society
Mathematics Education and Social Data Laboratory
Developing Data Literacy and Constructing Learning Theories for the Era of Mathematics, Data Science, and AI.
As we enter the era of mathematics, data science, and AI, cultivating individuals with data literacy has become an urgent issue for our country. In mathematics education, traditional statistical education research is evolving into 目前最好的足彩app interdisciplinary data science education research that includes computer science. In the field of civil engineering, various types of data are handled, and statistical analysis is indispensable. Therefore, our laboratory engages in two main areas of research: (1) the analysis of social data using statistical methods, and (2) the construction of learning theories that support education in statistics and data science.
College of Engineering Civil Engineering Urban Infrastructure and Environment
- 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. The construction of learning theories and task design principles based on science will lead to the creation of rich and meaningful learning experiences.
RESEARCH THEMES
- Social Research on 〇〇 using Multivariate Analysis.
- A Study on the Development of Mathematical Literacy Required for Civil Engineering.
- Construction and Validation of Task Design Principles in Statistics and Data Science.
