This paper is from Session 1A: An Innovative Educational Model of Elementary Statistics Course with MOOC, PBL, and AI (panel)
which comes under Topic 1: Statistics education: Looking back, looking forward
Paper 1A1 (Tuesday 10th, 16:00-17:30)
Overview of an Educational Model of Elementary Statistics for the Data Science Program of Shiga University
Presenter
- Shizue Izumi (Shiga University, Japan, Japan)
Co-author
- Michinori Hatayama (Kyoto University, Japan)
Abstract
We propose a design for an elementary statistics course incorporating a massive open online course (MOOC), real-data-oriented project-based learning (PBL), and artificial intelligence (AI). In April 2017, Shiga University established the first department of data science in Japan. We intend to teach data science by enabling students to accumulate experience in solving real-world problems using various data and creating value from the data. The course contents include development of critical thinking, communication, and teamwork. Whereas students utilize MOOC to acquire knowledge outside the classroom, they acquire skills in communication and teamwork inside the classroom through PBL practice by examining data. We hope that our proposed model will help provide the students with a balanced introduction to statistical concepts, methods, and theory.