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Moses Segbenya; Felix Senyametor; Simon-Peter Kafui Aheto; Edmond Kwesi Agormedah; Kwame Nkrumah; Rebecca Kaedebi-Donkor – Cogent Education, 2024
This study examined the effect of antecedents of artificial intelligence (AI) on the productivity of academics in higher education. The study was guided by the pragmatic epistemic perspective predicated on the concurrent integrated mixed-method design used with the support of a Google softcopy version of the semi-structured questionnaire (closed…
Descriptors: Influences, Artificial Intelligence, Productivity, College Faculty
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Ssentamu, Proscovia Namubiru – Journal of Education and Training Studies, 2014
Faculty quality is a key variable in the quality of teaching and learning. However, although learning is the basis for teaching, the circumstances under which faculty learn largely remain unexplained. This paper focuses on the opportunities and threats to learning by faculty at Uganda Management Institute (UMI). The paper is based on a study of…
Descriptors: Foreign Countries, College Faculty, Faculty Development, Workshops
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Zhu, Chang; Justice Mugenyi, Kintu – Technology, Pedagogy and Education, 2015
This research examines the strengths, weaknesses, opportunities and threats (SWOT) to integrating e-learning perceived by academic staff at a university in Uganda and a university in Tanzania. Mixed-methods research was used in which a main qualitative study was complemented by a quantitative method. The sample participants were academic staff…
Descriptors: Foreign Countries, Electronic Learning, Integrated Curriculum, College Faculty