ONTOLOGY DOMAIN MODEL FOR E-TUTORING SYSTEM (original) (raw)

2020, Journal of Software Engineering & Intelligent Systems

E-tutoring system is a sophisticated, integrated software system that applies Artificial Intelligence (AI) concepts and methods to teaching and learning problems and requirements. They allow the student to search for level of knowledge and learning methods used to enhance or correct the students' knowledge. In a specified area of knowledge, they are intended to support and improve teaching and learning process while preserving the learner's uniqueness. E-tutoring system research has successfully delivered systems providing support for one-to-one tutoring. Most of these systems are actively used in real-world settings and have even contributed to changing traditional education. To improve the future research related to the enhancement of tutoring, we proposed an ontology domain model including besides the standard modules a common shared ontology database and knowledge-based background, too. The shared ontology databases can improve the quality of the domain models both in tutor and student models. In this paper, we give a survey on current E-tutoring systems, E-tutoring system technologies and proposed E-tutoring architecture. In this paper, we focus on domain module, our goal here is to let the e-tutor system prepare the material according to the students' capabilities. As a result, the proposed model can solve the problem of the current E-tutoring systems, can meet the features of reusability, standardization, open knowledge and flexibility, by using the ontology domain model we can avoid the problem of isolated database. The constructed ontology can be used in the future to control adaptive intelligent e-tutor frameworks.