Leveraging Artificial Intelligence for Enhanced Assessment and Feedback Mechanisms in Nigeria Higher Education System

This paper explores the inherent potentials of Artificial Intelligence (AI) in enhancing assessment and feedback mechanisms within Nigeria’s higher education system. The traditional assessment methods in Nigerian institutions often suffer from issues like inconsistent grading, delayed feedback, and significant administrative burdens on educators, which impede timely student interventions. AI technologies, with their capabilities in automation, data processing, and pattern recognition, offer solutions by enabling efficient, equitable, and personalized assessment systems. Automated grading, intelligent tutoring systems, and adaptive learning platforms are among the AI tools discussed, highlighting their role in streamlining grading processes, providing tailored learning experiences, and ensuring academic integrity through AI-powered proctoring. Key research and reports, such as those by Eli-Chukwu et al., Baker & Smith, Popenici & Kerr, Holmes et al., and Seldon & Abidoye, were cited to provide a thorough knowledge of AI’s influence in today’s educational system. Despite these benefits, the paper also addresses significant challenges, including infrastructure deficits, high implementation costs, digital literacy gaps, and ethical concerns such as data privacy and algorithmic bias. The study advocates for strategic investments in educational technology, professional development, and the establishment of ethical and regulatory frameworks to mitigate these challenges. By prioritizing AI integration, Nigeria can enhance educational quality, promote inclusivity, and align with global trends in higher education innovation.