Two-phase Blue-Red tree of rule-space model for the cognitive assessment evaluation and analysis — A case study of MTA course

Abstract

In Taiwan, it is one of the diverse indicators for the Ministry of Education to promote and evaluate their competencies that the vocational education system students have more than one professional certification. They also are one way to find the ideal jobs that enhance their competitiveness for vocational students on-the-job. Therefore, it is very important to obtain professional certification for students in vocational education systems. In particular, the more professional licenses, the more jobs students can easily get. Therefore, we propose an online learning and testing system that combines two-phase Blue-Red trees of Rule-Space Model, and it is used to remedy and analyze the learning situation of MTA courses and enhance the pass rate of MTA licenses for students. We can classify three SGs(Skill Groups) from the Certiport of Microsoft certification center in the phase one, and the three SGs(Skill Groups) can be produced as a concept map and Blue-Red trees. In the phase two, The ten chapters of MTA course are classified within the three SGs(Skill Groups) of the phase one according to the most similarity in contents between ten chapters and three SGs(Skill Groups). That is, it will be created three groups of a MTA course from previous ten chapters. The three groups can produce three concept maps and three groups of Blue-Red trees. The correction rate of each skill group can not only help improving learners own learning direction, but also help the improvement of the system itself. Our experiment results supports our methodology well.