Faculty Mentor(s)

Dr. Toni Pauls

Project Type

EdD Colloquium - ONU

Scholarship Domain(s)

Scholarship of Discovery

Presentation Type

Presentation

Abstract

English language learners (ELLs) have been the fastest-growing student population in the country over the last decade, growing 60% compared with the 7% growth of the general student population. Swift growth has also been demonstrated in careers in the fields of Science, Technology, Engineering, and Math (STEM) during this period. The purpose of the current quantitative study was to investigate if there was a correlation between the participation of second, third, and fourth grade ELL students from a rural, low-income elementary school in the Midwest in STEM activities and their scores on nationally normed tests. A mixed-factorial ANOVA predicting overall NWEA Reading and Math RIT Scores from time point (Spring vs. Fall), STEM condition (STEM vs. no-STEM), and the interaction between time point and STEM condition. The research findings will help school districts, companies, and agencies promote the integration of ELL students into their STEM curriculum and assist in developing an ELL STEM curriculum.

Permission type

Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.

Available for download on Saturday, March 01, 2025

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Participation in STEM Activities and the Test Scores of Elementary ELL Students

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English language learners (ELLs) have been the fastest-growing student population in the country over the last decade, growing 60% compared with the 7% growth of the general student population. Swift growth has also been demonstrated in careers in the fields of Science, Technology, Engineering, and Math (STEM) during this period. The purpose of the current quantitative study was to investigate if there was a correlation between the participation of second, third, and fourth grade ELL students from a rural, low-income elementary school in the Midwest in STEM activities and their scores on nationally normed tests. A mixed-factorial ANOVA predicting overall NWEA Reading and Math RIT Scores from time point (Spring vs. Fall), STEM condition (STEM vs. no-STEM), and the interaction between time point and STEM condition. The research findings will help school districts, companies, and agencies promote the integration of ELL students into their STEM curriculum and assist in developing an ELL STEM curriculum.