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resource research Public Programs
This paper contributes a theoretical framework informed by historical, philosophical and ethnographic studies of science practice to argue that data should be considered to be actively produced, rather than passively collected. We further argue that traditional school science laboratory investigations misconstrue the nature of data and overly constrain student agency in their production. We use our “Data Production” framework to analyze activity of and interviews with high school students who created data using sensors and software in a ninth-grade integrated science class. To understand the
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TEAM MEMBERS: Lisa Hardy Colin Dixon Sherry Hsi
resource research Public Programs
This video presents reflections on SCIENCES: Supporting a Community’s Informal Education Needs—Confidence and Empowerment in STEM. SCIENCES brought together Eden Place Nature Center and the Chicago Zoological Society to collaboratively support environmental conservation and lifelong scientific learning in the Fuller Park neighborhood of Chicago. The SCIENCES project began in 2013 and focused on adapting existing educational programs into a suite of environmentally focused science learning opportunities for professional, student, and public audiences in the Fuller Park neighborhood
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resource research Public Programs
In The Nature of Community: SCIENCES, we share the lessons learned from an innovative partnership designed to leverage the strengths of two nonprofit organizations—a large cultural institution and a smaller, deeply-rooted community-based organization, both of which offer informal science education expertise. You’ll read first-hand reflections of how staff members, community leaders and members, children, and adults experienced this partnership: the expectations, surprises, challenges, successes, and lessons learned. We hope the description of this partnership inspires other organizations to
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resource project Games, Simulations, and Interactives
EMERGE in STEM (Education for Minorities to Effectively Raise Graduation and Employment in STEM) is a NSF INCLUDES Design and Development Launch Pilot. This project addresses the broadening participation challenge of increasing participation of women, the at-risk minority population, and the deaf in the STEM workforce. The project incorporates in and out-of-school career awareness activities for grades 4-12 in a high poverty community in Guilford County, North Carolina. EMERGE in STEM brings together a constellation of existing community partners from all three sectors (public, private, government) to leverage and expand mutually reinforcing STEM career awareness and workforce development activities in new ways by using a collective impact approach.

This project builds on a local network to infuse career exposure elements into the existing mutually reinforcing STEM activities and interventions in the community. A STEM education and career exposure software, Learning Blade, will be used to reach approximately 15,000 students. A shared measurement system and assessment process will contribute to the evaluation of the effectiveness of the collective impact strategies, the implementation of mutually reinforcing activities across the partnership and the extent to which project efforts attract students to consider STEM careers.
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TEAM MEMBERS: Gregory Monty Margaret Kanipes Malcolm Schug Steven Jiang
resource project Higher Education Programs
The Sustainability Teams Empower and Amplify Membership in STEM (S-TEAMS), an NSF INCLUDES Design and Development Launch Pilot project, will tackle the problem of persistent underrepresentation by low-income, minority, and women students in STEM disciplines and careers through transdisciplinary teamwork. As science is increasingly done in teams, collaborations bring diversity to research. Diverse interactions can support critical thinking, problem-solving, and is a priority among STEM disciplines. By exploring a set of individual contributors that can be effect change through collective impact, this project will explore alternative approaches to broadly enhance diversity in STEM, such as sense of community and perceived program benefit. The S-TEAMS project relies on the use of sustainability as the organizing frame for the deployment of learning communities (teams) that engage deeply with active learning. Studies on the issue of underrepresentation often cite a feeling of isolation and lack of academically supportive networks with other students like themselves as major reasons for a disinclination to pursue education and careers in STEM, even as the numbers of underrepresented groups are increasing in colleges and universities across the country. The growth of sustainability science provides an excellent opportunity to include students from underrepresented groups in supportive teams working together on problems that require expertise in multiple disciplines. Participating students will develop professional skills and strengthen STEM- and sustainability-specific skills through real-world experience in problem solving and team science. Ultimately this project is expected to help increase the number of qualified professionals in the field of sustainability and the number of minorities in the STEM professions.

While there is certainly a clear need to improve engagement and retention of underrepresented groups across the entire spectrum of STEM education - from K-12 through graduate education, and on through career choices - the explicit focus here is on the undergraduate piece of this critical issue. This approach to teamwork makes STEM socialization integral to the active learning process. Five-member transdisciplinary teams, from disciplines such as biology, chemistry, computer and information sciences, geography, geology, mathematics, physics, and sustainability science, will work together for ten weeks in summer 2018 on real-world projects with corporations, government organizations, and nongovernment organizations. Sustainability teams with low participation by underrepresented groups will be compared to those with high representation to gather insights regarding individual and collective engagement, productivity, and ongoing interest in STEM. Such insights will be used to scale up the effort through partnership with New Jersey Higher Education Partnership for Sustainability (NJHEPS).
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TEAM MEMBERS: Amy Tuininga Ashwani Vasishth Pankaj Lai
resource project Public Programs
As part of its overall strategy to enhance learning in informal environments, the Advancing Informal STEM Learning (AISL) program funds innovative research, approaches and resources for use in a variety of settings. The project will collaboratively design, test and study effective and efficient ways to develop embedded assessments (EAs) of citizen science (CS) volunteer scientific inquiry skills in order to better understand the impact of these CS experiences on volunteer scientific inquiry abilities. EAs are assessment activities that are integrated into the learning experience and allow learners to demonstrate their competencies in an unobtrusive way. The acquisition of scientific inquiry skills is an essential, even defining, characteristic of citizen science experiences that has a direct influence on data quality. Methods for assessing the direct impact of CS on volunteers' scientific inquiry skills are limited. The project will result in EA measures designed for use by diverse CS projects, strategies that CS projects can use to develop EA assessment tools, and research findings that document opportunities, supports and barriers of this innovative method across a range of CS contexts. Findings and initial resources will be shared with the broad array of stakeholders in CS through conferences, workshops, peer-reviewed publication, community websites and other relevant venues. The results of this work also have the potential to generalize to other informal science learning experiences that engage the public in science The project will address two research questions: (1) What processes are useful for developing broadly applicable EA methods or measures? and (2) What can we learn about gains in volunteers' scientific inquiry skills when citizen science organizations use EA? These will be addressed through design-based research focused on two streamlining strategies. For the reframing data validation strategy, six leaders from five established citizen science projects will conduct secondary analyses of their existing databases to uncover the skill gains of CS volunteers that are currently unexplored in their data. For the common measure strategy, ten CS projects will collaborate to create and test common EA measures of select identification-based skills. Data will be gathered through meeting notes, participant interviews and action plans, and volunteer skill gains to capture process and products of each strategy. Data will be analyzed using grounded theory, multiple process techniques, multilevel models, and repeated-measures analysis of variance. The design-based-research framework will significantly expand project impacts by jump-starting evaluation of the participating CS projects and by producing initial resources for two distinct EA strategies that have the potential to dramatically alter practice and impact citizen science efforts to ultimately enable more people to learn by contributing to the science endeavor. The project will directly equip the 15 participating citizen-science projects with authentic performance tools to assess the quality of their programing, which will expand their understanding of CS volunteer skills and help them better recruit and support their varied audiences (including rural, low-income and tribal communities).
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