Abstract
Intelligent Tutoring System (ITS) is an electronic tutorial that has intelligence for adapting learning materials.It adjusts the contents of learning materials depending on the users' requirements.This research developed an ITS for Object Oriented Programming course that is based on Bayesian Network as its inference engine.It has run well which is shown by the variation of the study tracks of each student based on the Bayesian Network Student Model.This tutorial is also divided into two part, there are basic parts that contains basic programming technique and the advanced part that provides the concepts of Object Oriented Programming.Based on those two parts, this study wants to examine their differences of them.By the Levenshtein distance, the highest distance between students' ways of learning is 11 and its average is 5.385 for the basic part of Programming and 4.8 for the advanced part of the advanced part.The advanced part also has a positive value of skewness of the frequency distribution, it is 0,81 (left skew), which means that this distance is majority short.Whereas the basic of programming has a negative value that is -0.68 (right skew), in the other words, it shows that the elementary part has a longer distance of learning way.Data of the distances of advanced material parts concentrated on the second quartile by median is 4, whereas the basic part, by median is 6, data is concentrated in the third quartile.Mean Opinion Score shows that students are more interested to use the ITS than the classical Tutoring System, it is because the ITS has an average value is 8 (very agree) and the classical tutorial is 7 (agree).Besides that, the other criteria such as user-friendly, speed, report response, and appearance have 8 scores or very agree, and only a criterion has 7 (agree) in the stability.