Improving Motivation in Learning AI for Undergraduate Students by Case Study

Abstract

The purpose of introductory data science education for undergraduates is to increase students' interest in data science and motivate them to learn. In Japanese university students' standard data science curriculum, group work based on AI application examples is recommended to motivate students to learn data science. All university students who have just graduated from high school may not have sufficient basic data science knowledge, and their understanding of its importance may differ from person to person. Under these circumstances, it is unclear whether an introduction to AI applications would be practical as an introductory education to data science. Therefore, in this study, we designed a lesson including group work based on a case study of using AI technology in job interviews. Although first-year university students' willingness to learn AI differed by department, we found that their motivation in learning AI increased after the lesson.