AI-Powered Transformations for Ethical Education (Paperback)

Artificial intelligence (AI) is rapidly reshaping education, offering powerful tools that can personalize learning and support educators in unprecedented ways. Yet as AI becomes more embedded in classrooms and learning systems, ethical considerations must remain central. Innovative AI technologies can be designed and implemented responsibly, ensuring they enhance learning while upholding educational values. By aligning technological advancement with ethical principles, educators and policymakers can harness AI not merely to improve efficiency, but to create trustworthiness in educational environments. AI-Powered Transformations for Ethical Education offers a roadmap for incorporating AI into moral education and decision-making in a world where technological advancements are outpacing the ability of conventional frameworks to keep up. It presents creative methods for teaching and implementing ethical ideas into practice in the digital era by analyzing the potential and problems that come with fusing AI and ethics. Covering topics such as AI, educational technology, and learning systems, this book is an excellent resource for educators, researchers, academicians, technology developers, educational institutions, and graduate researchers.

Prof. Dr. J. Sadhik Basha received his PhD in Mechanical Engineering from NIT Trichy, India, in 2011. He is currently serving as a Assistant Dean for Research & Graduate Studies at the National University of Science & Technology, Oman. His research interests include alternative fuels, thermal desalination, emulsion fuels, renewable energy, zero-emission technologies, and CCUS. He has secured externally funded research projects exceeding USD 100,000 in the area of thermal desalination, alternative fuels & renewable energy. Dr. Basha has published more than 80 research articles, holds nine patents, and serves as an expert referee, editorial / advisory board member for over 80 reputed international journals. He holds more than 50 professional memberships. He has received the Best Supervisor Awards from MEDRC, GPCA, Best Researcher Award IMCO, & multiple Best Teaching Cash Awards. He is ranked among the world’s top 2% most-cited researchers by Stanford University for 5 consecutive years (2021–2025).

Dr. Rokhsaneh Yousef Zehi is an Assistant Professor of Mathematics with an academic background in applied mathematics. She holds a bachelor’s and master’s degree in applied mathematics from the University of Sistan and Baluchestan-Iran and earned her Ph.D. in Applied Mathematics with a focus on operations research and data envelopment analysis from Universiti Sains Malaysia. Her primary research interests include Supply Chain Management, Data Envelopment Analysis, Mathematical Programming, Multiple Criteria Decision Modelling, Fuzzy Data Envelopment Analysis and Robust Optimization. She has published her work in reputable international journals, contributed to book chapters, and presented at recognized international research conferences.

Dr. Taofeek Olanrewaju Alade is an esteemed Assistant Professor of Mathematics at the National University of Science and Technology, Oman. He obtained his BSc in Mathematics from Ladoke Akintola University of Technology, Nigeria (2007), followed by an MSc in Mathemati cs from the University of Ibadan, Nigeria (2012). In recognition of his academic excellence, he was awarded a PhD scholarship at King Abdulaziz University, Saudi Arabia, where he earned his doctorate in Applied Mathemati cs (2019). With over a decade of teaching and research experience, Dr. Alade specializes in Mathematical Biology, Infectious Disease Modeling, Virus Dynamics, Optimal Control Theory, Computati onal Mathematics, Population Dynamics, and Nonlinear Dynamics. He has published extensively in high-impact journals, accumulating over 300 citations. Additionally, he is an active reviewer for several Scopus - and Web of Science-indexed journals, contributing significantly to the advancement of mathematical research.

Ahlam Mohammed Al Balushi is a PhD candidate in Information Technology, currently pursuing her doctoral studies focusing on advanced applications of artificial intelligence and data-driven solutions. She holds a master's degree in information technology from Coventry University, UK. Ahlam’s research interests include artificial intelligence, machine learning, and programming languages such as C# and Python, as well as the development of innovative computational approaches. She is passionate about academic research and is actively engaged in projects aimed at advancing knowledge and practice in the field of information technology

Khaloud Al Ajmi holds a BSc in Statistics with distinction from the University of Delaware, USA, and an MSc in Mathematical Finance from the University of York, UK. She currently works as an Assistant Lecturer in Mathematics, where she combines her academic background with a passion for teaching and applied financial mathematics. Her MSc research, titled “A Quick Algorithm for Pricing European Average Options,” reflects her interest in quantitative finance and algorithmic approaches to derivative pricing.