This AISL Pilots and Feasibility project will study the data science learning that takes place as members of the public explore and analyze open civic data related to their everyday lives. Government services, such as education, transportation, and non-emergency municipal requests, are becoming increasingly digital. Generally, program workshops and events may be able to support participants in using such data to answer their own questions, such as: "How do City agencies respond to noise in my neighborhood?" and "How do waste and recycling services in my neighborhood compare with others?" This project seeks to understanding how such programs are designed and facilitated to support diverse communities in accessing and meaningfully analyzing data will promote innovation and knowledge building in informal data science education. The team will begin by summarizing best practices in data science education from a variety of fields. Next they will explore the design and impacts of two programs in New York City, a leader in publicly available Open Data initiatives. This phase will explore activities and facilitation approaches, participants' objectives and data literacy skills practice, and begin to identify potential barriers to entry and levels of participation. Finally, the team will build capacity for other similar organizations to explore and understand their impacts on community members' engagement with civic data. This pilot study will establish preliminary evidence of the effectiveness of these programs, and in turn, inform future research into the identifying and amplifying best practices to support public engagement with data.
This research team will begin by synthesizing data science learning best practices based on varied literatures and surveys with academic and practitioner experts.
Synthesis results will be applied as a lens to gather preliminary evidence regarding the impacts of two programs on participants' data science practices and understanding of the nature of data in the context of civics. The programs include one offered by the Mayor's Office of Data Analytics (MODA), which is the NYC agency with overall responsibility for the City's Open Data programs, and BetaNYC, a leading nonprofit organization working to improve lives through civic design, technology, and engagement with government open data. The research design triangulates ethnographic observations and artifacts, pre and post adapted surveys, and interviews with participants and facilitators. Researchers will identify programmatic metrics and adapts existing measures to assess various outcomes related to public engagement with data, including: question formulation, data set selection and manipulation, the use of data to make inferences, and understanding variability, sampling and context. These metrics will be shared through an initial assessment framework for data science learning in the context of community engagement with civic open data. Researchers will also begin to identify barriers to broader participation through literature synthesis, interviews with participants and facilitators, and conversations with other organizations in our networks, such as NYC Community Boards. Findings will determine the suitability of the programs under study and inform future research to identify and amplify best practices in supporting public engagement with data.
This project is funded by the NSF Advancing Informal STEM Learning 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 Pilots and Feasibility Studies 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.
Research shows that algebra is a major barrier to student success, enthusiasm and participation in STEM for under-represented students, particularly African-American students in under-resourced high schools. Programs that develop ways to help students master algebra concepts and a belief that they can perform algebra may lead to more students entering engineering careers. This project will provide an online engineering program to support 9th and 10th grade Baltimore City Public Schools students, a predominantly low-income African-American cohort, to develop concrete goals of becoming engineers. The goals of the program are to help students with a growing interest in engineering to maintain that interest throughout high school. The project will also support students aspire to an engineering career. The project will develop in students an appreciation of requisite courses and skills, and increase self-efficacy in mathematics. The project will also develop a replicable model of informal education capable of reinforcing the mathematical foundations that students learn during the school day. Additionally, the project will broaden participation in engineering by being available to students during out-of-school time and by having relaxed entrance criteria compared to existing opportunities in supplemental engineering curricula. The project is a collaboration between the Baltimore City Public Schools, Johns Hopkins University Applied Physics Laboratory, Northrop Grumman Corporation, and Expanded School-Based Mental Health programs to support students both during and after participation. The project will benefit society by providing skills that will allow high school students to become members of tomorrow's highly trained STEM workforce.
The research will test whether an informal, scaffolded online algebra-for-engineering program increases students' mastery and self-efficacy in mathematics. The research will advance knowledge regarding informal education by applying Social Cognitive Career Theory as a framework for measuring program impact. The theoretical framework will aid in identifying mechanisms through which students with interest in engineering might persist in maintaining this interest through high school via algebra skill mastery and increased self-efficacy. The project will recruit 200 youth from the Baltimore City Public Schools to participate in the project over three years. Qualitative data will be collected to assess how student and school socioeconomic factors impact implementation, student engagement, and outcomes. The research will answer the following questions: 1) What effect does program participation have on math mastery? 2) What direct and indirect effects do program completion and supports have on students' mathematics self-efficacy? 3) What direct and indirect effects do program components have on engineering career goals by the end of the program? 4) What direct and indirect effects does math self-efficacy have on career goals? 5) To what extent are the effects of program participation on engineering career goals mediated by math self-efficacy and engineering interest? 6) How do school factors relate to the implementation of the program? 7) What socioeconomic-related factors relate to the regularity and continuation of student participation in the program? The quantitative methods of data analysis will employ descriptive and multivariate statistical methods. Qualitative data from interviews will be analyzed using an emergent approach and a coding scheme guided by theoretical constructs. Project results will be communicated to scholars and practitioners. The team will also share information through school newsletters and parent communication through Baltimore City Public Schools.
