This is a survey we developed in 2018 for our exploratory research study of listeners and their parents/guardians of the children's science podcast, Brains On!. The survey includes questions about who listens, when and where children listen, children's listening behaviors, motivations for listening, activities after listening, household information, and demographic questions.
Peg + Cat is a popular broadcast television series, developed by The Fred Rogers Company and airing on PBS, in which a girl named Peg and her sidekick, Cat, solve everyday problems using mathematics, creativity, persistence, and humor. Peg + Cat: Developing Preschoolers’ Early Math Skills was a three-year project, funded by the National Science Foundation, that aimed to impact children’s interest and engagement with mathematics, as well as their development of positive social-emotional skills. The project supported early math learning via the creation of additional Peg + Cat episodes, online
Peg + Cat is a popular broadcast television series, developed by The Fred Rogers Company and airing on PBS, in which a girl named Peg and her sidekick, Cat, solve everyday problems using mathematics, creativity, persistence, and humor. Peg + Cat: Developing Preschoolers’ Early Math Skills was a three-year project, funded by the National Science Foundation, that aimed to impact children’s interest and engagement with mathematics, as well as their development of positive social-emotional skills. The project supported early math learning via the creation of additional Peg + Cat episodes, online
PBS has a long history of creating award-winning children’s media and has published a wide range of free educational apps. PBS stations often seek organizational partnerships for help in reaching families with the free digital resources they produce. One such collaboration is between WGBH and ALSC as we together introduce a new series of apps developed with National Science Foundation funding. These PEEP Family Science apps feature characters children love from the Emmy Award-winning preschool STEM series on public television, PEEP and the Big Wide World—combining brief, animated stories with
This Smart and Connected Community (SCC) project will partner with two rural communities to develop STEMports, an innovative Science, Technology, Engineering and Mathematics (STEM) learning game for workforce development. The game's activities will take players on localized Augmented Reality (AR) missions to both engage in STEM learning challenges and discover emerging STEM careers in their community, specifically highlighting innovations in the fields of sustainable agriculture and aquaculture, forest products, and renewable energy. Community Advisory Teams (CATs) and co-design teams, including youth, representatives from the targeted emerging STEM economies, and decision-makers will partner with project staff to co-design STEMports that reflect the interests, cultural contexts, and envisioned STEM industries of the future for each community.
The project will: (a) design and pilot an AR game for community STEM workforce development; (b) develop and adapt a community engagement process that optimizes community networking for co-designing the gaming application and online community; and (c) advance a scalable process for wider applications of STEMports. This project is a collaboration between the Maine Mathematics and Science Alliance and the Field Day Lab at the University of Wisconsin-Madison to both build and research the co-designing of a SCC based within an AR environment. The project will contribute knowledge to the informal STEM learning, community development, and education technology fields in four major ways:
Deepening the understanding of how innovative technological tools support rural community STEM knowledge building as well as STEM identity and workforce interest.
Identifying design principles for co-designing the STEMports community related to the technological design process.
Developing social network approaches and analytics to better understand the social dimensions and community connections fostered by the STEMport community.
Understanding how participants' online and offline interactions with individuals and experiences builds networks and knowledge within a SCC.
With the scaling of use by an ever-growing community of players, STEMports will provide a new AR-based genre of public participation in STEM and collective decision making. The research findings will add to the emerging literature on community-wide education, innovative education technologies, informal STEM learning (especially place-based learning and STEM ecosystems), and participatory design research.
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.
The Brains On! exploratory research study was guided by three overarching research questions:
Who is the audience for Brains On! and what are their motivations for listening to children’s science podcasts?
How are Brains On! listeners using the podcast and engaging with its content?
What kinds of impacts does Brains On! have on its audiences?
These questions were answered through a three-phase mixed-methods research design. Each phase informed the next, providing additional insights into answering the research questions. Phase 1 was a review of a sample of secondary data in the
In October 2017, the PBS NewsHour team produced a week and a half of opioid-related content, including several online explainers, which presented the opportunity for a natural experiment for the Experiments in Transmedia project.
