Home / Current Issue / Paper 1713776
An E-Learning Framework for Improving Digital Literacy and Responsible Technology Use in Primary and Secondary Schools
Subject area: Arts, Social Sciences and Humanities · Area of research: Digital Literacy Education
DOI: https://doi.org/10.64388/IREV4I3-1713776
Abstract
The rapid integration of digital technologies into primary and secondary education systems has fundamentally transformed teaching, learning, and student interaction with information. While e-learning platforms and digital tools offer significant opportunities for enhancing access, engagement, and learning outcomes, they have also exposed persistent gaps in digital literacy and raised concerns regarding responsible technology use among school-age learners. These challenges are particularly pronounced in basic education, where students are still developing cognitive, ethical, and social competencies necessary for navigating digital environments safely and effectively. This paper presents a comprehensive e-learning framework aimed at improving digital literacy and promoting responsible technology use in primary and secondary schools. Drawing on literature in educational technology, digital citizenship, media literacy, and ICT integration, the framework integrates pedagogical, technological, institutional, and socio-ethical dimensions of e-learning implementation. The study synthesises existing models and empirical findings to identify key determinants of effective digital literacy development, including curriculum design, teacher preparedness, learner engagement, parental involvement, and policy support. By consolidating these elements into a unified framework, the paper provides guidance for educators, school administrators, and policymakers seeking to leverage e-learning not only as a delivery mechanism for content, but as a structured means of cultivating responsible, critical, and ethical technology use among learners. The framework contributes to ongoing discourse on sustainable and inclusive digital education and offers a foundation for future empirical validation and contextual adaptation.
Keywords
E-Learning Framework; Digital Literacy; Responsible Technology Use; Digital Citizenship; Primary Education; Secondary Education
References
[1] Achieng, M., & Ruhode, E. (2019). A critical analysis of the implementation of health information systems for public healthcare service delivery in resource-constrained environments: A south african study. IFIP Advances in Information and Communication Technology, 551, 568–578. https://doi.org/10.1007/978-3-030-18400-1_47
[2] Adams, R., Kewell, B., & Parry, G. (2018). Blockchain for Good? Digital Ledger Technology and Sustainable Development Goals. World Sustainability Series, 127–140. https://doi.org/10.1007/978-3-319-67122-2_7
[3] Agarwal, R., Gao, G. G., DesRoches, C., & Jha, A. K. (2010). The digital transformation of healthcare: Current status and the road ahead. Information Systems Research, 21(4), 796–809. https://doi.org/10.1287/ISRE.1100.0327
[4] Agbaje, G. I., Bello, I. E., & Ojo, A. G. (2018). Empirical assessment of the role of geospatial technology in delivering governance and strengthening democracy in Nigeria. GeoJournal, 83(4), 743–756. https://doi.org/10.1007/S10708-017-9797-4
[5] Alami, H., Gagnon, M. P., Ag Ahmed, M. A., & Fortin, J. P. (2019). Digital health: Cybersecurity is a value creation lever, not only a source of expenditure. Health Policy and Technology, 8(4), 319–321. https://doi.org/10.1016/J.HLPT.2019.09.002
[6] Aljuneidi, T., & Bulgak, A. A. (2016). A mathematical model for designing reconfigurable cellular hybrid manufacturing-remanufacturing systems. International Journal of Advanced Manufacturing Technology, 87(5–8), 1585–1596. https://doi.org/10.1007/S00170-016-9141-Z
