Funded by the National Science Foundation (NSF), Amazon Adventure is an Innovations in Development project directed by Pacific Science Center in partnership with: SK Films; Rutgers, The State University of New Jersey; Embodied Games; and the Howard Hughes Medical Institute’s Tangled Bank Studios. The project deliverables produced during the grant period include a giant screen film, live stage presentation for use at informal science education (ISE) institutions, and educational resources.
The centerpiece of the project, the Amazon Adventure film, is a 45-minute giant screen film shown in
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.
Given the current level of Galeophobia, or fear of sharks, that’s an excellent question. Most people will leave the water immediately if they think a shark is in the area. Oddly, the greatest number of those who fear sharks seem to come from those who rarely, if ever, go into the ocean—so, clearly, this is a primal fear, much like snakes or spiders.
Enter the average scuba diver. Our experience at Ocean Sanctuaries suggests that many (but not all)divers have great respect for these apex predators and—ready for this?—Can’t wait to dive with them. They engender such awe and fear, that merely
This poster was presented at the 2019 AISL PI Meeting, and describes the the ongoing research questions and goals of the Ute STEM Project, which explores the integration of the traditional ecological knowledge (TEK) of the Ute Indians of Colorado and Utah and Western science, technology, engineering and math (STEM).
The Computational Thinking in Ecosystems (CT-E) project is funded by the STEM+Computing Partnership (STEM+C) program, which seeks to advance new approaches to, and evidence-based understanding of, the integration of computing in STEM teaching and learning. The project is a collaboration between the New York Hall of Science (NYSCI), Columbia University's Center for International Earth Science Information Network, and Design I/O. It will address the need for improved data, modeling and computational literacy in young people through development and testing of a portable, computer-based simulation of interactions that occur within ecosystems and between coupled natural and human systems; computational thinking skills are required to advance farther in the simulation. On a tablet computer at NYSCI, each participant will receive a set of virtual "cards" that require them to enter a computer command, routine or algorithm to control the behavior of animals within a simulated ecosystem. As participants explore the animals' simulated habitat, they will learn increasingly more complex strategies needed for the animal's survival, will use similar computational ideas and skills that ecologists use to model complex, dynamic ecological systems, and will respond to the effects of the ecosystem changes that they and other participants elicit through interaction with the simulated environment. Research on this approach to understanding interactions among species within biological systems through integration of computing has potential to advance knowledge. Researchers will study how simulations that are similar to popular collectable card game formats can improve computational thinking and better prepare STEM learners to take an interest in, and advance knowledge in, the field of environmental science as their academic and career aspirations evolve. The project will also design and develop a practical approach to programing complex models, and develop skills in communities of young people to exercise agency in learning about modeling and acting within complex systems; deepening learning in young people about how to work toward sustainable solutions, solve complex engineering problems and be better prepared to address the challenges of a complex, global society.
Computational Thinking in the Ecosystems (CT-E) will use a design-based study to prototype and test this novel, tablet-based collectable card game-like intervention to develop innovative practices in middle school science. Through this approach, some of the most significant challenges to teaching practice in the Next Generation Science Standards will be addressed, through infusing computational thinking into life science learning. CT-E will develop a tablet-based simulation representing six dynamic, interconnected ecosystems in which students control the behaviors of creatures to intervene in habitats to accomplish goals and respond to changes in the health of their habitat and the ecosystems of which they are a part. Behaviors of creatures in the simulation are controlled through the virtual collectable "cards", with each representing a computational process (such as sequences, loops, variables, conditionals and events). Gameplay involves individual players choosing a creature and habitat, formulating strategies and programming that creature with tactics in that habitat (such as finding food, digging in the ground, diverting water, or removing or planting vegetation) to navigate that habitat and survive. Habitats chosen by the participant are part of particular kinds of biomes (such as desert, rain forest, marshlands and plains) that have their own characteristic flora, fauna, and climate. Because the environments represent complex dynamic interconnected environmental models, participants are challenged to explore how these models work, and test hypotheses about how the environment will respond to their creature's interventions; but also to the creatures of other players, since multiple participants can collaborate or compete similar to commercially available collectable card games (e.g., Magic and Yu-Go-Oh!). NYSCI will conduct participatory design based research to determine impacts on structured and unstructured learning settings and whether it overcomes barriers to learning complex environmental science.
Amazon Adventure is a giant screen film that tells the science adventure story of Henry Bates who travels to the Amazon in the 1850s to find evidence of species change. His quest turns into an 11-year journey in which he discovers 8,000 species new to science and what would be called “Batesian Mimicry”.
What if researchers and interpreters had a better way of eliciting, supporting and extending the interests that visitors bring with them to the park? This poster describing the iSWOOP project was presented at the 2019 NSF AISL Principal Investigators Meeting.
The project asks, “What are the real outcomes of the zoo or aquarium enterprise, both as a visitor destination and as a public voice in public media?” and has the following three aims:
To understand how visitor goals and behavior impact learning.
