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
This work is licensed under a Creative Commons Attribution 4.0 License.
Included in
Bilingual, Multilingual, and Multicultural Education Commons, Curriculum and Instruction Commons, Educational Methods Commons, Educational Technology Commons, Elementary Education Commons
Participation in STEM Activities and the Test Scores of Elementary ELL Students
Reed 330
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.