Web-Based Instruction Using Computer Assisted Intelligent Network for Software Engineering Course

This research aims to compare achievement between pre- and post-test on the course of Software Engineering of students who studied the web- based instruction by assistant intelligent network. The web-based instruction were proposed by 3 modes. The first mode was the content of schooling, the second mode was the design of graphical user interface and activity learning was the third one. There were 4 web-based instructions: Lesson 1-GatheringUser Requirement, Lesson 2-Testing Principle, Lesson 3-Project Management and Software Estimation and Lesson 4-Risk Management. The sampling data were 32 students; Results were analyzed statistically, with mean (), standard deviation (S.D.) and t-test. The results show that topic no. 4 of satisfied value on the content of ranked the highest level to 7 topics. The overall value of the first mode had the highest mean (= 4.61 and S.D. = 0.24). A topic no. 1 (Color and font size are readable and interesting) of the second mode ranked the highest level and an overall mean (= 4.54, S.D. = 0.27). Topic no. 4 of the third mode also ranked the highest level and the overall value mean (= 4.70, S.D. = 0.28). In comparison the achievement to pre- and post-test different at a significant level of 0.001.