Publications

Study of an Effective Machine Learning-Integrated Science Curriculum for High School Youth in an Informal Learning Setting

Description

This study evaluates the effectiveness of a machine learning (ML) integrated science curriculum implemented within the Science Research Mentorship Program (SRMP) for high school youth at the American Museum of Natural History (AMNH) over 2 years. The 4-week curriculum focused on ML knowledge gain, skill development, and self-efficacy, particularly for under-represented youth in STEM.

 

Suggested citation:

Rabinowitz, G., Moore, K.S., Ali, S. et al. Study of an effective machine learning-integrated science curriculum for high school youth in an informal learning setting. IJ STEM Ed 12, 23 (2025). https://doi.org/10.1186/s40594-025-00543-5

PUBLICATION DETAILS

Type
Article
Author
G. Rabinowitz
K.S. Moore
Publisher
International Journal of STEM Education
Publication Year
2025
Discipline(s)
Emerging Tech (Artificial Intelligence, Quantum Computing, and Blockchain)