Next-Generation AI Methodologies in Education

Next-generation artificial intelligence (AI) methodologies revolutionize education landscapes, offering innovative approaches to enhance learning experiences and streamline administrative processes. These cutting-edge technologies utilize machine learning, natural language processing, and adaptive algorithms to create personalized learning environments tailored to individual student needs. By harnessing data-driven insights, educators can identify learning gaps, facilitate collaborative experiences, and foster critical thinking skills. As AI evolves, further research into its integration in education may improve academic outcomes while preparing students for digital literacy and adaptability. Next-Generation AI Methodologies in Education explores the intersection of AI and educational practices, examining how AI revolutionizes teaching methodologies in secondary schools and colleges. It investigates the emerging discipline of AI-driven education, highlighting its potential to enhance personalized learning, increase educational accessibility, and transform traditional pedagogical methods. This book covers topics such as pre-service teaching, professional development, and digital technology, and is a useful resource for computer engineers, education professionals, academicians, business owners, researchers, and scientists.

Dr. Eriona Cela is a distinguished academic and expert in European integration and negotiation, renowned for her contributions to education and public administration in Albania and beyond. Holding prominent positions within multiple institutions, she serves as a key figure at the Academy of European Integration and Negotiations (AIEN), the Albanian School of Public Administration (ASPA), and the Business Academy College. Dr. Cela's expertise is further recognized through her active involvement in various roles related to European Union policies and enlargement strategies. As a Jean Monnet Chair holder at the Institute of European Studies, University of Tirana, Dr. Cela has spearheaded significant projects such as the European Integration School 2023's eighth edition. Her work frequently appears in prestigious publications, including the European Journal of Arts, Humanities and Social Sciences, the European Journal of Contemporary Education, and the International Journal of Balkan Studies. She is also an Associate Editor for the International Journal of Risk and Contingency Management (IJRCM), an IGI Journal. She has also been engaged with the OSCE Academy in Bishkek, Vytautas Magnus University, and the Università degli Studi di Bari Aldo Moro, Dipartimento di Studi Umanistici, where she has furthered research and collaboration on a European scale. Dr. Cela's commitment to educational leadership is demonstrated through her involvement with Shkolla e Drejtorëve (CSL) and the AADF, where she focuses on developing future leaders and administrators. In recognition of her ongoing contributions to education and public administration, Dr. Cela has received numerous accolades and is frequently invited as a keynote speaker at various academic and policy-making webinars. Her work continues to influence the strategic development of education systems in Albania and serves as a benchmark for integrating European educational standards and practices in the region.

Narasimha Rao Vajjhala is working as the Dean of the Faculty of Engineering and Architecture at the University of New York Tirana, Albania. He had previously worked as the Chair of Computer Science and Software Engineering programs at the American University of Nigeria. He is a senior member of ACM and IEEE. He is the Editor-in-Chief (EiC) of the International Journal of Risk and Contingency Management (IJRCM). He is also a member of the Risk Management Society (RIMS), and the Project Management Institute (PMI). He has over 23 years of experience teaching programming and database-related courses at both graduate and undergraduate levels in Europe and Africa. He has also worked as a consultant in technology firms in Europe and has experience participating in EU-funded projects. He has completed a Doctorate in Information Systems and Technology (United States); holds a Master of Science in Computer Science and Applications (India), and a Master of Business Administration with a specialization in Information Systems (Switzerland).

Mathias Mbu Fonkam is an Experienced Computer Science & Software Engineering Professor with a demonstrated history of work in higher education and the software industry. Skilled in Computer Science, Software Engineering & Development applying best practices of object-Oriented and Functional Programming, Full-stack web application experience with Ruby on Rails, Django, Grails and IHP, some front-end development with Elm, strong hand in functional programming with Haskell and Clojure, and growing expertise in Data Science and Machine Learning using Python libraries -- Numpy, SciPy, Pandas and Scikit Learn. Strong education background with a PhD in Computer Science specialized in Distributed Databases from Cardiff University / Prifysgol Caerdydd.