Iot-Driven Model For Collaboration Based On Learning Paradigms

In the area of smart digital education, artificial intelligence (AI) hasrecently gained growing interest. CI and MTT methodologies have been used for thecreation 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 nextcentury for all educational and learning activities in web-based smart systems. Itaddresses the CI and the paradigms of technology engineering for the development ofintelligent education and learning systems. The two common CI paradigms areexplored and evaluated in this review, namely case-based reasoning and ontologicalengineering. Aim of analysis is to define and analyze the advantages and benefits ofcertain smart paradigms in order to improve productivity and efficacy of smarttutoring programmers. In addition, the paper explores the obstacles for the creationand operation of these applications confronting program developers and informationengineers.