Artificial Intelligence Applications in Higher Education

Theories, Ethics, and Case Studies for Universities
1. Auflage 2024
ISBN: 978-1-032-57614-5
Verlag: Taylor & Francis

Buch, Englisch, 358 Seiten, Format (B × H): 149 mm x 226 mm, Gewicht: 530 g

Artificial Intelligence Applications in Higher Education offers direct examples of how artificial intelligence systems can be applied in today’s higher education contexts. As the use of AI rapidly advances within colleges and universities worldwide, there is a pressing need to showcase the challenges, opportunities, and ethical considerations that are inherent in deploying these advanced computational tools. This book highlights the multifaceted roles of AI across teaching and learning, institutional administration, student data management, and beyond. Its collected case studies furnish actionable insights into enhancing academic institutions and addressing diverse learning priorities, such as motivation, engagement, feedback, and achievement goals. This valuable reference for researchers, designers, administrators, teaching faculty, and graduate students across various university programs offers fresh perspectives on generative AI, adaptive learning, intelligent tutoring systems, chatbots, predictive technologies, remote learning, and more.

Zielgruppe

Postgraduate, Professional Practice & Development, Professional Reference, and Professional Training

Autoren/Hrsg.

Crompton, Helen

Burke, Diane

Fachgebiete

• Sozialwissenschaften Pädagogik Schulen, Schulleitung Universitäten, Hochschulen
• Sozialwissenschaften Pädagogik Schulen, Schulleitung Privatschulen, alternative Schulformen
• Sozialwissenschaften Pädagogik Lehrerausbildung, Unterricht & Didaktik E-Learning, Bildungstechnologie

Inhaltsverzeichnis

1. Exploring the Impact and Integration of Artificial Intelligence in Higher Education 2. AI Integration in Higher Education: A Multidisciplinary Bibliometric Review of Technological Applications for Enhanced Learning and Institutional Growth 3. The Ethical Implications of Generative Artificial Intelligence on Students, Academic Staff, and Researchers in Higher Education 4. How Artificial Intelligence (AI) Plays a Role in Measuring Student Engagement in Higher Education 5. Empowering Tomorrow's Minds: A Comprehensive Framework for Teaching Non-Technical Students to Think Critically about AI 6. Learning with Socrates: How Generative AI and Ancient Pedagogy Can Develop Students’ Critical Thinking Skills 7. Generative Artificial Intelligence as Epistemic Authority? Perspectives from Higher Education 8. Using AI-Writers to Support Online Course Development 9. Exploring the Challenges Posed to Academic Integrity and Credentialing by Generative AI 10. Stepping into the Future: Can ChatGPT Grade Essays as Well as (or Better than) Humans? 11. A Higher Education Intervention to Promote Artificial Intelligence Literacy in the Healthcare Workforce 12. Implementation and Evaluation of GenAI-Aided Tools in a UK Further Education College 13. Supporting Engineering Project-Based Learning through the Use of ChatGPT and Generative AI: A Case Study 14. Test Case Study of ChatGPT in Introductory Quantum Mechanics 15. Amplifying Student Voice through AI: Textual Analysis of Student Discourse in UK Higher Education 16. Integrating AI Literacy into Higher Education: A Practical Framework 17. Leading an Institutional Response to Artificial Intelligence and Its Impact on Academic Work 18. Navigating the Future: Reflections on AI in Higher Education

Über Autor(innen)

Helen Crompton is Executive Director of the Research Institute of Digital Innovation in Learning at ODUGlobal and Professor of Instructional Technology at Old Dominion University, USA.

Diane Burke is Senior Research Associate at the Research Institute of Digital Innovation in Learning at ODUGlobal and Professor Emerita and former Chair of Education at Keuka College, USA.