Data Science Modules for K-12 Afterschool Clubs

Music City Center 

K-12 teachers from Oregon are encouraged to make use of a set of science education tools and model lessons created by the research team the Language, Culture, and Knowledge-building through Science (LaCuKnoS) project -- an NSF-awarded project at Oregon State University. We developed engaging data visualization and AI application class modules, utilizing LaCuKnoS tools such as language booster, concept cards, and other interactive learning aids. These modules aim to provide students with a understanding of essential concepts in data science, making complex topics more accessible and enjoyable. To assess the impact of these activities on students' learning outcomes, surveys are administered twice each academic year, measuring the improvement in both the students' understanding of STEM concepts and their interest in pursuing STEM-related fields. The analysis focuses on the development of students' STEM and how their participation in the program influences their career preferences. With various statistical tools, we implemented a system for evaluating the conceptual understanding of STEM materials of K-12 students in the LaCuKnoS project.

data science

K-12

STEM

education

AI 

Section on Statistics and Data Science Education