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
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Promoting Geoscience STEM Interest in Native American Students: GIS, Geovisualization and Reconceptualizing Spatial Thinking Skills
TL;DR: In this paper, a review of the literature on geoscience education offers three recommendations to promote geosciences and STEM interest among Native American youth, including a place-based educational model that can appeal to Native American students' connection to local places.
Journal ArticleDOI
Interdisciplinary Science and Research: A Novel Program to Advance Student Preparation in STEM
TL;DR: In this article, the authors describe the design and implementation of a rigorous, interdisciplinary science and research program (ISR) in two local high schools (HS-S and HS-H), adapted from the successful School for Science and Math at Vanderbilt program, providing seven courses over four years that focus on the development of critical thinking skills and the ability to construct and perform hypothesis driven research projects.
Journal ArticleDOI
Efficacy of a College and Career Readiness Program: Bridge to Employment
Journal ArticleDOI
Who Is Part of the “Mindset Context”? The Unique Roles of Perceived Professor and Peer Mindsets in Undergraduate Engineering Students’ Motivation and Belonging
TL;DR: This article found that students perceived their peers to endorse stronger fixed beliefs about intelligence and more negative beliefs about effort and failure, what they refer to as "unproductive mindsets", which negatively predicted their motivation and sense of belonging, even controlling for students' own mindsets.
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The Impact of Teacher Quality on Student Motivation, Achievement, and Persistence in Science and Mathematics
Adem Ekmekci,Danya M. Serrano +1 more
TL;DR: In this article , the authors examined the extent to which high school students' mathematics and science teachers' beliefs, professional background, and instructional practices relate to students' motivation, achievement, and future career plans in STEM using a nationally representative, large dataset: High School Longitudinal Study 2009.
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.