Despite the ubiquity of Artificial Intelligence (AI), public understanding of how it works and is used is limited This project will research, design, and develop innovative approaches focusing on Artificial Intelligence (AI) for under-represented youth ages 14-24. Program components include live social media chats with AI leaders, app development, journalistic investigations of ethical issues in machine learning, and review of AI-based consumer products. Youth Radio is a non-profit media and tech organizations that provides youth with skills in STEM, journalism, arts, and communications. They engage 250 youth annually through free after-school classes and work shifts. Participants are 90% youth of color and 80% low income. Project partners include the MIT Media Lab which developed App Inventor which allows novice users to build fully functional apps. Staff from Google will serve as a project advisor on the curriculum. The project has exceptional national reach through the dissemination of its media and apps through national outlets such as NPR and Teen Vogue as well as various platforms including online, on-air, as well as presentations, publications, and training tools. The project broadens participation by engaging these low income youth of color in developing skills critical to the workforce of the future. It will help prepare an upcoming generation of Artificial Intelligence creators, users, and consumers who understand the technology and embrace and encourage its potential.It will give them the necessary knowledge and opportunities for careers in an AI-driven future.
This project is grounded in sociocultural learning theory and practice and is interdisciplinary by design. The theoretical framework holds that Computational Thinking plus Critical Pedagogy leads to Critical Computational Literacy. Also, Digital Age Civics plus Participatory Culture leads to Civic Imagination helping youth build a better world through technology. The driving research questions include: What do underrepresented youth understand about AI and its role in society? What are the ethical dilemmas posed by AI from their vantage point? What are the features of an engaging ethics-centered pedagogy with AI? What impact do the AI products developed by the youth have on the target audience? The research design will use ethnographic techniques and design research to study and analyze youth learning. Data sources will include baseline surveys, audio recordings and transcriptions from learning sessions with the participants, research analytic memos, focus group interviews, student-generating artifacts of learning and finished products, etc. The design-based approach will enable systematic, evidence-based iteration on the initiative's activities, pedagogical approach and products. An independent summative evaluation will provide complementary data and perspective to triangulate with the research findings.
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.
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TEAM MEMBERS:
Elisabeth SoepEllin O'LearyHarold Abelson
Families play a large role in igniting children's interest in science pathways, but they may not always have access to high-quality materials that demonstrate clear connections between science and their daily lives. This project will address this issue by developing high-interest materials that teach the science of food preparation to families with children ages 7-13. These materials include the following four components: (a) Food Labs, food-based investigations taking place in museums or in food service facilities; (b) take-home kits allowing families to conduct similar types of Food Labs at home; (c) a series of question starters called Promoting Interest and Engagement in Science (PIES) designed to facilitate meaningful family conversations around food preparation; and (d) a mobile app designed to deepen families' understandings of relevant science concepts and containing embedded measures of STEM learning. This project will advance knowledge regarding features of take-home materials that foster family science learning and ignite children's interest in science pathways.
