The Impacts of AI on Student Academic Performance at the Mwalimu Nyerere Memorial Academy, Tanzania, (MNMA): A Comprehensive Study

Abstract

This study explores the impact of Artificial Intelligence (AI) on academic performance at MNMA (Mwalimu Nyerere Memorial Academy) Karume Campus. AI technologies, including adaptive learning platforms, intelligent tutoring systems, automated grading, and generative tools such as ChatGPT and Perplexity AI, have transformed education by enhancing personalized learning and accessibility. AI-driven systems like OSIM, PEPMIS and PIPMIS facilitate staff and student performance evaluation, ensuring data-driven decision-making. Using a mixed-method design, this study gathered primary data through surveys, interviews, and observations, while secondary data was sourced from academic journals and institutional reports. Stratified sampling ensured diverse perspectives from students, faculty, and administrative staff. The study also highlights the role of computer libraries, interactive projectors, and eBooks in enriching academic experiences. Although AI improves learning processes, reduces administrative burdens, and accelerates research, challenges such as limited technological resources and insufficient training hinder full adoption. Addressing these challenges through infrastructure investment and ethical integration can maximize AI’s positive impact. This study provides insights into AI's role in education and recommends strategies for its balanced and effective use in academia