Students Attitudes towards STEM survey

Instruments

The Upper Elementary (4-5th) and the Middle and High School (6-12th) Student Attitudes toward STEM Surveys (S-STEM) each contain four scales (sets of surveys items that most confidently describe a single characteristic of the survey-taker when the responses to these items are calculated as a single result). The first five scales consists of Likert-scale questions which ask the respondent about their confidence and attitudes toward math, science, engineering and technology, and 21st century learning respectively. Final items in the surveys ask students about their attitudes toward 12 different

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STEM Pathways: Examining Persistence in Rigorous Math and Science Course Taking

Publications

From 2006 to 2012, Florida Statute §1003.4156 required middle school students to complete electronic personal education planners (ePEPs) before promotion to ninth grade. The ePEP helped them identify programs of study and required high school coursework to accomplish their postsecondary education and career goals. During the same period Florida required completion of the ePEP, Florida’s Career and Professional Education Act stimulated a rapid increase in the number of statewide high school career academies. Students with interests in STEM careers created STEM-focused ePEPs and may have

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Traversing a Political Pipeline: An Intersectional and Social Constructionist Approach Toward Technology Education for Girls of Color

Publications

First, this paper argues that applications of SCOT in feminist science and technology studies (STS) have largely focused on analyzing how gender and technology are coproduced, resulting in lack of scholarship that examines the mutually constitutive relationship between technology, gender and other intersecting identity categories, such as race and class. Second, this paper argues that an intersectional view of technology can dismantle the language of objectivity deeply embedded in technological artifacts by revealing how gender, race, and class are integral components of “the social shaping of

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Educational Leadership and Planning for Digital Manufacturing in Schools

Publications

Desktop manufacturing systems such as 3D printers and computer-controlled die cutters have recently become affordable in schools. Because this technology is evolving rapidly, considerable experimentation is occurring as teachers explore opportunities to enhance learning across a range of content areas. Central coordination and planning can facilitate effective use of digital manufacturing technologies in schools. Factors that should be considered include acquisition of technology, placement, and support of the technology, safety, alignment with educational standards and learning objectives

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Technologies to Support Engineering Education

Publications

This entry describes technologies that support engineering education, such as 3D printing, computer-assisted design, electromechanical systems and instrumentation, and control systems. Engineering education is one of four disciplines within STEM (science, technology, engineering, and mathematics) education. While science and mathematics are commonly regarded as core subjects in schools, engineering has had a less prominent role in K–12 education. However, engineering is increasingly used to teach science in context. This can increase students’ depth of understanding, allowing them to apply

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Computing with a Community Focus: Outcomes from an App Inventor Summer Camp for Middle School Students

Publications

This paper describes the design and evaluation of a one-week App Inventor summer camp for middle school students with an explicit focus on addressing local community needs. The community focus of the camp was designed to appeal to a broad range of students. We conducted an in-depth interview study to examine its impact on students' attitudes and perceptions, and supplemented this with results from project evaluation. Our results indicate that students had positive experiences in learning and creating real apps for solving community problems. Focusing on local community needs can also help to

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Gender Differences in Conceptualizations of STEM Career Interest: Complementary Perspectives from Data Mining, Multivariate Data Analysis and Multidimensional Scaling

Publications

Data gathered from 325 middle school students in four U.S. states indicate that both male (p .0005, RSQ = .33) and female (p .0005, RSQ = .36) career aspirations for being a scientist are predictable based on knowledge of dispositions toward mathematics, science and engineering, plus self-reported creative tendencies. For males, strong predictors are creative tendencies (beta = .348) and dispositions toward science (beta = .326), while dispositions toward mathematics is a weaker (beta = .137) but still a significant (p .05) predictor. For females, significant (p .05) predictors ordered

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What Makes for Powerful Classrooms, and How Can We Support Teachers in Creating Them? A Story of Research and Practice, Productively Intertwined

Publications

This article and my career as an educational researcher are grounded in two fundamental assumptions: (a) that research and practice can and should live in productive synergy, with each enhancing the other, and (b) that research focused on teaching and learning in a particular discipline can, if carefully framed, yield insights that have implications across a broad spectrum of disciplines. This article begins by describing in brief two bodies of work that exemplify these two fundamental assumptions. I then elaborate on a third example, the development of a new set of tools for understanding and

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Building the Foundational Skills Needed for Success in Work at the Human-Technology Frontier

Publications
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Building the Foundational Skills Needed for Success in Work at the Human-Technology Frontier

The proliferation of new technologies has changed the way we live, learn, and work. Although the future of work is unclear, thought leaders, including the National Science Foundation (NSF), assert that artificial intelligence, the Internet of Things, robotics, and machine learning will be ubiquitous in tomorrow’s workplaces. This vision of the future includes a new machine age, where various technologies (sensors, communication, computation, and intelligence) will be embedded around, on, and in us; where humans will shape technology and technology will shape human interaction; and where

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