This project is funded by the Innovative Technology Experiences for Students and Teachers (ITEST) program, which supports projects that build understandings of practices, program elements, contexts and processes contributing to increasing students' knowledge and interest in science, technology, engineering, and mathematics (STEM) and information and communication technology (ICT) 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.
Children’s storybooks are a ubiquitous learning resource, and one with huge potential to support STEM learning. They also continue to be a primary way that children learn about the world and engage in conversations with family members, even as the use of other media and technology increases. Especially before children learn to read, storybooks create the context for in-depth learning conversations with parents and other adults, which are the central drivers of STEM learning and development more broadly at this age. Although there is a body of literature highlighting the benefits of storybooks
Vassar College is conducting a 2.5-day conference, as well as pre- and post-conference activities, that convenes a multi-disciplinary, multi-institutional (USA and international) team to conceptualize and plan various research, education and outreach activities in informal learning, focusing on the seminal concept of tensegrity and its applications in many fields of science and mathematics. Tensegrity is the characteristic property of a stable three-dimensional structure consisting of members under tension that are contiguous and members under compression that are not.
The conference will bring together researchers and practitioners in informal learning and researchers in the various disciplines that embrace tensegrity (mathematics, engineering, biology, architecture, and art) to explore the potential that tensegrity has to engage the public in informal settings, especially through direct engagement in creating such structures. 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.
To date there have been no sustained informal educational projects and research around the topic of tensegrity. However, there is considerable related work on learning through "making and tinkering" upon which the participants will adapt and expand. The intended conference outcomes are to produce prototypes of activities, a research agenda, and lines of development with the potential to engage the wider public. A key priority of the gathering is the development of new partnerships between researchers and creators of tensegrity systems and the informal learning professionals. The long-term project hypothesis is that children and adults can engage with tensegrity through tinkering with materials and becoming familiar with a growing set of basic structures and their applications. The activities will include evaluation of the conference and a social network analysis of the collaborations that result.
This project is funded by the National Science Foundation's (NSF's) Advancing Informal STEM Learning (AISL) program, which supports innovative research, approaches, and resources for use in a variety of learning settings.
This Innovations in Development 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 Pilot and Feasibility study will investigate strategies for enhancing the mathematics in museum-based making and tinkering activities and lay the foundation for a full research study on broadening family participation in mathematics through making. This proposal builds directly on the NSF-funded Math in the Making convening. During this convening, questions about how to authentically highlight and enhance the mathematics in making and tinkering experiences, and how different math-enhancement approaches might influence learner experiences and outcomes, emerged as critical issues for researchers, educators, and mathematicians alike. The project aims to provide a practical lens to help researchers and educators connect topics across STEM with making and tinkering experiences. The project also seeks to advance theoretical understandings of museum-based learning by exploring ways that activity design and facilitation strategies influence how visitors understand the nature and goals of the experience and, in turn, how these visitor experiences shape learning outcomes. The project is designed to explore the most promising of these math-enhancement strategies in more depth, to propose as a next project and develop a theoretical framework for understanding and describing how these strategies influence how families understand and engage with the mathematics in maker experiences. Through several culturally-responsive approaches developed in collaboration with community-based organizations, the project will research how mathematics in maker experiences influences participant engagement and learning. The project will culminate in the design of a research study. Reports and resources developed by the project will be broadly disseminated to researchers, mathematicians, and educators. 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.
This award was provided as part of NSF's Social, Behavioral and Economic Sciences Postdoctoral Research Fellowships (SPRF) program and is supported by SBE's Developmental Sciences program and the Directorate for Education and Human Resources' (EHR) Advancing Informal STEM Learning program. The goal of the SPRF program is to prepare promising, early career doctoral-level scientists for scientific careers in academia, industry or private sector, and government. SPRF awards involve two years of training under the sponsorship of established scientists and encourage Postdoctoral Fellows to perform independent research. NSF seeks to promote the participation of scientists from all segments of the scientific community, including those from underrepresented groups, in its research programs and activities; the postdoctoral period is considered to be an important level of professional development in attaining this goal. Each Postdoctoral Fellow must address important scientific questions that advance their respective disciplinary fields. Under the sponsorship of Dr. Sandra D. Simpkins at the University of California, Irvine, this postdoctoral fellowship award supports an early career scientist exploring high-quality and culturally responsive, math afterschool program (ASP) practices for under-represented minority (URM) youth. Mathematical proficiency is the foundation of youth's STEM pursuits. Yet today, far too many youth do not pursue STEM based on a perception that they are "not good at math". Students need to engage in contexts that spark their interest and their continued mastery and growth. ASPs are settings for such dynamic opportunities, particularly for URM students such as Latinos who attend lower quality schools and do not feel supported. In college, URM students often struggle with uninspiring and culturally incongruent STEM learning environments. The intergenerational nature of university-based STEM ASPs, whereby younger students are paired with undergraduate (UG) mentors, are opportunities to support both K-12 and UG students' motivational beliefs in math and STEM more broadly. This project will examine these intergenerational developmental processes in the context of a math enrichment ASP located at a Hispanic-Serving Institution. By studying how ASPs can serve as an important lever for promoting URM students' access and success in STEM, this project seeks to meaningfully inform efforts to broaden the participation of underrepresented groups in these fields.
