Intelligent Tutoring System ( ITS ) is an interactive application program that implements the method of artificial intelligence that can be used as a medium conveys information as well as the evaluation of the media in the learning process. Intelligent Tutoring System enabling students to apply their skills to carry out a task or doing exercises on specific subjects interactively . This study aims to describe the concepts , theory and model development / architecture for Intelligent Tutoring System by using Bayesian Network. In addition to the above objectives , this study is also to determine how the Bayesian Network is used to measure the cognitive abilities of students in basic physics , along with suggestions / recommendations that the pedagogic intelligent tutoring system more adaptive. The final results obtained from this study after the tests with a data sample of 100 junior high school students Islamic Boarding System Darul Muta'allimin Tasikmalaya for cognitive abilities measured by the method of Bayesian Network namely 33 % High , Medium 41 % , and 26 % lower. In addition , this study also produced a tutoring tool to measure cognitive ability to apply the concept of ITS using the Bayesian Network.
Tesis