Document Type : Primary Research paper
Assistant Professor, Department of Computer Science & Engineering, University Institute of Technology RGPV Bhopal M.P ,Abbas Nagar, Gandhi Nagar, Bhopal, Madhya Pradesh 462033.
Professor ,Department of Electronics and Communication Engineering ,Sa
Assistant Professor, Department of Electronics and Communications Engineering, Easwari Engineering College, Bharathi Salai, Ramapuram, 600089
Assistant Professor, Systems and HR Department, GNVS Institute of Management, Mumbai-37.
Associate Professor, RMD Engineering College, Kavaraipettai, Tamil Nadu 601206.
Lecturer, Department of Information Technology, Appejay School, Navi Mumbai -410210
In the area of smart digital education, artificial intelligence (AI) has
recently gained growing interest. CI and MTT methodologies have been used for the
creation of a Smart tutoring system (STS) for researchers. In the other hand, the AI,
computer science and Internet of Things (IoT) integration facilitates growth of next
century for all educational and learning activities in web-based smart systems. It
addresses the CI and the paradigms of technology engineering for the development of
intelligent education and learning systems. The two common CI paradigms are
explored and evaluated in this review, namely case-based reasoning and ontological
engineering. Aim of analysis is to define and analyze the advantages and benefits of
certain smart paradigms in order to improve productivity and efficacy of smart
tutoring programmers. In addition, the paper explores the obstacles for the creation
and operation of these applications confronting program developers and information