Redefining Independent Learning with AI Agents

The advancement of AI transforms how individuals approach learning, giving rise to a new model of independence supported by intelligent tools. AI agents can personalize instruction, provide real-time feedback, and adapt to learners' needs, enabling more self-directed and flexible educational experiences. As traditional instruction changes, AI-driven systems reshape the role of guidance, motivation, and assessment. Understanding this shift is essential for evaluating both the opportunities and challenges of independent learning in a digital world. Redefining Independent Learning With AI Agents investigates how AI agents redefine education and independent learning by offering targeted, adaptive, and scalable solutions. It explores how AI-powered tools can raise participation, enhance accessibility, and promote lifelong learning. This book covers topics such as adaptive learning, digital technology, and education assessment, and is a useful resource for engineers, educators, academicians, researchers, and scientists.

Momina Shaheen is an academic and researcher in computer science with over 8 years of experience in teaching and research. She currently serves as a Lecturer in Computing and Programme Leader at the University of Roehampton London. Her work focuses on edge computing, the Internet of Things, federated learning, and cybersecurity, with applications across smart cities, healthcare, finance, and education. Shaheen holds a B.Sc. in Information Technology, an M.Eng. in Software Engineering, and defended her Ph.D. in Computer Science, focusing on improving deep learning performance in federated machine learning. Her academic contributions include over 46 peer-reviewed publications in Q1 journals, multiple book chapters, and editorial work, earning her an h-index of 9 and over 400 citations. She has taught a wide range of undergraduate and postgraduate modules, including algorithms, software development, artificial intelligence, and data visualization. In addition to her teaching, she leads international collaborations and actively contributes to curriculum design, grant writing, and supervision of research projects. She also served as a reviewer for prominent journals such as Nature (under Early Career Reviewer Program), MDPI Electronics, IEEE Access, IET Information Security, Springer Scientific Reports, PLOS ONE, and ACM Transactions, and has chaired international conferences. Shaheen is committed to fostering innovation in computing education, and intelligent systems.

Jay Kumar Pandey is currently working as an Assistant Professor in the Department of Electrical & Electronics Engineering at Shri Ramswaroop Memorial University, Barabanki (U.P.) India. Dr. Pandey has completed his Ph.D. and has done his M.Tech. with specialization in Power Control (Instrumentation) and also done his MBA from Finance and Marketing. His subjects of interest are related to Artificial Intelligence, Biomedical & Healthcare, Image Processing, Machine Learning and Renewable energy. He has 15 years of teaching and research experience has published more than 30 research papers in National and International journals /conferences & Book Chapters in CRC, NOVA, Taylor & Francis, Springer and IGI Publisher. Dr. Pandey is an editor of books (edited) published by reputed publishers Apple Academy Press, IGI, Elsevier, Wiley-IEEE, NOVA, Bentham Science, IAP, Emerald Publication, Taylor & Francis & Cambridge Scholar .Dr. Pandey is also Editor of Journal of Technology Innovations and Energy United States. Dr. Pandey having reviewer in different conference/Journal/Book Chapters like (The Journal of Supercomputing in Springer Nature, IGI publishing, Journal of Security and Communication Networks Hindawi, Journal of Biomimetics, Biomaterials and Biomedical Engineering (JBBBE) Scientific Net, Switzerland, Advanced Engineering Forum (AEF) Scientific Net, Switzerland)

Faizan Ahmad is an esteemed Senior Lecturer at the University of East London. He has been internationally recognized for his exceptional scientific achievements, holding the prestigious titles of UK's Global Talent, endorsed by The Royal Society, and UK's Academic Fellow, awarded by The Higher Education Academy. His research is driven by a passion for creating the next generation of Human-Centered AI (HCAI) systems and intelligent immersive learning technologies. His work lies at the intersection of AI, education, and human experience, where he designs personalized learning solutions that adapt intelligently to learners’ needs. He has made significant contributions to developing and applying these systems in high-engagement immersive environments such as interactive Virtual Reality (VR) classrooms, Augmented Reality (AR) frameworks, and gamified learning platforms. With 10 years of overseas academic experience, his prolific research efforts have resulted in 45 research articles, with 22 published in prestigious Q1 journals. He also holds key leadership roles, including serving on the editorial boards of high-impact journals like Scientific Reports (Nature Portfolio) and Humanities & Social Sciences Communications (Springer Nature). Furthermore, he is co-editing forthcoming volumes with major publishers, including Elsevier, Springer, and Cambridge University Press.

