Impact of Artificial Intelligence on Assessment, Engagement and Motivation among Secondary School Students in Kaduna State, Nigeria

Rahmatu Abdullahi Dogara, Fatima Shehu Kabir and Uthman Shehu Lawal
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Rahmatu Abdullahi Dogara: Department of Education Foundations, Kaduna State University
Fatima Shehu Kabir: Department of Education Foundations, Kaduna State University
Uthman Shehu Lawal: Department of Education Foundations, Kaduna State University

International Journal of Research and Innovation in Social Science, 2025, vol. 9, issue 26, 9360-9369

Abstract: This paper examined the impact of Artificial Intelligence (AI) on student motivation and engagement in educational assessments. With the growing integration of AI technologies such as adaptive testing, automated grading, and intelligent feedback systems, assessment practices are being reshaped to promote efficiency, fairness, and personalization. The study reviewed the concept of AI in education, highlighting its potential to foster intrinsic motivation, enhance student engagement, and reduce assessment anxiety through real-time feedback and adaptive questioning. However, challenges such as ethical concerns, overreliance on technology, and possible bias in AI algorithms were also discussed. Findings suggest that while AI-powered assessments improve inclusivity, promote continuous learning, and sustain motivation, they also risk diminishing critical thinking and creativity if not carefully managed. The paper concluded that AI-driven assessments must complement, not replace, human judgment, and recommended that educators adopt blended assessment models that balance technology with human-centered learning principles.

Date: 2025
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