Buch, Englisch, 226 Seiten, Format (B × H): 178 mm x 254 mm
Strategies for Maximizing Returns and Improving Outcomes
Buch, Englisch, 226 Seiten, Format (B × H): 178 mm x 254 mm
ISBN: 978-1-032-95756-2
Verlag: Taylor & Francis Ltd
AI is reshaping higher education—fast. This book brings together faculty, instructional designers, technologists, and academic leaders who are on the front lines of that change. Their chapters offer honest reflections, practical examples, and thoughtful perspectives on how AI is influencing course design, assessment, student support, policy, and leadership. Rather than hype or fear, the contributors offer grounded insight: what it takes to integrate AI in ways that are ethical, equitable, and truly student-centered. They explore both opportunities and risks, with an eye toward long-term impact—not just short-term solutions. Whether you're charting an institutional AI strategy or simply trying to understand what’s ahead, this collection is a timely guide. It doesn’t treat AI as a magic fix, but as a tool—one that, when used wisely, can help higher education become more human, not less.
Zielgruppe
Postgraduate, Professional Practice & Development, Professional Reference, and Professional Training
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Section 1: Foundations of AI in Online Learning 1. How AI is Transforming the Online Learning Landscape 2. The Economics of AI-Driven Online Learning: Cost Structures and ROI 3. Ethical Considerations and Challenges in AI-Enhanced Online Learning Section 2: AI-Powered Student Recruitment, Enrollment, and Onboarding 4. Artificial Intelligence Employed in Student Recruitment 5. AI-Assisted Admissions and Enrollment Management 6. Optimizing Student Onboarding with AI Section 3: AI-Enhanced Student Engagement, Retention, and Success 7. Personalized Learning Experiences with AI 8. AI-Powered Student Support and Advising in Online Higher Education 9. AI, Retention, and the Changing Face of Student Success Section 4: AI-Driven Instructional Design, Content Creation, and Assessment 10. AI-Assisted Course Design and Development 11. Leveraging AI Chatbots to Support Authentic and Inclusive Learning Experiences 12. AI-Enhanced Assessment and Feedback Section 5: AI-Powered Institutional Transformation and Future Trends 13. A4L: An Architecture for AI-Augmented Learning 14. Developing a Culture of AI Readiness in Higher Education 15. Operational Considerations for AI Implementation in Higher Education 16. Future Trends and Emerging Technologies for AI in Online Learning