To understand how the conservation education agenda of most Z/As interlaces with those goals.
To understand how the public situates the voice of Z/As in society.
Project poster presented at the 2019 AISL PI Meeting in Alexandria, VA.
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
How does focusing on “community science literacy” change the role of an informal science learning center?
This poster was presented at the 2019 NSF AISL Principal Investigators meeting.
This project will advance efforts of the Innovative Technology Experiences for Students and Teachers (ITEST) program to better understand and promote practices that increase student motivations and capacities to pursue careers in fields of science, technology, engineering, or mathematics (STEM) by designing, implementing, and testing an afterschool internship program that will engage older youth in work-based learning experiences in in STEM fields. The new model program will link the resources and learning approaches of the Global Learning and Observations to Benefit the Environment (GLOBE) program to career academies where youth from populations underrepresented in STEM fields will gain direct experiences in data collection and analysis through student-led investigations in the geosciences and environmental studies. Two key outcomes of this project will be: (a) Development of a replicable model of an afterschool STEM internship program for informal STEM learning environments and schools across the nation, and (b) Development of a set of measurement tools and approaches that can assess and promote understanding regarding how youth think and feel about science and their possible future roles in science careers. Participating youth will master scientific practices and become immersed in science culture through opportunities to develop research projects, interact with scientists, and collaborate with fellow student-researchers. In the process, they will develop collaboration and communication skills, and gain an increased sense of identity and agency in science fields. They will also learn new strategies to attain their career goals.
In developing and testing the new model of an afterschool program focusing on STEM careers, the project will draw on both existing and emerging knowledge from three areas of inquiry: informal STEM learning, youth development, and work-based learning. The project will bring together theory related to work-based learning and apprenticeship to knowledge about informal STEM learning and youth development, addressing the needs of older youth as they transition to adulthood. The program will also explore the use of measurement tools that address workforce-related student learning goals in addition to social-emotional learning and STEM learning goals, adapting existing tools and developing new tools as needed. The result will be a replicable model for an afterschool, career-focused internship that facilitates STEM learning and identity, employing youth development principles, such as experiential learning, peer collaboration, adult mentoring, and meaningful contributions to the world beyond school. The project will use a mixed-methods approach to investigate four research questions: (1) What aspects of the program are most important for promoting the development of scientific practices, socio-emotional learning, and career skills? (2) How can afterschool informal science learning be designed to address the perceptions and needs of diverse groups, especially those from populations underrepresented in STEM? (3) How do youth make gains in developing facility with STEM practices, key social-emotional outcomes needed in work and civic life, and career development knowledge? And (4) How do we accurately measure development of scientific practices, socio-emotional learning and career skills? The project will develop pretest and posttest self-report measures to gauge program influence on social-emotional outcomes and career-related outcomes, and performance-based assessments and rubrics will be used to assess culminating science projects. Other factors contributing to the success of the new model will be examined through analysis of coach instructional logs, surveys, and questions, as well as participant observations, interviews, and focus groups. Project participants will be youth of ages 14-18 recruited from ten inner-city schools having large populations of students from groups underrepresented in STEM fields. Participants will meet in teams of approximately 14 interns for a total of 2.5 hours per week for 32 weeks. Each team will also meet an additional 4-6 times for weekend or overnight outings associated with their study sites.
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TEAM MEMBERS:
Manuel AlonsoCathy RingstaffSvetlana Darche
This project develops and examines place-based learning using mobile augmented reality experiences for rural families where museums and science centers are scarce yet where natural resources are rich with outdoor trails, parks, and forestlands. The collaborative research team, with members from rural libraries, outdoor learning centers, learning scientists at Penn State University, and rural communities in Pennsylvania, will develop augmented reality and mobile learning resources for families and children aged from 4 to 12. The goal is to help people see what is not visible in real-time in order to learn about life and earth sciences based on local watersheds, trees, and seasonal cycles that are familiar and relevant to rural communities. To accomplish this goal, the project team will create scientifically meaningful experiences for rural families and children in their out-of-school time through three iterations of research and design. Although there is evidence that augmented reality can support learning, little empirical research has been conducted to determine what makes one type of augmented learning experience more effective than others in outdoor learning spaces. This project will produce research findings on the utility of augmented reality for science learning with families and youths outdoors. 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
Through a four-year design-based research study, researchers will investigate three research questions. (1) How can outdoor learning experiences be enhanced with augmented reality and digital resources in ways that make science more visible and interesting?; (2) How do different forms of augmentations on trails and in gardens support science learning? 3) What social roles do children and parents play in supporting each other's science learning and connections to rural communities? Data collection includes video-recordings of children and families in the outdoors, learning analytics of people's behavior, and interviews with rural families. The project's research design will allow for the development of theory, which supports rural families learning science within and about their communities. At the end of the project, the team will offer generalizable design principles for technologically-enhanced informal learning for outdoor displays, gardens, and trails.
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.