‘An incredibly accessible and well-structured guide that demystifies the use of AI in academia’ – student review
Can Generative AI help you study? Absolutely. Ready to learn how? This is the book for you.
This practical guide puts a study buddy at your fingertips, showing you how to ethically leverage Generative Artificial Intelligence as a powerful study aid. Exploring a wide spectrum of topics, from demystifying jargon and fostering critical thinking to addressing diversity, inclusion and academic integrity, this book is an essential companion for any student looking to enhance their academic skill set and succeed in their studies.
By the end of this book you will:
– Become critically literate at using Generative AI
– Understand what the ethical use of Generative AI looks like in practice
– Learn how to use Generative AI to enhance traditional study methods
– Encounter real-life case studies and worked-through examples to put theory into practice
– Gain a comprehensive grounding in how to engage with Generative AI Tools
David Meechan is a Senior Lecturer in Education and member of the Centre for Active Digital Education (CADE) at the University of Northampton. He is an active member of the AI Special Interest Group within CADE.
表中的内容
PART I: What you need to know about Generative AI
Chapter 1: Navigating the AI Landscape
Chapter 2: What can Generative AI do for your study skills?
Chapter 3: Academic Integrity and the Ethical Use of using Generative AI at University
PART II: How to support your study with Generative AI
Chapter 4: Getting started with Generative AI
Chapter 5: Using generative AI tools to support your study
PART III: How to approach your assessments with Generative AI
Chapter 6: Essays
Chapter 7: Presentations
Chapter 8: Exams
Chapter 9: E-portfolios
PART IV: How to explore feedback with Generative AI
Chapter 10: Grades and feedback
关于作者
David Meechan is the author of Generative AI for Students: The Essential Guide to Using Artificial Intelligence for Study at University. He is currently a Senior Lecturer in Education at the University of Northampton.David has worked in Higher Education in England since 2018, having previously trained and worked in a number of education related roles predominantly based within Early Childhood or Primary aspects of education. Since entering Higher Education, David has engaged with and supported a wide range of innovative approaches to teaching, learning and assessment. This has led to a natural interest in how technology, and more recently Artificial Intelligence, can be utilised in assisting students in the processes of study at university.
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