Knology (formerly New Knowledge Organization Ltd.) conducted a two-wave research study to advance understanding of the youth audience’s knowledge and news consumption on the topic.
The first wave of the study, conducted in September 2017, provides a baseline. The content aired in October 2017, and the second wave of the study, conducted in November 2017, asked a
Participants in this study reported a variety of resources used in the past to learn to code in Apex, including online tutorials, one-day classes sponsored by Salesforce, and meet-up groups focused on learning. They reported various difficulties in learning through these resources, including what they viewed as the gendered nature of classes where the men already seemed to know how to code—which set a fast pace for the class, difficulty in knowing “where to start” in their learning, and a lack of time to practice learning due to work and family responsibilities. The Coaching and Learning Group
This INSPIRE award is partially funded by the Cyber-Human Systems Program in the Division of Information and Intelligent Systems in the Directorate for Computer Science and Engineering, the Gravitational Physics Program in the Division of Physics in the Directorate for Mathematical and Physical Sciences, and the Office of Integrative Activities.
This innovative project will develop a citizen science system to support the Advanced Laser Interferometer Gravitational wave Observatory (aLIGO), the most complicated experiment ever undertaken in gravitational physics. Before the end of this decade it will open up the window of gravitational wave observations on the Universe. However, the high detector sensitivity needed for astrophysical discoveries makes aLIGO very susceptible to noncosmic artifacts and noise that must be identified and separated from cosmic signals. Teaching computers to identify and morphologically classify these artifacts in detector data is exceedingly difficult. Human eyesight is a proven tool for classification, but the aLIGO data streams from approximately 30,000 sensors and monitors easily overwhelm a single human. This research will address these problems by coupling human classification with a machine learning model that learns from the citizen scientists and also guides how information is provided to participants. A novel feature of this system will be its reliance on volunteers to discover new glitch classes, not just use existing ones. The project includes research on the human-centered computing aspects of this sociocomputational system, and thus can inspire future citizen science projects that do not merely exploit the labor of volunteers but engage them as partners in scientific discovery. Therefore, the project will have substantial educational benefits for the volunteers, who will gain a good understanding on how science works, and will be a part of the excitement of opening up a new window on the universe.
This is an innovative, interdisciplinary collaboration between the existing LIGO, at the time it is being technically enhanced, and Zooniverse, which has fielded a workable crowdsourcing model, currently involving over a million people on 30 projects. The work will help aLIGO to quickly identify noise and artifacts in the science data stream, separating out legitimate astrophysical events, and allowing those events to be distributed to other observatories for more detailed source identification and study. This project will also build and evaluate an interface between machine learning and human learning that will itself be an advance on current methods. It can be depicted as a loop: (1) By sifting through enormous amounts of aLIGO data, the citizen scientists will produce a robust "gold standard" glitch dataset that can be used to seed and train machine learning algorithms that will aid in the identification task. (2) The machine learning protocols that select and classify glitch events will be developed to maximize the potential of the citizen scientists by organizing and passing the data to them in more effective ways. The project will experiment with the task design and workflow organization (leveraging previous Zooniverse experience) to build a system that takes advantage of the distinctive strengths of the machines (ability to process large amounts of data systematically) and the humans (ability to identify patterns and spot discrepancies), and then using the model to enable high quality aLIGO detector characterization and gravitational wave searches
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TEAM MEMBERS:
Vassiliki KalogeraAggelos KatsaggelosKevin CrowstonLaura TrouilleJoshua SmithShane LarsonLaura Whyte
This Research Advanced by Interdisciplinary Science and Engineering (RAISE) project is supported by the Division of Research on Learning in the Education and Human Resources Directorate and by the Division of Computing and Communication Foundations in the Computer and Information Science and Engineering Directorate. This interdisciplinary project integrates historical insights from geometric design principles used to craft classical stringed instruments during the Renaissance era with modern insights drawn from computer science principles. The project applies abstract mathematical concepts toward the making and designing of furniture, buildings, paintings, and instruments through a specific example: the making and designing of classical stringed instruments. The research can help instrument makers employ customized software to facilitate a comparison of historical designs that draws on both geometrical proofs and evidence from art history. The project's impacts include the potential to shift in fundamental ways not only how makers think about design and the process of making but also how computer scientists use foundational concepts from programming languages to inform the representation of physical objects. Furthermore, this project develops an alternate teaching method to help students understand mathematics in creative ways and offers specific guidance to current luthiers in areas such as designing the physical structure of a stringed instrument to improve acoustical effect.
