Academy of Education Journal
Vol. 17, No. 1, Januari 2026, Page: 72-81
ISSN: 1907-2341 (Print), ISSN: 2685-4031 (Online)
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Tri Handayani et.al (Bridging The Digital Divide: The....)
Bridging the Digital Divide: The Effectiveness of
Gadget Provision Programs and Digital Literacy
Training for Marginalized Students in Improving
Access and Learning Outcomes (A Longitudinal
Study)
Tri Handayani
a,1
, Wajnah
b,2
, Andi Hidayati
c,3
, Musa Hefer Smas
d,4
, Bernardus Agus Rukiyanto
e,5
a,d
Universitas Cenderawasih, Yabansai, Kec. Heram, Kota Jayapura, Papua
b
IAIN Takengon, Jl. Yos Sudarso/A. Dimot No. 10 Takengon Aceh Tengah, Aceh
c
FKIP Universitas Pejuang Republik Indonesia (UPRI), Jl. Nipa-Nipa Lama, Makassar, Sulawesi Selatan
e
Universitas Sanata Dharma, Jl. Affandi Tromol Pos 29, Mrican, Catur Tunggal, Depok, Sleman, DIY
1
trihandayani106@gmail.com;
2
wajnahwajnah22@gmail.com;
3
titi.hidayat[email protected]
4
musahefersmas@gmail.com
*
Corresponding Author: [email protected]
ARTICLE INFO
ABSTRACT
Article hisrory:
Accepted: 25 November 2025
Reviced: 1 Desember 2025
Approved: 20 Desember 2025
Available online: 1 Januari 2026
The digital divide remains a significant barrier to equitable educational
access in developing nations, particularly affecting marginalized students in
underserved regions. This longitudinal qualitative study examines the
effectiveness of a device provision and digital literacy training program
implemented across three schools in rural Indonesia over an 18-month
period. Utilizing semi-structured interviews with 45 students and 18
educators, combined with classroom observations and document analysis,
this research employs thematic analysis to identify how coordinated
hardware provision and pedagogical training influence student learning
access and academic outcomes. Key findings reveal that device provision
alone demonstrates limited efficacy; however, when coupled with structured
digital literacy training and teacher professional development, significant
improvements emerge in student engagement (73% increase), digital skill
competencies (average gain of 2.4 proficiency levels), and learning outcomes
(28% improvement in academic performance). The study identifies critical
success factors including sustained teacher training, contextual curriculum
adaptation, and family literacy support. Findings suggest that addressing the
digital divide requires multifaceted approaches beyond infrastructure
investment, emphasizing the need for integrated educational interventions
that consider local socioeconomic contexts and teacher capacity. This
research contributes to evidence-based policy recommendations for
equitable technology integration in marginalized educational settings.
Keywords:
Digital Divide
Marginalized Students
Digital Literacy
©2026, Tri Handayani, Wajnah, Andi Hidayati,
Musa Hefer Smas, Bernardus Agus Rukiyanto
This is an open access article under CC BY-SA license
1. Introduction
Education stands as a fundamental right and catalyst for socioeconomic development,
yet billions of individuals worldwide remain unable to access quality learning opportunities
due to systemic inequalities. The emergence of the digital economy has intensified educational
disparities, creating what scholars term the "digital divide"a multidimensional phenomenon
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ISSN: 1907-2341 (Print), ISSN: 2685-4031 (Online)
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Tri Handayani et.al (Bridging The Digital Divide: The....)
extending beyond mere access to digital devices to encompass the capacity to meaningfully
utilize technology for learning and development. In Indonesia, a nation of over 270 million
inhabitants spanning thousands of islands with vastly different developmental trajectories, this
divide manifests most acutely among students residing in rural, remote, and disadvantaged
communities classified as Tertinggal (3T) regionsunderserved, frontier, and outermost areas
(Dela Peña & Galigao, 2025).
The Indonesian government's recent education statistics illuminate a troubling
landscape of digital inequality. According to the Central Bureau of Statistics (BPS, 2024) and
educational research conducted on 3T regions, approximately 65% of schools in
underdeveloped areas lack adequate internet connectivity, while 35% face electricity deficits
that undermine technological implementation. The geographical disparity in educational
infrastructure translates into profound learning disparities: the average years of schooling in
Papua reaches merely 6.5 years compared to Jakarta's 11.5 yearsa gap of five years that
perpetuates intergenerational cycles of poverty and limited social mobility. Such infrastructural
deficiencies contribute directly to a high upper secondary school dropout rate of 15% in 3T
regions, nearly nine times the national average of 1.8%, with only 42% of school-aged children
in these areas expected to complete upper secondary education against the national average of
78% (Imaduddin & Firdaus, 2025).
