Mr Ikechukwu Oguoma Oguoma

Mr Ikechukwu Oguoma Oguoma

Part-Time Lecturer and Researcher Bloemfontein Campus
Qualifications: MSc (Mathematics and Applied Mathematics) | BSc Hons (Mathematics) | PGCE (Mathematics)

Professional Background

Mr Ikechukwu Chiwueze Oguoma is a Mathematics Educator, Researcher, and STEM Education and Artificial Intelligence specialist with an interdisciplinary background spanning mathematics, applied mathematics, educational technology, computational modelling, and data-driven research. He brings seven years of lecturing experience at the Central University of Technology (CUT), focusing on using computational and emerging technologies to strengthen conceptual understanding in STEM education.

His technical expertise includes Python, R, SPSS, and MATLAB, applied to data analysis, mathematical modelling, visualisation, and educational analytics. His current research interests lie at the intersection of Artificial Intelligence in Education, cognitive and dynamic visualisation, and technology-enhanced learning. He is actively involved in developing AI-enhanced and Python-supported visual learning approaches aimed at making abstract mathematical concepts more accessible and conceptually meaningful to learners.

Areas of Expertise

  • • Artificial Intelligence in Education & Educational Technology
  • • Mathematics & STEM Education Pedagogy
  • • Applied Research Methodology, Data Analytics & Computational Modelling
  • • Applied Mathematics & Mathematical Modelling
  • • Research, Innovation & Digital Learning Solutions

Selected Publications

  • • An APOS-Based Diagnostic Analysis of Derivative Understanding Among First-Year Engineering Students.
  • • Transforming Gifted Education in Mathematics Through Artificial Intelligence Integration.
  • • Mathematical Modelling of the Spread and Control of Onchocerciasis in Tropical Countries: Case Study in Nigeria.
  • • On the Analysis of the Treatment Model for Onchocerciasis Infected Host in Tropical Countries.
  • • Possible Applications of Fractional Order Derivative to Image Edges Detection.

Contact Us
Mr Ikechukwu Oguoma Oguoma

Mr Ikechukwu Oguoma Oguoma

ioguoma@cut.ac.za