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Journal . 2026
License: CC BY
Data sources: Datacite
ZENODO
Journal . 2026
License: CC BY
Data sources: Datacite
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A STUDY ON THE ROLE OF ARTIFICIAL INTELLIGENCE IN ENHANCING STUDENT ACADEMIC PERFORMANCE

Authors: Ms. Ankita Lohar;

A STUDY ON THE ROLE OF ARTIFICIAL INTELLIGENCE IN ENHANCING STUDENT ACADEMIC PERFORMANCE

Abstract

Artificial Intelligence (AI) has become a transformative technology in education, offering innovative tools that support learning and academic development. AI-based applications, such as intelligent tutoring systems, virtual assistants, Chatbots, and writing assistance tools, are increasingly being used by students for educational purposes. These technologies have the potential to transform traditional learning methods into engaging sessions by improving understanding, engagement, and overall academic performance. The study aims to evaluate the role of Artificial Intelligence in enhancing student academic performance among undergraduate students. The study helps to analyse how AI tools lead to improved understanding of academic concepts, quality of assignments, time management, and overall learning efficiency. It also helps to know the students' perceptions regarding the opportunities and challenges associated with the use of AI in academics. A descriptive research method is used. Descriptive and analytical methods are used to interpret the collected data. The primary data was collected through a structured questionnaire. Secondary data was sourced from journals, articles and online reports. The findings of the study are expected to indicate that AI plays a significant role in enhancing academic performance and offers various benefits. However, challenges like over-dependency on AI tools, accuracy and reliability issues, data privacy and security risk were also identified. The study highlights the importance of proper guidance and awareness about ethical use of AI tools to maximise learning outcomes while minimising over-dependence. The results of this research may help educational institutions and policymakers in framing effective strategies for the responsible use of the AI in education and enhance academic development. 

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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