The LiFE Project, an NSF INCLUDES Design and Development Launch Pilot, will investigate and design a collaborative effort to counter the stereotypical expectation that boys are "naturally" better at science and math which becomes a self-fulfilling prophecy, silently shaping the girls'own perceptions of their ability. LiFE collaborators will address this problem at its source: the early learning experiences of elementary school girls. The elementary-middle school period is critical because by 8th grade, many girls have left the STEM pathway forever. The key to reversing the trend is finding effective ways to showcase STEM as a collaborative, people-rich space in which girls can participate together, be themselves, and engage in exploration. Research indicates that girls prefer collaborative activities that can make a difference in the world. Partnering with a coalition of economically and racially diverse New Jersey elementary schools, LiFE will employ "iSTEAM" learning strategies that encourage girls to apply the tools of various disciplines to investigate and solve real-world problems in an open environment of innovation, collaboration, and communication. This approach promises to be especially effective in engaging girls.
LiFE will build on a successful Girls Science Club (GSC) model that introduces girls in grades 3-4 to hands-on iSTEAM exploration activities using Problem/Project-Based Learning strategies. Additional activities will leverage the expertise of the project's corporate/government partners (including Apple and USARMY) to build communication and leadership skills. LiFE will sustain the GSC's benefits by developing clubs for grades 5-6 involving enriched content and long-term independent projects. Eventually, a tiered peer network will link girls from elementary school through women college students and female STEM professionals--each tier mentoring the tiers below. This network will sustain a crucial "sense of community" to retain women in STEM. Within LiFE's social innovation framework approach, participating districts will tailor the GSC to their community while also working together toward shared common goals. LiFE will study the impact of GSCs on persistence of girls' interest in STEM into grade 7. Based on this research, LiFE will develop a cost-effective template that can be replicated across the US. LiFE will bring problem-based iSTEAM concepts to girls of all academic levels in their elementary schools years while, having a community focus with participant-developed projects in a non-competitive environment and leveraging the resources of academic, corporate and government partners to foster broader participation by women in STEM careers.
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:
Bruce BukietJames LipumaNancy Steffen-Fluhr
resourceprojectGames, 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 MontyMargaret KanipesMalcolm SchugSteven Jiang
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 TuiningaAshwani VasishthPankaj Lai
This project is a Design and Development Launch Pilot (DDLP) of the NSF INCLUDES program. The goal of the project is to enhance the knowledge and applicability of science, technology, engineering, and mathematics (STEM) for a broad cross-section of people living in the U.S,-Affiliated Pacific Islands. The focus will be on water resources, which is an extremely important topic for this region and equally relevant nationally. The project will engage local community groups and schools in water monitoring, sampling, and analysis, in order to promote the benefits of science education and careers among a population that is underrepresented in these areas. Moreover, the project will improve the capabilities of the island residents for making decisions about sustainable use and protection of these scarce resources. A functioning network will be established among the islands that will have a positive impact on the health and well-being of the residents.
This project will use water as a highly relevant topic in order to involve a wide range of individuals in both general STEM learning and the basic scientific principles as applied to water resources. Specific aspects include engaging K-12, higher education, informal educators and community members to manage water resources in a sustainable fashion that will reduce disaster risk. In addition, the project will empower local communities through water literacy to make better informed, evidence-based decisions that balance the needs of diverse stakeholder groups. The overarching goal is to further advance the inclusion of underrepresented learners in STEM fields. Benefits to society will accrue by: increasing STEM learning opportunities for ~6,500 students from underserved and underrepresented Indigenous Pacific Islanders that will enhance their eligibility for STEM careers; building community resiliency through a collective impact network to resolve emerging water crises; and fostering collaboration among different constituencies in remote communities to make better-informed decisions that reflect the needs and constraints of diverse interests.
Community colleges play a vital role in educating undergraduate students. These higher education institutions educate nearly half of the nation's undergraduate students, particularly among low-income and first-generation students and students of color. Because of the rich diversity that currently exists at these institutional-types, there are immense opportunities to broadening participation throughout the engineering enterprise. To this end, the investigator outlines a joint collaboration with five community colleges, three school systems, two college career academies, and a state partner in Georgia - referred as the Georgia Science, Technology, and Engineering Partnerships for Success (GA STEPS) - to provide dual enrollment classes in career pathways for Georgia high school students in grades 9-12, thereby allowing secondary students to earn college credit. The Georgia STEPS program proposes to leverage mechatronics engineering as a means for broadening engineering participation for community colleges and underserved, underrepresented populations in 48 rural counties to increase engineering awareness, skills training and college and career readiness. The project builds on an existing collaboration that has developed successful engineering opportunities at the community college level, by including a wider regional network of rural Georgia counties and high schools. Further, this project has immense potential to transform engineering education and course-taking for students at the secondary and postsecondary level in Georgia and beyond. It has potential great potential to be scaled and replicated at other placed around the United States.
