Journal ArticleDOI
Why Students Choose STEM Majors Motivation, High School Learning, and Postsecondary Context of Support
TLDR
In this article, a conceptual framework for understanding the entrance into science, technology, engineering, and mathematics (STEM) majors by recent high school graduates attending 4-year institutions was proposed.Abstract:
This study draws upon social cognitive career theory and higher education literature to test a conceptual framework for understanding the entrance into science, technology, engineering, and mathematics (STEM) majors by recent high school graduates attending 4-year institutions. Results suggest that choosing a STEM major is directly influenced by intent to major in STEM, high school math achievement, and initial postsecondary experiences, such as academic interaction and financial aid receipt. Exerting the largest impact on STEM entrance, intent to major in STEM is directly affected by 12th-grade math achievement, exposure to math and science courses, and math self-efficacy beliefs—all three subject to the influence of early achievement in and attitudes toward math. Multiple-group structural equation modeling analyses indicated heterogeneous effects of math achievement and exposure to math and science across racial groups, with their positive impact on STEM intent accruing most to White students and least ...read more
Citations
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Journal ArticleDOI
Expanding STEM opportunities through inclusive STEM‐focused high schools
TL;DR: This study examines the central assumption behind inclusive STEM high schools—that they provide students from subgroups underrepresented in STEM with experiences that equip them academically and attitudinally to enter and stay in the STEM pipeline.
Journal ArticleDOI
The roles of parents in cultivating children's interest towards science learning and careers
TL;DR: In this paper, the authors investigated the opportunities provided by parents to their children with the aim of facilitating science learning and promoting careers related to science and found that the parents had positive values toward science.
Journal ArticleDOI
From quality to outcomes: a national study of afterschool STEM programming
Patricia J. Allen,Rong Chang,Britt K. Gorrall,Luke Waggenspack,Eriko Fukuda,Todd D. Little,Todd D. Little,Gil G. Noam +7 more
TL;DR: This article examined national trends in STEM program quality, youth outcomes, and the connections between these two data sources and found significant, strong correlations between STEM and SEL/twenty-first-century outcomes reported by youth.
Journal ArticleDOI
Pressurizing the STEM Pipeline: an Expectancy-Value Theory Analysis of Youths’ STEM Attitudes
TL;DR: In this article, the authors used expectancy-value theory (EVT) to examine the STEM attitudes of young students directly and found that students' academic-related expectancies for success and subjective task values will be associated with an increase in STEM attitudes.
Journal Article
Maker Principles and Technologies in Teacher Education: A National Survey
TL;DR: This article found that approximately half of teacher education programs have at least some opportunities for undergraduates and graduates to learn about teaching and learning with maker technologies and principles, and there is desire among programs to increase these opportunities, as well as their maker technology infrastructure.
References
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Book
Principles and Practice of Structural Equation Modeling
TL;DR: The book aims to provide the skills necessary to begin to use SEM in research and to interpret and critique the use of method by others.
Book
Structural Equation Modeling With Mplus: Basic Concepts, Applications, And Programming
TL;DR: Structural Equation Models: The Basics using the EQS Program and testing for Construct Validity: The Multitrait-Multimethod Model and Change Over Time: The Latent Growth Curve Model.
Book
Structural equation modeling with AMOS: basic concepts, applications, and programming
TL;DR: In this article, the EQS program is used to test the factorial verifiability of a theoretical construct and its invariance to a Causal Structure using the First-Order CFA model.
Book
Social Foundations of Thought and Action: A Social Cognitive Theory
TL;DR: In this paper, models of Human Nature and Casualty are used to model human nature and human health, and a set of self-regulatory mechanisms are proposed. But they do not consider the role of cognitive regulators.
Journal ArticleDOI
Power analysis and determination of sample size for covariance structure modeling.
TL;DR: In this article, a framework for hypothesis testing and power analysis in the assessment of fit of covariance structure models is presented, where the value of confidence intervals for fit indices is emphasized.