1st Edition
Quantum Learning Bridging Artificial Intelligence, Quantum Computing, and Data Science in Education
About the Editors
Contributors
Preface
Chapter 1: An Innovative Teaching Model through YouTube to Foster Undergraduate Students' Learning Outcomes and Critical Thinking Skills – Ahmad Al Yakin, Muthmainnah, and Ahmed J. Obaid.
Chapter 2: The Quantum Shift in Education: A New Learning Paradigm – Pawan Whig and Anumaan Whig.
Chapter 3: Foundations of Quantum Computing for Educators and Learners – Ashima Bhatnagar Bhatia.
Chapter 4: AI in Education: Past, Present, and the Quantum Future – Chakradhar Bandla and Anupriya Jain.
Chapter 5: Integrating Data Science in Educational Curricula – Pavika Sharma.
Chapter 6: Quantum Machine Learning: Concepts and Classroom Applications – Iti Batra.
Chapter 7: Next-Gen Pedagogy: Merging AI and Quantum Models – Lakshman Pradeep Reddy Vangala and Sonia Duggal.
Chapter 8: Ethical Implications of Quantum and AI in Education – Devkiran Narayana and Suhail Javed.
Chapter 9: Personalized Learning Powered by Quantum Algorithms – Sachin Sharma.
Chapter 10: Quantum-Inspired Learning Analytics and Student Behavior Modeling – Seema Sharma.
Chapter 11: Simulating Quantum Environments for Classroom Learning – Ashima Bhatnagar Bhatia and Pawan Whig.
Chapter 12: Data-Driven Decision-Making in Educational Institutions – Sakshi Khullar and Pawan Whig.
Chapter 13: AI Tutors and Quantum-Classroom Assistants: A New Era of Teaching – Disha Thakran, Ronak Markus Toppo, and Sachin Sharma.
Chapter 14: Gamifying Education with Quantum Logic and AI Tools – Anumaan Whig.
Chapter 15: Smart Assessment Systems: AI Meets Quantum Predictive Power – Pawan Whig.
Chapter 16: Balancing Technology and Trust: The Impact of Health Information Technology on Data Security and Patient Confidence in Healthcare – Rishita Masiwal, Nikita, Deepali Kamthania, and Shailee Bhatia.
Chapter 17: The Role of Quantum Computing in Adaptive Learning Systems – Lahari Popuri and Sachin Sharma.
Index
Biography
Pawan Whig, a leading expert in artificial intelligence and machine learning, is dedicated to advancing sustainable development. Dr. Whig's groundbreaking research and publications inspire innovative solutions for a greener, more equitable future.
Pavika Sharma is a distinguished researcher in artificial intelligence and machine learning, focusing on sustainable development. Her innovative work explores the intersection of technology and environmental conservation, driving progress towards a sustainable future.
Ahmad A. Elngar is an associate professor and Head of the Computer Science Department at Beni-Suef University. His research focuses on artificial intelligence, machine learning, and data science, with a strong emphasis on developing innovative computational models for education and intelligent systems.
Nuno Silva is the Chief Scientific and Technology Officer at UnifAI Technology, leading innovation at the intersection of artificial intelligence, quantum computing, and data science. His work focuses on advancing intelligent systems that enhance learning, decision-making, and sustainable technological transformation.