The project's intellectual merit and innovation is that it leverages a successful mechatronics engineering curriculum that supports engineering skills that support local industry as well as supporting innovations in the mechatronics field. The project includes a collective impact framework, involving various stakeholders and aligning quantitative and qualitative metrics and measurable objectives. The broader impacts of this project is that it increases the engineering knowledge and skills of underserved, underrepresented students that are enrolled in community colleges. Also, the impact to rural communities in Georgia support the fact that this project would meet broader groups that can be positively impacted by this type of collaborative. The ability to provide different parts of this engineering discipline across broad audiences in community colleges - that support underrepresented groups understanding of mechatronics engineering - is broadly useful to the field of engineering.
This article discusses Purdue University's Center for Global Soundscapes' five-day camp program for students with visual impairments. The program follows an inquiry-based learning approach to explore concepts fundamental to soundscape ecology.
There is a growing need for citizens to be able to work with data and consider how data is represented. This work employs a design, make, play framework to create data modeling learning experiences for young children and their caregivers in an informal setting. The project develops and tests a curriculum for a workshop series for 5-8 year old children to engage them in playful exploration of data modeling. Children engage in data collection, data representation, and data analysis by drawing on their own experiences of museum exhibitions. The curriculum supports developing children's interest and engagement with data science and data literacy, which are foundational knowledge for a range of STEM careers and disciplines. This project advances efforts of the Innovative Technology Experiences for Students and Teachers (ITEST) program to better understand and promote practices that increase students' motivations and capacities to pursue careers in fields of science, technology, engineering, or mathematics (STEM).
The project is grounded in a theoretical framework for young children's learning that focus on playful exploration, design, and building on children's own experiences and questions. The research examines how the curriculum needs to be designed to support families in data modeling, foster engagement in data modeling by both younger (ages 5-6) and older (ages 7-8) children, and provide evidence of active approaches to learning about STEM. The design and development project tests and investigates the materials using a design-based research framework. Children who participate in the workshop series should increase their confidence in solving problems, taking initiative, and drawing on available resources to pursue their own questions and respond to novel challenges. Data collected includes interviews with participants, artifacts of children's work throughout the series, and an observational instrument to document families' problem solving, persistence, and engagement with data science concepts.
Designing Our World (DOW) was a four-year NSF-funded initiative in which the Oregon Museum of Science and Industry (OMSI) sought to promote girls’ pursuit of engineering careers through community-based programming, exhibition development, and identity research. The overarching aim of DOW was to engage girls ages 9–14 with experiences that illuminate the social, personally relevant, and altruistic nature of engineering. In addition to programming for girls, the project also included workshops for parents/caregivers, professional development for staff from community partners; and an exhibition
Designing Our World (DOW) was a four-year NSF-funded initiative in which the Oregon Museum of Science and Industry (OMSI) sought to promote girls’ pursuit of engineering careers through community-based programming, exhibition development, and identity research. The overarching aim of DOW was to engage girls ages 9–14 with experiences that illuminate the social, personally relevant, and altruistic nature of engineering. In addition to programming for girls, the project also included workshops for parents/caregivers, professional development for staff from community partners; and an exhibition
As part of a grant from the National Science Foundation, the National Federation of the Blind (NFB) developed, implemented, and evaluated the National Center for Blind Youth in Science (NCBYS), a three-year full-scale development project to increase informal learning opportunities for blind youth in STEM. Through this grant, the NCBYS extended opportunities for informal science learning for the direct benefit of blind students by conducting six NFB STEM2U regional programs included programs for blind youth, their parents/caregivers, blind teen mentors (apprentices), and museum educators.
