Science Education

The research, publications, and postgraduate supervision draw on frameworks such as Systemic Functional Linguistics, Legitimation Code Theory, the Concerns-Based Adoption Model, and theories of professional development to examine how knowledge is structured, taught, and made accessible in diverse educational contexts. In addition, the focus is also on identifying and advancing grounded innovation in Foundation Phase schooling and teacher education, with an emphasis on systems learning and educational transformation.  

Kavish Jawahar

Mathematics Education

The research interests span the fields of Ubuntu in the teaching and learning of geometric concepts, Conceptual understanding of Calculus Concepts, Ethnomathematics and indigenous knowledge in mathematics teaching and learning, Mathematics in-service teacher professional development, Mathematical Thinking, Pre-service mathematics teacher education, Instructional design in mathematics teaching and learning, and learning in mathematics. 

Zingiswa Jojo

Language Education

The research explores how language and literacy can promote equity, inclusion, and critical engagement. It also focuses on how multilingual and first-generation students develop academic writing skills and navigate academic discourse. Grounded in sociocultural and critical literacy theories, the research emphasises student agency and voice and also specialises in vocabulary development and languaging within marginalised and/ or multilingual learning environments.

Jaulani Sibanda, Sean Nkosi

ICT in Education

Researching the integration of digital technology into schools, universities and adult learning.  Uses critical social theories and philosophical thinking to examine constraints and problems

faced when technology-based education is implemented with interests in:

• Examining the complex roles and practice of reconceptualising  Technology Pedagogical Content Knowledge (TPACK).
• The interplay of technologies and self-regulated learning
• The integration and practices of computational thinking across K-16 curricula, moving beyond syntax to focus on the underlying mental processes of abstraction, decomposition, and algorithmic reasoning
• Co-evolution of human and artificial intelligence, focusing on how interaction with AI alters or can be reconceptualised with the fundamental mechanics of human learning.

Clement Simuja

Last Modified: Wed, 15 Apr 2026 14:27:14 SAST