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Emerging assumptions and the future of artificial intelligence in teaching and learning processes in higher learning Institutions in Sub-Saharan Africa: A review of literature

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dc.contributor.author Mwilongo, Kardo
dc.contributor.author Mwageni, Rhodes
dc.contributor.author Matto, George
dc.date.accessioned 2023-08-23T08:25:12Z
dc.date.available 2023-08-23T08:25:12Z
dc.date.issued 2022
dc.identifier.citation Mwilongo. K., Mwageni. R., & Matto. G. (2022). Emerging assumptions and the future of artificial intelligence in teaching and learning processes in higher learning Institutions in Sub-Saharan Africa: A review of literature. Zambia Journal of Library & Information Science, 6 (2), 12-18 en_US
dc.identifier.uri http://repository.mocu.ac.tz/xmlui/handle/123456789/584
dc.description.abstract This paper explores emerging assumptions and the future of artificial intelligence in teaching and learning processes in Higher Learning Institutions in Sub-Saharan Africa. The paper assesses the use of interactive and engaging applications of artificial intelligence and emerging technologies in educational inferences and predicts its future in Higher Learning Institutions in Sub-Saharan Africa. The results were analysed, evaluated, compared, contrasted, and discussed in tandem with the Resource Based View Theory. The results show that the applications of artificial intelligence in teaching and learning processes bring together the world in which facilitators and students’ network and share knowledge, skills, and experiences. But the technologies have threatened employment opportunities. The study recommends that artificial intelligence technologies should align with the environments, cultures, needs, and socio-economic developments of Sub-Saharan Africa. Also, higher learning institutions should endeavour to establish frameworks for infrastructure development and capacity building for the stakeholders. en_US
dc.language.iso en en_US
dc.publisher Zambia Journal of Library & Information Science en_US
dc.subject Artificial Intelligence en_US
dc.subject Higher Learning Institutions en_US
dc.subject Teaching and Learning processes en_US
dc.subject Sub-Saharan Africa en_US
dc.subject Education en_US
dc.title Emerging assumptions and the future of artificial intelligence in teaching and learning processes in higher learning Institutions in Sub-Saharan Africa: A review of literature en_US
dc.type Article en_US


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