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Direct linkBazler, Judith Ann, Ed.; Van Sickle, Meta Lee, Ed. – IGI Global, 2020
STEAM education can be described in two ways. One model emphasizes the arts and is not as concerned about the accuracy of the STEM fields. In the second model, STEM content is the prevailing force with a focus on accuracy, and the arts are used in limited and secondary resources for the teaching of the content. However, in order to promote…
Descriptors: Art Education, STEM Education, Models, Teaching Methods
Download full textHughes, John; Petscher, Yaacov – Regional Educational Laboratory Southeast, 2016
The high rate of students taking developmental education courses suggests that many students graduate from high school unready to meet college expectations. A college readiness screener can help colleges and school districts better identify students who are not ready for college credit courses. The primary audience for this guide is leaders and…
Descriptors: College Readiness, Screening Tests, Test Construction, Predictor Variables
Koon, Sharon; Petscher, Yaacov; Foorman, Barbara R. – Regional Educational Laboratory Southeast, 2014
This study examines whether the classification and regression tree (CART) model improves the early identification of students at risk for reading comprehension difficulties compared with the more difficult to interpret logistic regression model. CART is a type of predictive modeling that relies on nonparametric techniques. It presents results in…
Descriptors: At Risk Students, Reading Difficulties, Identification, Reading Comprehension
