Table of Contents:
  • Preface
  • Chapter 1. Clicks, Stress, and Success: Do Digital Habits and Social Factors Really Shape Students' Academic Performance?
  • Chapter 2. Global North-South's Diverging Potentials of AI in Higher Education: Innovation vs. Digital Divide
  • Chapter 3. Posthuman Textualities and Imagination: AI, Digital Literature, and the Ethics of Literary Learning
  • Chapter 4. Integrating AI Into Literature Review Practices
  • Chapter 5. Textualizing Cyber-Consciousness and AI-Integration in Sci-Fi Fiction: Mapping the Mind in the Amazon Prime Series Update
  • Chapter 6. The Cybersociology of Learning as Human-AI Partnerships in the Teaching of Political Education
  • Chapter 7. The Future of the AI University: From Mass Education to a Curated Knowledge Economy
  • Chapter 8. Using Generative AI at University: The Case of a Project-Based Learning Course
  • Chapter 9. Applications of AI in Educational Research
  • Chapter 10. Accurate or Artificial?: Comparing AI and Human Peer Review Feedback
  • Compilation of References
  • About the Contributors
  • Index.