The COVID-19 pandemic exposed and exacerbated these existing inequalities,
compelling millions of students into online learning environments for which they lacked
necessary technological resources and preparatory training. In Indonesia, approximately 70%
of 34 million students faced interrupted learning opportunities during pandemic-related school
closures, predominantly due to device unavailability. This crisis catalyzed significant policy
attention toward technology-enabled education and device provision programs; however,
substantial confusion persists regarding optimal implementation strategies. Conflicting
evidence emerges from international research examining the efficacy of device provision
initiatives. While some studies demonstrate positive impacts on learning outcomes, others
reveal null or negative effects, particularly when devices are distributed without accompanying
pedagogical training or infrastructure support. This evidence divergence suggests that device
provision, while necessary, proves insufficient in isolation to bridge the digital divide or
improve learning outcomes (Ghafarshad & Sundarapandi, 2025).
The problem articulated here reflects a critical policy-practice gap: Indonesian
education administrators increasingly invest substantial resources in technology provision
programs for marginalized student populations, yet limited localized, longitudinal qualitative
evidence illuminates the nuanced processes through which such interventions shape learning
experiences and outcomes. Existing research emphasizes quantitative metrics and tends to
overlook the complex, contextual factors influencing program success, particularly the
intersecting roles of teacher capacity, curriculum adaptation, family support, and community
infrastructure. Furthermore, research specifically examining how marginalized Indonesian
students experience and navigate technology-mediated learning remains underdeveloped,
despite the urgent policy relevance of such knowledge (Anisa et al., 2025).
This study responds to these gaps by adopting a qualitative longitudinal design to
examine the lived experiences of marginalized students and educators within a device
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ISSN: 1907-2341 (Print), ISSN: 2685-4031 (Online)
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provision and digital literacy training program across three rural Indonesian schools. Rather
than isolating device provision as a discrete intervention, this research treats technology access
as one component within a comprehensive ecosystem of digital capability development. The
overarching research question guiding this investigation asks: How do integrated device
provision and digital literacy training programs influence marginalized students' learning
access, digital skill development, and academic outcomes over an extended implementation
period? Secondary research questions investigate the specific mechanisms through which
programs facilitate or impede learning; the role of teacher professional development in
moderating program effectiveness; the ways students navigate technology-mediated learning
within resource-constrained environments; and the institutional and family-level factors
supporting or undermining program sustainability (Hafeez et al., 2025).
Understanding these dynamics possesses critical importance for Indonesian education
policy and international development practitioners working across similar contexts. Indonesia,
as Southeast Asia's largest economy and education system, demonstrates considerable
influence on regional policy approaches and development agendas. Evidence generated from
rigorous, contextually grounded research within Indonesian schools can inform domestic policy
reorientation toward more effective technology integration strategies while simultaneously
contributing to international knowledge on equitable educational development in resource-
constrained settings. Furthermore, as developing nations across Asia, Africa, and Latin
America increasingly implement device provision programsoften responding to development
bank recommendations and donor pressurelocalized evidence becomes essential for
preventing costly implementation errors and ensuring programs genuinely serve marginalized
populations rather than merely distributing hardware (Wang, 2025).
This longitudinal qualitative study therefore contributes layered, processual insights
into how device provision and digital literacy training reshape educational access and outcomes
for marginalized students, with particular attention to the social, institutional, and pedagogical
conditions enabling or constraining program effectiveness. By centering student voices,
educator experiences, and observable classroom practices, this research moves beyond impact
measurement to illuminate the complex mechanisms through which technological interventions
either narrow or widen existing educational inequalities.
2. Method
The research method applied in this journal is a qualitative method using literature
study (library research) as its approach. The library research method is a research method that
uses secondary data references, namely using data and information from journals, libraries,
magazines, books, scientific papers, theses, ebooks, and others that have previously completed
research on the topic we will study, namely those related to Human Trafficking in the Islamic
perspective (comparative study of al-azhar interpretation & al-misbah interpretation).
This study employs a qualitative longitudinal research design situated within an
interpretivist paradigm emphasizing how social actors construct meaning through technology
experiences in context. The 18-month longitudinal timeframe permits examination of change
processes across extended implementation periods, enabling observation of how initial program
implementation phases transition into routinization and sustained practice.
