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resource project Exhibitions
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.
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TEAM MEMBERS: Jeremy Bailenson Erika Woolsey
resource project Media and Technology
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.
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TEAM MEMBERS: Amy Grack Nelson Molly Bloom
resource project Media and Technology
Future educational robots are emerging as social companions supporting learning. By socially interacting with such a robot, learners can potentially reason and talk about the things they are learning and receive help in seeing the relevance of STEM in their daily lives. However, little is known about how to design educational robots to work with youth at home over a long period of time. This project will develop an informal science learning program, called STEMMates, in collaboration with a local community center, for youth with little interest in science. The program will partner learners with an in-home learning companion robot, designed to read books with youth and provide science activities for them at the community center, where youth will engage in exciting and personally relevant science learning. As the learner reads books, the robot will make comments about what is happening in the book to help connect the reading to the science activities at the community center. The overarching goals of STEMMates are to: (a) positively support youth's individual interest in science and future science learning, (b) connect in-home learning experiences with out-of-school community-based learning, (c) bridge the gap between formal and informal engagement and learning in science, and (d) encourage the participation of youth who are underrepresented and who have low interest in STEM learning. This project is funded by the Advancing Informal STEM Learning program, which seeks to advance new approaches to and evidence-based understanding of the design and development of STEM learning opportunities for the public in informal environments.

Researchers will work with youth and staff at the community center, alongside experts in informal science learning, to design the program and then test how learners respond to reading with the robot and participating in the science activities and whether this program has a lasting impact on their science interest. Social interactions with a robot may help distribute cognitive load during learning activities to help youth reason about STEM and also supplement learning by improving feelings of value and belongingness in order to facilitate lasting interest development. Following a mixed-methods research approach using qualitative and quantitative data-collection techniques, the research team will investigate the following research questions: (1) What social and interest-development supports and activities can be utilized as socially situated interest scaffolds in an informal and in-home, augmented reading and science activity program to promote individual interest and learning in science for low interest learners? How can a social robot best facilitate this program? (2) How do learners perceive and interact with the robot in authentic, in-home, long-term situations, and how does this interaction change over time? (3) Does working with a robot designed with socially situated interest scaffolds increase individual interest in science when compared to a pre-intervention baseline, and do these effects impact future (long-term) interest and engagement in formal science learning? To answer these research questions, researchers will implement the science learning program during an 11-week summer deployment and utilize an AB single-case research design. Interview-based qualitative data and self-report surveys to examine the learner?s perception of the robot and their evolving interest in science and quantitative data on science learning using pre-/post-measure comparisons will be collected. Log data of time-on-task, reading rate, book selection and reading goal attainment will also be collected by the robot. The outcomes of this project will lay the groundwork for future investigations of the design of social robots for a diversity of learner populations and their use in different informal learning settings.

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: Bilge Mutlu
resource project Exhibitions
There is a dearth of prominent STEM role models for underrepresented populations. For example, according to a 2017 survey, only 3.1% of physicists in the United States are Black, only 2.1% are Hispanic, and only 0.5% are Native American. The project will help bridge these gaps by developing exhibits that include simulations of historical scientific experiments enacted by little-known scientists of color, virtual reality encounters that immerse participants in the scientists' discovery process, and other content that allows visitors to interact with the exhibits and explore the exhibits' themes. The project will develop transportable, interactive exhibits focusing on light: how we perceive light, sources of light from light bulbs to stars, uses of real and artificial light in human endeavors, and past and current STEM innovators whose work helps us understand, create, and harness light now. The exhibits will be developed in three stages, each exploring a characteristic of light (Color, Energy, or Time). Each theme will be explored via multiple deliveries: short documentary and animated films, virtual reality experiences, interactive "photobooths," and technology-based inquiry activities. The exhibit components will be copied at seven additional sites, which will host the exhibits for their audiences, and the project's digital assets will enable other STEM learning organizations to duplicate the exhibits. The exhibits will be designed to address common gaps in understanding, among adults as well as younger learners, about light. What light really is and does, in scientific terms, is one type of hidden story these exhibits will convey to general audiences. Two other types of science stories the exhibits will tell: how contemporary research related to light, particularly in astrophysics, is unveiling the hidden stories of our universe; and hidden stories of STEM innovators, past and present, women and men, from diverse backgrounds. These stories will provide needed role models for the adolescent learners, helping them learn complex STEM content while showing them how scientific research is conducted and the diverse community of people who can contribute to STEM innovations and discoveries.