[7] Altonji, J. G., Elder, T. E., & Taber, C. R. (2005). Selection on observed and unobserved variables: Assessing the effectiveness of Catholic schools. Journal of Political Economy, 113(1), 151–184. https://doi.org/10.1086/426036
[8] Alvez, C., Miranda, E., Etchart, G., & Ruiz, S. (2018). Efficient Iris Recognition Management in Object-Related Databases. Journal of Computer Science and Technology, 18(02), e12. https://doi.org/10.24215/16666038.18.E12
[9] Anderson, E. T., & Simester, D. (2013). Advertising in a competitive market: The role of product standards, customer learning,and switching costs. Journal of Marketing Research, 50(4), 489–504. https://doi.org/10.1509/JMR.11.0538
[10] Aral, S., Brynjolfsson, E., & Van Alstyne, M. (2012). Information, technology and information worker productivity task level evidence. Inf. Syst. Res., 23(3, part 2), 849–867. https://doi.org/10.1287/isre.1110.0408
[11] Ashraf, S., Moore, C., Gupta, V., Chowdhury, A., Azad, A. K., Singh, N., Hagan, D., & Labrique, A. B. (2015). Overview of a multi-stakeholder dialogue around shared services for health: The Digital Health opportunity in Bangladesh. Health Research Policy and Systems, 13(1). https://doi.org/10.1186/S12961-015-0063-2
[12] Aydin, R., Kwong, C. K., Geda, M. W., & Okudan Kremer, G. E. (2018). Determining the optimal quantity and quality levels of used product returns for remanufacturing under multi-period and uncertain quality of returns. International Journal of Advanced Manufacturing Technology, 94(9–12), 4401–4414. https://doi.org/10.1007/S00170-017-1141-0
[13] Baccarelli, E., Cordeschi, N., Mei, A., Panella, M., Shojafar, M., & Stefa, J. (2016). Energy-efficient dynamic traffic offloading and reconfiguration of networked data centers for big data stream mobile computing: Review, challenges, and a case study. IEEE Network.
[14] Bae, J. K., & Kim, J. (2011). Product development with data mining techniques: A case on design of digital camera. Expert Systems with Applications, 38(8), 9274–9280. https://doi.org/10.1016/j.eswa.2011.01.030
[15] Baležentis, T., & Štreimikiene, D. (2019). Sustainability in the Electricity Sector through Advanced Technologies: Energy Mix Transition and Smart Grid Technology in China. Energies 2019, Vol. 12, Page 1142, 12(6), 1142. https://doi.org/10.3390/EN12061142
[16] Ball, M. J., & Lillis, J. (2001). E-health: Transforming the physician/patient relationship. International Journal of Medical Informatics, 61(1), 1–10. https://doi.org/10.1016/S1386-5056(00)00130-1
[17] Barrington, J., Wereko-Brobby, O., Ward, P., Mwafongo, W., & Kungulwe, S. (2010). SMS for Life: A pilot project to improve anti-malarial drug supply management in rural Tanzania using standard technology. Malaria Journal, 9(1). https://doi.org/10.1186/1475-2875-9-298
[18] Behlen, F. M., Sayre, R. E., Weldy, J. B., & Michael, J. S. (2000). `Permanent’ records: Experience with data migration in radiology information system and picture archiving and communication system replacement. Journal of Digital Imaging, 13(2 SUPPL. 1), 171–174. https://doi.org/10.1007/BF03167653
[19] Bernal, P. (2010). Collaborative consent: Harnessing the strengths of the Internet for consent in the online environment. International Review of Law, Computers and Technology, 24(3), 287–297. https://doi.org/10.1080/13600869.2010.522335
[20] Bernasconi, A., Crabbé, F., Raab, M., & Rossi, R. (2018). Can the use of digital algorithms improve quality care? An example from Afghanistan. PLoS One., 13(11), e0207233. https://doi.org/10.1371/journal.pone.0207233
[21] Boh, W. F., & Yellin, D. (2006). Using enterprise architecture standards in managing information technology. Journal of Management Information Systems, 23(3), 163–207. https://doi.org/10.2753/MIS0742-1222230307
