A Web-based Multilingual Intelligent Tutor System based on Jackson's Learning Styles Profiler and Expert Systems

摘要

Nowadays, Intelligent Tutoring Systems (ITSs) are so regarded in order toimprove education quality via new technologies in this area. One of theproblems is that the language of ITSs is different from the learner's. Itforces the learners to learn the system language. This paper tries to removethis necessity by using an Automatic Translator Component in system structurelike Google Translate API. This system carry out a pre-test and post-test byusing Expert System and Jackson Model before and after of training a concept.It constantly updates learner model to save all changes in learning process. Sothis paper offers an E-Learning system which is web-based, intelligent,adaptive, multilingual and remotely accessible where tutors and learners canhave non-identical language. It is also applicable Every Time and Every Where(ETEW). Furthermore, it trains the concepts in the best method with anylanguage and low cost.