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- Title: GenAI in Higher Education: Redefining Teaching and Learning
- Author(s) Sam Illingworth, Rachel Forsyth, Paul Ashwin, Margaret Blackie
- Publisher: Bloomsbury Academic (2026); eBook (Creative Commons Licensed)
- License(s): Creative Commons License (CC)
- Paperback: 152 pages
- eBook: PDF and Read Online
- Language: English
- ISBN-10/ASIN: 1350535788
- ISBN-13: 978-1350535787
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This open access book provides practical guidance for higher education professionals looking to use Generative Artificial Intelligence (GenAI) technologies. Blending theoretical grounding with real-world examples and case studies, it gives step-by-step guidance on how to evaluate, select, and implement GenAI technologies in teaching, learning, assessment, and student support.
About the Authors- Paul Ashwin is Professor of Higher Education at Lancaster University, UK.
- Artificial Intelligence (AI)
- Machine Learning
- Neural Networks and Deep Learning
- Robotics and Robot Programming
- GenAI in Higher Education: Redefining Teaching and Learning (Sam Illingworth, et al.)
- Book Homepage (Read Online, etc.)
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Generative AI in Higher Education: The ChatGPT Effect
Provide a comprehensive examination of the use and impact of ChatGPT and Generative AI (GenAI) in higher education. Introduce the Six Assessment Redesign Pivotal Strategies (SARPS) and an AI Assessment Integration Framework.
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Designing Instruction with Generative AI (Brent A. Anders)
This open access book offers a novel set of tools and strategies for leveraging Generative AI (GenAI) to create engaging and personalized learning experiences, equips with step-by-step directions on how freely accessible artificial intelligence software.
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Generative AI for Beginners (Akshay Kulkarni, et al.)
This book provides a deep dive into the world of generative AI, covering everything from the basics of neural networks to the intricacies of large language models like ChatGPT and Google Bard.
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Art Intelligence: How Generative AI Relates to Human Art-Making
What impact will Generative AI (GenAI) have on how we create art and how we understand what art is for? How will it affect the role of the artist in the future and the conditions under which artists will work?
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Generative AI on Kubernetes: Operationalizing LLMs
Generative AI is revolutionizing industries, Kubernetes becomes the backbone for deploying and managing these workloads. This book serves as a practical, hands-on guide to combine AI innovation with the power of cloud native infrastructure.
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Generative AI Applications: Planning, Design and Implementation
This book is your indispensable guide through Generative AI. Launch your Generative AI application from idea to implementation. Understand the various options and trade-offs in using LLMs for applications.
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Generative AI in C++: Coding Transformers and LLMs
Do you know C++ but not AI? Do you dream of writing your own AI engine in C++? From beginner to advanced, this book covers the internals of AI engines in C++, with real source code examples and research paper citations.






