Chan and Colloton’s book is one of the first to provide a comprehensive examination of the use and impact of ChatGPT and Generative AI (GenAI) in higher education.
Since November 2022, every conversation in higher education has involved ChatGPT and its impact on all aspects of teaching and learning. The book explores the necessity of AI literacy tailored to professional contexts, assess the strengths and weaknesses of incorporating ChatGPT in curriculum design, and delve into the transformation of assessment methods in the GenAI era. The authors introduce the Six Assessment Redesign Pivotal Strategies (SARPS) and an AI Assessment Integration Framework, encouraging a learner-centric assessment model. The necessity for well-crafted AI educational policies is explored, as well as a blueprint for policy formulation in academic institutions. Technical enthusiasts are catered to with a deep dive into the mechanics behind GenAI, from the history of neural networks to the latest advances and applications of GenAI technologies.
With an eye on the future of AI in education, this book will appeal to educators, students and scholars interested in the wider societal implications and the transformative role of GenAI in pedagogy and research.
Conditions of Use
This book is licensed under a Creative Commons License (CC BY-NC-SA). You can download the ebook Generative AI in Higher Education for free.
- Title
- Generative AI in Higher Education
- Subtitle
- The ChatGPT Effect
- Publisher
- Routledge
- Author(s)
- Cecilia Ka Yuk Chan, Tom Colloton
- Published
- 2024-03-21
- Edition
- 1
- Format
- eBook (pdf, epub, mobi)
- Pages
- 260
- Language
- English
- ISBN-10
- 1032599049
- ISBN-13
- 9781032599045
- License
- CC BY-NC-SA
- Book Homepage
- Free eBook, Errata, Code, Solutions, etc.
Cover Endorsement Page Half Title Title Page Copyright Page Dedication Table of Contents List of Figures List of Tables Author Biographies Prologue Acknowledgments Short Summary of Each Chapter Chapter 1: Introduction to Artificial Intelligence in Higher Education Chapter 2: AI Literacy Chapter 3: Strengths and Weaknesses in Embracing ChatGPT in Curriculum Design Chapter 4: Redesigning Assessment in the AI Era Chapter 5: Developing an AI in Education Policy Chapter 6: Technology Behind GenAI Chapter 7: The Future of AI in Education Chapter 1: Introduction to Artificial Intelligence in Higher Education 1.1 Introduction 1.2 Artificial Intelligence (AI) 1.3 Big Data and the Internet of Things (IoT) 1.4 Generative Artificial Intelligence (GenAI) 1.5 ChatGPT – A Game Changer in Education? 1.6 Generative AI Concerns and Challenges 1.7 How Does ChatGPT Work? 1.8 How does GenAI Generate Images from Text? 1.9 Conclusions References Chapter 2: AI Literacy 2.1 Introduction 2.2 The Importance of AI Literacy 2.3 Literacy in the Digital World 2.4 AI Literacy Frameworks 2.5 The Definition of AI Literacy 2.6 Advantages and Disadvantages of Developing AI Literacy 2.7 Conclusions References Chapter 3: Strengths and Weaknesses in Embracing ChatGPT in Curriculum Design 3.1 Introduction 3.2 ChatGPT and GenAI Text Tools 3.3 GenAI Tools and Its Strengths and Potential Opportunities in Higher Education 3.4 GenAI Tools and its Weaknesses and Potential Threats in Higher Education 3.5 AI-Partnered Pedagogy through the Lens of Bloom’s Taxonomy 3.6 Redesigning Pedagogical Activities with GenAI 3.7 Case Scenarios Embracing ChatGPT into the Higher Education Classroom 3.8 Introduction to Prompt Engineering 3.9 Conclusions References Chapter 4: Redesigning Assessment in the AI Era 4.1 Introduction 4.2 The Evolution of Assessment and Outcomes-Based Learning in Higher Education 4.3 Challenges in Assessment in the Traditional Era 4.4 Challenges in Assessment in the GenAI Era 4.5 Redesigning Assessment with GenAI 4.6 AI Assessment Integration Framework 4.7 GenAI Text Detection 4.8 Conclusions References Chapter 5: Developing an AI in Education Policy 5.1 Introduction 5.2 Are There Similar Laws for ChatGPT and GenAI? 5.3 AI Policy Around the World 5.4 AI Policy in Education 5.5 Research Findings from the Perception of Students, Teachers and Staff on GenAI in Education Policy in Hong Kong 5.6 Devising an AI Policy in Higher Education 5.7 Conclusions References Chapter 6: Technology Behind GenAI 6.1 Introduction 6.2 The History 6.3 Creating a Model 6.4 Models and Ecosystems 6.5 State-of-the-Art Models Overview 6.6 Conclusions References Chapter 7: The Future of Artificial Intelligence in Education 7.1 Introduction 7.2 Previous Technology Adoption 7.3 Predictions on General GenAI Implications 7.4 Predictions on GenAI’s Implications in Higher Education 7.5 Can AI or GenAI Predict the Future? 7.6 Conclusion References Index
