RISES (Re-energize and Invigorate Student Engagement through Science) is a coordinated suite of resources including 42 interactive English and Spanish STEM videos produced by Children's Museum Houston in coordination with the science curriculum department at Houston ISD. The videos are aligned to the Texas Essential Knowledge and Skills standards, and each come with a bilingual Activity Guide and Parent Prompt sheet, which includes guiding questions and other extension activities.
PocketMacro is a mobile app designed by the Learning Media Design Center at Carnegie Mellon University in collaboration with Stroud Water Research Center, Carnegie Museum of Natural History and Clemson University, and stakeholder input. The PocketMacro app aims to help users better identify benthic macroinvertebrates commonly found in streams and other waterways. Rockman et al Cooperative (REA), an independent educational evaluation group, designed a summative study to explore the effectiveness of the app in supporting users’ aquatic macroinvertebrate identification. The purpose of the
The New England Aquarium will create Conservation STEM — an online curriculum that features engaging videos and hands-on activities aligned with state and national standards that are easily accessible for teachers to use in the classroom. The project responds to a need that the aquarium’s Teacher Advisory Council — composed of Pre-K through 12 teachers from the greater Boston area — identified, which was to help students develop critical and systems thinking skills. It also will provide a means for teachers to engage students with authentic experiences to address real-world problems and build an understanding of the need for a balanced use of the ocean.
This project's goals are to:
Enable participants to contribute to any or all stages of the scientific process and enhance their learning using an online citizen science platform and live bird cams.
Generate new scientific knowledge about wildlife.
Advance the understanding of effective project design for co-created online citizen-science projects at a national scale.
This poster was presented at the 2021 NSF AISL Awardee Meeting.
PocketMacro is a mobile app designed by The Human-Computer Interaction Institute at Carnegie Mellon University to help users better identify benthic macroinvertebrates commonly found in streams and other waterways. In Summer 2021, the app and other supplemental materials were highlighted during trainings for educators held at the Stroud Water Research Center.
The evaluation team from Rockman et al Cooperative (REA) surveyed and interviewed educators who participated in the summer trainings to determine what they took away from the experience and to gather feedback about the PocketMacro app
This summative evaluation describes the FOSSIL (Fostering Opportunities for Synergistic STEM with Informal Learners) project activities and outcomes. Over the six-year funding period of this project, we developed a community of practice of more than 10,000 participants (via our web site, social media, and app) who share an interest in fossils and paleontology. This report describes the success and challenges of the FOSSIL project.
Learning to See, Seeing to Learn is a National Science Foundation-funded project to develop www.macroinvertebrates.org, a digital observation tool and set of informational resources that can supplement volunteer biomonitoring trainings and improve aquatic macroinvertebrates identification. Project researchers are interested in how trainers and volunteers use the tool, as well as how training that incorporates the tool impacts volunteers’ confidence in and accuracy around aquatic macroinvertebrates identification. In November 2018, project partner, Stroud Water Research Center, conducted a
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 RAPID was submitted in response to the NSF Dear Colleague letter related to the COVID-19 pandemic. This award is made by the AISL program in the Division of Research on Learning, using funds from the Coronavirus Aid, Relief, and Economic Security (CARES) Act. The project will develop and research an integrated package of high-quality, widely accessible media and other outreach materials designed to engage middle school youth, educators, and libraries in learning about viruses in relation to COVID-19. There is an immediate need to provide youth with accurate, engaging, and accessible materials to help them understand the basic biology underlying the COVID-19 pandemic, including the routes of COVID-19 transmission and mechanisms to prevent its spread. This is particularly important for those without science backgrounds or interests so that the rumors, hearsay, and gossip circulating among youth can be replaced with research-based information. Since 2007, the project team and partners have focused on developing and studying new ways of educating youth and the public about biology, virology, and infectious disease. The project will develop a web-accessible package of customizable graphics, illustrated stories, and essays--all of which can be easily incorporated into free-choice and directed on-line learning as well standards-based lesson plans for Grades 6-8. These resources will be disseminated broadly and at no cost to youth and educators of all kinds, including schools, libraries, museums, and other established networks for formal and informal science education. The project web package will be linked to multiple websites that serve as important educational resources on science and virology for youth, the general public, and educators. A prominent university press will publish and promote the illustrated stories and support distribution of 7,000 free copies.
The project will conduct research examining how richly-illustrated science narratives impact youth understanding of and curiosity about science. The research will help develop the foundation for better understanding how to educate youth about COVID-19 (and future pandemics) while generating new knowledge about effective methods for public science outreach during a major unanticipated natural event. For formative evaluation, the project will use an innovative rapid response feedback method. Youth will be invited to provide timely, specific comments on the serialized stories through a curated portal. As new excerpts are related online, different questions will be posed to youth who are selected because of specific characteristics (e.g., low or high initial science interest). These data will guide story development in real time and provide a mechanism to gauge the story appeal, comprehensibility, and initial impacts. The project will address two research questions: (1) How effective are illustrated stories in having positive impacts among participants on COVID-19 knowledge, science identity, attitudes, and interest in science careers?; and (2) How do story lines and characters have differential impacts on virus knowledge, epidemiology, and youth attitudes towards science and science careers? To conduct this research, the project will conduct online surveys using adapted items from prior research conducted by the project team. Additional items will assess COVID-19 knowledge, attitudes, personal experiences with the virus, well-being, and exposure to public health messaging about the virus. Research findings will be shared widely to inform the field about new ways delivering science education content during the advent of rapidly evolving global and educational challenges.
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.
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TEAM MEMBERS:
Judy DiamondJulia McQuillanPatricia Wonch HillElizabeth VanWormer
Identifying private gardens in the U.K. as key sites of environmental engagement, we look at how a longer-term online citizen science programme facilitated the development of new and personal attachments of nature. These were visible through new or renewed interest in wildlife-friendly gardening practices and attitudinal shifts in a large proportion of its participants. Qualitative and quantitative data, collected via interviews, focus groups, surveys and logging of user behaviours, revealed that cultivating a fascination with species identification was key to both ‘helping nature’ and wider
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TEAM MEMBERS:
Nirwan SharmaSam GreavesAdvaith SiddharthanHelen AndersonAnnie RobinsonLaura Colucci-GrayAgung Toto WibowoHelen BostockAndrew SalisburyStuart RobertsDavid SlawsonRené van der Wal
In citizen science, user-centred development is often emphasised for its potential to involve participants in the development of technology. We describe the development process of the mobile app “Naturblick” as an example of a user-centred design in citizen science and discuss digital user feedback with regard to the users' involvement. We have identified three types of digital user feedback using qualitative content analysis: general user feedback, contributory user feedback and co-creational user feedback. The results indicate that digital user feedback can link UCD techniques with more
Char Associates conducted an evaluation of the four-year, NSF-funded project, Interpreters and Scientists Working on Our Parks (iSWOOP). The project brought interpreters and scientists together in multi-day professional development sessions at five national parks with the purpose of showcasing scientific research that usually goes unseen and unappreciated by park visitors. iSWOOP coordinated the development and delivery of digital libraries including animations, still photos, thermal and high-speed videos, and maps to give visual support to explanations of particular scientific studies. 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.