Binoli, Sri Astuti
Unknown Affiliation

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

Artificial Intelligence Learning in Higher Education Rompas, Parabelem Tinno Dolf; Winowatan, Saruendo; Binoli, Sri Astuti; Limeri, Hendrik; Batmetan, Johan Reimon
International Journal of Information Technology and Education Vol. 5 No. 1 (2025): December 2025
Publisher : JR Education

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The development of Artificial Intelligence (AI) has introduced new opportunities for transforming higher education, particularly in digital learning, academic management, and scientific research. AI enables real-time learning data analysis, personalized learning materials tailored to student needs, and automation of administrative tasks. This structured literature review explores AI implementation, benefits, and challenges in higher education. The findings indicate that adaptive learning systems, learning analytics, intelligent tutoring systems, and AI-driven chatbots enhance learning effectiveness and support academic decision-making. However, issues such as data privacy, algorithmic bias, and limited AI literacy remain significant obstacles. Responsible integration of AI requires strong policy frameworks, institutional readiness, and transparent system design.