This project seeks to understand how participating in a math enrichment ASP supports both youth participants' and UG mentors' motivational beliefs in math; to describe high-quality and culturally responsive practices; and to understand how to support the effectiveness of youth-staff relationships. To accomplish these research objectives, data will be collected from both youth participants and UG mentors through multiple methods including surveys, in-depth interviews, participant-observations, and video observations of youth-staff interactions. This project will add to our understanding of university-ASP partnerships. Further, the knowledge gained from this study will impact the larger landscape of practice and research on STEM ASPs by 1) addressing critical gaps in the current literature on high-quality and culturally responsive STEM ASP practices and 2) informing ASP staff development training. Overall, this mixed methods project will provide critical and rich information on the ways that ASPs can effectively deliver on its promise of promoting positive development for all youth, especially URM youth who may need and benefit from these spaces the most. The invaluable insight garnered from this study will be disseminated to traditional academic audiences to advance knowledge, as well as to local, state, and national organizations to inform the larger landscape of practice in STEM ASPs.
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.
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.
As part of its overall strategy to enhance learning in informal environments, the Advancing Informal STEM Learning (AISL) program 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 goal of this project is to make 21st century quantum science comprehensible and engaging to non-expert informal adult learners. This project has strong potential to add new knowledge about the public's perception and understanding of quantum physics. This scientific content is often difficult for informal audiences to grasp, and there are relatively few accessible learning resources for a non- professional audience. The development of this online, interactive resource with short animations, graphics, and simulations has strong potential to fill this gap. It will develop a visually driven online resource to engage non-expert audiences in understanding the basics of quantum physics. The web design will be modular, incorporating many multimedia elements and the structure will be flexible allowing for future expansion. All content would be freely available for educational use. There is potential for extensive reach and use of the resources by informal adult learners online as well as learners in museums, science centers, and schools. Project partners are the Joint Quantum Institute at the University of Maryland and the National Institute of Standards and Technology, College Park. An independent evaluation of the project will add new knowledge about informal learners' perceptions and/or knowledge about quantum science and technology. An initial needs assessment via focus groups with the general public will be designed to find out more about what they already know about quantum physics topics and terminology, as well as what they want to know and what formats they prefer (games, simulations, podcasts, etc.). In person user testing will be used with early versions of the project online resource using a structured think-aloud protocol. Later in year 1 and 2, online focus groups with the general public will be conducted to learn what they find engaging and what they learned from the content. Iterative feedback from participants during the formative stage will guide the development of the content and format of the online resources. The Summative Evaluation will gather data using a retrospective post-survey embedded with a pop-up link on the Atlas followed by interviews with a subset of online users. Google Analytics will be used to determine the breadth and depth of their online navigation, what resources they download, and what websites they visit afterward. A post-only survey of undergraduate and graduate students who participated in resource development will focus on changes in students' confidence around their science communication skills and level of quantum physics understanding.
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. This Research in Service to Practice project will address the issues around Informal Education of rural middle school students who have high potential regarding academic success in efforts to promote computer and IT knowledge, advanced quantitative knowledge, and STEM skills. Ten school districts in rural Iowa will be chosen for this study. It is anticipated that new knowledge on rural informal education will be generated to benefit the Nation's workforce. The specific objectives are to understand how informal STEM learning shapes the academic and psychosocial outcomes of rural, high-potential students, and to identify key characteristics of successful informal STEM learning environments for rural, high-potential students and their teachers. The results of this project will provide new tools for educators to increase the flow of underserved students into STEM from economically-disadvantaged rural settings.
