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Journal ArticleDOI

Why Students Choose STEM Majors Motivation, High School Learning, and Postsecondary Context of Support

Xueli Wang
- 01 Oct 2013 - 
- Vol. 50, Iss: 5, pp 1081-1121
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 ...

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Citations
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STEM Education: A New Journey

TL;DR: This paper presented a curriculum and instruction framework that outlines how teaching and learning about complex systems in high school science classroom contexts can be done and provided examples of how the framework is translated into practice.
Book ChapterDOI

A Study on Pupils’ Motivation to Pursue a STEM Career

TL;DR: In this article, the authors analyzed data from 693 pupils about their interest in a STEM career as well as their attitude towards STEM in general, and analyzed the influence of the participation in robotics workshops.
DissertationDOI

More Useful, or Not so Bad? Evaluating the Effects of Interventions to Reduce Perceived Cost and Increase Utility Value with College Physics Students.

TL;DR: Rosenzweig et al. as mentioned in this paper evaluated the effects of two interventions designed to target students' motivation to learn in an introductory college physics course, one intervention was designed to improve students' perceptions of utility value and the other was designed by reducing students' perception of cost.
Journal ArticleDOI

Across the Urban Divide: STEM Pipeline Engagement among Nonmetropolitan Students

TL;DR: In this article, the authors assess interest in and progression toward postsecondary STEM credentials among non-metropolitan high school students (including rural areas and small towns) in the USA and find that there are unique barriers on route to college for nonmetropolitan students.
Journal ArticleDOI

Fen, Teknoloji, Matematik ve Mühendislik Alanlarını Seçmeyi Planlama: Meslek Seçimine İlişkin İnançlar

TL;DR: Veriler, Meslek Secimine Iliskin Dusunceler Olcegi ve Kisisel Bilgi Formu araciligi ile elde edilmistir as mentioned in this paper.
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.
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