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resource research Public Programs
Described by Wohlwend, Peppler, Keune and Thompson (2017) as “a range of activities that blend design and technology, including textile crafts, robotics, electronics, digital fabrication, mechanical repair or creation, tinkering with everyday appliances, digital storytelling, arts and crafts—in short, fabricating with new technologies to create almost anything” (p. 445), making can open new possibilities for applied, interdisciplinary learning in science, technology, engineering and mathematics (Martin, 2015), in ways that decenter and democratize access to ideas, and promote the construction
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TEAM MEMBERS: Jill Castek Michelle Schira Hagerman Rebecca Woodland
resource research Media and Technology
Science Hunters is an outreach project which employs the computer game Minecraft to engage children with scientific learning and research through school visits, events, and extracurricular clubs. We principally target children who may experience barriers to accessing Higher Education, including low socioeconomic status, being the first in their family to attend university, and disability (including Special Educational Needs). The Minecraft platform encourages teamwork and makes science learning accessible and entertaining for children, irrespective of background. We employ a flexible approach
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TEAM MEMBERS: Laura Hobbs Carly Stevens Jackie Hartley Calum Hartley
resource evaluation Media and Technology
The independent evaluation firm Knight Williams, Inc. conducted a formative evaluation during Year 2 of the SciGirls CONNECT2 program in order to gather information about the partner educators’ use of, reflections on, and recommendations relating to the draft updated SciGirls Strategies. The evaluation aimed for two educators from each of 14 partner organizations – specifically the program leader and one educator who was familiar with the original SciGirls Seven – to provide reflections on their use of the draft SciGirls Strategies in their programs through an online survey and follow-up
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resource research Public Programs
This zine summarizes the book "Equity, Exclusion and Everyday Science Learning." It provides an accessible graphic introduction to how inequalities in everyday science learning happen, so that we can get to a place where everyday science learning practices could disrupt and transform social inequities rather than reproducing them.
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TEAM MEMBERS: emily dawson Sophie Wang
resource research Professional Development, Conferences, and Networks
The challenge to the science communication field put forward by Bruce Lewenstein, of the sector becoming a ‘ghetto’ of women's over-representation (see the commentary by Lewenstein in this issue), is a very timely wake-up call. This Commentary however, elaborates and frames the pivotal and constructivist premises on which this phenomenon should be interrogated and understood on many levels. It is critical that we undertake a deeper introspection, beyond just simplistic head counts of the number of women and men in the field, if we are to make sense of the seeming paradoxes that pervade the
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TEAM MEMBERS: Elizabeth Rasekoala
resource research Professional Development, Conferences, and Networks
There is a significant under-representation of women in STEM which is damaging societal progress for democratic, utilitarian, and equity reasons. However, changing stereotypes in STEM requires a solution denied by the problem — more visible female role models. Science communicators are critical to curate the conditions to bypass this Catch 22. We propose that enhancing self-efficacy for female scientists and engineers to mentor others will generate more supportive workplaces. Similarly, enhancing self-efficacy for public engagement improves the visibility of diverse female role models for
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resource project Media and Technology
Science television shows are an important source of informal learning and enrichment for preschool-aged children. However, one limitation of television programming is that it is largely a one-way, non-interactive medium. Research suggests that children learn best through active engagement with content, and that parents can make TV watching more interactive by co-viewing and talking with their children. However, many parents and other adults may lack the time or experience and comfort with science language and content to provide critcial just-in-time support for their children. This study seeks to take advantage of recent advances in artificial intelligence that now allow children to enjoyably interact with automated conversational agents. The research team will explore whether such conversational agents, embedded as an on-screen character in a science video, can meaningfully interact with children about the science content of the show by simulating the benefits of co-viewing with an adult. If successful, the project could lay the foundation for a new genre of science shows, helping transform video watching into more interactive and engaging learning experiences. This project is funded by the Advancing Informal STEM Learning (AISL) program, which seeks to advance new approaches to, and evidence-based understanding of, the design and development of STEM learning in informal environments. This includes providing multiple pathways for broadening access to and engagement in STEM learning experiences, advancing innovative research on and assessment of STEM learning in informal environments, and developing understandings of deeper learning by participants.

This project will develop interactive videos incorporating a conversational agent in three 11-minute episodes of a future children's animated television program. The videos will enable children to speak with the main character of the show as the character solves everyday science mysteries, thus priming children to engage in observation, prediction, pattern finding, and problem solving through scaffolded conversation. This study will be carried out in two iterative cycles with the goal of developing and testing the embedded conversational function for each episode. In each cycle, the project team, which includes experts in children's TV production, as well as educational and HCI researchers will develop the storyboard and conversation prompts and follow-ups, create animated videos based on the revised script, and create a mobile application of the interactive video integrated with the conversational agent. Field testing with 10 children will be conducted to iteratively improve the embedded conversational function. In the pilot testing stage, a controlled study will be conducted with 30 children in each group (N=120): 1) watching the episode with the embedded conversational function; 2) watching the episode with a human partner carrying out the dialogue in the script rather than the virtual character; 3) watching the episode with pseudo-interaction, in which the animated character asks questions but does not attempt to understand or personally respond to children's answers; and 4) watching the episode with no dialogue. Data collected from the experiments will be used to examine whether and in what ways use of a conversational agent affects children's engagement, attention, communication strategies, perceptions, and science learning, and whether these effects vary by children's age, gender, socioeconomic status, language background, and oral language proficiency in English. The project will provide a comprehensive evaluation of the feasibility and potential of incorporating conversational agents into screen media to foster young children's STEM learning and engagement.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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TEAM MEMBERS: Mark Warschauer Daniel Whiteson Sara DeWitt Andres Bustamante Abby Jenkins
resource research Public Programs
Parents are vital players in raising youth’s awareness of the value of STEM and in brokering their participation in activities that build STEM competencies. STEM Next Opportunity Fund is committed to ensuring that every child – especially girls, youth of color, kids in low-income communities, and youth with disabilities – has access to STEM experiences and the social capital that lead to greater opportunities in academics and careers. We believe family engagement is a game changer and offer this white paper to raise awareness of its importance and amplify promising practices.
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resource research Informal/Formal Connections
Fostering interest in science is critical for broadening engagement with science topics, careers, and hobbies. Research suggests that these interests begin to form as early as preschool and have long-term implications for participation and learning. However, scholars have only speculated on the processes that shape interest development at this age, when children’s exposure to science primarily occurs during family-based learning experiences. Moving beyond speculation, we conducted a qualitative study with seven low-income mothers and their four-year-old daughters from Head Start to (a) develop
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resource research Public Programs
In this participatory research project, a partnership between the Kitty Andersen Youth Science Center (KAYSC) and the Department of Evaluation and Research in Learning at the Science Museum of Minnesota, participants are working to rename and reclaim theory and research methods so as to foster relevance and equity. We have renamed the theory of science capital: "science capitxl" signals its roots in equity work and invites questioning. We are using what we have called "embedded research practices" for data generation and analysis. This poster was shared at the 2019 AISL PI meeting.
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TEAM MEMBERS: Shannon McManimon
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