ARCHIVES
VOL. 2, ISSUE 3 (2026)
Academic opportunities and challenges associated with AI adoption in higher education and its influence on student learning performance
Authors
Dr. A Sudhanraj, S Lakshmipriya
Abstract
Artificial Intelligence (AI) has emerged as an important technology in
higher education, transforming traditional approaches to teaching and learning
through intelligent tutoring, adaptive learning, personalized education, and
generative AI applications. The development of AI in education can be traced to
early intelligent tutoring systems, which aimed to provide individualized
learning support to students (CARBONELL, 1970; SLEEMAN & Brown, 1982).
Recent advancements have expanded the role of AI in higher education by
supporting personalized learning, student engagement, immediate feedback,
flexible learning, knowledge acquisition, and academic assistance (BRUSILOVSKY,
1996; Holmes et al., 2019; ZAWACKI-Richter et al., 2019).
However, AI adoption also presents several challenges, including inadequate
technological infrastructure, lack of faculty training, academic integrity
concerns, data privacy, ethical issues, and excessive dependence on
AI-generated information (FLORIDI et al., 2018; ZAWACKI-Richter et al.,
2019; KASNECI et al., 2023). This review-based study examines the
opportunities and challenges associated with AI adoption in higher education
and explores its potential influence on student learning performance. The study
further reviews the roles of personalized learning and student engagement as
important mechanisms through which AI may improve learning outcomes, while AI
literacy is considered an important student competency for the effective and
responsible use of AI technologies (Long & MAGERKO, 2020). Overall, the
review highlights that AI can contribute to improved student learning
performance when it is integrated with effective pedagogy, appropriate
institutional support, digital infrastructure, AI literacy, and ethical
guidelines. The study provides a conceptual foundation for future empirical
research examining AI adoption and student learning performance in higher
education.
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Pages:1-5
How to cite this article:
Dr. A Sudhanraj, S Lakshmipriya "Academic opportunities and challenges associated with AI adoption in higher education and its influence on student learning performance". World Journal of Current Research, Vol 2, Issue 3, 2026, Pages 1-5
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