The President's Council of Advisors on Science and Technology predicts a rapid rise in the number of STEM jobs available in the next decade, describing an urgent need for students' educational opportunities to prepare them for this workforce. In 2014, 62% of CEOs of major US corporations reported challenges filling positions requiring advanced computer and information technology knowledge. The project team will use a mixed methods approach, integrating comparative case study and mixed effects longitudinal methods, to study the Excellence program. Data sources include teacher interviews, classroom observations, and student assessments of academic aptitude and psychosocial outcomes. The analysis and evaluation of the program will be grounded in understanding the local efforts of school districts to build curriculum responsive to the demands of their high-potential student body. The project design, and subsequent analysis plan, utilizes a mixed methods approach, incorporating case study and longitudinal quantitative methods to analyze naturalistic data and build robust evidence for the implementation and impact of this program. This project will provide significant insights in how best to design, implement, and support informal out-of-school learning environments to broaden participation in the highest levels of STEM education and careers for under-resourced rural students.
The Wayne State University Math Corps is a mathematics enrichment and mentoring program that operates during summers and on Saturdays. The curriculum and the teach pedagogies in this informal learning program have documented success of supporting youths' mathematics learning as well as raising achievement levels in school. Through rigorous research and evaluation, this project seeks to analyze and understand the nature, extent, and reasons for Math Corps' success with youth learning in Detroit as well as the processes of program replication in three sites: Cleveland, OH; Utica, NY; and Philadelphia, PA. As such, this project will deepen understandings of program replication and of addressing the needs of youth in economically-challenged communities in order to promote mathematics learning.
The project's research studies will assess the multiple factors that make Math Corps successful with youth in Detroit and document the implementation of the program to the three replication sites. Research methods include discourse analyses, surveys, interviews, and pre/post-tests. The project will also conduct a retrospective evaluation of Math Corps based on quantitative datasets regarding both near-term and long-term youth outcomes.
This projects is funded by the Advancing Informal STEM Learning program, which seeks to advance new approaches to, and evidence-based understandings of, the design and development of STEM learning in informal environments.
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TEAM MEMBERS:
Steve KahnStephen ChrisomalisTodd KubicaCarol Philips-BeyFrancisca Richter
As part of its overall strategy to enhance learning in informal environments, the Advancing Informal STEM Learning (AISL) program funds innovative resources for use in a variety of settings. This research project leverages ongoing longitudinal research to investigate whether, and if so how, youth from ages 10 to 15 in a diverse, under-resourced urban community become interested and engaged in STEM. The project addresses a global issue; fewer youth choose to major in scientific fields or take science coursework at high school or university levels. These declining numbers result in fewer STEM professionals and fewer scientifically literate citizens who are able to function successfully in an increasingly scientific and technological society. These declines are observed for youth as a whole, but are most pronounced for girls and particular non-white ethnic minorities. Data collected from youth in this community of study, including non-white ethnic minorities, mirrors this decline. NSF funding will support a five-year systematic and systemic process in which project researchers work collaboratively with existing informal and formal educational partners (e.g., museums, libraries, afterschool providers, schools) to develop sets of customized, connected, and coordinated learning interventions, in and out of school, for youth with different backgrounds, needs, and interests, all with the goal of averting or dampening this decline of STEM interest and participation during early adolescence. In addition to new research and community STEM networks, this project will result in a Community Toolkit that includes research instruments and documentation of network-building strategies for use by other researchers and practitioners nationally and internationally. This mixed methods exploratory study has two distinct but interrelated populations - youth and educators from across informal and formal institutions. To develop a clearer understanding of the factors that influence youths' STEM interest development over time, particularly among three youth STEM Interest Profiles identified in a secondary analysis (1-Dislike Math, 2-Like all STEM, 3-Dislike all STEM), the design combines surveys with in-depth interviews and observations. To study educators and institutions, researchers will combine interviews, focus groups, and observations to better understand factors that influence community-wide, data-driven approaches to supporting youth interest development. Research will be conducted in three phases with the goal of community-level change in youth STEM interest and participation. In Phase 1 (Years 1 & 2) four educational partners will develop interventions for a 6th and 7th grade youth cohort that will be iteratively refined through a design-based approach. Educational partners and researchers will meet to review and discuss interest and participation data and use these data to select content, as well as plan activities and strategies within their programs (using a simplified form of conjecture mapping). By Phase 2 (Years 3 & 4) four additional partners will be included, more closely modeling the complex system of the community. With support from researchers support and existing partners, new educational partners will similarly review and discuss data, using these to select content, as well as plan activities consistent with program goals and strategies. Additional interventions will be implemented by the new partners and further assessed and refined with a new 6th and 7th grade cohort, along with the existing interventions of the first four partners. In Phase 3 (Year 5) data will be collected on pre-post community-level changes in STEM interest and participation and the perceived effectiveness of this approach for youth. These data will inform future studies.