1st Edition
Unleashing User Innovation Multidisciplinary Perspectives on End-User Development and Generative AI
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.
I. The Rise of EUD and GenAI: Setting the Stage
1. End-User Development: History, Classification, and Applications
Mohammad Amin Kuhail, Aymen Zekeria, and Nida Mubeen
2. An Overview of End-User Development Tools for Building Chatbots
Mohammad Amin Kuhail and Ibrahim Omer Abdela
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
Areej ElSayary and Mohammad Amin Kuhail
4. AI-Enhanced Professional Development: Transforming Teaching Practices and Methodologies
Dima Jamal Eddin and Nessrin Shaya
5. From Theory to Practice: Enhancing GenAI Fluency with Insights from Instructors’ Reflections
Aizhan Shomotova, Areej ElSayary, and Salwa Husain
6. Enhancing Academic Feedback through GenAI Prompt Engineering
Anna Tarabasz and Aizhan Shomotova
III. Transforming Learning with GenAI
7. Optimizing Educational Resource Creation: A Comparative Study of ChatGPT and Google Gemini for Text Adaptation
Larysa Nikolayeva
8. Text to Mind Map: Automated AI-Based Conception for Effective Learning and Comprehension
Chaya Vijaykumar, Ashika Karanth, Chandana C., and M. S. Bhargavi
9. Enhancing Personalized Learning with Integrated Question Answering and Question Generation
Pranjal Surana, Prakrithi V., Javeeria Muskan F., Saaima Nishat, M. S. Bhargavi
10. Revolutionizing Tutoring with Retrieval-Augmented Generation (RAG)
Dipti Pawar
11. The Potential of Generative AI in Special Education: A Review of Applications and Impact
Mohammed Bahja, Rawad Hammad, Amina Alkazemi, and Zahra Alhabsi
12. How Personalized Learning Can Bring Equity and Digital Inclusion in Education
Rafida Zaman
IV. Expanding Horizons: Applications of GenAI Across Industries
13. Exploring the Role of Generative AI for Immersive Experiences
Janardan Krishna Yadav and Fandi Omeish
14. Generative AI Applications in the Tourism Industry: Opportunities and Challenges
Samar Abdalla, Yu-Lun Liu, Mohamed Sobhy Temerak, and Han-Ling Jiang
15. NLP and Prompt Engineering for AI Chatbots
Syed Jawad Hussain Shah
16. Predicting Adult Obesity Prevalence in Missouri Using Satellite Imagery and Deep Learning: A Multidisciplinary Approach to End-User Development and Prompt-Driven Innovation
Butros M. Dahu, Mariam Alshehri, Imad Eddine Toubal, and Grant J. Scott
17. User Innovation and Generative AI in Public Health: Analyzing COVID-19 Data in Boone County, Missouri, with AI-Driven Prompts for Enhanced Community Safety
Butros M. Dahu, Mariam Alshehri, Imad Eddine Toubal, and Grant J. Scott
18. End User Development for Mobile Money System: A Socio-technical Perspective
Mostafa Mohamad and Dababrata Chowdhury
V. Ethics, Policy, and Global Perspectives of EUD and GenAI
19. Punctuated Equilibrium: Exploring Public Attitudes towards Artificial Intelligence across 35 Countries
Justin Thomas, Yasmin Al Jedawi, Fahad Al Beyahi, and Mamun Rashid
20. GenAI and Ethics: A Proposed Approach for Ethical Development and Utilisation of ChatGPT in Education
Alaa Hammad, Rawad Hammad, and Mohammed Bahja
21. Ethical Considerations in the Deployment of Generative AI Technologies
Mohammed Bahja, Rawad Hammad, Suad Mohammed Al Araimi, and Zahra Alhabsi
Biography
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.
