Keynote Speech IV: Knowledge Engineering Paradigms in Smart Education: Methodologies, Applications and Challenges

Summary form only given, as follows. The complete presentation was not made available for publication as part of the conference proceedings. Knowledge engineering paradigms (KEPs) deal with the development of intelligent systems in which reasoning and knowledge play pivotal role. Knowledge engineering (KE) includes; Knowledge acquisition, knowledge representation and management, Knowledge discovery, intelligent shells and tools, smart methodologies, Knowledge modelling, Knowledge compilation, knowledge-based systems and ontological engineering. KEPs provide a robust intelligent computing techniques and algorithms that can help solving problems in a variety of domains and tasks. Recently, KEPs receive increasing attention within the fields of education and learning. Researchers have been used the knowledge engineering (KE) techniques and methodologies to develop a smart tutoring and learning systems. Moreover, the convergence of artificial intell igence (AI) and web science is enabling the creation of a new generation of web-based smart systems for all educational and learning tasks. This talk discusses the KE and AI paradigms for developing the intelligent educational and smart Learning systems. Four most popular paradigms are discussed namely; case-based reasoning, ontological engineering, data mining and intelligent agents. Moreover, the talk addresses the challenges faced by the application develop ers and knowledge engineers in developing and deploying such systems. In addition, the talk presents some cases of intelligent learning systems/tools developed by the author and his colleagues at Artificial intelligence and Knowledge Engineering Research Labs, Ain Shams University, AIKE Labs-ASU, Cairo, Egypt.