Paper Details

Name: Navpreet Kaur, Mamta Sambyal & Krishan Gopal
Country: India

Year: 2025
Volume: Volume-12, Issue-2 (July-December)
Page Number: 116-124
DOI: https://doi.org/10.5281/zenodo.17284754

ABSTRACT
This paper synthesizes secondary literature on artificial intelligence (AI) in education
between 2015 and 2025, drawing from peer-reviewed journals, conference proceedings, and
organizational reports. It explores emerging trends, challenges, and opportunities, with key
themes such as adaptive and personalized learning, intelligent tutoring systems, learning
analytics, ethical considerations, teacher readiness, and equity and inclusion. The review
highlights the substantial potential of AI to improve learning outcomes, engagement, and
efficiency, while exposing critical gaps: insufficient long-term, large-scale empirical
research; uneven global coverage; limited focus on ethics, transparency, and data privacy;
and poor integration of AI concepts into teacher education and policy frameworks. The
abstract concludes with directions for future research to address these deficiencies.
Keywords: Artificial Intelligence, Education, Higher Education, Learning, Teaching,
Assessment, Adaptive Learning