digital facilitators rather than leaving families to manage unfamiliar technology alone (Kanwar & Chand, 2025).
Finally, government programmes need to ask a more meaningful question: what changed after the technology arrived? Monitoring should therefore examine whether devices remain functional, teachers actually use them and disadvantaged students benefit from them. For instance, a district should not report success merely because 500 tablets were distributed, it should also know how many are working, how often students use them and whether their use has improved learning. Ultimately, digital inclusion is not achieved when a device reaches a village, it is achieved when a child can reliably use that device to learn, participate and create opportunities. The real measure of progress, therefore, should be not how much technology is delivered, but what that technology makes possible for the child who receives it.
Amartya Sen's capability approach offers a useful way to understand this challenge: development is meaningful when it expands people's real freedoms and capabilities. In this sense, the success of digital education should not be judged by the number of devices distributed or the extent of network coverage alone, but by whether rural students gain the capabilities to learn, participate, create and pursue opportunities through technology.
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