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Towards Personalised Learning in Higher Learning Institutions in Tanzania
Nelson Mandela African Institution of Science and Technology, Tanzania .
Blekinge Institute of Technology, Faculty of Computing, Department of Technology and Aesthetics.ORCID iD: 0000-0002-8263-0959
Nelson Mandela African Institution of Science and Technology, Tanzania .
Nelson Mandela African Institution of Science and Technology, Tanzania .
2024 (English)In: International Journal of Advances in Scientific Research and Engineering, E-ISSN 2454-8006, Vol. 10, no 12, p. 37-49Article in journal (Refereed) Published
Abstract [en]

This study examines the challenges and students’perceptions of adopting and implementing e-learning in Tanzanian universities to facilitate the shift towards personalised learning. Although technology and online courses provide chances to customise training for unique student requirements, challenges impede the successful incorporation of e-learning in Tanzanian higher education, particularly regarding user training and technical support. The absence of crucial amenities for online education, such as computer laboratories and dependable internet connectivity, exacerbates the challenges in executing implementation endeavours.

We employed a mixed-methods approach to investigate universities’preparedness for implementing e-learning and evaluate the impact of e-learning platforms and Artificial Intelligence(AI) in facilitating personalised learning experiences.

Our findings emphasise the significance of tackling identified obstacles to enhance education quality and provide a basis for customised learning. Subsequent studies should focus on filling the existing voids to improve the incorporation of artificial intelligence in e-learning platforms, explicitly addressing the obstacles faced by universities in underdeveloped nations. The study suggests that institutions should allocate resources towards developing e-learning infrastructure, offer extensive training for instructors, and create customised e-learning methods.

Place, publisher, year, edition, pages
Sretech Journal Publication , 2024. Vol. 10, no 12, p. 37-49
Keywords [en]
Artificial Intelligence, e-learning, ICT, Customised learning, learning, Personalised learning
National Category
Artificial Intelligence Pedagogy
Identifiers
URN: urn:nbn:se:bth-27385DOI: 10.31695/ijasre.2024.12.4OAI: oai:DiVA.org:bth-27385DiVA, id: diva2:1929778
Available from: 2025-01-21 Created: 2025-01-21 Last updated: 2025-09-30Bibliographically approved

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Trojer, Lena

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