The project will develop and research how an emerging technology, immersive virtual reality (IVR) using head mounted displays (HMDs), can enhance ocean literacy and generate empathy towards environmental issues. Recent advances in design have resulted in HMDs that provide viscerally realistic and immersive experiences that situate participants in underwater or other remote environments. IVR can provide many people with virtual access to these environments, including persons with disabilities, people living away from coastal areas, or those who lack access for other reasons (e.g., low-income families, underserved/underrepresented communities, persons untrained in diving). The project will develop a high quality 360-degree underwater film that includes live action footage, animation, and interactive elements. The IVR experience will take the participant through an immersive underwater journey of a Pacific reef, using realistic visualizations, narrative, and a compelling story to engage participants in learning the ecology and biology of coral reefs, as well as the impacts of climate change and human disturbances on ocean ecosystems. In addition to the IVR ocean journey, the project will integrate interactive functionality of being on a reef during mass coral spawning, an annual natural phenomenon through which coral reefs replenish their populations. With hand-held controllers, participants will be able to "swim" through the water, watch the degraded reef recover and grow and will have the ability to change the rate of coral recovery and learn how increases in temperature impede coral recovery. While research has been conducted on early, desk-top versions of IVR, the potential impact of IVR on learning is still unclear. The research findings will help guide the development of IVR for use in informal STEM environments such as aquariums, zoos, science museums, and others. The IVR experience will be shared on online platforms for home viewing, at film festivals and conferences, and in informal learning environments.
The project addresses the need for research on the impacts of IVR devices as it become more affordable and more widely used at home and in other informal and formal environments. Few studies have investigated how design elements impact the user in IVR, in which the increased immersion affects the stimuli perception and cognitive processing. The research will assess the learning affordances and impacts of the IVR experience on participant ocean literacy (adapting items from an existing ocean literacy survey), environmental empathy/feelings of presence (naturalistic observations and post-experience interviews), and perceived self-efficacy (pre-post survey, post-interview interviews). In addition, the project will research how segmentation (i.e., a continuous experience vs. an experience with breaks), generative learning tasks (hands-on experiences and interactive during IVR), and gender of the narrator in an IVR experience supports learning about ocean environments. Researchers will collect data from students attending high schools with predominantly minority student enrollments. Research findings will be widely shared through peer-reviewed publications, conference presentations, and publications for educators and designers.
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 four-year research study will investigate families' joint media engagement (JME) and informal STEM learning while listening to the child-focused STEM podcast, Brains On! Prior research has shown that the setting where families most often listen to this podcast together is the family automobile as children are being driven to school, on road trips, or other activities. Brains On! is rooted in the mission-driven principle of public radio to educate and inspire. The target audience is children 5-12 years old and their parents or caregivers. Each episode ranges from 20-45 minutes in length and presents ideas from a variety of STEM disciplines such as physics, chemistry, biology and engineering featuring sound-rich explanations of concepts through fun skits, original songs and interviews with scientists. The episodes use a light-hearted, humorous approach to share oftentimes complex STEM information. To provide an interactive experience, hosts encourage the audience to participate with the show by sending in drawings, emailing photos of plants and animals, or posing questions to be answered in future episodes. Every episode is co-hosted by a different child who interviews top scientists about their work. The scientists are selected to be representative of the range of topics presented and are meant to serve as role models for the listeners and demonstrating a wide range of career options in the STEM field.
The research adds to the social learning theory of joint media engagement (JME) which has shown that interactions between people sharing a media experience can result in learning together. Recent work on Joint Media Engagement has focused on parent/child interactions with television/video in the home. But little is known about how families engage with children's STEM podcasts together and what learning interactions occur as a result. Even less is known about this engagement within an automobile setting. This research project will build new knowledge filling a gap in the informal STEM learning field. It will use a mixed-methods research design with three phases of research to answer these questions: 1) How does the Brains On! podcast mediate STEM-based joint media engagement and family learning in an automobile setting? 2) What does STEM based joint media engagement and family learning look and sound like in this setting? 3) How do "in-automobile" factors foster or impede STEM-based joint media engagement and family learning? Phase 1 is a listener experience video study of 30 families listening to the Brains On! episodes. Phase 2 is video-based case studies of the natural automobile-based listening behaviors of eight Phase 1 families. Phase 3 is an online survey of Brains On! listeners to understand how representative the findings from Phases 1 and 2 are to the larger Brains On! Research. Results will be shared widely with key audiences that can use the findings (media developers, ISE practitioners, ISE evaluators and researchers, and families). It will also make an important contribution to the Joint Media Engagement literature and the ISE field.
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.
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
BioEYES is a K-12 science outreach program that develops self-sustaining teachers as a replication strategy to address high demand for the program while promoting long-term school partnerships. This paper explores the practices of “model teachers” from multiple grades, who are empowered over a three-year period to deliver BioEYES’ hands-on science content autonomously, as compared to the program’s standard co-teaching model (BioEYES educator + classroom teacher). The authors found that BioEYES’ professional development (PD) workshop, classroom co-teaching experience, and refresher trainings
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.
This game is used to measure whether program participation helps to evelop the child’s ability to accurately predict or infer an animal’s emotional state.
This observational framework can be used with different group types (e.g. family, school group, adult couple, individual, etc.) and across diverse settings such as with public program audiences, camps, or guests at animal exhibits. The framework includes expressions of empathy and related emotions, such as curiosity or appreciation.
With funding from a Smithsonian Institution Youth Access Grant the National Museum of Natural History offered a program pipeline that would engage underserved Washington D.C. students in programming designed to encourage academic and career STEM interest. Beginning with collaboration with community educators, the pipeline funneled students into a Teen Night Out Science Night to interest them in science workshop series offered after school and on weekend and ultimately into volunteer and internship opportunities. This report provides detailed view of methods, analyses, results, and conclusions