This Innovations in Development Project will result in empirically-tested instructional materials that support families, with children ages 7-13, in conducting scientific investigations and holding scientific conversations related to food preparation. Kent State University, in partnership with The Cincinnati Museum Center and La Soupe, a food service provider for families who face food insecurity, will collaboratively develop and test the four interrelated sets of instructional materials mentioned above that are designed to deepen families' scientific content knowledge related to the chemistry of food preparation. To iteratively design and evaluate these materials, the team will conduct both laboratory and in-vivo experiments using a Solomon design with a pre- and post-demonstration survey. The survey will measure children's interest, knowledge, and engagement. For a month after interacting with instructional materials, families will document their science activity at home through the app. Additionally, through analyzing audio-recordings, the team will determine whether and how families ask questions using the PIES materials. Finally, post-demonstration interviews with participating families will focus on the usability and accessibility of the instructional materials. Quantitative and qualitative analyses of the pre-post surveys, interview transcripts, and audio-recordings will be used to improve the instructional materials, and the revised materials will be re-assessed using the same experimental methods and outcome measures. The final set of instructional materials will be developed and widely disseminated for easy use at other science museums, food service providers, and in families' homes. This project leverages partnerships to generate empirical knowledge on features of learning environments that support family science learning and engagement, resulting in empirically-based materials designed to broaden participation in science. 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 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 project aims to broaden participation in STEM education among underserved populations through innovative and inclusive approaches to technology education. The project is designed to enhance knowledge and comfort with technology and develop computational thinking among women who were formerly incarcerated and are now seeking to reenter the workforce or adjust to their lives outside the criminal justice system ("women in transition") in the Midwest. While women have become the fastest growing segment of the incarcerated population, prison education and reentry programs are not well prepared to respond to this influx. Women in transition are rarely exposed to STEM education and they are generally isolated from the digital world while in prison. Consequently, they face post-incarceration challenges in accessing and using rapidly changing digital technologies. Against this backdrop, this three-year technology education project will aim to help women in transition in Kansas and Missouri develop STEM skills relevant to job applications and post-incarceration adjustments. The project may serve as a template for building evidence-based workforce preparation efforts in informal settings, and the concurrent online peer networking and app development may also facilitate adaptation for and scaling to other regions and other similarly digitally disadvantaged populations. This project is funded by the 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 design is informed by the research team's past experiences offering technology education to women in transition and other underserved populations in the Midwest. The design includes three interrelated aspects: (1) technology education, (2) web/mobile app development, and (3) original empirical research. The research team will offer hybrid (online and offline) technology training programs to 300 women in transition in Kansas and Missouri. Learners will attend weekly face-to-face technology classes at different levels (introductory, intermediate, and advanced) at public libraries. A member-only online site and an accompanying mobile application for online tutorials and virtual meet-ups will enhance exposure to different types of technologies. Starting with interest-based technology topics including online resume building, information verification, and identity protection, the team will introduce women to deeper STEM topics including elementary coding skills and computational thinking. Empirical research will examine how different modalities of offering technology education are associated with learning outcomes for women participating in the program and the association of increasing knowledge and skills in digital technologies with self-efficacy, perceived social support, employment, and reduced recidivism.
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.
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TEAM MEMBERS:
Hyunjin SeoHannah BrittonMegha RamaswamyBaek-Young ChoiSejun Song
It is estimated that there could be 40 billion earth-sized planets orbiting in the habitable zones of stars in the Milky Way. Major advances in long range telescopes have allowed astronomers to identify thousands of exoplanets in recent decades, and the discovery of new exoplanets is a now a common occurrence. Public excitement for the discoveries grown alongside these discoveries, thus opening new possibilities for inspiring a new generation of scientists and engineers that may dream of one day visiting these planets. This project investigates the use of interactive, intelligent educational technologies to generate interest in STEM by allowing learners to explore and even create their own exoplanets. Research will occur across several informal learning contexts, including summer camps, after school programs, planetarium shows, and at home. The approach is based on the idea of "What if?"questions about Earth (e.g., "What if the Moon did not exist?"), designed to trigger interest in STEM and frame exploratory and elaborative discussions around hypothetical science questions that are subsequently linked to the search for habitable exoplanets. Learners are able to interact with and explore scientifically accurate simulations of alternative versions of Earth, while making observations and posing explanations for what they see. Technology-based informal learning experiences designed to act as triggers for and sustainment of interest in STEM have the potential to plug the leaky STEM pipeline, and thus have profound implications for the future of science and technology in the United States.
