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KJEP

Journal Articles

VOLUME
Vol. 21 | (2)
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attached file   05. Effects of STEM programs.pdf  
MANUSCRIPT TITLE
Effects of STEAM Programs Emphasizing Data Science and AI on Students’ Attitudes toward Mathematics and Science
KEYWORDS
Data science and AI, STEAM education, probability and statistics, multiple-group latent transition analysis, attitudes toward mathematics and science 
PUBLICATION DATE

DOI : 10.22804/kjep.2024.21.2.005


Open Access


This article is distributed under the terms of the Creative Commons Attribution NonCommercial NoDerivatives 4.0 International License (CC BY-NC-ND 4.0), which permits non-commercial use and distribution of the work, provided that the original work is properly cited and no modifications or derivative works are made.


License: https://creativecommons.org/licenses/by-nc-nd/4.0/


ⓒ Korean Educational Development Institute (KEDI)


Abstract


This study investigated the influence of two STEAM programs focused on data science and AI on fifth and sixth graders' attitudes toward mathematics and science. By incorporating project-based learning, these programs merged mathematical concepts with technology, information and computer education, and the Arts, engaging 191 students in both in-person and online settings because of the COVID-19 pandemic. Pre- and post-program surveys, analyzed through latent transition analysis, showed marked improvements in attitude, especially among students who were initially less inclined toward these subjects. The findings suggest that STEAM education, particularly when integrating data science and AI, significantly enhances student engagement and interest, demonstrating its effectiveness across different student demographics despite the challenges blended learning environments pose.