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The Association between Female Students' Computer Science Education and STEM Major Selection: Multilevel Structural Equation Modeling
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Lee, Ahlam – Computers in the Schools, 2020
Concerning the underrepresentation of female students in computer science (CS) classes at the K-12 level and math-intensive STEM fields, this study investigated the relationship between female students earning less credits in CS courses during high school and their STEM major choices. Data were drawn from a nationally representative sample of U.S.…
Descriptors: Females, Gender Differences, Computer Science Education, Disproportionate Representation
Multilevel Structural Equation Models for Investigating the Effects of Computer-Based Learning in Math Classrooms on Science Technology Engineering and Math (STEM) Major Selection in 4-Year Postsecondary Institutions
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Lee, Ahlam – Teachers College Record, 2017
Background/Context: Because of the growing concern over the decline of bachelor degree recipients in the disciplines of science, technology, engineering, and math (STEM) in the U.S., several studies have been devoted to identifying the factors that affect students' STEM major choices. A majority of these studies have focused on factors relevant to…
Descriptors: Bachelors Degrees, Structural Equation Models, STEM Education, Mathematics Instruction
Determining the Effects of Pre-College STEM Contexts on STEM Major Choices in 4-Year Postsecondary Institutions Using Multilevel Structural Equation Modeling
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Lee, Ahlam – Journal of Pre-College Engineering Education Research, 2013
Many STEM studies have focused on traditional learning contexts, such as math- and science-related learning factors, as pre-college learning predictors for STEM major choices in colleges. Few studies have considered a progressive learning activity embedded within STEM contexts. This study chose computer-based learning activities in K-12 math…
Descriptors: STEM Education, Predictor Variables, High School Students, Majors (Students)