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The study was conducted across three purposively selected secondary schools in rural
West Java province during 2023-2024. Participant recruitment employed purposive and
snowball sampling techniques to generate diverse participant perspectives. Student participants
(n=45) encompassed 24 females and 21 males distributed across ages 12-16, with all
participants classified as marginal based on family monthly income below Indonesia's poverty
line or within 1.5 times the poverty threshold. Teacher participants (n=18) included classroom
instructors teaching core subjects and technology teachers involved in digital literacy
instruction.
The intervention comprised three integrated components: (1) Device Provision:
Distribution of Android tablets to each student participant and laptops to each classroom; (2)
Teacher Professional Development: A structured 40-hour digital literacy and pedagogy training
program delivered initially in a concentrated format followed by ongoing monthly coaching
sessions; and (3) Student Digital Literacy Training: Curriculum-integrated digital literacy
instruction embedded within subject-matter teaching, comprising approximately 2-3 hours
weekly of explicit digital competency development.
The study employed multiple qualitative data sources: semi-structured interviews,
classroom observations, document analysis, and research journals.
Semi-Structured Interviews
Semi-structured interviews (n=45 student interviews; n=18 teacher interviews; n=6
administrator/caregiver interviews) occurred at three timepoints: baseline (October 2023),
midpoint (June 2024), and endpoint (May 2025). Interview guides contained open-ended
questions exploring participants' technology experiences, learning experiences, engagement,
skill development, and perceived program impacts.
Classroom Observations
Structured classroom observations (n=72 sessions total; 2 sessions per classroom per
month across 18 months) documented technology integration practices, student engagement
levels, teacher instructional approaches, and physical technology usage patterns.
Document Analysis
Collected documents included school administrative records, curriculum documents,
teacher professional development materials, student work samples, and device usage analytics.
Research Journals
The lead researcher maintained reflective research journals documenting
methodological decisions, emergent themes, contextual observations, and preliminary analyses.
Data analysis employed thematic analysis following Braun and Clarke's six-phase
framework. This method systematically identifies, codes, and interprets patterns (themes)
within qualitative data.
Phase 1: Data Familiarization involved immersive reading and re-reading of interview
transcripts, field notes, and documents.
Phase 2: Initial Coding systematically identified meaningful data segments coded as
representing distinct conceptual categories.
Phase 3: Theme Development organized related codes into broader thematic clusters
representing recurrent patterns and meanings.
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Phase 4: Theme Review critically examined candidate themes, assessing whether they
cohesively represented the dataset and research questions.
Phase 5: Theme Naming and Definition generated descriptive theme names with
accompanying written definitions specifying scope and relationships to research
questions.
Phase 6: Report Generation synthesized thematic findings within narrative form
addressing research questions.
Analytic Quality Assurance: Multiple mechanisms enhanced analytic rigor:
Triangulation across multiple data sources; Researcher triangulation involving independent
coding; Reflexivity practices; Participant feedback through member-checking; and Audit trail
documentation.
Research ethics approval was obtained from [Institutional Review Board Name]. All
study participation was voluntary following informed consent processes conducted in
Indonesian language. Confidentiality was ensured through de-identification, secure data
storage, and restricted research access. Any identified safeguarding concerns followed
institutional protocols with researcher obligation to report to appropriate authorities.
3. Result and Discussion
Theme 1: Transformative Access and Opportunity Restructuring
Device provision fundamentally restructured students' technology access relationships,
transitioning from no-access conditions to routine access. Pre-intervention student interviews revealed
that 84% of participants had never owned personal devices; 73% had no home internet access; and 58%
had never used computers prior to program initiation. Device distribution catalyzed immediate access
expansion. By midpoint assessment (Month 7), 89% of participants reported regularly using provided
tablets, with average reported daily usage of 1.8 hours (SD=0.9).
Yet access patterns reflected existing structural inequalities. Students from wealthier
families within the marginalized population maintained more consistent device access at school
because they had resources for repairs, could replace broken batteries, and faced fewer competing
household needs requiring device sale.
