Handbook of Artificial Intelligence in Higher Education.

Format:

Book

Author/Creator:

Popenici, Stefan.

Contributor:

Popenici, Stefan

Rudolph, Jürgen.

Ismail, Fadhil

Tan, Shannon

Edward Elgar Publishing, publisher.

Series:

Elgar handbooks in education.

Elgar Handbooks in Education

Language:

English

Subjects (All):

Artificial intelligence--Educational applications.

Artificial intelligence.

Education--Effect of technological innovations on.

Education.

Physical Description:

1 online resource (998 pages)

Edition:

1st ed.

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.

Contents:

Front Matter

Copyright

Contents

List of contributors

Acknowledgements

Introduction: rethinking higher education in the Age of AI

PART I: AI and higher education: the big picture

Chapter 1: Imagining the AI-powered university of today and tomorrow

Chapter 2: Charting an AI course: a framework for higher education strategy development

Chapter 3: A human-AI co-generative framework for higher education

Chapter 4: Conceptualising artificial intelligence as an apprentice

Chapter 5: Generative AI tools in academic research: applications and implications for qualitative and quantitative research methodologies

Chapter 6: The use of artificial intelligence in higher education

Chapter 7: AI technologies and university admission systems

Chapter 8: AI in open and distance learning

PART II: Towards a critical AI literacy

Chapter 9: Analysing modern slavery statements using large language models

Chapter 10: The hidden labour in AI: Big Tech's dirty secret and the need for critical AI literacy in higher education

Chapter 11: AI in our common future: AI for sustainability education beyond the Anthropocene

Chapter 12: AI and bias: parallels and paradoxes

Chapter 13: The rise of AI: threat to graduate attributes

Chapter 14: The impact of AI on inclusive learning communities

Chapter 15: AI and disability in higher education

Chapter 16: Leveraging AI for neurodiversity inclusion in tertiary education

Chapter 17: AI in higher education as a catalyst for positive societal transformation and inclusivity

Chapter 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

PART III: Teaching, learning &amp

assessment.

Chapter 19: "Is that all there is?" Work-integrated learning educators meet GenAI: upskilling journeys to "the deep end"

Chapter 20: AI-powered pedagogy: transforming education in the Digital Age

Chapter 21: Chalkboards to chatbots: a paradigm shift in teaching and learning

Chapter 22: Rethinking learning in the era of artificial intelligence

Chapter 23: AI pedagogy: navigating doctoral education with AI-integrated teaching and learning

Chapter 24: Collusion, plagiarism, or contract cheating? How generative AI fits into existing academic integrity policies

Chapter 25: The modernisation of assessment in HE: AI as a disruptive catalyst for change

Chapter 26: Ethical and technological considerations for teaching with and about AI programs in higher education

Chapter 27: Level up: adaptive AI in serious gaming for training and assessment

PART IV: Work and employability

Chapter 28: The rise of generative AI: implications for work and learning

Chapter 29: AI and employability: transitioning from Google to GenAI

Chapter 30: Artificial intelligence in day-to-day professional practice: implications for higher education

Chapter 31: Empowering adult learners using Generative AI: unveiling the six essential pillars

PART V: Discipline- and country-specific studies

Chapter 32: Implementing AI technologies in various business subjects

Chapter 33: AI-assisted language education within Chinese higher education: a systematic review of the literature 2000-2024

Chapter 34: Exploring student perspectives on AI in higher education: a multidisciplinary analysis

Chapter 35: AI applications in initial teacher education: a systematic mapping review

Chapter 36: Responses of Japanese university and college teachers to the rise of generative AI: analysis of 2023 and 2024 syllabi.

Chapter 37: AI's transformative impact on teacher education: enhancing in-service and pre-service training

Chapter 38: Artificial intelligence and higher education in Türkiye

Chapter 39: Spotlight on emerging AI trends in international universities in the UAE

Index.

Notes:

Includes bibliographical references and index.

Description based on publisher supplied metadata and other sources.

Part of the metadata in this record was created by AI, based on the text of the resource.

ISBN:

1-03-533876-9

1-03-537966-X

9781035338764

OCLC:

1570554692