A Prediction of Learning Achievement of King Mongkut’s University of Technology Thonburi Students Admitted Throught Central University Admission System

Abstract

The purpose of this research are to develop and test the prediction of learning achievement modelof King Mongkut's University of Technology Thonburi students admitted through the central universityadmission system and to analyze the result of the prediction of learning achievement after changed inthe weight of each factor in selection process. The secondary sources of data are used in this study. Thedata are collected from the office of registration of King Mongkut's University of Technology Thonburi.There are 331 students which consist of 253 engineering students and 78 science students. The developedmodel consisted of two latent variables and five observed variables. The factors for prediction learningachievement are high school grade point average of (GPAX_M6), the Ordinary National Educational Test(O-NET), General Aptitude Test (GAT), and the Professional and Academic Aptitude Test (PAT). Theresults show that the prediction of learning achievement model of the students admitted through the centraluniversity admission system are significantly corresponding with the empirical data and the prediction oflearning achievement after weight changed from 10 models is found that all models of engineering facultycan be equally predicted in 55 percent. In science faculty, the best model that can predict achievementlearning is the model that has higher weight of Ordinary National Educational Test (O_NET) andProfessional Aptitude Test of Science (PAT 72) than other elements which can predicted in 81 percent.

Keywords : High School Grade Point Average / Ordinary National Educational Test / GeneralAptitude Test / Professional and Academic Aptitude Test