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 proposed project broadens the utility of Public Participation in Scientific Research (PPSR) approaches, which include citizen science, to support new angles in informal learning. It also extends previous work on interactive data visualizations in museums to encompass an element of active contribution to scientific data. To achieve these goals, this project will develop and research U!Scientist (pronounced `You, Scientist!')--a novel approach to using citizen science and learning research-based technology to engage museum visitors in learning about the process of science, shaping attitudes towards science, and science identity development. Through the U!Scientist multi-touch tabletop exhibit, visitors will: (1) interact with scientific data, (2) provide interpretations of data for direct use by scientists, (3) make statements based on evidence, and (4) visualize how their data classifications contribute to globe-spanning research projects. Visitors will also get to experience the process of science, gaining efficacy and confidence through these carefully designed interactions. This project brings together Zooniverse, experts in interactive design and learning based on large data visualizations in museums, and leaders in visitor experience and learning in science museums. Over fifty thousand museum visitors are expected to interact annually with U!Scientist through this effort. This impact will be multiplied by packaging the open-source platform so that others can easily instantiate U!Scientist at their institution.
The U!Scientist exhibit development process will follow rapid iterations of design, implementation, and revision driven by evaluation of experiences with museum visitors. It will involve close collaboration between specialists in computer science, human-computer interaction and educational design, informal science learning experts, and museum practitioners. The summative evaluation will be based on shadowing observations, U!Scientist and Zooniverse.org logfiles (i.e., automated collection of user behavior metrics), and surveys. Three key questions will be addressed through this effort: Q1) Will visitors participate in PPSR activities (via the U!Scientist touch table exhibit) on the museum floor, despite all the distractions and other learning opportunities competing for their attention? If so, who engages, for how long, and in what group configurations? Q2) If visitors do participate, will they re-engage with the content after the museum visit (i.e., continue on to Zooniverse.org)? Q3) Does engaging in PPSR via the touch table exhibit--with or without continued engagement in Zooniverse.org after the museum visit--lead to learning gains, improved understanding of the nature of science, improved attitudes towards science, and/or science identity development?
As the world is increasingly dependent upon computing and computational processes associated with data analysis, it is essential to gain a better understanding of the visualization technologies that are used to make meaning of massive scientific data. It is also essential that the infrastructure, the very means by which technologies are developed for improving the public's engagement in science itself, be better understood. Thus, this AISL Innovations in Development project will address the critical need for the public to learn how to interpret and understand highly complex and visualized scientific data. The project will design, develop and study a new technology platform, xMacroscope, as a learning tool that will allow visitors at the Science Museum of Minnesota and the Center of Science and Industry, to create, view, understand, and interact with different data sets using diverse visualization types. The xMacroscope will support rapid research prototyping of public experiences at selected exhibits, such as collecting data on a runner's speed and height and the visualized representation of such data. The xMacroscope will provide research opportunities for exhibit designers, education researchers, and learning scientists to study diverse audiences at science centers in order to understand how learning about data through the xMacroscope tool may inform definitions of data literacy. The research will advance the state of the art in visualization technology, which will have broad implications for teaching and learning of scientific data in both informal and formal learning environments. The project will lead to better understanding by science centers on how to present data to the public more effectively through visualizations that are based upon massive amounts of data. Technology results and research findings will be disseminated broadly through professional publications and presentations at science, education, and technology conferences. The 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. The project is driven by the assumption that in the digital information age, being able to create and interpret data visualizations is an important literacy for the public. The research will seek to define, measure, and advance data visualization literacy. The project will engage the public in using the xMacrocope at the Science Museum of Minnesota and at the Center of Science and Industry's (COSI) science museum and research center in Columbus, Ohio. In both museum settings the public will interact with different datasets and diverse types of visualizations. Using the xMacroscope platform, personal attributes and capabilities will be measured and personalized data visualizations will be constructed. Existing theories of learning (constructivist and constructionist) will be extended to capture the learning and use of data visualization literacy. In addition, the project team will conduct a meta-review related to different types of literacy and will produce a definition with performance measures to assess data visualization literacy - currently broadly defined in the project as the ability to read, understand, and create data visualizations. The research has potential for significant impact in the field of science and technology education and education research on visual learning. It will further our understanding of the nature of data visualization literacy learning and define opportunities for visualizing data in ways that are both personally and culturally meaningful. The project expects to advance the understanding of the role of personalization in the learning process using iterative design-based research methodologies to advance both theory and practice in informal learning settings. An iterative design process will be applied for addressing the research questions by correlating visualizations to individual actions and contributions, exploring meaning-making studies of visualization construction, and testing the xMacroscope under various conditions of crowdedness and busyness in a museum context. The evaluation plan is based upon a logic model and the evaluation will iteratively inform the direction, process, and productivity of the project.