Authors :
Vivek Mishra
Volume/Issue :
Volume 10 - 2025, Issue 7 - July
Google Scholar :
https://tinyurl.com/2u5d3af7
Scribd :
https://tinyurl.com/yck8xsbd
DOI :
https://doi.org/10.38124/ijisrt/25jul1495
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Note : Google Scholar may take 30 to 40 days to display the article.
Abstract :
Many advances, most notably "virtual assistance" powered by artificial intelligence (AI), have emerged in our
modern civilization as a result of the rentless integration of technology into every aspect of life. The dynamic sector of
education has not been an exception to the astounding effects of artificial intelligence. By providing individualized, adaptive,
and data-driven instruction, artificial intelligence (AI) has revolutionized traditional learning environments. This study
investigates how students' academic performance at different educational levels is affected by AI tools and technologies. The
study looks at how AI applications—like intelligent tutoring systems, automated grading, and predictive analytics—affect
student engagement, comprehension, and achievement through a thorough analysis of the body of existing literature,
surveys, and case studies. The findings suggest that AI can enhance academic performance by providing tailored learning
experiences, timely feedback, and improved resource accessibility. However, the study also highlights challenges such as
data privacy concerns, reliance on technology, and disparities in access.
References :
- Sihem Guidoum: The Impact of Artificial Intelligence on Students’ Academic Performance from University Teachers’ Perspective, ATRAS Volumn 5 ( Special issue on AI and Education), pp 381-395
- Singh, S. V., & Hiran, K. K. (2022). The Impact of AI on Teaching and Learning in Higher Education Technology. Journal of Higher Education Theory and Practice, 22(13), 135- 148.
- Ramo, R. M., Alshaher, A. A., & Al-Fakhry, N. A. (2022). The Effect of Using Artificial Intelligence on Learning Performance in Iraq: The Dual Factor Theory Perspective.
- Gupta, K. P. & Bhaskar, P. (2020). Inhibiting and Motivating Factors Influencing Teachers’ Adoption of AI-Based Teaching and Learning Solutions: Prioritization Using Analytic Hierarchy Process. Journal of Information Technology Education: Research, 19, 693-723.
Many advances, most notably "virtual assistance" powered by artificial intelligence (AI), have emerged in our
modern civilization as a result of the rentless integration of technology into every aspect of life. The dynamic sector of
education has not been an exception to the astounding effects of artificial intelligence. By providing individualized, adaptive,
and data-driven instruction, artificial intelligence (AI) has revolutionized traditional learning environments. This study
investigates how students' academic performance at different educational levels is affected by AI tools and technologies. The
study looks at how AI applications—like intelligent tutoring systems, automated grading, and predictive analytics—affect
student engagement, comprehension, and achievement through a thorough analysis of the body of existing literature,
surveys, and case studies. The findings suggest that AI can enhance academic performance by providing tailored learning
experiences, timely feedback, and improved resource accessibility. However, the study also highlights challenges such as
data privacy concerns, reliance on technology, and disparities in access.
