The convergence of End-User Development (EUD) and Generative Artificial Intelligence (GenAI) ushers in a transformative era in which creators and consumers are no longer sharply divided, and users are empowered to innovate as never before. Unleashing User Innovation: Multidisciplinary Perspectives on End-User Development and Generative AI explores this dynamic intersection by bringing together diverse perspectives to highlight how these technologies are reshaping how we interact, learn, and innovate.
With the perspective that new challenges require user-driven solutions, the book explores how EUD allows non-technical users to adapt and create tools for their needs, while GenAI infuses the creative capability for creating human-like output, from natural language to multimedia. Together, EUD and GenAI can allow the democratization of innovation and open unimagined possibilities. The book:
Traces the evolution of EUD with an overview of the tools designed for chatbot development.
Examines the educational landscape and shows how GenAI empowers educators to use AI as consumers and collaborators in shaping educational futures.
Presents state-of-the-art applications of GenAI in personalizing education to improve comprehension and support special education.
Explores the versatility of GenAI applications in tourism and immersive experiences, public health, and financial systems.
Covers major ethical, policy, and global considerations driving responsible AI deployment.
By exploring the intersection of diverse fields, the book reveals how generative AI empowers individuals engaged in end-user development to unlock their creative potential. It emphasizes the role of generative AI in enabling these developers to create innovative software solutions effectively. With a focus on cutting-edge advancements, the book showcases how the integration of generative AI fosters a collaborative environment that bridges the gap between technical and non-technical users, thereby democratizing development and fostering innovation.
End-user development (EUD) is creating or modifying software by end users, typically non-programmers. EUD has become popular in recent years due to the rise of user-friendly low-code software development tools and the growing demand for custom software solutions by nonprogrammers. This book provides an overview of the latest trends in EUD.
I. The Rise of EUD and GenAI: Setting the Stage.
1. End-User
Development: History, Classification, and Applications.
2. An Overview of
End-User Development Tools for Building Chatbots. II. Empowering Educators
with Prompt Engineering and GenAI
3. Employing Generative AI in Education: A
Prompt Engineering Approach to Develop AI Literacy for Educators and
Students.
4. AI-Enhanced Professional Development: Transforming Teaching
Practices and Methodologies.
5. From Theory to Practice: Enhancing GenAI
Fluency with Insights from Instructors Reflections. III. Transforming
Learning with GenAI
6. Enhancing Academic Feedback Through GenAI Prompt
Engineering.
7. Optimizing Educational Resource Creation: A Comparative Study
of ChatGPT and Google Gemini for Text Adaptation.
8. Text to Mind Map:
Automated AI-based Conception for Effective Learning and Comprehension.
9.
Enhancing Personalized Learning with Integrated Question Answering and
Question Generation.
10. Revolutionizing Tutoring with Retrieval-Augmented
Generation (RAG).
11. The Potential of Generative AI in Special Education: A
Review of Applications and Impact. IV. Expanding Horizons: Applications of
GenAI Across Industries
12. How Personalized Learning Can Bring Equity and
Digital Inclusion in Education.
13. Exploring the Role of Generative AI for
Immersive Experiences.
14. Generative AI Applications in the Tourism
Industry: Opportunities and Challenges.
15. NLP and Prompt Engineering for AI
Chatbots.
16. Predicting Adult Obesity Prevalence in Missouri Using Satellite
Imagery and Deep Learning: A Multidisciplinary Approach to End-User
Development and Prompt-Driven Innovation.
17. User Innovation and Generative
AI in Public Health: Analyzing COVID- V. Ethics, Policy, and Global
Perspectives of EUD and GenAI. 19 Data in Boone County, Missouri, with
AI-Driven Prompts for Enhanced Community Safety.
18. End User Development for
Mobile Money System: A Socio-Technical Perspective.
19. Punctuated
Equilibrium: Exploring Public Attitudes Towards Artificial Intelligence
Across 35 Countries.
20. GenAI and Ethics: A proposed approach for ethical
development and Utilization of ChatGPT in Education.
21. Ethical
Considerations in the Deployment of Generative AI Technologies.
Dr. Mohammad Amin Kuhail is a researcher in human-computer interaction, end-user development, and IT education. He has authored more than 30 publications.
Dr. Mostafa Mohamad is an associate professor of Digital Innovation and Analytics at Zayed University, UAE, and at Newcastle Business School.
Dr. Rawad Hammad is a co-director for Smart Health Centre, Programme Leader for MSc Computing Course, and MSc Digital Education Course, Technology Enhanced Learning Research Group Leader, and a senior lecturer in Computer Science and Digital Technologies at the University of East London.
Dr. Mohammed Bahja is a lecturer in computer science at the University of Birmingham. His research interest is in data science for healthcare applications, including natural language processing for capturing patients' experience of the NHS, crime detection, and other horizon scanning applications.
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