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Download full textSanchez, Joje Mar P.; Ponce, Michael A. – Science Education International, 2020
The study aimed to determine the extent of associations of physics, mathematics, and between physics and mathematics based on the results of the 2007, 2011, and 2015 Trends in Mathematics and Science Survey achievement tests. Utilizing educational data mining and correlational data analysis (significance set at [alpha] = 0.05), this study's…
Descriptors: Physics, Science Achievement, Mathematics Achievement, Elementary Secondary Education
Direct linkRobinson-Cimpian, Joseph P.; Thompson, Karen D.; Umansky, Ilana M. – Grantee Submission, 2016
English learners (ELs), students from a home where a language other than English is spoken and who are in the process of developing English proficiency themselves, represent over 10% of the US student population. Oftentimes education policies and practices create barriers for ELs to achieve access and outcomes that are equitable to those of their…
Descriptors: English Language Learners, Equal Education, Educational Policy, Educational Research
D'Mello, S. K., Ed.; Calvo, R. A., Ed.; Olney, A., Ed. – International Educational Data Mining Society, 2013
Since its inception in 2008, the Educational Data Mining (EDM) conference series has featured some of the most innovative and fascinating basic and applied research centered on data mining, education, and learning technologies. This tradition of exemplary interdisciplinary research has been kept alive in 2013 as evident through an imaginative,…
Descriptors: Data Analysis, Educational Research, Educational Technology, Interdisciplinary Approach
