GRACE interns GIS-based youth neighborhood and health research StoryMaps

News

We had a full house at the Great Lakes Research Center last night to celebrate the GRACE interns, who presented their data collection and analysis about the streets, parks, buildings, and social activity that influence our daily lives in the Keweenaw. We are so proud of their smart questions and polished presentations!

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Career Maturity Inventory Form C

Instruments

It is a 24-item scale that measures change along four scales of student career awareness and planning, along with open-response items about specific schooling intentions and career aspirations. Four scales are Concern, Curiosity, Confidence, and Consultation.

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Measuring Cognitive and Psychological Engagement: Validation of the Student Engagement Instrument

Instruments

A review of relevant literatures led to the construction of a self-report instrument designed to measure two subtypes of student engagement with school: cognitive and psychological engagement. The psychometric properties of this measure, the Student Engagement Instrument (SEI), were assessed based on responses of an ethnically and economically diverse urban sample of 1931 ninth grade students. Factor structures were obtained using exploratory factor analyses (EFAs) on half of the dataset, with model fit examined using confirmatory factor analyses (CFAs) on the other half of the dataset. The

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Style Engineers

Curricular Materials

Style Engineers is a program designed for young girls who love fashion as much as we do! We think the real magic of fashion is how science, technology, engineering, and mathematicsare part of the process of fashion design. On this site, you will find a series of activities designed to explore the science and technology of fashion.

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A School Connectedness Scale for Use with Adolescents

Instruments

Evaluators are frequently asked to assess the effectiveness of school programs implemented to improve academic achievement. School connectedness has been shown to be directly related to academic achievement and is therefore of interest to evaluators. The construct of school connectedness has been shown to consist of 3 elements: connectedness to adults in schools, connectedness to peers, and connectedness to the school. This paper reports the psychometric properties and factor analyses findings from a School Connectedness Scale (SCS) given to adolescents in 2 very different high schools in the

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Growing Plants and Scientists: Fostering Positive Attitudes toward Science among All Participants in an Afterschool Hydroponics Program

Publications

This study examines an out-of-school time program targeting elementary-aged youth from populations that are typically underrepresented in science fields (primarily African-American, Hispanic, and/or English Language Learner participants). The program aimed to foster positive attitudes toward science among youth by engaging them in growing plants hydroponically (in water without soil). Participants’ attitudes toward science, including anxiety, desire, and self-concept, were examined through pre-post survey data (n = 234) over the course of an afterschool program at three separate sites. Data

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Social Justice Driven STEM Learning (STEMJ): A Curricular Framework for Teaching STEM in a Social Justice Driven, Urban, College Access Program

Publications

This article presents the curricular framework for a social justice driven STEM curriculum (i.e., STEMJ) within an out-of-school time program for Boston Public high school students (i.e., College Bound) at Boston College. Starting with a discussion of the authors’ ideological positionality within critical social justice discourses, the authors share how Bronfenbrenner’s (1994) General Ecological Model provides a conceptual framework for operationalizing social justice inquiry with and through STEM. Positioning this curriculum within the College Bound program’s overall design gives readers a

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Techno-Social Change Agents: Fostering Activist Dispositions Among Girls of Color

Publications

Discourse about girls and women of color in technology has followed the familiar path of using a single-unit analysis to explain disparity. Consequently, approaches to “motivate” girls of color overemphasize gender and engage in technological fetishization without fully considering how race, gender, class, and technology are co-constituted. Drawing on critical feminist theory, social justice education, and science and technology studies, this essay offers a critique of neoliberal approaches to technology education for girls of color and provides a broad overview of the conceptual catalysts

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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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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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