Informal STEM learning experiences (ISLEs), such as participating in science, computing, and engineering clubs and camps, have been associated with the development of youth’s science, technology, engineering, and mathematics interests and career aspirations. However, research on ISLEs predominantly focuses on institutional settings such as museums and science centers, which are often discursively inaccessible to youth who identify with minoritized demographic groups. Using latent class analysis, we identify five general profiles (i.e., classes) of childhood participation in ISLEs from data
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TEAM MEMBERS:
Remy DouHeidi CianZahra HazariPhilip SadlerGerhard Sonnert
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 INSPIRE project addresses the issue of high volume hydraulic fracturing, also called fracking, and its effects on ground water resources. Fracking allows drillers to extract natural gas from shale deep within the earth. Methane gas sometimes escapes from shale gas wells and can contaminate water resources or leak into the atmosphere where it contributes to greenhouse gas emissions. Monitoring for these potential leaks is difficult because methane is also released into aquifers naturally, and because monitoring is time- and resource-intensive. Such subsurface leakage may also be relatively rare. This project seeks to improve overall understanding of the impacts of natural gas drilling using both advances in computer science and geoscience, and to teach the public about such impacts. The project will elucidate both the effects of human activities such as shale gas development as well as natural processes which release methane into natural waters. Results of the proposed research will lead to a better understanding of water quality in areas of shale-gas development and will highlight problems and potentially problematic management practices. The research will advance both the fields of geoscience and computer science, will train interdisciplinary graduate students, and involve citizen scientists in collecting data and understanding environmental data analysis.
The project combines new hydro-geochemical strategies and data mining approaches to study the release of methane into streams and ground waters. For example, researchers will explore how to analyze the heterogeneous spatial data that describe distributions of methane concentrations in natural waters. The objectives of this project are to i) transform the ability to measure methane in streams; ii) train citizen scientists to work with project scientists to sample streams in an area of shale-gas development and publish large-volume datasets of methane in natural waters and aquifers; iii) innovate data mining and machine learning methods for environmental data to identify anomalous spots with potential leakage; iv) run field campaigns to measure methane concentrations and isotopic signatures of water samples in these spots; v) foster dialogue among nonscientists, consultants, university scientists, members of the gas industry, government agencies, and nonprofit organizations in and beyond the target region. Toward this end, the team will host workshops aimed to build dialogue among stakeholders and will release data analytic software for environmental measurements to benefit a broader research community.
Project Enhanced Science Learning (PESL) offers learning partners opportunities to engage in authentic scientific inquiry through apprenticeship. Such inquiry is often enabled by dynamic interactions among learning partners in physical proximity. Yet scientific and business practice using Internet and broadband services recognizes that not all partners necessary to an interaction can be co-located. Our vision uses new technologies to extend the collaborative "reach" of PESL to include diverse expertise among remote learners, teachers, and scientists. This work, in atmospheric sciences, extends collaborative media beyond asynchronous text-only email to shared workspaces and two-way audio/video connections that allow for collaborative visualization of science phenomena, data, models - What You See Is What I See (WYSIWIS). Tools for local- and wide-area networked learning environments will enable highly interactive, media-rich communications among learning partners. Research on these learning architectures will provide pedagogy and social protocols for authenticating the science learning experience in classrooms and other spaces. Greater motivation to learn and enhanced science learning in terms of more valid, performance assessments should result from students' participations. The next decade brings widespread, networked multi-media interpersonal computing. This project will provide a blueprint to inform the effective use of interpersonal collaborative media for science education.
The scientific community is challenged by the need to reach out to students who have traditionally not been attracted to engineering and the sciences. This project would provide a link between the University of Michigan and the teachers and students of secondary education in the State of Michigan with an initial emphasis on southeast Michigan, through the creation of a range of computer services which will provide interactive access to current weather and climate change information. Taking advantage of a unique computer network capacity within the State of Michigan named MichNet which provides local phone ports in virtually every major city in the state, and the resources available to the university community via the University Corporation for Atmospheric Research (UCAR) UNIDATA program, this project would provide secondary schools with access to a state-of-the-art interactive weather information system. The real-time data available via the system, supplemented by interactive computer modules designed in collaboration with earth science teachers, will provide animated background information on a range of climate and weather related topics. While the principal objective of this project will be to provide educationally stimulating interactive computer systems and electronic weather and climate modules for application in inner city Detroit and its environs, the unique nature of the available computer networking will allow virtually every school system in the state to have access. Subsequently successful completion of this project could eventually make the same systems available to other cities and states.