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Integration of Artificial Intelligence in Higher Education: Challenges, Opportunities and Future Directions

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Bibliographic Details
Title: Integration of Artificial Intelligence in Higher Education: Challenges, Opportunities and Future Directions
Authors: KUMAR, SUNIL
Publisher Information: ABS Books, 2025.
Publication Year: 2025
Subject Terms: Teachers' Attitude, Artificial Intelligence in Education, Educational Technology, AI Ethics in Education, Artificial Intelligence in Education Teaching-Learning Process Teachers' Attitude Higher Education Educational Challenges Pedagogical Effectiveness Technology Integration Teaching Innovation Teacher Perception India, Challenges in Education, Blended and Online Learning, Teaching-Learning Process, Future of Education
Description: This paper explores the integration of Artificial Intelligence (AI) in higher education with a focus on its challenges, opportunities, and future directions. The study highlights how AI is reshaping teaching, learning, assessment, and administration in colleges and universities. It discusses the potential benefits such as personalized learning, efficient data-driven decision-making, and innovative pedagogical models, while also addressing concerns related to ethics, digital divide, teacher preparedness, and institutional policies. The work further outlines possible future pathways for the effective and sustainable adoption of AI in higher education systems, making it valuable for researchers, educators, policymakers, and technology developers.
Document Type: Conference object
Language: English
DOI: 10.5281/zenodo.16962080
DOI: 10.5281/zenodo.16962081
Rights: CC BY
Accession Number: edsair.doi.dedup.....81daf353d4cd6d13c7c8288dde178d63
Database: OpenAIRE
Description
Abstract:This paper explores the integration of Artificial Intelligence (AI) in higher education with a focus on its challenges, opportunities, and future directions. The study highlights how AI is reshaping teaching, learning, assessment, and administration in colleges and universities. It discusses the potential benefits such as personalized learning, efficient data-driven decision-making, and innovative pedagogical models, while also addressing concerns related to ethics, digital divide, teacher preparedness, and institutional policies. The work further outlines possible future pathways for the effective and sustainable adoption of AI in higher education systems, making it valuable for researchers, educators, policymakers, and technology developers.
DOI:10.5281/zenodo.16962080