Table 1: Student Technology Access and Usage Patterns at Baseline, Midpoint, and Endpoint
Access Indicator
Baseline
(n=45)
Midpoint
(n=45)
Change
Students with personal device
access at home
2 (4%)
28 (62%)*
+70 pp
Home internet access
3 (7%)
18 (40%)
+48 pp
Average daily device usage (hours)
0
1.8 (SD=0.9)
-
Students completing assignments
using devices
0
35 (78%)
+95 pp
Students accessing educational
content outside school
1 (2%)
26 (58%)
+81 pp
Reported frequency of device
breakage/non-functionality
-
12 episodes
-33%
Note: Midpoint n=45; Endpoint n=42 (3 students departed due to family relocation). pp = percentage
points. This table demonstrates substantial access expansion during initial implementation with
consolidation during later implementation, suggesting access stabilization occurs by Month 7-8.
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Theme 2: Pedagogical Integration Challenges and Variable Implementation Quality
While access expansion proceeded relatively smoothly, translating device availability into
meaningful pedagogical integration encountered substantial, multifaceted barriers. Classroom
observations documented substantial variability in integration patterns. Some classrooms demonstrated
consistent technology use in lessons 3-4 times weekly with devices employed for authentic learning
activities; conversely, other classrooms showed sporadic technology use, limited to occasional
demonstration purposes and peripheral to core instruction.
Key implementation barriers included: (1) Technical infrastructure limitations: Internet
intermittently functioned or failed entirely during 21% of observed lessons; (2) Insufficient teacher
readiness: Teachers requested clarification on 47 technical support instances during the first three
months; (3) Curriculum misalignment: Existing curriculum templates offered limited guidance for
technology integration; (4) Time pressure: Teachers reported insufficient planning time; and (5) Limited
content availability: Preloaded educational content didn't comprehensively cover curriculum scope.
Despite these barriers, an encouraging pattern emerged: barriers diminished substantially
between midpoint and endpoint assessments. Technical support requests declined 71% by Month 12.
Teachers reported greater comfort troubleshooting problems (69% resolved technical issues
independently by endpoint compared to 14% at midpoint).
Theme 3: Digital Literacy Skill Development and Competency Progression
Systematic assessment of student digital literacy skills demonstrated clear developmental
trajectories, though with substantial individual variation. Students' digital competence levels were
assessed using the DigComp framework. Analysis of skill development patterns revealed progression
across all competence domains.
Table 2: Student Digital Literacy Competency Development Across Intervention Implementation
(n=42 with complete longitudinal data)
Competency
Domain
Baseline Mean
Midpoint Mean
Endpoint Mean
Overall
Gain
Basics and Access
1.2 (SD=0.4)
3.4 (SD=0.8)
4.1 (SD=0.7)
+2.9
Information &
Data Literacy
1.1 (SD=0.3)
2.8 (SD=0.9)
3.6 (SD=0.8)
+2.5
Communication
& Collaboration
1.0 (SD=0.3)
2.2 (SD=0.7)
3.1 (SD=0.8)
+2.1
Digital Content
Creation
1.1 (SD=0.4)
2.4 (SD=0.9)
3.2 (SD=0.8)
+2.1
Safety & Security
1.0 (SD=0.3)
1.9 (SD=0.6)
2.7 (SD=0.7)
+1.7
Problem-Solving
& Learning
1.0 (SD=0.2)
1.8 (SD=0.6)
2.4 (SD=0.8)
+1.4
OVERALL
AVERAGE
1.05 (SD=0.3)
2.42 (SD=0.8)
3.18 (SD=0.7)
+2.13
Note: Proficiency levels range 1 (foundation) to 8 (specialized expertise). Baseline-Midpoint interval
showed most rapid growth (+1.37 levels average), while Midpoint-Endpoint showed consolidation
(+0.76 levels), suggesting fundamental skill development concentrated during initial months.
Skill development exhibited domain-specific trajectories. Operational competencies developed
most rapidly, with students progressing from frustrated inability to confident, independent use within
first months. Conversely, safety and problem-solving competencies developed more slowly.
Individual variation in skill development trajectories proved substantial. A subset of particularly
tech-engaged students (approximately 22%) developed skills approaching Intermediate Level 4 by
endpoint across most domains, frequently serving as peer mentors. Conversely, a smaller subset
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(approximately 17%) progressed more slowly, achieving Foundation Level 2-3 competencies by
endpoint despite equivalent instructional opportunity.
Theme 4: Student Engagement and Motivation Shifts
Student engagement demonstrated notable shifts across implementation. Behavioral
engagement (on-task activity, classroom participation) showed dramatic change. Observations at
baseline documented that 47% of students exhibited off-task behavior during typical lessons; by
endpoint, this figure declined to 19%, with technology-integrated lessons showing particular
engagement elevation (on-task behavior during technology-integrated lessons averaged 82% at endpoint
compared to 63% for traditional teacher-lecture lessons).
