[1N4-GS-10] AI application

[1N4-GS-10-03] Training of Beginning Data Science Students through Problem-Solving Exercises Using Real Data

A Case Study of PBL Exercise for First-Year Students in Academic Year 2022

〇Munehiko Sasajima¹, Ken Ishibashi¹, Takehiro Yamamoto¹, Naoki Katoh¹ (1. University of Hyogo)

Keywords:Data Science, Problem-Based Learning, Actual Data

This is the fourth year that the Faculty of Social Information Science at the University of Hyogo has conducted Problem-Based Learning (PBL) for first- and second-year undergraduate students, using real data from partner companies, with the goal of fostering data scientists with practical skills. The data scientists that our department aims to nurture are not only those who have the ability to analyze data using IT skills and knowledge of statistics, but also those who have the ability to formulate real-world problems and collect necessary data, and those who have the ability to make proposals for improving society by using the results of analysis. The goal of this program is to develop students' interest in improving management and to teach them the importance of thinking not only about data, but also about the actual situation. Since the establishment of the department in 2019, we have conducted PBL for first-year students four times, and this year, as a new trial, we limited the number of stores that would be the target of practical training to one. The exercise was evaluated by taking a student questionnaire afterward. This paper outlines the PBL exercises conducted in FY2022 and describes the advantages and challenges of PBL using real data, which were obtained through the PBL exercises conducted so far.