society
Mathematics Education and Social Data Laboratory
Developing Civil Engineering Professionals for the Era of Mathematics, Data Science, and AI
As we enter the era of mathematics, data science, and AI, cultivating civil engineering professionals equipped with data literacy has become an urgent issue for Japan. In mathematics education, traditional research on statistics education is evolving into more interdisciplinary research on data science education that incorporates computer science. In the field of civil engineering, various types of data are handled, and statistical analysis is indispensable. Therefore, from the perspective of statistics and data science education, including STEAM education, our laboratory investigates the competencies and civil engineering literacy required of professionals who will support society in the coming era.
College of Engineering Civil Engineering Urban Infrastructure and Environment
| Graduate School of Engineering and Science（Master's Program） Civil Engineering Course
| Graduate School of Engineering and Science（Doctor's Program） Regional Environment Systems Course
- Faculty Name
- SHIOZAWA, Yuki
- Keyword
- Mathematics Education,Data Science Education,Statistics
- Laboratory location
- No.4 Building OMIYA Campus 5F 4503-2
This lab is for this SDG activity:
STUDY FIELDS
- Mathematics Education
- Statistics
- Educational Technology
FOR SOCIETY
Today’s society is overflowing with data. Therefore, it is essential for everyone to acquire the ability to interpret information accurately and discover new value through statistical analysis. It is also our responsibility to foster the civil engineering professionals who will support society’s infrastructure and help shape the future.
RESEARCH THEMES
- Social Research on 〇〇 using Multivariate Analysis.
- A Study on the Development of Statistical Literacy Required for Civil Engineering.
- Development and Empirical Validation of Civil Engineering Teaching Materials for High SchoollUniversity Articulation