[22] Brodie, M., Flournoy, R. E., Altman, D. E., Blendon, R. J., Benson, J. M., & Rosenbaum, M. D. (2000). Health information, the internet, and the digital divide. Health Affairs, 19(6), 255–265. https://doi.org/10.1377/HLTHAFF.19.6.255
[23] Buntin, M. B., Burke, M. F., Hoaglin, M. C., & Blumenthal, D. (2011). The benefits of health information technology: a review of the recent literature shows predominantly positive results. Health Aff, 30(3), 464–471. https://doi.org/10.1377/hlthaff.2011.0178
[24] Byun, J., Sung, T. E., & Park, H. W. (2018). Technological innovation strategy: how do technology life cycles change by technological area. Technology Analysis and Strategic Management, 30(1), 98–112. https://doi.org/10.1080/09537325.2017.1297397
[25] Cavalcante, I. M., Frazzon, E. M., Forcellini, F. A., & Ivanov, D. (2019). A supervised machine learning approach to data-driven simulation of resilient supplier selection in digital manufacturing. International Journal of Information Management, 49, 86–97. https://doi.org/10.1016/J.IJINFOMGT.2019.03.004
[26] Chang, S. E., Chen, Y. C., & Lu, M. F. (2019). Supply chain re-engineering using blockchain technology: A case of smart contract based tracking process. Technological Forecasting and Social Change, 144, 1–11. https://doi.org/10.1016/J.TECHFORE.2019.03.015
[27] Chanias, S., Myers, M. D., & Hess, T. (2019). Digital transformation strategy making in pre-digital organizations: The case of a financial services provider. Journal of Strategic Information Systems, 28(1), 17–33. https://doi.org/10.1016/J.JSIS.2018.11.003
[28] Chaudhry, B., Wang, J., Wu, S., Maglione, M., Mojica, W., & Roth, E. (2006). Systematic Review: Impact of Health Information Technology on Quality, Efficiency, and Costs of Medical Care. Ann Intern Med, 144(10).
[29] Chaudhry, B., Wang, J., Wu, S., Maglione, M., Mojica, W., Roth, E., Morton, S. C., & Shekelle, P. G. (2006). Systematic review: Impact of health information technology on quality, efficiency, and costs of medical care. Annals of Internal Medicine, 144(10), 742–752. https://doi.org/10.7326/0003-4819-144-10-200605160-00125
[30] Chaudhuri, S., Dayal, U., & Narasayya, V. (2011). An overview of business intelligence technology. Communications of the ACM, 54(8), 88–98. https://doi.org/10.1145/1978542.1978562
[31] Chesbrough, H., & Rosenbloom, R. S. (2002). The role of the business model in capturing value from innovation: Evidence from Xerox Corporation’s technology spin-off companies. Industrial and Corporate Change, 11(3), 529–555. https://doi.org/10.1093/ICC/11.3.529
[32] Chibale, K., Davies-Coleman, M., & Masimirembwa, C. (2012). Drug discovery in Africa: Impacts of genomics, natural products, traditional medicines, insights into medicinal chemistry, and technology platforms in pursuit of new drugs. Drug Discovery in Africa: Impacts of Genomics, Natural Products, Traditional Medicines, Insights into Medicinal Chemistry, and Technology Platforms in Pursuit of New Drugs, 9783642281754, 1–438. https://doi.org/10.1007/978-3-642-28175-4
[33] Clemons, E. K., & Madhani, N. (2010). Regulation of digital businesses with natural monopolies or third-party payment business models: Antitrust lessons from the analysis of google. Journal of Management Information Systems, 27(3), 43–80. https://doi.org/10.2753/mis0742-1222270303
[34] Coleman, A., Herselman, M. E., & Potass, D. (2012). E-health readiness assessment for e-health framework for Africa: A case study of hospitals in South Africa. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, 91 LNICST, 162–169. https://doi.org/10.1007/978-3-642-29262-0_24
