Handbook of artificial intelligence in higher education / edited by Stefan Popenici, (AI Researcher), Jürgen Rudolph (Murdoch University), Fadhil Ismail (Senior Lecturer, Kaplan Higher Education Academy) and Shannon Tan (Lecturer, Kaplan Higher Education Academy, Singapore).

Format:

Book

Contributor:

Popenici, Stefan, editor.

Rudolph, Jürgen, editor.

Ismail, Fadhil, editor.

Tan, Shannon, editor.

Edward Elgar Publishing, publisher.

Series:

Elgar handbooks in education

Language:

English

Subjects (All):

Education, Higher--Technological innovations.

Education, Higher.

Artificial intelligence--Study and teaching (Higher).

Artificial intelligence.

Artificial intelligence--Educational applications.

Genre:

Electronic books.

Physical Description:

1 online resource (672 pages)

Place of Publication:

Northampton : Edward Elgar Publishing, 2025.

Summary:

"This timely Handbook highlights the practical challenges and ethical considerations surrounding artificial intelligence (AI) in higher education. An international array of experts pair empirical research with real-world examples of AI implementation in teaching, learning, assessment, and administration. Bringing together critical perspectives from around the world, this state-of-the-art Handbook illustrates the practical dilemmas and ethical stakes of generative AI in lecture halls, research projects, and university governance. Contributors explore emerging trends, risks, and innovative applications of the technology in universities, proposing cutting-edge solutions to the challenges posed by AI to higher education institutions. Drawing on evidence-based scholarship, global case studies, and nuanced critique, this Handbook invites higher education stakeholders to confront AI's hidden labour and environmental costs, question its social and pedagogical biases, and leverage its opportunities. This Handbook is an essential resource for scholars and students in all areas of higher education research and policy, particularly those focused on the expanding role of AI. Administrators, institutional leaders, and policymakers will profit from its invaluable insights into policy and governance. It is also of interest to curriculum developers and teachers, due to its actionable recommendations on the optimal use of this new technology"-- Provided by publisher.

Contents:

Contents: Introduction: Rethinking higher education in the age of ai / Stefan Popenici, Jürgen Rudolph, Fadhil Ismail and Shannon Tan

Part I: AI and higher education: The big picture

1. Imagining the ai-powered university of today and tomorrow / Peter Waring

2. Charting an AI course: A framework for higher education strategy development / Rose Luckin and Ant Bagshaw

3. A human-ai co-generative framework for higher education / Bron Eager, Mitch Parsell and Toby Newstead

4. Conceptualising artificial intelligence as an apprentice / Joseph Crawford, Michael Cowling and Kelly-Ann Allen

5. Generative AI tools in academic research: Applications and implications for qualitative and quantitative research methodologies / Mike Perkins andJasper Roe

6. The use of artificial intelligence in higher education / Ebrahim Mohammadkarimi

7. AI technologies and university admission systems / Jim Faherty

8. AI in open and distance learning / Mehmet Firat Firat

Part II: Towards a critical AI literacy

9. Analysing modern slavery statements using large language models / Ser-Huang Poon, Eghbal Rahimikia, Philip Jobi Vallavanthra and Siliang Wei

10. The hidden labour in ai: Big tech's dirty secret and the need for critical AI literacy in higher education / Jürgen Rudolphvi Handbook of artificial intelligence in higher education

11. AI in our common future: Ai for sustainability education beyond the anthropocene / Eunice Tan

12. AI and bias: Parallels and paradoxes / Fadhil Ismail

13. The rise of ai: Threat to graduate attributes / Kelum A. A. Gamage and Shyama C. P. Dehideniya

14. The impact of AI on inclusive learning communities / Rachel Forsyth, Claire Hamshire, Kevwe Olomu and Elizabeth King

15. AI and disability in higher education / Sharon Kerr and Stefan Popenici

16. Leveraging AI for neurodiversity inclusion in tertiary education / Rachel van Gorp and Glenys Ker

17. AI in higher education as a catalyst for positive societal transformation and inclusivity / Maylyn Tan and Laura Visser Kaldenbach

18. AI at the crossroads: Between the free play of forces, regulation, and control? Dispositives of artificial intelligence governance and discursive organizing in higher education / Susanne Maria Weber and Marc-André Heidelmann

Part III: Teaching, learning assessment

19. "is that all there is?" work-integrated learning educators meet genai: Upskilling journeys to "'the deep end"' / Martin Andrew and Beate Mueller

20. Ai-powered pedagogy: Transforming education in the digital age / Diane Kalendra, Sumesh Nair, Mingwei Sun, Tareq Rasul, Wagner Junior Ladeira and Fernando de Oliveira Santini

21. Chalkboards to chatbots: A paradigm shift in teaching and learning / Augustine Osamor Ifelebuegu

22. Rethinking learning in the era of artificial intelligence / Khalid A. Khan

23. AI pedagogy: Navigating doctoral education with ai-integrated teaching and learning / Weina Li Chen and Samaa Haniya

24. Collusion, plagiarism, or contract cheating? How generative AI fits into existing academic integrity policies / Miriam Sullivan

25. The modernisation of assessment in he: AI as a disruptive catalyst for change / Athanasios Hassoulas

26. Ethical and technological considerations for teaching with and about AI programs in higher education / Laura Dumin

27. Level up: Adaptive AI in serious gaming for training and assessment / Kevin Yi-Lwern Yap, William Siew and Bina Rai

Part IV: Work and employability

28. The rise of generative ai: Implications for work and learning / Samson Tan

29. AI and employability: Transitioning from google to genai / Michael Choy

30. Artificial intelligence in day-to-day professional practice: Implications for higher education / Margaret Bearman, Sarah Howard and Sarah Caouette Sarah Caouette

31. Empowering adult learners using generative ai: Unveiling the six essential pillars / Michael Agyemang Adarkwah

Part V: Discipline- and country-specific studies

32. Implementing AI technologies in various business subjects / Nurhafihz Noor, Lance DuBos, Sook Rei Tan and Kim-Lim Tan

33. Ai-assisted language education within Chinese higher education: A systematic review of the literature 20 00-2024 / Junmin Xiao and Fiona Xiaofei Tang

34. Exploring student perspectives on AI in higher education: A multidisciplinary analysis / Sin Manw Sophia Lam, Wai Yin Koey Chung, Wing Tung Michelle Cheng and Gary Cheng

35. AI applications in initial teacher education: A systematic mapping review / Melissa Bond, Emily Oxley and Lydia Lymperis

36. Responses of Japanese university and college teachers to the rise of generative ai: Analysis of 20 23 and 20 24 syllabi / Takeru Mashino

37. Ai's transformative impact on teacher education: Enhancing in-service and pre-service training / Lucas Kohnke

38. Artificial intelligence and higher education in türkiye / Begum Burak

39. Spotlight on emerging AI trends in international universities in the uae / Faiza Qureshi and Eugene Pribytkov.

Notes:

Includes bibliographical references and index.

Description based on print record.

ISBN:

9781035338764 (e-book)

Access Restriction:

Restricted for use by site license.