Abstract
Learning today is a complex endeavour that has moved away from the old traditional settings to a more complex setting mediated using learning technologies. Because of the complex interactions taking place within the learning environment, a new generation of learning technologies is needed to harness and manage the digital learning ecosystem. Digital learning platforms, as a digital service delivery system, have permeated educational systems in African countries for the past decades. Some societal drivers have pushed the move towards the adoption and utilisation of learning technologies because of the potential digital learning has in resolving some of the challenges faced in the educational system. Successfully implementing digital learning ecosystems is hinged on strategically thinking through creating, adopting, and implementing new digital learning ecosystem solutions. The ecosystem, made up of different biotic and abiotic components, is geared to effectively and efficiently deliver on learning outcome expectations. Addressing the new ecosystem’s challenges will bring us closer to making the components of the ecosystem work optimally while pushing the envelope on improving and extending the functionalities and utility of digital learning platforms.
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References
Abrahams, D. A. (2010). Technology adoption in higher education: A framework for identifying and prioritising issues and barriers to adoption of instructional technology. Journal of Applied Research in Higher Education, 2(2), 34–49. https://doi.org/10.1108/17581184201000012
Bervell, B., & Umar, I. N. (2018). Blended learning or face-to-face? Does tutor anxiety prevent the adoption of Learning Management Systems for distance education in Ghana? Open Learning: The Journal of Open, Distance and e-Learning (pp. 1–19). Routledge. https://doi.org/10.1080/02680513.2018.1548964
Brown, M., Dehoney, J., & Millichap, N. (2015). The next-generation digital learning environment: A report on research. Educause Learning Initiative paper.
Curwood, J. S. (2013). TILE-SIG feature: Learning in online affinity spaces. https://bit.ly/3ovNfwG
Dawson, S., Poquet, O., Colvin, C., Rogers, T., Pardo, A., & Gasevic, D. (2018). Rethinking learning analytics adoption through complexity leadership theory. Proceedings of the 8th International Conference on Learning Analytics and Knowledge. https://doi.org/10.1145/3170358.3170375
Frielick, S. (2004). Beyond constructivism: An ecological approach to e-learning. In R. Atkinson, C. McBeath, D. Jonas-Dwyer, & R. Phillips (Eds.), Beyond the comfort zone: Proceedings of the 21st ASCILITE Conference (pp. 328–332). Perth, 5–8 December. http://www.ascilite.org.au/conferences/perth04/procs/frielick.html
Garba, N. N., Umar, S., & Zakari, Y. I. (2017). Assessment of radio-frequency radiation exposure from selected mobile base stations in Kaduna state, Nigeria. Nigerian Journal of Scientific Research, 16(2).
Gee, J. P. (2017). Affinity spaces and 21st century learning. Educational Technology, 57(2), 27–31. https://www.jstor.org/stable/44430520
Giannakos, V., & Darra, M. (2019). The contribution of computer-supported collaborative learning to the development of collaboration between students: Results of pilot implementation in Greek secondary education. International Education Studies, 12(3), 158. https://doi.org/10.5539/ies.v12n3p158
Haniya, S., Tzirides, O., Montebello, M., Georgiadou, K., Cope, B., & Kalantzis, M. (2019). Maximising learning potential with multimodality: A case study. World Journal of Educational Research, 6(2), 260–269. https://doi.org/10.22158/wjer.v6n2p260
Heinrich, K. J., & Attebury, R. I. (2012). Using Blackboard to assess course-specific asynchronous library instruction. Internet Reference Services Quarterly, 17(3–4), 167–179. https://doi.org/10.1080/10875301.2013.772930
Herman Dwi, H. D. (2014). The evaluation of a moodle based adaptive e-learning system. International Journal of Information and Education Technology, 4, 89–92. https://doi.org/10.7763/ijiet.2014.v4.375
Järvelä, S., Järvenoja, H., Malmberg, J., & Hadwin, A. F. (2013). Exploring socially shared regulation in the context of collaboration. Journal of Cognitive Education and Psychology, 12(3), 267–286. https://doi.org/10.1891/1945-8959.12.3.267
Koohang, A., & Paliszkiewicz, J. (2015). E-Learning courseware usability: Building a theoretical model. The Journal of Computer Information Systems, 56(1), 55–61.
Kress, G., & Selander, S. (2012). Multimodal design, learning and cultures of recognition. Internet and Higher Education, 15(4).