[35] Cozmiuc, D., & Petrisor, I. (2018). Industrie 4.0 by siemens: Steps made today. Journal of Cases on Information Technology, 20(2), 30–48. https://doi.org/10.4018/JCIT.2018040103
[36] Criscuolo, P., Narula, R., & Verspagen, B. (2005). Role of home and host country innovation systems in r&d internationalisation: A patent citation analysis. Economics of Innovation and New Technology, 14(5), 417–433. https://doi.org/10.1080/1043859042000315285
[37] Defraeye, T., Tagliavini, G., Wu, W., Prawiranto, K., Schudel, S., Assefa Kerisima, M., Verboven, P., & Bühlmann, A. (2019). Digital twins probe into food cooling and biochemical quality changes for reducing losses in refrigerated supply chains. Resources, Conservation and Recycling, 149, 778–794. https://doi.org/10.1016/J.RESCONREC.2019.06.002
[38] Dhillon, V. (2018). Designing Decentralized Ledger Technology for Electronic Health Records. Telehealth and Medicine Today, 1(2). https://doi.org/10.30953/TMT.V1.77
[39] E-Health. (2009). Encyclopedia of Health Services Research. https://doi.org/10.4135/9781412971942.N121
[40] El Mokadem, M. (2016). ISO 9000 moderation role over supply chain alignment in manufacturing context. Journal of Manufacturing Technology Management, 27(3), 338–363. https://doi.org/10.1108/JMTM-03-2015-0015
[41] Fan, M., Huang, J., Zhuo, A., Li, Y., Li, P., & Wang, H. (2019). Monopoly: Learning to price public facilities for revaluing private properties with large-scale urban data. International Conference on Information and Knowledge Management, Proceedings, 2655–2663. https://doi.org/10.1145/3357384.3357810
[42] Geradts, Z. (2019). Digital and multimedia sciences. The Future of Forensic Science, 31–47. https://doi.org/10.1002/9781119226703.CH3
[43] Ghobakhloo, M. (2018). The future of manufacturing industry: a strategic roadmap toward Industry 4.0. Journal of Manufacturing Technology Management, 29(6), 910–936. https://doi.org/10.1108/JMTM-02-2018-0057
[44] Gomez-Trujillo, A. M., Velez-Ocampo, J., & Gonzalez-Perez, M. A. (2020). Trust, Transparency, and Technology: Blockchain and Its Relevance in the Context of the 2030 Agenda. The Palgrave Handbook of Corporate Sustainability in the Digital Era, 561–580. https://doi.org/10.1007/978-3-030-42412-1_28
[45] Gruner, D., Pottie, K., Archibald, D., Allison, J., Sabourin, V., Belcaid, I., McCarthy, A., Brindamour, M., Augustincic Polec, L., & Duke, P. (2015). Introducing global health into the undergraduate medical school curriculum using an e-learning program: A mixed method pilot study Approaches to teaching and learning. BMC Medical Education, 15(1). https://doi.org/10.1186/S12909-015-0421-3
[46] Haddud, A., DeSouza, A., Khare, A., & Lee, H. (2017). Examining potential benefits and challenges associated with the Internet of Things integration in supply chains. Journal of Manufacturing Technology Management, 28(8), 1055–1085. https://doi.org/10.1108/JMTM-05-2017-0094
[47] Han, K., Chang, Y., & Hahn, J. (2011). Information technology spillover and productivity: The role of information technology intensity and competition. J. Manag. Inf. Syst., 28(1), 115–145. https://doi.org/10.2753/mis0742-1222280105
[48] Hargaden, V., Papakostas, N., Newell, A., Khavia, A., & Scanlon, A. (2019). The Role of Blockchain Technologies in Construction Engineering Project Management. Proceedings - 2019 IEEE International Conference on Engineering, Technology and Innovation, ICE/ITMC 2019. https://doi.org/10.1109/ICE.2019.8792582
[49] Hoffman, C., & Mora Rodríguez, M. (2013). Digitizing Financial Reports – Issues and Insights: A Viewpoint. The International Journal of Digital Accounting Research, 13. https://doi.org/10.4192/1577-817/1577-8517-V13_3