The project seeks to advance the science of designing technologies for promoting interest in STEM and informal astronomy education in several ways. First, the project will develop simulations for exploratory learning about astronomy and planetary science. These simulations will present hypothetical worlds based on what-if questions and feasible models of known exoplanets, thus giving learners a chance to better understand the challenges of finding a habitable world and learning about what is needed to survive there. Second, a new PBS NOVA Lab will be developed that will focus on Exoplanet education. This web-based activity has the potential to reach millions of learners and will help them understand how planets are formed and the requirements for supporting life. Learners who use the lab will have an opportunity to invent their own exoplanets and export them for first-person exploration. Third, researchers on the project will design and implement Artificial Intelligence-based pedagogical agents to support learning and promote interest. These agents will inhabit the simulations with the learner, acting as a coach and guide, and be designed to be culturally responsive and personalized based on learner preferences. Fourth, interactive exoplanet-focused planetarium shows, that will involve live interaction with simulations, will take place at the Fiske Planetarium (Boulder, CO). Finally, the project will develop a server-based infrastructure for tracking and supporting long term development of interest in STEM. This back-end will track fine-grained behaviors, including movement, actions, and communications in the simulations. Such data will reveal patterns about how interest develops, how learners engage in free-choice learning activities, and how they interact with agents and peers in computer simulations. A design-based research methodology will be employed to assess the power of these different experiences to trigger interest and promote learning of astronomy. A range of different pathways for interest in STEM will therefore be considered and assessed. Research will measure the power of these experiences to trigger interest in STEM and promote re-engagement over time. Innovation lies in the use of engaging and intelligent technologies with thought-provoking pedagogy as a method for extended engagement of diverse young learners in STEM. Project research and educational resources will be widely disseminated to researchers, designers developers and the general public via peer-reviewed research journals, conference presentations, informal STEM education networks of science museums, children's museums, Fab Labs, and planetariums, and public media such as public television's NOVA science program website.
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.
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TEAM MEMBERS:
H Chad LaneNeil CominsJorge Perez-GallegoDavid Condon
A team of experts from five institutions (University of Minnesota, Adler Planetarium, University of Wyoming, Colorado State University, and UC San Diego) links field-based and online analysis capabilities to support citizen science, focusing on three research areas (cell biology, ecology, and astronomy). The project builds on Zooniverse and CitSci.org, leverages the NSF Science Gateways Community Institute, and enhances the quality of citizen science and the experience of its participants.
This project creates an integrated Citizen Science Cyberinfrastructure (CSCI) framework that expands the capacity of research communities across several disciplines to use citizen science as a suitable and sustainable research methodology. CSCI produces three improvements to the infrastructure for citizen science already provided by Zooniverse and CitSci.org:
Combining Modes - connecting the process of data collection and analysis;
Smart Assignment - improving the assignment of tasks during analysis; and
New Data Models - exploring the Data-as-Subject model. By treating time series data as data, this model removes the need to create images for classification and facilitates more complex workflows. These improvements are motivated and investigated through three distinct scientific cases:
Biomedicine (3D Morphology of Cell Nucleus). Currently, Zooniverse 'Etch-a-Cell' volunteers provide annotations of cellular components in images from high-resolution microscopy, where a single cell provides a stack containing thousands of sliced images. The Smart Task Assignment capability incorporates this information, so volunteers are not shown each image in a stack where machines or other volunteers have already evaluated some subset of data.
Ecology (Identifying Individual Animals). When monitoring wide-ranging wildlife populations, identification of individual animals is needed for robust estimates of population sizes and trends. This use case combines field collection and data analysis with deep learning to improve results.
Astronomy (Characterizing Lightcurves). Astronomical time series data reveal a variety of behaviors, such as stellar flares or planetary transits. The existing Zooniverse data model requires classification of individual images before aggregation of results and transformation back to refer to the original data. By using the Data-as-Subject model and the Smart Task Assignment capability, volunteers will be able to scan through the entire time series in a machine-aided manner to determine specific light curve characteristics.
