AI and Cognitive Modelling for Education

This book offers a groundbreaking approach to bridging the gap between various disciplines involved in cognitive modeling in education. By drawing on the fields of learning, neuro science, cognitive science, neurobiology, and computer science, it provides a new perspective on how we can integrate these disciplines with education to create more effective learning environments. The main objective of this book is to delve into the ethical, sociological, and technological questions surrounding the introduction of intelligent and smart learning environments in education. By analyzing these issues, this book aims to bridge the gap between the various disciplines involved in cognitive modeling and education, while highlighting the benefits and risks associated with these advancements. With the emergence of AI-based tutors, coaches, and learning environments, students now have access to a new type of self-learning and self-training that was previously unavailable. Distance learning has become increasingly popular in recent years, and the use of computer-assisted learning tools has revolutionized the way we think about education.

The goal of education must be to instill in students a desire to learn for themselves, and this can only be achieved through active, self-directed, and reflective learning. With intelligent tutoring systems, students are empowered to take an active role in their own education, rather than simply being passive recipients of information. This book offers practical strategies for teachers to facilitate this transition, enabling them to act as facilitators and guides rather than one-way communicators. By embracing this new approach to education, we can help students become lifelong learners who are equipped with the skills they need to succeed in the 21st century.

Boris Abersek graduated from the Faculty of Technical Sciences of the University of Maribor. He completed his M.Sc., and Ph.D., at the same faculty. He furthered his studies with a second Ph.D.: A Philosophical Analysis of the Mechanisms of Natural Thinking and Artificial Intelligence, which he obtained from the Faculty of Arts, University of Maribor.

Andrej Flogie holds a Ph.D. in Educational Science. He is an Associate Professor at the Faculty of Natural Sciences and Mathematics ofthe University of Maribor, Slovenia, and Director of Anton Martin Slomsek Institute, Slovenia. He is an expert in the digitalization of education, ICT application in business and educational processes, project management the introduction of innovative teaching skills, development of e-services, and e-content.

He gained his experience by participating in the role of a key expert in a large number of national and European projects, many years of work in educational institutions (teaching, teacher training, e-learning, and use of ICT in education...), design and development of complex IT solutions, the development of Slovenian and EU information society policy in the role of director for the information society in the Ministry of Higher Education, Science, and Technology, as minister adviser for the digitalization and EU funds and as a member of numerous professional institutions and working groups that promote innovative learning approaches.

Igor Pesek holds a PhD in computer science and information technology. He is the Head of the Digitisation of Education Service at the Ministry of Education and an Assistant Professor of Digital Education at the Faculty of Natural Sciences and Mathematics, University of Maribor. His research interests include computer science pedagogy, digital education and artificial intelligence in education.

He is the author of numerous papers in scientific journals and conferences. He has also co-authored chapters in scientific monographs in the field of digital education.