[50] Holeman, I., Cookson, T. P., & Pagliari, C. (2016). Digital technology for health sector governance in low and middle income countries: A scoping review. Journal of Global Health, 6(2). https://doi.org/10.7189/JOGH.06.020408
[51] Hoofnagle, C. J., Sloot, B. van der, & Borgesius, F. Z. (2019). The European Union general data protection regulation: What it is and what it means. Information and Communications Technology Law, 28(1), 65–98. https://doi.org/10.1080/13600834.2019.1573501
[52] Huang, F., Blaschke, S., & Lucas, H. (2017). Beyond pilotitis: Taking digital health interventions to the national level in China and Uganda. Globalization and Health, 13(1). https://doi.org/10.1186/S12992-017-0275-Z
[53] Ivanov, D., Dolgui, A., & Sokolov, B. (2019). The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics. International Journal of Production Research, 57(3), 829–846. https://doi.org/10.1080/00207543.2018.1488086
[54] Kannan, P. K., Reinartz, W., & Verhoef, P. C. (2016). The path to purchase and attribution modeling: Introduction to special section. International Journal of Research in Marketing, 33(3), 449–456. https://doi.org/10.1016/J.IJRESMAR.2016.07.001
[55] Keramati, A., Afshari-Mofrad, M., & Kamrani, A. (2011). The role of readiness factors in E-learning outcomes: An empirical study. Computers and Education, 57(3), 1919–1929. https://doi.org/10.1016/j.compedu.2011.04.005
[56] Khan, O. A., Guerrant, R., Sanders, J., Carpenter, C., Spottswood, M., Jones, D. S., O’Callahan, C., Brewer, T. F., Markuns, J. F., Gillam, S., O’Neill, J., Nathanson, N., & Wright, S. (2013). Global health education in U.S. medical schools. BMC Med Educ, 13(1), 3. https://doi.org/10.1186/1472-6920-13-3
[57] Khoja, S., Scott, R., Casebeer, A., Mohsin, M., Ishaq, A., & Gilani, S. (2007). e-Health readiness assessment tools for healthcare institutions in developing countries. Telemed E-Health, 13(4).
[58] Konduri, N., Aboagye-Nyame, F., Mabirizi, D., Hoppenworth, K., Kibria, M. G., Doumbia, S., Williams, L., & Mazibuko, G. (2018). Digital health technologies to support access to medicines and pharmaceutical services in the achievement of sustainable development goals. DIGITAL HEALTH, 4. https://doi.org/10.1177/2055207618771407’
[59] Koperski, L. (2017). Why the Renewable Energy Credit Market Needs Standardization. Washington Journal of Law, Technology & Arts, 13. https://heinonline.org/HOL/Page?handle=hein.journals/washjolta13&id=73&div=7&collection=journals
[60] Legner, C., Eymann, T., Hess, T., Matt, C., Böhmann, T., Drews, P., Mädche, A., Urbach, N., & Ahlemann, F. (2017). Digitalization: Opportunity and challenge for the business and information systems engineering community. Business & Information Systems Engineering, 59(4), 301–308. https://doi.org/10.1007/s12599-017-0484-2
[61] Lieder, M., Asif, F. M. A., Rashid, A., Mihelič, A., & Kotnik, S. (2017). Towards circular economy implementation in manufacturing systems using a multi-method simulation approach to link design and business strategy. International Journal of Advanced Manufacturing Technology, 93(5–8), 1953–1970. https://doi.org/10.1007/S00170-017-0610-9
[62] Liu, S. C., Lu, M. C., & Chung, C. H. (2016). A hybrid heuristic method for the periodic inventory routing problem. International Journal of Advanced Manufacturing Technology, 85(9–12), 2345–2352. https://doi.org/10.1007/S00170-015-8081-3
[63] Lokuge, S., Sedera, D., Grover, V., & Dongming, X. (2019). Organizational readiness for digital innovation: Development and empirical calibration of a construct. Information and Management, 56(3), 445–461. https://doi.org/10.1016/J.IM.2018.09.001
[64] Luz, S., Shadmi, E., Admi, H., Peterfreund, I., & Drach-Zahavy, A. (2019). Characteristics and behaviours of formal versus informal nurse champions and their relationship to innovation success. J Adv Nurs, 75(1).
