| dc.description.abstract | Artificial intelligence is dynamically, and in many ways, irretrievably changing modern
education due to personalized learning support, the automation of administrative duties,
and improvements in the classroom. However, not all challenges are met squarely:
teacher preparedness and ethical concerns are only the beginning, not to mention
infrastructural constraints. This is a review of certain applications of AI in facilitating
adaptive learning, intelligent tutoring systems, and inclusive education for learners.
A literature review on artificial intelligence in education from the years 2015 to 2024
reveals that it produces better learning outcomes for students and increased efficiency
for teachers through immediate feedback, thus helping both in the process of education.
Some of the most prominent applications include Adaptive Learning Systems and
Intelligent Tutoring Systems. However, the following issues of Algorithmic Bias, Data
Privacy, and Teacher Digital Literacy are all important concerns that each deserves
much more emphasis than they have received so far.This paper presents a critical review
of the literature on AI integration, tracing the gaps in the same. Therefore, it calls for
the continuous training of teachers, robust policy reforms, and heavy infrastructure
investments that will ensure effective and equitable AI adoption. The finding underlines
that only with responsible implementation will the full potential of AI be reaped to
foster an inclusive and efficient educational environment. | en_US |
