Book/AI Applications in Online Higher Education Administration: Strategies for Maximizing Returns and Improving Outcomes

• AI Applications in Online Higher Education Administration: Strategies for Maximizing Returns and Improving Outcomes

  • Edited volume (1st ed., Routledge, copyright 2026). Editors: Kathleen S. Ives, Marie A. Cini, and Ray Schroeder. 240 pages; 12 B/W illustrations.

  • 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. — Publisher description (Routledge)
    

  • External resources

    • Taylor & Francis eBooks (institutional)
    • Goodreads

  • Editors (brief)

    • Kathleen S. Ives, D.M. — Chief Business Development Officer and SVP, UPCEA; former CEO, Online Learning Consortium.
    • Marie A. Cini, Ph.D. — Provost, University of the People; former Provost, University of Maryland Global Campus.
    • Ray Schroeder, M.S. — Professor Emeritus, University of Illinois Springfield; Senior Fellow, UPCEA; writes "Online: Trending Now" for Inside Higher Ed.

  • Endorsement (excerpt)

    • This timely volume provides a systemic overview of the multiple ways AI can empower higher education. Its perspective is student-focused (recruitment, support, retention, quality of learning and assessment), with emphasis on how AI can enable operational factors (instructional design, management, finance). — Chris Dede, Harvard Graduate School of Education (blurb on Routledge)
      

  • Table of contents

    • 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

  • Annotations

    • Stub — add chapter notes, quotes, and links as you read.