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Featuring real-world examples and ethical guidance, the authors demystify prompt engineering, showing you how to craft effective prompts, streamline research, generate teaching materials, and foster creativity in both classroom and scholarly settings. With a focus on responsible management and quality education, chapters not only equip you with future-proof skills but also address the ethical considerations of AI in education.
Discover how to boost productivity, maintain academic integrity, and stay ahead in a rapidly evolving digital landscape.
I've been using tools such as ChatGPT and Copilot in my teaching and research for some time, and I can honestly say this book is one I wish I'd had sooner. Enhancing Teaching and Research with AI: Techniques in LLM Prompt Engineering is the practical guide lecturers and researchers have been waiting for.
The authors have done an excellent job of focusing on the everyday realities of academic life. They show you how to craft prompts that deliver results, whether you're generating research questions, designing assessments and exams, summarising papers quickly, or creating teaching materials. The step-by-step advice and real-world examples make it easy to apply them straight away, and the sections on iteratively refining prompts and automating routine tasks are particularly strong.
What I appreciated most is that they don't just celebrate the technology. They give proper attention to academic integrity and the ethical use of AI, which feels balanced and thoughtful in today's context.
This is the sort of book that will save people a lot of time and frustration. I'll be recommending it to my colleagues and research students.
— Anthony Stevenson, Associate Professor of Accounting and Finance Heriot-Watt University, Dubai
If you’re curious about how generative AI can truly transform your academic work, this book is an inspiring place to start. It brings prompt engineering to life as a powerful scholarly skill, showing how the right questions and instructions can unlock deeper, more meaningful AI-driven insights. At the same time, it affirms the agency of scholars, reminding us that academics remain in control as critical thinkers, creative designers, and responsible knowledge-makers.
Blending practical guidance with a fresh perspective, the book shows how to harness GenAI to enrich teaching, elevate research, and simplify everyday tasks while maintaining intellectual rigor and originality. Engaging, insightful, and highly relevant, it is a must-read for anyone who wants to use AI not just effectively, but thoughtfully and creatively in today’s academic world.
— Anuragini Shirish, Université Paris-Saclay, Univ Evry, IMT-BS, LITEM, 91025, Evry-Courcouronnes, France
This book is an invaluable tool for academics as we negotiate how to teach and research as effectively as possible in the age of generative AI. With clearly explained concepts and useful examples, the authors make the integration of LLMs accessible across a wide range of disciplines. This book is a must-read for anyone using large-language models who wants to be better at and more efficient with this type of work.
— Danielle Sarver Coombs, Ph.D. Ravensbourne University London
Sinha, Chandra, and Waghmare have created something which is a need of the hour, a resource that is both thorough and easy to use. Their step-by-step approach to prompt engineering, from writing first prompts to refining them, reflects how effective teaching happens. It's a guide for both novices and experts using AI tools in teaching.
The chapter on automation by itself could help a busy lecturer save several hours each week. The section on ethics is also one of the most straightforward and realistic discussions about academic integrity and AI that I have seen in print.
It is not about AI replacing what we do. Rather, their message is far more powerful and, in fact, liberating; by learning to pose better questions with these tools, we will become stronger researchers and educators. The concept that prompt engineering is critical thinking is something that I will take into my own classes.
The success in academia in the coming decades would not be determined by who knew the most about artificial intelligence, but by who started working with it early enough. This book can give you this advantage.
— Dr. Sandhya Prakash, Associate Professor-Finance and Data Analysis, SP Jain School of Global Management, Singapore
This timely and highly relevant book offers a much-needed bridge between rapidly evolving AI technologies and their practical application in academia. By focusing on prompt engineering for lecturers and researchers, the authors provide clear, structured, and actionable guidance on how to effectively leverage large language models to enhance teaching, streamline research processes, and improve academic productivity.
What distinguishes this book is its strong academic orientation combined with practical utility. Drawing on real-world examples and structured approaches, it empowers educators and scholars to design meaningful prompts that improve learning experiences, support research development, and foster innovation. The emphasis on ethical considerations and responsible AI use further strengthens its value in today’s academic environment.
This book will be highly beneficial for lecturers, researchers, and postgraduate students seeking to integrate AI into their workflows in a rigorous and impactful manner. It is a valuable contribution to the growing field of AI-enabled education and research.
— Tristan Chong, PhD, Professor and Area Head of Marketing, SP Jain School of Global Management
Ekta Sinha is Lecturer at the School of Business, Regent's University, London, UK.
Shalini Chandra is Full Professor at S P Jain School of Global Management, Singapore.
Charles David Waghmare is an Information Management Specialist at Shell, Bangalore, India. He has over 15 years of experience in the IT, engineering, and energy sectors.
Chapter 1. Introduction of Gen AI and Prompt Engineering for Lecturers and Researchers
Chapter 2. Crafting Effective Prompts: Thinking with Machines Not Just Talking to Them
Chapter 3. Iterative Refinement and Prompt Optimization
Chapter 4. Automation Using Prompt Engineering
Chapter 5. Prompt Engineering for Academics: Real-World Application
Chapter 6. Balancing Innovation and Academic Integrity