[65] Magrabi, F., Liaw, S. T., Arachi, D., Runciman, W., Coiera, E., & Kidd, M. R. (2016). Identifying patient safety problems associated with information technology in general practice: An analysis of incident reports. BMJ Quality and Safety, 25(11), 870–880. https://doi.org/10.1136/BMJQS-2015-004323
[66] Majchrzak, A., Markus, M. L., & Wareham, J. (2016). Designing for Digital Transformation: Lessons for Information Systems Research from the Study of ICT and Societal Challenges. MIS Quarterly, 40(2), 267–277. https://doi.org/10.25300/MISQ/2016/40:2.03
[67] Mandolla, C., Petruzzelli, A. M., Percoco, G., & Urbinati, A. (2019). Building a digital twin for additive manufacturing through the exploitation of blockchain: A case analysis of the aircraft industry. Computers in Industry, 109, 134–152. https://doi.org/10.1016/J.COMPIND.2019.04.011
[68] Margolis, C. Z., Deckelbaum, R. J., Henkin, Y., Baram, S., Cooper, P., & Alkan, M. L. (2004). A medical school for international health run by international partners. Acad Med, 79(8), 744–751. https://doi.org/10.1097/00001888-200408000-00005
[69] McKinley, D. W., Williams, S. R., Norcini, J. J., & Anderson, M. B. (2008). International exchange programs and U.S. medical schools. Acad Med, 83(10 Suppl), S53-57. https://doi.org/10.1097/acm.0b013e318183e351
[70] Melville, N., Kraemer, K., & Gurbaxani, V. (2004). Information technology and organizational performance: An integrative model of IT business value. MIS Q., 28(2), 283–321. https://doi.org/10.2307/25148636
[71] Meudt, T., Metternich, J., & Abele, E. (2017). Value stream mapping 4.0: Holistic examination of value stream and information logistics in production. CIRP Annals - Manufacturing Technology, 66(1), 413–416. https://doi.org/10.1016/J.CIRP.2017.04.005
[72] Mitchell, M., Getchell, M., Nkaka, M., Msellemu, D., Van Esch, J., & Hedt-Gauthier, B. (2012). Perceived improvement in integrated management of childhood illness implementation through use of mobile technology: Qualitative evidence from a pilot study in Tanzania. Journal of Health Communication, 17(SUPPL. 1), 118–127. https://doi.org/10.1080/10810730.2011.649105
[73] Mitchell, M., Hedt-Gauthier, B. L., Msellemu, D., Nkaka, M., & Lesh, N. (2013). Using electronic technology to improve clinical care – results from a before-after cluster trial to evaluate assessment and classification of sick children according to Integrated Management of Childhood Illness (IMCI) protocol in Tanzania. BMC Med Inform Decis Mak., 13(1), 95. https://doi.org/10.1186/1472-6947-13-95
[74] Mubarak, M. F., Shaikh, F. A., Mubarik, M., Samo, K. A., & Mastoi, S. (2019). The Impact of Digital Transformation on Business Performance A Study of Pakistani SMEs. Engineering, Technology and Applied Science Research, 9(6), 5056–5061. https://doi.org/10.48084/ETASR.3201
[75] Nikkel, B. J. (2014). Fostering incident response and digital forensics research. Digital Investigation, 11(4), 249–251. https://doi.org/10.1016/J.DIIN.2014.09.004
[76] Oliver, S., Clarke-Jones, L., Rees, R., Milne, R., Buchanan, P., Gabbay, J., Gyte, G., Oakley, A., & Stein, K. (2004). Involving consumers in research and development agenda setting for the NHS: Developing an evidence-based approach. Health Technology Assessment, 8(15). https://doi.org/10.3310/HTA8150
[77] Ortega-Morán, J. F., Pagador, J. B., Sánchez-Peralta, L. F., Sánchez-González, P., Noguera, J., Burgos, D., Gómez, E. J., & Sánchez-Margallo, F. M. (2017). Validation of the three web quality dimensions of a minimally invasive surgery e-learning platform. International Journal of Medical Informatics, 107, 1–10. https://doi.org/10.1016/j.ijmedinf.2017.07.001
[78] Oztaysi, B., Cevik Onar, S., Kahraman, C., & Yavuz, M. (2017). Multi-criteria alternative-fuel technology selection using interval-valued intuitionistic fuzzy sets. Transportation Research Part D: Transport and Environment, 53, 128–148. https://doi.org/10.1016/j.trd.2017.04.003
