Future Trends and Emerging Technologies for AI in Online Learning

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Authors: Adam D. Fein
Cited by: 0

Abstract

This chapter explores the evolving role of artificial intelligence (AI) in online learning and higher education across short-, medium-, and long-term horizons. It begins by emphasizing the importance of AI literacy for students, faculty, and staff. Current applications include AI chatbots, early warning systems, and adaptive learning tools. Near-term innovations feature intelligent content curation, virtual tutors, and AI-enhanced accessibility. Medium-term trends suggest the rise of multimodal tutoring systems and personalized assessments, while long-term possibilities include emotion-aware AI, synthetic students, and autonomous content creators. The chapter also addresses challenges such as data privacy, equity, and the need to preserve human agency. It promotes a human-centered, ethically grounded approach and urges educators, technologists, and institutions to shape AI’s integration in ways that support learning, uphold academic values, and expand access. Serving as a roadmap, this chapter guides stakeholders in leveraging AI to improve educational quality and outcomes.

Fields of Study & Subjects

Artificial Intelligence in Education Intelligent Tutoring Systems and Adaptive Learning Artificial Intelligence in Healthcare and Education

Publication details

Journal / source
Routledge eBooks
Pages
188–201
Publication date
3 February 2026
Language
EN
Document type
Book chapter