The team explores the use of recurrent neural networks (RNNs) to determine automated learning architectures best suited to the projects. Of particular interest is how the degree to which neighboring subjects are coupled affects performance. The integration of existing tools, which is based on application programming interfaces (APIs), also facilitates further tool integration. The effort creates a citizen science framework that directly advances knowledge for three science use cases in biomedicine, ecology, and astronomy, and combines field-collected data with data analysis. This has the ability to solve key problems in the individual applications, as well as benefiting the research of the dozens of projects on the Zooniverse platform. It provides benefits to researchers using citizen scientists, and to the nearly 1.6 million citizen scientists themselves.
This award by the Office of Advanced Cyberinfrastructure is jointly supported by the Division of Research on Learning in Formal and Informal Settings, within the NSF Directorate for Education and Human Resources.
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.
The Adler Planetarium, Johns Hopkins University, and Southern Illinois University-Edwardsville are investigating the potential of online citizen science projects to broaden the pool of volunteers who participate in analysis and investigation of digital data and to deepen volunteers' engagement in scientific inquiry. The Investigating Audience Engagement with Citizen Science project is administering surveys and conducting case studies to identify factors that lead volunteers to engage in the astronomy-focused Galaxy Zoo project and its Zooniverse extensions. The project is (1) identifying volunteers' motivations for joining and staying involved, (2) determining factors that influence volunteers' movement from lower to higher levels of involvement, and (3) designing features that influence volunteer involvement. The project's research findings will help informal science educators and scientists refine existing citizen science programs and develop new ones that maximize volunteer engagement, improve the user experience, and build a more scientifically literate public.
We have created an instrument to measure the prevalance of various motivations in a population of volunteers in an online citizen science project. Our project is Zooniverse (www.zooniverse.org), a collection of citizen science projects that have grown out of the Galaxy Zoo website. The instrument is based on a theoretical model of motivation, which is described in the attached document.
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TEAM MEMBERS:
Jordan RaddickKaren CarneyJason ReedAndrea Lardner
The National Building Museum (NBM) contracted RK&A, Inc. to conduct a summative evaluation of the Why Engineering? distance learning program. The goal of the evaluation was to assess program operations and explore the extent to which the program achieved its intended outcomes for students and teachers.
How did we approach this study?
RK&A used three methodologies for the study: online program observations; student assessments administered immediately after the program; and telephone interviews with teachers. Observations were primarily used to gain a holistic understanding of how the
“Reclaiming Digital Futures” is a free guide and associated website for youth organizations to use as they integrate digital learning into their programming and practices. The report is available at DigitalLearningPractices.org.
The report and the associated DigitalLearningPractices.org site contain a cross-section of resources to aid organizations and educators in developing quality programming that integrate technology and youth development. Rather than focusing on efforts to help youth become fluent and skilled in uses of technology simply for the sake of meeting predetermined standards
By using widely-available technologies, this project brings fully online instructional coaching in STEM to out-of-school educators who live too remotely to attend ongoing in-person workshops.
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TEAM MEMBERS:
Sue AllenPerrin ChickScott ByrdAlexandria BrasiliLiv DetrickLynn FarrinHannah Lakin
Casual games are everywhere. People play them throughout life to pass the time, to engage in social interactions, and to learn. However, their simplicity and use in distraction-heavy environments can attenuate their potential for learning. This experimental study explored the effects playing an online, casual game has on awareness of human biological systems. Two hundred and forty-two children were given pretests at a Museum and posttests at home after playing either a treatment or control game. Also, 41 children were interviewed to explore deeper meanings behind the test results. Results show
The STEM + Digital Literacies (STEM+L) project investigates science fiction composing as an effective mechanism to attract and immerse adolescents (ages 10-13) from diverse cultural backgrounds in socio-scientific issues related to environment.
The participating students (G5-8) work in small groups to design and produce STEM content rich, multimedia science fictions during the summer (1 week) and the academic year (4-6 2.5hr sessions). Culminating activities include student presentations at a local science fiction film festival.
The research component employs an iterative, design-based