Analysis of Matching between Student and Curricula via TOPSIS Algorithm for Admission Decision Support

Recently, world education has been disrupted by the era of change. The digital lifestyle is closed in our daily life. Many curricula are reconstructed and developed for fitting students’ 21
^st
century skills. In this paper, we investigate the decision support system for matching students and curricula. By analyzing soft skills, hard skills and competitiveness of student evaluation and curricula expectations. Multi criteria decision making is applied in the analysis of matching. Optimal curricula for the student are ranked via TOPSIS algorithm. A prototype of the decision support illustrated on Google cloud platform. Thirty students from the Demonstration School of Kanchanaburi Rajabhat University were the volunteer use case. Mostly, they feel positive after having seen the dashboard results. The decision support should add the varieties of curricula and universities in the country and develop an admission guidance service. The 1
^st
rank may help their decision if there are more information and contact in the dashboard.