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

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

Authors

Publication Details

Journal
East African Journal of Arts and Social Sciences
Published
2025-06-02
DOI
https://doi.org/10.37284/eajass.8.2.3080
Primary Topic
Online Learning and Analytics
Type
article
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article

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

Azania Emmanuel Mwalulesa, Tusajigwe Isaack Marobhe
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East African Journal of Arts and Social Sciences
Online Learning and Analytics
article

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

Azania Emmanuel Mwalulesa, Tusajigwe Isaack Marobhe
article en

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

East African Journal of Arts and Social SciencesVol. 8(2)
Openalex Percentile: Top 88%
Online Learning and Analytics
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The Impacts of AI on Student Academic Performance at the Mwalimu Nyerere Memorial Academy, Tanzania, (MNMA): A Comprehensive Study — Azania Emmanuel Mwalulesa, Tusajigwe Isaack Marobhe · East African Journal of Arts and Social Sciences (2025) | TGRS Research Map | TGRS