An Investigation of a Modeling Method for University Lectures using Functional Decomposition Trees based on Educational Theory

Abstract

Japanese universities are required to foster data scientists with mathematical thinking and data analysis skills. However, there is no established teaching method to foster data scientists, and it is difficult for university teachers, who are not required to have a teaching license, to evaluate and improve their classes. In this study, we propose a methodology for modeling teaching by using functional decomposition trees used in ontology engineering and combining teaching and learning theories that have been studied in the field of education in the past. Based on the proposed methodology, we also discuss the advantages and problems of the proposed method by visualizing the relationship between theory and practice through actual modeling of PBL-style exercise-type classes conducted at the University of Hyogo.