[79] Papazoglou, M. P., & Andreou, A. S. (2019). Smart connected digital factories: Unleashing the power of industry 4.0. Communications in Computer and Information Science, 1073, 77–101. https://doi.org/10.1007/978-3-030-29193-8_5/FIGURES/4
[80] Ray, J. M., Ratwani, R. M., Sinsky, C. A., Frankel, R. M., Friedberg, M. W., Powsner, S. M., Rosenthal, D. I., Wachter, R. M., & Melnick, E. R. (2019). Six habits of highly successful health information technology: Powerful strategies for design and implementation. Journal of the American Medical Informatics Association, 26(10), 1109–1114. https://doi.org/10.1093/JAMIA/OCZ098
[81] Rowley, J. (2008). Understanding digital content marketing. Journal of Marketing Management, 24(5–6), 517–540. https://doi.org/10.1362/026725708X325977
[82] Sajid, M., & Ahsan, K. (2016a). Role of enterprise architecture in healthcare organizations and knowledge-based medical diagnosis system. J. of Inform. Syst. and Technology Management, 13(2), 181–192. https://doi.org/10.4301/s1807-17752016000200002
[83] Sajid, M., & Ahsan, K. (2016b). ROLE OF ENTERPRISE ARCHITECTURE IN HEALTHCARE ORGANIZATIONS AND KNOWLEDGE-BASED MEDICAL DIAGNOSIS SYSTEM. Journal of Information Systems and Technology Management, 13(2), 181–192. https://doi.org/10.4301/S1807-17752016000200002;
[84] Samek, W., Binder, A., Montavon, G., Lapuschkin, S., & Müller, K. R. (2017). Evaluating the visualization of what a deep neural network has learned. IEEE Transactions on Neural Networks and Learning Systems, 28(11), 2660–2673. https://doi.org/10.1109/TNNLS.2016.2599820
[85] Schmitz, J., & Leoni, G. (2019). Accounting and Auditing at the Time of Blockchain Technology: A Research Agenda. Australian Accounting Review, 29(2), 331–342. https://doi.org/10.1111/AUAR.12286
[86] Scott, S. V., Van Reenen, J., & Zachariadis, M. (2017). The long-term effect of digital innovation on bank performance: An empirical study of SWIFT adoption in financial services. Research Policy, 46(5), 984–1004. https://doi.org/10.1016/J.RESPOL.2017.03.010
[87] Seigfried-Spellar, K. C. (2014). Distinguishing the viewers, downloaders, and exchangers of Internet child pornography by individual differences: Preliminary findings. Digital Investigation, 11(4), 252–260. https://doi.org/10.1016/j.diin.2014.07.003
[88] Sequist, T. D. (2011). Health information technology and disparities in quality of care. Journal of General Internal Medicine, 26(10), 1084–1085. https://doi.org/10.1007/S11606-011-1812-8
[89] Sharma, S., & Agrawal, N. (2012). Application of fuzzy techniques in a multistage manufacturing system. International Journal of Advanced Manufacturing Technology, 60(1–4), 397–407. https://doi.org/10.1007/S00170-011-3607-9
[90] Tao, M., Zhenpeng, L., & Jiaxin, Z. (2019). Photovoltaic panel integrated with phase change materials (PV-PCM): technology overview and materials selection. Renewable and Sustainable Energy Reviews, 116, 109406. https://doi.org/10.1016/J.RSER.2019.109406
[91] Thoben, K. D., Wiesner, S. A., & Wuest, T. (2017). “Industrie 4.0” and smart manufacturing-a review of research issues and application examples. International Journal of Automation Technology, 11(1), 4–16. https://doi.org/10.20965/IJAT.2017.P0004
[92] Urquhart, L., & Rodden, T. (2017). New directions in information technology law: learning from human–computer interaction. International Review of Law, Computers and Technology, 31(2), 150–169. https://doi.org/10.1080/13600869.2017.1298501
[93] Vial, G. (2019). Understanding digital transformation: A review and a research agenda. Journal of Strategic Information Systems, 28(2), 118–144. https://doi.org/10.1016/J.JSIS.2019.01.003
[94] Warner, K. S. R., & Wäger, M. (2019). Building dynamic capabilities for digital transformation: An ongoing process of strategic renewal. Long Range Planning, 52(3), 326–349. https://doi.org/10.1016/J.LRP.2018.12.001
