Digital Transformation and Artificial Intelligence in the Service of Project-Based Learning in Higher Technological Education in Africa
Authors
Lecturer-researcher, Department of Organization and Administrative Management (OGA) at the University Institute of Technology (IUT), University of Douala, BP 8696, Member of Architectural Finance and Organizational Management (FARGO), Higher School of Economic and Commercial Sciences (ESSEC) of Douala (Cameroon)
GREG-FSEGA University of Douala (Cameroon)
Article Information
DOI: 10.47772/IJRISS.2026.100800119
Subject Category: FINANCE
Volume/Issue: 10/8 | Page No: 1768-1776
Publication Timeline
Submitted: 2026-08-12
Accepted: 2026-08-18
Published: 2026-08-27
Abstract
The expansion of digital technologies and artificial intelligence (AI) is driving a significant evolution in teaching practices in higher technological education. In the African context, a key question arises: how can these tools be leveraged to optimize project-based learning while taking into account the limitations related to infrastructure, digital skills, and institutional frameworks? Project-based learning, centered on solving concrete problems and the collective production of knowledge, provides a relevant framework for integrating advanced digital technologies. The methodological approach adopted is based on a qualitative analysis of scientific works, institutional reports, and initiatives carried out on the African continent. The expected results highlight several determining factors: the availability of technological infrastructure, the strengthening of teacher skills, the integration of AI into curricula, and the development of blended learning modalities. Ultimately, the convergence of digital transformation, blended learning, and artificial intelligence offers promising prospects for the modernization of higher technological education in Africa.
Keywords
Digital transformation · Educational artificial intelligence · Project-based learning
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References
1. Baker, R. S., & Inventado, P. S. (2014). Educational data mining and learning analytics. In J. A. Larusson & B. White (Eds.), Learning analytics: From research to practice (pp. 61–75). Springer. [Google Scholar] [Crossref]
2. Banque mondiale. (2022). Digital infrastructure in African higher education: A landscape review. World Bank Group. [Google Scholar] [Crossref]
3. Bates, A. W. (2019). Teaching in a digital age: Guidelines for designing teaching and learning (2nd ed.). Tony Bates Associates Ltd. [Google Scholar] [Crossref]
4. Blumenfeld, P. C., Soloway, E., Marx, R. W., Krajcik, J. S., Guzdial, M., & Palincsar, A. (1991). Motivating project-based learning: Sustaining the doing, supporting the learning. Educational Psychologist, 26(3-4), 369–398. [Google Scholar] [Crossref]
5. Creswell, J. W. (2014). Research design: Qualitative, quantitative, and mixed methods approaches (4th ed.). Sage Publications. [Google Scholar] [Crossref]
6. Dewey, J. (1916). Democracy and education: An introduction to the philosophy of education. Macmillan. [Google Scholar] [Crossref]
7. Diagne, A. (2020). L'Université Virtuelle du Sénégal : un modèle d'innovation pédagogique pour l'Afrique subsaharienne. Revue Africaine d'Éducation et de Société, 8(2), 45–67. [Google Scholar] [Crossref]
8. Diallo, M., & Traoré, S. (2021). Compétences technopédagogiques des enseignants universitaires en Afrique de l'Ouest : état des lieux et perspectives. Éducation et Formation, 315, 23–41. [Google Scholar] [Crossref]
9. Gasarabwe, E., & Mugisha, J. (2019). Rwanda's digital transformation in education: Lessons learned and challenges ahead. International Journal of Educational Development, 68, 14–22. [Google Scholar] [Crossref]
10. Graesser, A. C., Conley, M. W., & Olney, A. (2018). Intelligent tutoring systems. In G. Sinatra, S. Heddy, & D. Lombardi (Eds.), The challenges of conceptual change in educational technology (pp. 125–149). Cambridge University Press. [Google Scholar] [Crossref]
11. Helle, L., Tynjälä, P., & Olkinuora, E. (2006). Project-based learning in post-secondary education: Theory, practice and rubber sling shots. Higher Education, 51(2), 287–314. [Google Scholar] [Crossref]
12. Joshi, M., & Chavan, M. (2019). Artificial intelligence and education in Africa: Risks, opportunities and governance considerations. Journal of African Studies in Educational Technology, 5(1), 12–29. [Google Scholar] [Crossref]
13. Kilpatrick, W. H. (1918). The project method. Teachers College Record, 19(4), 319–335. [Google Scholar] [Crossref]
14. Krajcik, J. S., & Shin, N. (2014). Project-based learning. In R. K. Sawyer (Ed.), The Cambridge handbook of the learning sciences (2nd ed., pp. 275–297). Cambridge University Press. [Google Scholar] [Crossref]
15. Larmer, J., Mergendoller, J., & Boss, S. (2015). Setting the standard for project-based learning. ASCD. [Google Scholar] [Crossref]
16. Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence unleashed: An argument for AI in education. Pearson Education. [Google Scholar] [Crossref]
17. Mishra, L., Gupta, T., & Shree, A. (2020). Online teaching-learning in higher education during lockdown period of COVID-19 pandemic. International Journal of Educational Research Open, 1, 100012. [Google Scholar] [Crossref]
18. Ogata, H., & Arnseth, H. C. (2013). CSCL in Asia: Quo vadis? Research and Practice in Technology Enhanced Learning, 8(1), 1–14. [Google Scholar] [Crossref]
19. Oyelaran, O., Olaniyi, O. V., & Adeyinka, A. (2020). Project-based learning in Nigerian universities: Integrating digital tools in resource-constrained environments. African Journal of Higher Education Studies, 12(3), 78–97. [Google Scholar] [Crossref]
20. Selwyn, N. (2019). Should robots replace teachers? AI and the future of education. Polity Press. [Google Scholar] [Crossref]
21. Sengeh, D. M. (2020). Radical inclusion: What the post-COVID-19 world can learn from low-resource settings in education. Brookings Institution. [Google Scholar] [Crossref]
22. Siemens, G. (2013). Learning analytics: The emergence of a discipline. American Behavioral Scientist, 57(10), 1380–1400. [Google Scholar] [Crossref]
23. Thomas, J. W. (2000). A review of research on project-based learning. Autodesk Foundation. [Google Scholar] [Crossref]
24. UNESCO. (2021). Education for sustainable development goals: Learning objectives and digital technologies. UNESCO Publishing. [Google Scholar] [Crossref]
25. VanLehn, K. (2011). The relative effectiveness of human tutoring, intelligent tutoring systems, and other tutoring systems. Educational Psychologist, 46(4), 197–221. [Google Scholar] [Crossref]
26. Warschauer, M., & Grimes, D. (2008). Automated writing assessment in the classroom. Pedagogies: An International Journal, 3(1), 22–36. [Google Scholar] [Crossref]
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