AI and Education: Personalised Learning and Adaptive Systems.

Abstract

This dissertation investigates the transformative role of Artificial Intelligence (AI) in enhancing educational experiences through personalised learning and adaptive systems. In an era where AI reshapes learning environments globally, there is a notable research gap in understanding its practical impacts within African academic settings. This study employs a mixed-methods approach—integrating quantitative surveys of 40 students and qualitative interviews with educators and students experienced in AI-driven education— to explore the effectiveness of AI tools in tailoring content, providing adaptive feedback, and improving student outcomes. Key findings indicate that AI technologies significantly contribute to personalised learning: 55% of respondents reported substantial improvements in understanding complex subjects, while adaptive feedback and learning recommendations were identified as the most valuable features by 65% and 53% of participants, respectively. Despite challenges such as contextual accuracy and ethical concerns, the research recommends targeted initiatives including AI literacy programs for educators and the development of institutional frameworks to support AI integration. This work not only enriches the dialogue on technology-enhanced learning in African higher education but also offers actionable strategies to optimise AI adoption for improved teaching and learning outcomes.