eBook - ePub
Artificial Intelligence Applications in Higher Education
Theories, Ethics, and Case Studies for Universities
- 318 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Artificial Intelligence Applications in Higher Education
Theories, Ethics, and Case Studies for Universities
About this book
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.
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Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Artificial Intelligence Applications in Higher Education by Helen Crompton,Diane Burke in PDF and/or ePUB format, as well as other popular books in Education & Education Technology. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover
- Half-Title Page
- Title Page
- Copyright Page
- Table of Contents
- Contributors
- 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
- Index