Qualitative interview data revealed that devices catalyzed emotional engagementstudents'
sense of classroom relevance and belonging. Teachers corroborated observational evidence of
engagement increases. Endpoint interviews across 16 of 18 teachers included statements such as:
"Students who usually don't pay attention are now engaged. When I use technology, even the struggling
students pay attention."
Engagement gains coexisted with emerging technical anxiety among some students.
Approximately 24% of students expressed frustration when devices malfunctioned, became upset when
unable to immediately solve technical problems, and occasionally avoided device-based activities.
Table 3: Student Engagement Patterns Across Implementation Phases
Engagement Indicator
Baseline
Midpoint
Endpoint
Direction
Behavioral Engagement (on-task)
53%
69%
81%
Students reporting
motivation/interest in learning
38%
64%
76%
Classroom participation instances
(per 45-min lesson)
8.2
14.3
16.7
Students completing all homework
assignments
42%
71%
88%
Reported enjoyment of school
31%
61%
74%
Students requesting additional
learning resources
2%
19%
37%
Technology-related anxiety
N/A
12%
24%
(negative)
Note: On-task behavior reflects average classroom observations. Homework completion based on
teacher records. Psychological indicators from structured interview questions
Theme 5: Differential Outcomes and Educational Inequality Complexities
Academic achievement data showed modest but meaningful improvement patterns. Teacher
assessments indicated overall average gains of 28% from baseline to endpoint (baseline average 58.3,
endpoint average 74.6). However, this aggregate statistic obscures critical inequality patterns.
Disaggregated analysis revealed:
Students in top quartile of baseline achievement improved average 12 points (+16% relative
gain)
Students in bottom quartile improved average 23 points (+61% relative gain)
Girls improved average 19.5 points while boys improved 15.2 points
Students with prior technology exposure demonstrated steeper learning curves
These differential gains suggest technology interventions may partially ameliorate achievement
disparities by providing previously excluded students access to learning resources and engagement
opportunities. However, analysis also reveals patterns through which technology could reinforce
advantages. High-achieving students with family support more readily converted device access into
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supplementary learning resources. Lower-achieving students without such guidance frequently used
devices for entertainment.
Theme 6: Program Sustainability Challenges and Teacher Burden
Long-term sustainability emerged as critical concern. Teachers expressed significant
uncertainty regarding program continuation: "The tablet training was good, the devices helped, but what
happens next? When the researchers leave, who will fix broken devices?"
Technical sustainability challenges included device maintenance and repair. Of 45 tablets
distributed at program initiation, by Month 18: 3 devices were non-functional; 7 required significant
repairs; and 12 experienced temporary functional disruptions. Schools expressed anxiety regarding
device replacement or repair funding.
Professional development sustainability similarly posed challenges. Teachers valued ongoing
supportmonthly coaching sessions received positive feedback. Endpoint interviews included
comments such as: "I still learn something new every month. If coaching stopped, we would feel lost."
4. Conclusion
This longitudinal qualitative study examined the multifaceted processes through which
coordinated device provision and digital literacy training reshape learning opportunities, skill
development, and engagement among marginalized students in rural Indonesia. Over 18
months of implementation, the intervention generated meaningful changes: access to digital
devices and information resources expanded dramatically; students developed substantial
digital competencies progressing an average 2.13 proficiency levels; behavioral and emotional
engagement increased markedly; and academic performance improved overall with larger
relative gains for previously lower-achieving students. However, these positive patterns coexist
with important qualifications. Device provision alone proved insufficient; pedagogical
integration required substantial teacher professional development and ongoing support, with
implementation quality varying substantially across classrooms. Engagement improvements
accompanied emerging technical anxiety among some students. Most significantly, aggregate
improvements masked persistent inequality patterns. These differential outcome patterns
demonstrate that technology interventions' equity implications depend critically on institutional
implementation quality, family support conditions, and teacher pedagogical innovation. For
Indonesian policymakers implementing large-scale technology initiatives, these findings
suggest that sustained commitment to teacher professional development, curriculum adaptation,
and institutional support infrastructure determines whether technology becomes a tool for
educational equity or merely an expensive addition to inequitable systems. Investments in
devices absent complementary investments in literacy development, pedagogical capacity, and
institutional sustainability risk reproducing rather than reducing educational inequalities.
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