Limaj, E., & Bilali, E. (2018). Examining digital technology constraints on higher education in developing countries through the lens of the capability approach. PACIS 2018 Proceedings. 121. https://aisel.aisnet.org/pacis2018/12
Meseret, D., Gebremichael, J., & Jackson, J. (2006). Bridging the gap in Sub-saharan Africa: A holistic look at information poverty and the region’s digital divide. Government Information Quarterly, 23, 267–280. https://doi.org/10.1016/j.giq.2006.02.011
Miniawi, H. E., & Brenjekjy, A. (2015). Educational technology, potentials, expectations and challenges. Procedia – Social and Behavioral Sciences, 174, 1474–1480. https://doi.org/10.1016/j.sbspro.2015.01.777
Muianga, X., Klomsri, T., Tedre, M., & Mutimucuio, I. (2018). From teacher-oriented to student-centred learning: Developing an ICT-supported learning approach at the Eduardo Mondlane University, Mozambique. The Turkish Online Journal of Educational Technology – TOJET, 17(2), 46–54. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-167235
Mwalumbwe, I., & Mtebe, J. S. (2017). Using learning analytics to predict students’ performance in moodle Learning Management Systems: A case of Mbeya university of science and technology. The Electronic Journal of Information Systems in Developing Countries, 79(1), 1–13. https://doi.org/10.1002/j.1681-4835.2017.tb00577.x
Nicholas-Omoregbe, O. S., Azeta, A. A., Chiazor, I. A., & Omoregbe, N. (2017). Predicting the adoption of E-learning management system: A case of selected private universities in Nigeria. Turkish Online Journal of Distance Education, 18(2), 106–106. https://doi.org/10.17718/tojde.306563
Nwabueze, C., Nwabueze, C., & Egbra, O. (2013). New communication technologies and microfinance banking in Nigeria: Critical role of social media. New Media and Mass Communication, 15, 12–17. https://bit.ly/2VZNX9z
Nwokolo, S., Solomon, A., & Garba, M. (2017). A review of e-learning technologies adoption in Nigeria’s tertiary education institutions. Journal of Engineering, Science and Technology, 1(1) https://bit.ly/37wFhN0
Olojo, O., Adewumi, M., & Ajisola, K. (2012). E-learning and its effects on teaching and learning in a global Age. International Journal of Academic Research in Business and Social Sciences, 2(1), 203–210.
Sawahel, W. (2013, January 25). Africa is the most dynamic e-learning market on the planet. University World News, Issue 256. www.universityworldnews.com/article.php?story=20130125105755921
Ssekakubo, G., Suleman, H., & Marsden, G. (2011). Issues of adoption. Proceedings of the South African Institute of Computer Scientists and Information Technologists Conference on Knowledge, Innovation and Leadership in a Diverse, Multidisciplinary Environment – SAICSIT ’11. https://doi.org/10.1145/2072221.2072248
Stark, L., Malkmus, E., Stark, R., Brünken, R., & Park, B. (2018). Learning-related emotions in multimedia learning: An application of control-value theory. Learning and Instruction, 58(58), 42–52. https://doi.org/10.1016/j.learninstruc.2018.05.003
Tarus, J. K., Gichoya, D., & Muumbo, A. (2015). Challenges of implementing e-learning in Kenya: A case of Kenyan public universities. The International Review of Research in Open and Distributed Learning, 16(1) https://doi.org/10.19173/irrodl.v16i1.1816
Trilling, B., & Fidel, C. (2009). 21st Century skills: Learning for life in our times. Jossey-Bass.
UNESCO Institute for Statistics. (2021). Nigeria – Educational System. http://uis.unesco.org/en/country/ng
Wang, Q. (2009). Designing a web-based constructivist learning environment. Interactive Learning Environments, 17(1), 1–13. https://doi.org/10.1080/10494820701424577
Yakubu, M. N., & Dasuki, S. I. (2018). Factors affecting the adoption of e-learning technologies among higher education students in Nigeria. Information Development, 35(3), 492–502. https://doi.org/10.1177/0266666918765907
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Achebo, N. (2022). Fostering a Digital Learning Ecosystem in Nigeria. In: Adeola, O., Edeh, J.N., Hinson, R.E. (eds) Digital Business in Africa. Palgrave Studies of Marketing in Emerging Economies. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-030-93499-6_12
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