Classification of University Students Attending Computing Classes Using a Self-assessment Questionnaire

The aim of the present paper is to analyze the results of a self-assessment questionnaire meant to classify students attending ICT classes using clustering methods. The questionnaire survey consisted of 25 educational skills and was conducted in Tokai University using a computer-assisted web-interviewing technique both before and after participants attended ICT classes. The questionnaire results were analyzed using an agglomerative hierarchical clustering based on Ward’s method and a self-organizing map. The findings of the present paper show that students attending ICT classes could be classified into several groups based on the classes they attended and their respective academic faculties.