The Role of Artificial Intelligence in Education
Swathi Ganesan, Nalinda Somasiri, Sangita Pokhrel · 2023
The paper depicts the design of the Intelligent Tutoring System for computing to assist students learn Computing. The essential thought of this tutoring system is an orderly presentation into the idea of computing. The system presents the subject of computing and manages naturally created problems for the student to understand. The Tutoring System incorporates three fundamental model architectures: Domain knowledge model architecture, student model architecture, and Pedagogical Module Architecture. Utilizing the domain knowledge module architecture, the ITSs ought to have the option to take care of issues concerning the academic module which is given to the students. The incorporation of cognitive science concepts into ITSs culminated, is what currently considered an intelligent tutoring program. Such structures provide knowledge of pedagogical methods and the knowledge of the student as a pedagogical module and a student module, in addition to the information about the teaching content. One of the limitations that influenced the development of ITS is the difference in time zone. ITS development exceptionally relied upon the teamwork of the project team. The members of the team can identify and remove the bugs in codes via common cooperation, but the time zone difference can affect the bug removal process because of changing time plans.