A Review of AI-Enabled Personalised Teaching (2021–2025): Progress, Impact, and Future Directions
DOI:
https://doi.org/10.62049/jkncu.v5i2.342Abstract
Between 2021 and 2025, AI-enabled teaching emerged as a key innovation in addressing global educational challenges such as teacher shortages, learning disparities, and skills gaps. For the first time, it promised to give learners outside of a lab or limited settings, a personal teacher available to support their diverse needs in highly personalised ways 24/7. This paper critically reviews the evolution of AI-integrated teaching, synthesising insights from existing literature alongside findings from four major research studies conducted by the authors during this period. Central to these investigations is OIAI, an AI-teacher system developed and piloted by the researchers across Africa, Europe, Asia, North America and South America. These form the basis of a pioneering implementation in two African nations; Kenya and São Tomé and Príncipe, in 2025.
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Copyright (c) 2025 Dev Aditya, Pauldy CJ Otermans

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
CC Attribution-NonCommercial 4.0