The project deliverables will be designed to present complex physics content through coherent, immersive, and embodied learning experiences that have been demonstrated to promote engagement and deeper learning. The project will research whether participants, through interacting with these exhibits, can begin to integrate discrete ideas and make connections with complex scientific content that would be difficult without technology support. For example, students and other novices often lack the expertise necessary to make distinctions between what is needed and what is extra within scientific problems. The proposed study follows a Design-Based Research (DBR) approach characterized by iterative cycles of data collection, analysis, and reflection to inform the design of educational innovations and advance educational theory. Project research includes conceiving, building, and testing iterative phases, which will enable the project to capture the complexity of learning and engagement in informal learning settings. Research participants will complete a range of research activities, including focus group interviews, observation, and pre-post assessment of science content knowledge and dispositions.

By showcasing such role models and informing about related STEM content, this project will widen perspectives of audiences in informal learning settings, particularly adolescents from groups underrepresented in STEM fields. Research findings and methodologies will be shared widely in the informal STEM learning community, building the field's knowledge of effective ways to broaden participation in informal science learning, and thus increase broaden participation in and preparation for the STEM-based workforce.

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: Todd Boyette Jill Hamm Janice Anderson Crystal Harden
resource evaluation Media and Technology
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
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resource project Media and Technology
Science television shows are an important source of informal learning and enrichment for preschool-aged children. However, one limitation of television programming is that it is largely a one-way, non-interactive medium. Research suggests that children learn best through active engagement with content, and that parents can make TV watching more interactive by co-viewing and talking with their children. However, many parents and other adults may lack the time or experience and comfort with science language and content to provide critcial just-in-time support for their children. This study seeks to take advantage of recent advances in artificial intelligence that now allow children to enjoyably interact with automated conversational agents. The research team will explore whether such conversational agents, embedded as an on-screen character in a science video, can meaningfully interact with children about the science content of the show by simulating the benefits of co-viewing with an adult. If successful, the project could lay the foundation for a new genre of science shows, helping transform video watching into more interactive and engaging learning experiences. 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 will develop interactive videos incorporating a conversational agent in three 11-minute episodes of a future children's animated television program. The videos will enable children to speak with the main character of the show as the character solves everyday science mysteries, thus priming children to engage in observation, prediction, pattern finding, and problem solving through scaffolded conversation. This study will be carried out in two iterative cycles with the goal of developing and testing the embedded conversational function for each episode. In each cycle, the project team, which includes experts in children's TV production, as well as educational and HCI researchers will develop the storyboard and conversation prompts and follow-ups, create animated videos based on the revised script, and create a mobile application of the interactive video integrated with the conversational agent. Field testing with 10 children will be conducted to iteratively improve the embedded conversational function. In the pilot testing stage, a controlled study will be conducted with 30 children in each group (N=120): 1) watching the episode with the embedded conversational function; 2) watching the episode with a human partner carrying out the dialogue in the script rather than the virtual character; 3) watching the episode with pseudo-interaction, in which the animated character asks questions but does not attempt to understand or personally respond to children's answers; and 4) watching the episode with no dialogue. Data collected from the experiments will be used to examine whether and in what ways use of a conversational agent affects children's engagement, attention, communication strategies, perceptions, and science learning, and whether these effects vary by children's age, gender, socioeconomic status, language background, and oral language proficiency in English. The project will provide a comprehensive evaluation of the feasibility and potential of incorporating conversational agents into screen media to foster young children's STEM learning and engagement.

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: Mark Warschauer Daniel Whiteson Sara DeWitt Andres Bustamante Abby Jenkins
resource project Media and Technology
Robots and robotics excite and challenge youths and adults. Unfortunately, the cost of purchasing robots or building useful robots is prohibitive for many low resource individuals and groups. This project will relieve this expense and provide an opportunity for resource limited individuals to experience the thrilling aspects of robotics by building a computer game that simulates robotic action. This project uses co-robotics wherein the participating player programs an avatar to assist in a symbiotic manner to achieve the goals of the game and participant. The game will provide access to the ideas and concepts such as programing, computational thinking and role assumption. The overarching goals are (1) to engage low-resource learners in STEM education through robotics in out-of-school spaces, and (2) to update the field of robotics-base STEM education to integrate the co-robotics paradigm.

This project is designed to gain knowledge on how co-robotics can be used in the informal education sector to facilitate the integration of computational science with STEM topics and to expand the educational use of co-robotics. Because the concept of co-robotics is new, a designed-based research approach will be used to build theoretical knowledge and knowledge of effective interventions for helping participants learn programing and computational thinking. Data will be collected from several sources including surveys, self-reports, in game surveys, pre and post-tests. These data collection efforts will address the following areas: Technology reliability, Resolution of cognitive tension around co-play, Accelerate discovery and initial engagement, Foster role-taking and interdependence with co-robots, Investigate social learning, and Validate measures using item response theory analysis. The DBR study questions are:

1.What design principles support the development of P3Gs that can effectively attract initial engagement in a free-choice OST space that offers large numbers of competing options? 2.What design principles support a P3G gameplay loop that enables learning of complex skills, computational thinking and co-robotics norms, and building of individual and career interest over the course of repeated engagement?

