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This scientometric study explores the integration of information technologies into physics education within the African context, addressing five primary research questions. The research methodology employed a multi-faceted data collection approach, utilizing AI models. ChatGPT was used to search possible derivative keywords, Web of Science, Scilit.net, and other academic databases to source relevant articles, and R programming to analyze data. After data filtering, the study focused on a final dataset of 226 articles for in-depth analysis. Key findings reveal South Africa’s leadership in research activity, accounting for 88 out of 226 publications. ”Technology (unspecified type)” and ”YouTube videos” emerged as frequently referenced keywords, indicating their significance in African physics classrooms. Physics education took center stage, with energy-related topics and subfields like momentum and motion also receiving attention. Classroom assessment research encompassed academic accomplishment, conceptual understanding, student attitude, and motivation to learn physics. The results offer valuable insights into the diversification of research and educational priorities, guiding policymakers, educators, and researchers seeking to enhance physics education through technology in African classrooms.
Kizito Ndihokubwayo (Mon,) studied this question.