Jawad Rasheed received a B.S. degree in telecommunication engineering from the National University of Computer and Emerging Sciences, Pakistan. He then moved to Turkey, earning an M.S. degree in electrical and electronics engineering and a Ph.D. in computer engineering. He was a gold medalist and was awarded the Academic Excellence Award for securing straight A’s in O’ Level exams held by Cambridge University. Later, he also received a prestigious Doctorate and Research Scholarship for his Ph.D. studies (for three years). Dr. Rasheed is currently working as an Associate Professor at the Department of Computer Engineering at Istanbul Sabahattin Zaim University, Turkey. He is the author/co-author of over 60 articles published in well-reputed journals and highly-ranked conferences. He serves as editor of several reputed journals including PLoS ONE, International Journal of Computational Intelligence Systems, PLoS Digital Health, and Current Medical Imaging. He was guest/lead guest/topic editor for special issues at the Symmetry, Mathematics, Healthcare, Applied Sciences, Electronics, and Journal of Sensor and Actuator Networks. Recently, he served as a book editor for Springer Lecture Notes on Data Engineering and Communications Technologies (Forthcoming Networks and Sustainability in the IoT Era) and Lecture Notes on Network Systems (Forthcoming Networks and Sustainability in the IoT Era). In addition, he is the general chair of IEEE ICAIoT and IEEE/Springer FoNeS-AIoT and chairs the technical program committee of Springer FoNeS-IoT 2021. His research interests include artificial intelligence and image processing. pattern recognition, IoT, LLM, and data analytics. JAWAD RASHEED received a B.S. degree in telecommunication engineering from the National University of Computer and Emerging Sciences, Pakistan. He then moved to Turkey, earning an M.S. degree in electrical and electronics engineering and a Ph.D. in computer engineering. He was a gold medalist and was awarded the Academic Excellence Award for securing straight A’s in O’ Level exams held by Cambridge University. Later, he also received a prestigious Doctorate and Research Scholarship for his Ph.D. studies (for three years). Dr. Rasheed is currently working as an Associate Professor at the Department of Computer Engineering at Istanbul Sabahattin Zaim University, Turkey. He is the author/co-author of over 60 articles published in well-reputed journals and highly-ranked conferences. He serves as editor of several reputed journals including PLoS ONE, International Journal of Computational Intelligence Systems, PLoS Digital Health, and Current Medical Imaging. He was guest/lead guest/topic editor for special issues at the Symmetry, Mathematics, Healthcare, Applied Sciences, Electronics, and Journal of Sensor and Actuator Networks. Recently, he served as a book editor for Springer Lecture Notes on Data Engineering and Communications Technologies (Forthcoming Networks and Sustainability in the IoT Era) and Lecture Notes on Network Systems (Forthcoming Networks and Sustainability in the IoT Era). In addition, he is the general chair of IEEE ICAIoT and IEEE/Springer FoNeS-AIoT and chairs the technical program committee of Springer FoNeS-IoT 2021. His research interests include artificial intelligence and image processing. pattern recognition, IoT, LLM, and data analytics. JAWAD RASHEED received a B.S. degree in telecommunication engineering from the National University of Computer and Emerging Sciences, Pakistan. He then moved to Turkey, earning an M.S. degree in electrical and electronics engineering and a Ph.D. in computer engineering. He was a gold medalist and was awarded the Academic Excellence Award for securing straight A’s in O’ Level exams held by Cambridge University. Later, he also received a prestigious Doctorate and Research Scholarship for his Ph.D. studies (for three years). Dr. Rasheed is currently working as an Associate Professor at the Department of Computer Engineering at Istanbul Sabahattin Zaim University, Turkey. He is the author/co-author of over 60 articles published in well-reputed journals and highly-ranked conferences. He serves as editor of several reputed journals including PLoS ONE, International Journal of Computational Intelligence Systems, PLoS Digital Health, and Current Medical Imaging. He was guest/lead guest/topic editor for special issues at the Symmetry, Mathematics, Healthcare, Applied Sciences, Electronics, and Journal of Sensor and Actuator Networks. Recently, he served as a book editor for Springer Lecture Notes on Data Engineering and Communications Technologies (Forthcoming Networks and Sustainability in the IoT Era) and Lecture Notes on Network Systems (Forthcoming Networks and Sustainability in the IoT Era). In addition, he is the general chair of IEEE ICAIoT and IEEE/Springer FoNeS-AIoT and chairs the technical program committee of Springer FoNeS-IoT 2021. His research interests include artificial intelligence and image processing. pattern recognition, IoT, LLM, and data analytics.

Maqbool Khan is an Associate Professor at the American University of Bahrain (AUBH). Previously, he served as a Post-Doctoral Researcher at the Software Competence Center Hagenberg (SCCH), Austria, and as an Associate Professor at Pak-Austria Fachhochschule: Institute of Applied Sciences and Technology (PAF-IAST), Pakistan. Dr. Khan received fully funded scholarships for his MS studies at Huazhong University of Science and Technology (HUST) and PhD studies at Nanjing University in 2011 and 2013, respectively, funded by the China Scholarship Council (CSC), China. He has multidisciplinary expertise and professional experience in Big Data Analytics, Cloud Computing, Predictive Maintenance, Data Science, Artificial Intelligence, and Machine Learning. With more than 15 years of experience in both academia and industry, he has worked with multinational companies including Siemens and Atos. He is also a certified Google Cloud Professional Cloud Architect. Dr. Khan is an active researcher involved in several funded research projects with international collaborators and has contributed to research in AI-driven systems, cloud technologies, and data-intensive apps.