Abstract
Recently, artificial intelligence (AI) receive increasing attention within the field of developing smart digital education. Researchers have been used the computational intelligence (CI) and machine learning techniques methodologies to develop a smart tutoring systems (STSs). On the other side, the convergence of AI, data science and Internet of Things (IoT) is enabling the creation of a new generation of web-based smart systems for all educational and learning tasks. This paper discusses the CI and knowledge engineering paradigms for developing the smart educational and learning systems. In this study the two popular CI paradigms; case-based reasoning and ontological engineering are discussed and analyzed namely. The main objective of this study is to determine and exploration the benefits and advantages of such intelligent paradigms to increase the effectiveness and enhancing the efficiency of the smart tutoring systems. Moreover, the paper addresses the challenges faced by the application developers and knowledge engineers in developing and deploying such systems.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call