GenAI in Higher Education: Ethical Frontiers, Challenge and Sustainable Pathways fills a critical gap in discussing generative AI’s ethical impact on higher education. With AI adoption accelerating, the book provides a resource that offers clear, actionable guidance on implementing AI responsibly, focusing on academic integrity, fairness, and governance. It helps to ensure that AI is a tool for inclusive, transparent, and sustainable learning.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. Contributors - p. xix 7. Foreword - p. xxiii 8. Chapter 1. Reimagining academic publications: A meta-model for scholarly writing with large language models - p. 1 9. Chapter 2. Embedding ethical generative AI in higher education: Applying FAIRSPOT and TPACK-AI integrator frameworks - p. 13 10. Chapter 3. Applications, challenges and opportunities of AI integration in STEM education - p. 31 11. Chapter 4. Navigating the dark side of AI in academia: Case studies and strategies for ethical safeguards - p. 49 12. Chapter 5. AI-assisted learning in research education: Considerations for ethical integration of digital pedagogy to develop and refine research problem statements - p. 65 13. Chapter 6. Artificial intelligence in higher education: Insights from a bibliometric perspective - p. 81 14. Chapter 7. The international AI talent pipeline: How US historically black colleges and universities can promote African workforce development - p. 93 15. Chapter 8. Befriending the technological hydra: Ethical AI navigation in teacher education - p. 107 16. Chapter 9. Bridging policy and practice in competency-based education—aligning with education agenda 2030 - p. 125 17. Chapter 10. How can AI literacy work in tandem with decolonization efforts to produce more equitable educational outcomes? - p. 147 18. Chapter 11. Human-centered and responsible AI: emphasizing transparency, accountability, and inclusivity in educational systems - p. 171 19. Chapter 12. Generative AI in curriculum design: Advancing or undermining decolonization efforts? - p. 187 20. Chapter 13. The value of oral assessments in a postplagiarism era - p. 203 21. Chapter 14. Global perspectives on generative AI in higher education: Comparative analysis of ethical adoption, policy, and stakeholder roles - p. 219 22. Chapter 15. Rethinking assessment in the age of AI: Towards authentic and AI-resilient practices - p. 237 23. Chapter 16. Ethical challenges of generative AI in academia: Addressing misuse through policy and practice - p. 255 24. Chapter 17. The African technological puzzle: Decolonization, AI and education - p. 269 25. Chapter 18. Socially responsive teaching strategies and AI: Three academic developers' insider perspectives - p. 285 26. Chapter 19. The perks and perils of artificial intelligence on the digital divide - p. 301 27. Chapter 20. Redefining instructor roles and responsibilities in the era of generative AI - p. 313 28. Chapter 21. A synthesis of the applications and implications of AI in STEM education—Scope for the future - p. 329 29. Chapter 22. A framework to enhance ethical generative artificial intelligence use in academia - p. 343 30. Chapter 23. An ethical code of conduct: Inculcating Gen-AI ethics into the everyday learner - p. 357 31. Chapter 24. From tutor to test: A new framework for AI literacy that preserves critical thinking - p. 373 32. Chapter 25. Mind the gap: Practice-based insights on bridging the digital divide through accessible and intentional generative artificial intelligence integration - p. 393 33. Chapter 26. Ethical integration of generative AI (GAI) in higher education - p. 413 34. Index - p. 443
GenAI in Higher Education: Ethical Frontiers, Challenge and Sustainable Pathways fills a critical gap in discussing generative AI’s ethical impact on higher education. With AI adoption accelerating, the book provides a resource that offers clear, actionable guidance on implementing AI responsibly, focusing on academic integrity, fairness, and governance. It helps to ensure that AI is a tool for inclusive, transparent, and sustainable learning.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. Contributors - p. xix 7. Foreword - p. xxiii 8. Chapter 1. Reimagining academic publications: A meta-model for scholarly writing with large language models - p. 1 9. Chapter 2. Embedding ethical generative AI in higher education: Applying FAIRSPOT and TPACK-AI integrator frameworks - p. 13 10. Chapter 3. Applications, challenges and opportunities of AI integration in STEM education - p. 31 11. Chapter 4. Navigating the dark side of AI in academia: Case studies and strategies for ethical safeguards - p. 49 12. Chapter 5. AI-assisted learning in research education: Considerations for ethical integration of digital pedagogy to develop and refine research problem statements - p. 65 13. Chapter 6. Artificial intelligence in higher education: Insights from a bibliometric perspective - p. 81 14. Chapter 7. The international AI talent pipeline: How US historically black colleges and universities can promote African workforce development - p. 93 15. Chapter 8. Befriending the technological hydra: Ethical AI navigation in teacher education - p. 107 16. Chapter 9. Bridging policy and practice in competency-based education—aligning with education agenda 2030 - p. 125 17. Chapter 10. How can AI literacy work in tandem with decolonization efforts to produce more equitable educational outcomes? - p. 147 18. Chapter 11. Human-centered and responsible AI: emphasizing transparency, accountability, and inclusivity in educational systems - p. 171 19. Chapter 12. Generative AI in curriculum design: Advancing or undermining decolonization efforts? - p. 187 20. Chapter 13. The value of oral assessments in a postplagiarism era - p. 203 21. Chapter 14. Global perspectives on generative AI in higher education: Comparative analysis of ethical adoption, policy, and stakeholder roles - p. 219 22. Chapter 15. Rethinking assessment in the age of AI: Towards authentic and AI-resilient practices - p. 237 23. Chapter 16. Ethical challenges of generative AI in academia: Addressing misuse through policy and practice - p. 255 24. Chapter 17. The African technological puzzle: Decolonization, AI and education - p. 269 25. Chapter 18. Socially responsive teaching strategies and AI: Three academic developers' insider perspectives - p. 285 26. Chapter 19. The perks and perils of artificial intelligence on the digital divide - p. 301 27. Chapter 20. Redefining instructor roles and responsibilities in the era of generative AI - p. 313 28. Chapter 21. A synthesis of the applications and implications of AI in STEM education—Scope for the future - p. 329 29. Chapter 22. A framework to enhance ethical generative artificial intelligence use in academia - p. 343 30. Chapter 23. An ethical code of conduct: Inculcating Gen-AI ethics into the everyday learner - p. 357 31. Chapter 24. From tutor to test: A new framework for AI literacy that preserves critical thinking - p. 373 32. Chapter 25. Mind the gap: Practice-based insights on bridging the digital divide through accessible and intentional generative artificial intelligence integration - p. 393 33. Chapter 26. Ethical integration of generative AI (GAI) in higher education - p. 413 34. Index - p. 443