The project develops a domain-specific functional programming language based on straight-edge and compass constructions and applies it in three complementary directions. The first direction develops software tools (compilers) to inform the construction of classical stringed instruments based on geometric design principles applied during the Renaissance era. The second direction develops an analytical and computational understanding of the art history of these instruments and explores extensions to other maker domains. The third direction uses this domain-specific language to design an educational software tool. The tool uses a calculative and constructive method to teach Euclidean geometry at the pre-college level and complements the traditional algebraic, proof-based teaching method. The representation of instrument forms by high-level programming abstractions also facilitates their manufacture, with particular focus on the arching of the front and back carved plates --- of considerable acoustic significance --- through the use of computer numerically controlled (CNC) methods. The project's novelties include the domain-specific language itself, which is a programmable form of synthetic geometry, largely without numbers; its application within the contemporary process of violin making and in other maker domains; its use as a foundation for a computational art history, providing analytical insights into the evolution of classical stringed instrument design and its related material culture; and as a constructional, computational approach to teaching geometry.
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.
Ruff Family Science is a project funded by the National Science Foundation (NSF) that aims to foster joint media engagement and hands-on science exploration among diverse, low-income parents and their 4- to 8-year-old children. Building on the success of the PBS series FETCH! with Ruff Ruffman, the project leverages FETCH’s funny and charismatic animated host, along with its proven approach to teaching science, to inspire educationally disadvantaged families to explore science together. The project is utilizing a research and design process to create resources that meet the needs of families
Reconceptualizing STEM + Computing Literacy is funded by the STEM+Computing Partnership (STEM+C) program, which seeks to advance multidisciplinary integration of computing and computational thinking in K-12 science, technology, engineering, and mathematics (STEM) teaching and learning through applied research and development across one or more domains, and broadening participation in computing and computing-related fields. The project will study the integration of computational thinking as part of a new and more contemporary perspective of STEM literacy, and will design, develop, and beta-test a prototype literacy assessment tool that will measure computational thinking literacy along with measures of literacy in other STEM content areas. The tool will be available to the general public as a self-measurement application (App) that can be used by individuals to test their own literacy, and by teachers, schools, and informal educators and organizations to assess literacy development in their students and in their STEM education programs. This transdisciplinary research project will begin the process of creating an innovative approach and tool for measuring literacy that will expand the definition of literacy to include computational skills along with science reasoning. Literacy is an important concept and measurement that has traditionally been used to assess an individual's knowledge of science. This project will explore a broader literacy perspective that incorporates learning derived from out of school and one that incorporates computational skills and thinking as part of a more contemporary perspective of STEM literacy. A prototype web-based App allowing individuals and education organizations to assess literacy levels, and ways to enhance literacy, will be developed and studied. The methodology will be developed using discussions and knowledge from over 60 experts across computing, education, science, social science, and other STEM fields using a Delphi method to engage in reconceptualization of literacy. The hypothesis is that this new STEM+C literacy framework should be structured along four interacting but semi-independent domains: 1) general STEM+C knowledge; 2) self-defined areas of STEM+C knowledge and expertise; 3) attitudes and beliefs related to STEM+C; and 4) the skills and competencies necessary to participate in STEM+C related pursuits and discussions, including measures of modes of STEM+C thinking. Each of these four domains is likely to include numerous sub-domains and associated descriptors, which collectively describe the different aspects of being a STEM+C literate citizen. The application will be designed to provide feedback to individuals on their knowledge, attitudes and skills compared with those of others and suggest ways to enhance and improve their skills and understanding through an embedded feedback mechanism. This project creates public benefit by providing individuals and organizations with a responsive real-time understanding measuring STEM+C literacy, deepening the dialogue about the value of public engagement in science, engineering, technology, math and computing and revealing the dynamic factors that inform STEM+C literacy.