Knowledge-based systems refer to computer programs that reason and use a knowledge base to solve complex problems and are an area of high interest by researchers. The attempt of these systems to represent knowledge explicitly allowing the emergence of new knowledge as well as the ever-increasing need of software to become even more individualized and adaptive to users’ needs and preferences can illustrate the motivation of the authors to explore this area. Christos Troussas and Cleo Sgouropoulou analyzed the case of intelligent and adaptive learning technology systems. In the light of new advancements in knowledge-based software engineering, the authors conducted a detailed research and worked towards addressing the resulting obstacles giving potential and robustness to the modern ways of e-learning through the incorporation of artificial intelligence and knowledge-based approaches.

This book explores several complex and sophisticated techniques that are used by e-learning software to build an individualized learning environment and offer a student-centric experience to the users. On top of that, the authors research evaluation models and frameworks that are tailored to assess the quality and effectiveness of knowledge-based systems.

Considering the above, I strongly believe that the authors made admirable effort to further explore this important research field and this monograph is a significant contribution to the pertinent literature. This book can be a valuable tool for junior and senior researchers as well as software developers that seek to implement learning technology systems of improved quality in terms of adaptivity and intelligence.

Athens, Greece

Prof.-Dr. Ioannis Voyiatzis

University of West Attica