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Mr Khutso Mnisi

Mr Khutso Mnisi

Instructional Designer

Contact Info

  • Mnisik@ukzn.ac.za

Staff Bio

I am Khutso Mnisi, an Instructional and Learning Designer at the University of KwaZulu Natal, working at the intersection of pedagogy, technology, and innovation. My work centres on crafting meaningful learning experiences, supporting academic staff, and shaping digital and blended learning environments that feel both intentional and responsive to context.
 
I am drawn to the evolving relationship between emerging technologies and education, particularly how AI can deepen and extend teaching and learning in higher education. My research, grounded in the Technology Acceptance Model, explores lecturers’ lived experiences with blended learning, paying close attention to the systems that enable or constrain adoption within the South African context.
 
Beyond my institutional role, I carry a broader curiosity about how knowledge is imagined, designed, and encountered. I am interested in learning spaces that do more than deliver content, spaces that invite reflection, inclusion, and transformation.
Education
  • B.Ed Senior Phase and FET, UJ.
  • B.Ed Hons STEM Education, UJ.
  • M.Ed STEM Education, UJ.
  • PhD STEM Education (ongoing), UJ.
Research Interest

My research interests sit within the evolving space of digital pedagogy, artificial intelligence in education, blended learning design, and decolonial approaches to knowledge and curriculum. I am particularly interested in how emerging technologies can be meaningfully integrated into teaching and learning without losing sight of context, identity, and epistemic inclusion.

Publication
  1. Mnisi, K. (2023). A case for deliberate and accommodative design for blended teaching and learning in universities in developing countries. Perspectives in Education, 41(2), 195–210. https://doi.org/10.38140/pie.v41i2.6863
Conferences and Presentations
  • Virtual and Augmented Reality at UFS, Global Change Conference, 2023
  • AI and Epistemic Diversity: reality vs bandwagon, UP2U Conference, 2023
  • AI in the post-colonial library: implications for information diversity, UJ Library Conference, 2024