EPUB Accessibility Report

TOC Outline

1. Cover
2. Copyright
3. Table of Contents
4. Preface
5. Editorial Note
6. Contributors
7. Acknowledgments
8. Prelude: Thoughts at the Top Dead Center
9. I. FOUNDATIONS AND FRAMES
10. 1. Historical and Philosophical Context
11. 2. The Ideals We Left Behind: From Bildung to the Market
12. 3. Technological Disruption and Platformization in Higher Education
13. Interlude I: A Student’s Whisper
14. II. VOICES FROM THE FIELD
15. 4. Ethical Frameworks and Institutional Responsibilities
16. 5. Institutional Archetypes: Flagships, Regionals, Faith-based, Global, Online, and Instructorless
17. Interlude II: A Minister’s Memo
18. III. PATTERNS AND TENSIONS
19. 6. Cross-cutting Themes and Divergences
20. Interlude III: A Knock at the Door
21. IV. COMPARATIVE CASE STUDIES
22. 7. Blind Spots, Frictions, and Unanticipated Consequences
23. Interlude IV: Συνποιητής
24. V. TOWARDS A GLOBAL FRAMEWORK
25. 8. Between Logic and Meaning: Why Off-the-Shelf Ethics and Prediction Fail
26. 9. From Reflection to Decision: The Missing Middle of AI Governance
27. 10. Readiness, Resistance, and Renewal: A Typology of Institutional AI Response
28. 11. Roadmaps for Policy and Practice
29. VI. ENTANGLED FUTURES AND STRATEGIC REALITIES
30. 12. Five Reflections for the Next Decade
31. 13. Entangled Futures: AI, Education, and the Systemic Web
32. 14. The Realpolitik of AI in Higher Education
33. Appendix A: How Generative AI Works
34. Appendix B: Empirical Anchors: AI, Assessment, and Institutional Response (2023–2025)
35. Bibliography
36. Index
37. About the Team
38. This book need not end here…
39. You may also be interested in:

Headings Outline

• ARTIFICIAL INTELLIGENCE IN HIGHER EDUCATION
• Artificial Intelligence in Higher Education
  • A Phenomenological View
    • Edited by Sencer Yeralan
• Table of Contents
• Preface
• Editorial Note on Scope and Representation
• Contributors
• Acknowledgments
• Prelude
  • Thoughts at the Top Dead Center
• Foundations and Frames
• 1. Historical and Philosophical Context
  • What Do We Mean by Artificial Intelligence?
  • Demystifying Neural Networks and Emergent Intelligence
  • From Symbolic AI to Machine Learning
  • On Emergence and Anthropomorphism
• 2. The Ideals We Left Behind: From Bildung to the Market
  • The Humboldtian Vision
  • The Neoliberal Turn
  • STEM, Skills, and the Quantification of Thought
  • The Cultural Response: Dark Academia and Longing
  • Consequences for AI in Education
  • A Quiet Insistence
• 3. Technological Disruption and Platformization in Higher Education
  • From Content to Infrastructure
  • A Return to Institutional Purpose
• Interlude I
  • A Student’s Whisper
• Voices from the Field
• 4. Ethical Frameworks and Institutional Responsibilities
  • Agency, Autonomy, and Institutional Capacity
  • Incentives and the Risk of Misalignment
  • Transparency, Trust, and the Limits of Explainability
  • On Intuition, Opacity, and the Shared Limits of Knowing
  • Ethics as Institutional Praxis
  • Closing Reflection
• 5. Institutional Archetypes: Flagships, Regionals, Faith-based, Global, Online, and Instructorless
  • Flagship Research Universities
  • Regional Public Universities
  • Faith-Based Institutions
  • Global and Transnational Universities
  • Fully Online Institutions
  • Instructorless or Automated Models
• Interlude II
  • A Minister’s Memo
• Patterns and Tensions
• 6. Cross-cutting Themes and Divergences
  • Voices in Divergence
  • Geopolitical Imbalance: The Aka View
  • Cognitive Drift: The Baker View
  • A View from the Crossroads: The Branković View
  • Entrepreneurship: The Gegeshidze View
  • Framing the Unknown: The Lee View
  • Beyond the Bonfire of AI: The Michalakelis View
  • Acceleration for Equity: The Nthangeni View
  • The Broken Promise: The Staiou View
  • Shared Craft: The Yeralan View
• Interlude III
  • A Knock at the Door
• Comparative Case Studies
• 7. Blind Spots, Frictions, and Unanticipated Consequences
  • Institutional Blind Spots
  • Operational Frictions
  • Unanticipated Consequences
  • The Value of Reflexivity
• Interlude IV
  • Συνποιητής
• Toward a Global Framework
• 8. Between Logic and Meaning: Why Off-the-Shelf Ethics and Prediction Fail
  • Prelude: The Philosophical Medallion
  • Face One: Logic and Precision – The Analytic Tradition
  • Face Two: Meaning and Situatedness – The Continental Tradition
  • A System with Two Operating Logics
  • AI as Mirror, Trickster, and Talisman
    • AI as Mirror
    • AI as Trickster
    • AI as Talisman
  • Toward a Philosophy-Aware AI Governance
  • Coda: Improvisation as Practice
• 9. From Reflection to Decision: The Missing Middle of AI Governance
  • Prelude: The Institutional Gap
  • From Epistemic Insight to Institutional Action
  • Roles Without Titles
  • Committees as Decision Functions
  • Decision Points and Irreversibility
    • Assessment
    • Procurement
    • Data
  • Escalation as a Measure of Maturity
  • Trade-offs, Risks, and Guardrails
  • Coda: Judgment Under Constraint
• 10. Readiness, Resistance, and Renewal: A Typology of Institutional AI Response
  • The AI-Forward Institution
  • The Cautiously Engaged Institution
  • The Institution on the Sidelines
  • The Institution in Contradiction
  • Conclusion: Readiness as Reflexivity
• 11. Roadmaps for Policy and Practice
  • Affirm Core Values
  • Build Institutional Literacy
  • Invest in Adaptive Governance
  • Prototype and Pilot
  • Recognize Structural Constraints
  • Conclusion: Roadmaps as Conversations
• Entangled Futures and Strategic Realities
• 12. Five Reflections for the Next Decade
  • Expect Generative AI to Become Unremarkable
  • Plan for Inequity, Not Just Innovation
  • Build Capacity for Interpretation, Not Just Compliance
  • Treat AI Policy as Educational Practice
  • Insist on the Long View
• 13. Entangled Futures: AI, Education, and the Systemic Web
  • No System Is an Island
  • The Skillful Citizen or the Thinking Worker?
  • Techno-Authoritarian Drift and Its Educational Implications
  • Digital Sovereignty and the Rise of Local AI
  • Possible Futures: A Scenario Map
• 14. The Realpolitik of AI in Higher Education
  • Pandora’s Jar and the Illusion of Control
  • From Rhetoric to Reality: Institutional Postures
  • Geopolitics and Market Dynamics
  • Strategic Ambiguity and Regulatory Lag
  • A Call for Strategic Foresight
• Appendix A: How Generative AI Works
  • Observation and Modelling
  • From Fitting to Generating
  • Scaling Up the Model
  • Training and Teaching
  • Inference and Cost
  • Conceptually Rather Simple, Technologically a Moonshot
• Appendix B: Empirical Anchors: AI, Assessment, and Institutional Response (2023–2025)
  • Purpose and Scope
  • AI and Academic Integrity
  • Assessment Redesign and the Limits of AI-Detection
  • Learning Impacts and Overreliance
  • AI Literacy and Institutional Readiness
  • Governance and International Guidance
  • Synthesis and Limits
• Bibliography
• Index
• About the Team
• This book need not end here…
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• You may also be interested in:
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