Integrating artificial intelligence into teacher education programme in Nigeria: opportunities, challenges and future directions
Keywords:
Artificial Intelligence, Teacher Education, Nigeria, Educational Technology, Digital Transformation, Teacher PreparationAbstract
The integration of Artificial Intelligence (AI) into teacher education programmes has emerged as a critical imperative for nations seeking to prepare their educational systems for the demands of the 21st century. This paper examines the landscape of AI integration in Nigerian teacher education, critically analysing the opportunities, challenges, and future directions that characterise this complex endeavour. Drawing on a comprehensive review of literature, policy documents and recent implementation reports to conceptualise the competencies and conditions necessary for effective AI integration. The findings reveal that while Nigeria has demonstrated policy-level commitment to digital transformation through initiatives such as the National Centre for Artificial Intelligence and Robotics (NCAIR), the Experience AI programme, and the National Commission for Colleges of Education's revised Minimum Standards, actual integration remains nascent and uneven across institutions. Significant opportunities exist for AI to enhance pedagogical practice through personalised and adaptive instruction, improve assessment and feedback processes, support professional development, address resource constraints, and potentially enhance educational equity. However, formidable challenges impede effective integration, including pervasive infrastructural deficits (unreliable electricity, unstable internet connectivity and inadequate computing facilities), limited AI literacy among teacher educators, chronic underfunding, policy implementation gaps, cultural resistance, and concerns about equity and inclusion. Ethical considerations surrounding data privacy, algorithmic bias, and academic integrity further complicate the integration landscape. The study concludes that Nigeria stands at a pivotal moment where strategic, context-sensitive implementation of AI could be transformative for teacher education, but realising this potential demands a balanced, evidence-informed, and ethically grounded approach. Recommendations are offered for policymakers, teacher education institutions, teacher educators, researchers, and international partners, addressing infrastructure development, professional development, curriculum integration, policy formulation, research generation, and partnership building. The paper argues that teacher education must be placed at the centre of Nigeria's AI strategy, as teachers are the primary agents of educational transformation, and their preparation ultimately determines the quality of the educational system and the nation's capacity to prepare its citizens for a technology-driven future.