Reimagining Economics Education in a Digitised Africa: Integrating Artificial Intelligence and Data Analytics in Teaching

Economics education in Africa has traditionally relied on conventional pedagogical methods that often emphasize rote learning and theoretical knowledge, leaving students underprepared for the demands of a digitized and data-driven economy. The rapid growth of digital technologies, particularly Artificial Intelligence (AI) and Data Analytics, presents a unique opportunity to transform the teaching and learning of economics across the continent. This paper explores the integration of AI and Data Analytics into economics curricula as a strategy to modernize education, enhance student engagement, and equip graduates with practical skills required in contemporary economic environments. By incorporating AI tools and data-driven methodologies, educators can create personalized learning experiences, facilitate real-time analysis of economic phenomena, and design hands-on projects that contextualize theoretical concepts. Furthermore, integrating technology supports evidence-based decision-making, improves pedagogical effectiveness, and fosters critical thinking among students. Case studies from institutions such as the University of Cape Town, University of Nairobi, and Massachusetts Institute of Technology illustrate how data-centric approaches enhance learning outcomes and employability. Despite the potential benefits, challenges such as limited technological infrastructure, inadequate educator training, and resource constraints must be addressed for effective implementation. The paper advocates for a multi-pronged approach involving curriculum reform, innovative teaching strategies, and continuous professional development for educators. By embracing AI and Data Analytics, African higher education institutions can cultivate a generation of economists capable of navigating complex economic systems, driving innovation, and contributing meaningfully to the continent’s socio-economic development.