[95] Wenzelburger, M., Silber, M., & Gadow, R. (2010). Manufacturing of light metal matrix composites by combined thermal spray and semisolid forming processes - Summary of the current state of technology. Key Engineering Materials, 425, 217–244. https://doi.org/10.4028/WWW.SCIENTIFIC.NET/AMM.5-6
[96] Were, M. C., Sinha, C., & Catalani, C. (2019). A systematic approach to equity assessment for digital health interventions: Case example of mobile personal health records. Journal of the American Medical Informatics Association, 26(8–9), 884–890. https://doi.org/10.1093/JAMIA/OCZ071
[97] Witschel, D., Döhla, A., Kaiser, M., Voigt, K. I., & Pfletschinger, T. (2019). Riding on the wave of digitization: insights how and under what settings dynamic capabilities facilitate digital-driven business model change. Journal of Business Economics, 89(8–9), 1023–1095. https://doi.org/10.1007/S11573-019-00950-5
[98] Yen, P.-Y., McAlearney, A., Sieck, C., Hefner, J., & Huerta, T. (2017). Health Information Technology (HIT) Adaptation: Refocusing on the Journey to Successful HIT Implementation. JMIR Med Informatics, 5(3).
[99] Yoo, Y., Henfridsson, O., & Lyytinen, K. (2010). The new organizing logic of digital innovation: An agenda for information systems research. Information Systems Research, 21(4), 724–735. https://doi.org/10.1287/ISRE.1100.0322
[100] Zaki, M. (2019). Digital transformation: harnessing digital technologies for the next generation of services. Journal of Services Marketing, 33(4), 429–435. https://doi.org/10.1108/JSM-01-2019-0034/FULL/PDF
How to cite this paper
@article{1713776,
author = {Adepeju Deborah Bello, Oghenemaiga Elebe, Nafiu Ikeoluwa Hammed, Gbenga Olumide Omoegun, Dennis Edache Abutu},
title = {An E-Learning Framework for Improving Digital Literacy and Responsible Technology Use in Primary and Secondary Schools},
journal = {Iconic Research And Engineering Journals},
year = {2020},
volume = {4},
number = {3},
pages = {266-278},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1713776.pdf},
abstract = {The rapid integration of digital technologies into primary and secondary education systems has fundamentally transformed teaching, learning, and student interaction with information. While e-learning platforms and digital tools offer significant opportunities for enhancing access, engagement, and learning outcomes, they have also exposed persistent gaps in digital literacy and raised concerns regarding responsible technology use among school-age learners. These challenges are particularly pronounced in basic education, where students are still developing cognitive, ethical, and social competencies necessary for navigating digital environments safely and effectively. This paper presents a comprehensive e-learning framework aimed at improving digital literacy and promoting responsible technology use in primary and secondary schools. Drawing on literature in educational technology, digital citizenship, media literacy, and ICT integration, the framework integrates pedagogical, technological, institutional, and socio-ethical dimensions of e-learning implementation. The study synthesises existing models and empirical findings to identify key determinants of effective digital literacy development, including curriculum design, teacher preparedness, learner engagement, parental involvement, and policy support. By consolidating these elements into a unified framework, the paper provides guidance for educators, school administrators, and policymakers seeking to leverage e-learning not only as a delivery mechanism for content, but as a structured means of cultivating responsible, critical, and ethical technology use among learners. The framework contributes to ongoing discourse on sustainable and inclusive digital education and offers a foundation for future empirical validation and contextual adaptation.},
keywords = {E-Learning Framework; Digital Literacy; Responsible Technology Use; Digital Citizenship; Primary Education; Secondary Education},
month = {September},
doi = {https://doi.org/10.64388/IREV4I3-1713776}
}