ICT Inaccessibility and Reported Learning Outcomes among Secondary Learners at Kinabuksan Integrated School
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Abstract
Unequal access to information and communication technology (ICT) can constrain learning in remote communities, underscoring the need to examine barriers within specific school contexts. This study investigated ICT inaccessibility, student-reported learning outcomes, and their association at Kinabuksan Integrated School in Zambales, the Philippines. A descriptive-correlational design involved 100 learners in Grades 7–12 during the 2025–2026 school year. Data were collected using a researcher-developed questionnaire with a five-point agreement scale and analyzed through descriptive statistics, group comparisons, and Pearson correlation. Internet connectivity received the highest mean barrier rating (4.50), followed by device access (4.29) and ICT capabilities (3.80). Mean agreement ratings for items concerning academic performance, completion of requirements, and participation were 3.98, 3.98, and 3.88, respectively. Group comparisons indicated differences by family income in ICT inaccessibility (p = .021) and reported learning outcomes (p = .015). A negative correlation was reported between ICT inaccessibility and learning outcome scores (r = −.682, p < .001). However, its directional interpretation requires verification of score coding because the outcome items combine statements about learner functioning with perceptions of ICT influence. The descriptive findings identify connectivity and device availability as priorities for school support, with offline learning resources, shared device access, and guided digital skills development warranting consideration. The study contributes a school-level account of ICT access barriers and reported learning experiences that can inform locally appropriate educational support. Its findings neither establish causation nor demonstrate changes in objectively measured academic achievement.
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References
Agaton, C. B., & Cueto, L. J. (2021). Learning at home: Parents’ lived experiences on distance learning during COVID-19 pandemic in the Philippines. International Journal of Evaluation and Research in Education, 10(3), 901–911. https://doi.org/10.11591/ijere.v10i3.21136
Andrew, A., Cattan, S., Costa Dias, M., Farquharson, C., Kraftman, L., Krutikova, S., Phimister, A., & Sevilla, A. (2020). Inequalities in children’s experiences of home learning during the COVID-19 lockdown in England. Fiscal Studies, 41(3), 653–683. https://doi.org/10.1111/1475-5890.12240
Azubuike, O. B., Adegboye, O., & Quadri, H. (2021). Who gets to learn in a pandemic? Exploring the digital divide in remote learning during the COVID-19 pandemic in Nigeria. International Journal of Educational Research Open, 2, Article 100022. https://doi.org/10.1016/j.ijedro.2020.100022
Barrot, J. S., Llenares, I. I., & del Rosario, L. S. (2021). Students’ online learning challenges during the pandemic and how they cope with them: The case of the Philippines. Education and Information Technologies, 26(6), 7321–7338. https://doi.org/10.1007/s10639-021-10589-x
Beaunoyer, E., Dupéré, S., & Guitton, M. J. (2020). COVID-19 and digital inequalities: Reciprocal impacts and mitigation strategies. Computers in Human Behavior, 111, Article 106424. https://doi.org/10.1016/j.chb.2020.106424
Engzell, P., Frey, A., & Verhagen, M. D. (2021). Learning loss due to school closures during the COVID-19 pandemic. Proceedings of the National Academy of Sciences, 118(17), Article e2022376118. https://doi.org/10.1073/pnas.2022376118
Ferri, F., Grifoni, P., & Guzzo, T. (2020). Online learning and emergency remote teaching: Opportunities and challenges in emergency situations. Societies, 10(4), Article 86. https://doi.org/10.3390/soc10040086
Flake, J. K., & Fried, E. I. (2020). Measurement schmeasurement: Questionable measurement practices and how to avoid them. Advances in Methods and Practices in Psychological Science, 3(4), 456–465. https://doi.org/10.1177/2515245920952393
Gonzales, A. L., Calarco, J. M., & Lynch, T. (2020). Technology problems and student achievement gaps: A validation and extension of the technology maintenance construct. Communication Research, 47(5), 750–770. https://doi.org/10.1177/0093650218796366
Hatlevik, O. E., Throndsen, I., Loi, M., & Gudmundsdottir, G. B. (2018). Students’ ICT self-efficacy and computer and information literacy: Determinants and relationships. Computers & Education, 118, 107–119. https://doi.org/10.1016/j.compedu.2017.11.011
Lai, J., & Widmar, N. O. (2021). Revisiting the digital divide in the COVID-19 era. Applied Economic Perspectives and Policy, 43(1), 458–464. https://doi.org/10.1002/aepp.13104
Pagani, L., Argentin, G., Gui, M., & Stanca, L. (2016). The impact of digital skills on educational outcomes: Evidence from performance tests. Educational Studies, 42(2), 137–162. https://doi.org/10.1080/03055698.2016.1148588
Rasheed, R. A., Kamsin, A., & Abdullah, N. A. (2020). Challenges in the online component of blended learning: A systematic review. Computers & Education, 144, Article 103701. https://doi.org/10.1016/j.compedu.2019.103701
Rotas, E. E., & Cahapay, M. B. (2020). Difficulties in remote learning: Voices of Philippine university students in the wake of COVID-19 crisis. Asian Journal of Distance Education, 15(2), 147–158. https://doi.org/10.5281/zenodo.4299835
Scheerder, A., van Deursen, A., & van Dijk, J. (2017). 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. https://doi.org/10.1016/j.tele.2017.07.007
Scherer, R., & Siddiq, F. (2019). The relation between students’ socioeconomic status and ICT literacy: Findings from a meta-analysis. Computers & Education, 138, 13–32. https://doi.org/10.1016/j.compedu.2019.04.011
Toquero, C. M. (2020). Emergency remote education experiment amid COVID-19 pandemic. IJERI: International Journal of Educational Research and Innovation, (15), 162–176. https://doi.org/10.46661/ijeri.5113
UNESCO. (2023). Global education monitoring report 2023: Technology in education—A tool on whose terms? https://doi.org/10.54676/UZQV8501
van Deursen, A. J. A. M., & van Dijk, J. A. G. M. (2019). The first-level digital divide shifts from inequalities in physical access to inequalities in material access. New Media & Society, 21(2), 354–375. https://doi.org/10.1177/1461444818797082
van Dijk, J. A. G. M. (2006). Digital divide research, achievements and shortcomings. Poetics, 34(4–5), 221–235. https://doi.org/10.1016/j.poetic.2006.05.004


