Abstract:
Artificial Intelligent (AI) has been trying to improve education systems by
enabling personalized learning, improving administrative efficiency and
supporting decision making. This paper conducted the PRISMA based
systematic methodology and article selection process were encompassed
academic journal articles, conference papers and institutional reports with
a focus on studies published between 2019 to 2024 such Key databases
like Science Direct, IEEE Xplore and Google Scholar. After screening the
292 published articles, conferences, reports, 84 studies were finalized to
conduct this paper for addressing the research gaps. While AI offers
significant benefits, including personalized instruction and resource
allocation, it also introduces ethical challenges related to data privacy, bias
and equitable access to AI tools. The review highlights the role of AI in
improving teaching efficiency through real time analytics and in
supporting educators by automating routine tasks. Ethical considerations
are addressed, particularly how universities manage data security and
mitigate the risk of biased decision making. From the implication point of
view, the study also explores possible solutions to bridge the digital divide,
ensuring the students from diverse socio economic backgrounds can
access AI driven learning tools. This research contributes to extend the
relevant studies for the growing discourse on AI in education by offering
practical insight and recommendations for maximizing AI’s potential
while minimizing its risks, providing a roadmap for future research.