3.What design principles support P3Gs in attaining a high rate of re-engagement within low-resource OST settings? 4.What kinds of positive impact can P3Gs have on their proximal and distal environment? In addition, the project will research these questions about design: 1.What technical and game design features are needed to accommodate technological interruption? 2.What design elements or principles mitigate competition for cognitive resources between real-time play and understanding the co-robotic's behavior in relation to the code the player wrote for it? 3.What design elements are effective at getting learners in OST settings to notice and start playing the game? 4.What designs are effective at encouraging learners to engage with challenging content, particularly the transition from manual play to co-play? 5.What design elements help players develop a stake in the role the game offers? 6.What social behaviors emerge organically around a P3G prototype that is not designed to evoke specific social interactions?

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: Ross Higashi
resource project Media and Technology
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 Lane Neil Comins Jorge Perez-Gallego David Condon
resource project Media and Technology
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.
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TEAM MEMBERS: Gregory Newman Subhashini Sivagnanam Laura Trouille Sarah Benson-Amram Jeff Clune Lucy Fortson Craig Packer Christopher Lintott Daniel Boley
resource project Media and Technology
This project will advance efforts of the Innovative Technology Experiences for Students and Teachers (ITEST) program to better understand and promote practices that increase students' motivations and capacities to pursue careers in fields of science, technology, engineering, or mathematics (STEM) by engaging in hands-on field experience, laboratory/project-based entrepreneurship tasks and mentorship experiences.

Twin Cities Public Television project on Gender Equitable Teaching Practices in Career and Technical Education Pathways for High School Girls is designed to help career and technical education educators and guidance counselors recruit and retain more high school girls from diverse backgrounds in science, technology, engineering and math (STEM) pathways, specifically in technology and engineering. The project's goals are: 1) To increase the number of high school girls, including ethnic minorities, recruited and retained in traditionally male -STEM pathways; 2) To enhance the teaching and coaching practices of Career and Technical Education educators, counselors and role models with gender equitable and culturally responsive strategies; 3) To research the impacts of strategies and role model experiences on girls' interest in STEM careers; 4) To evaluate the effectiveness of training in these strategies for educators, counselors and role models; and 5) To develop training that can easily be scaled up to reach a much larger audience. The research hypothesis is that girls will develop more positive STEM identities and interests when their educators employ research-based, gender-equitable and culturally responsive teaching practices enhanced with female STEM role models. Instructional modules and media-based online resources for Minnesota high school Career and Technical Education programs will be developed in the Twin Cities of Minneapolis and St. Paul and piloted in districts with strong community college and industry partnerships. Twin Cities Public Television will partner with STEM and gender equity researchers from St. Catherine University in St. Paul, the National Girls Collaborative, the University of Colorado-Boulder (CU-Boulder), the Minnesota Department of Education and the Minnesota State Colleges and Universities System.

The project will examine girls' personal experiences with equitable strategies embedded into classroom STEM content and complementary mentoring experiences, both live and video-based. It will explore how these experiences contribute to girls' STEM-related identity construction against gender-based stereotypes. It will also determine the extent girls' exposure to female STEM role models impact their Career and Technical Education studies and STEM career aspirations. The study will employ and examine short-form autobiographical videos created and shared by participating girls to gain insight into their STEM classroom and role model experiences. Empowering girls to respond to the ways their Career and Technical Education educators and guidance counselors guide them toward technology and engineering careers will provide a valuable perspective on educational practice and advance the STEM education field.
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TEAM MEMBERS: Rita Karl Brenda Britsch Siri Anderson
resource research Media and Technology
These Latinas are innovators, problem-solvers and science superstars who celebrate their heritage and culture. They’re passionate about their work, hobbies, families and helping to make the world a better place. They share their strategies and pathways in jobs where Latinas are under-represented, and motivate girls to pursue all kinds of interests and career paths. Estas latinas solucionan problemas, son innovadoras y superestrellas de ciencia que celebran su patrimonio y cultura. Les apasiona su trabajo, familia, aficiones y ayudar a mejorar el mundo. Comparten sus estrategias y caminos en
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TEAM MEMBERS: Rita Karl
resource evaluation Media and Technology
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 Raddick Karen Carney Jason Reed Andrea Lardner