How can we use a telenovela to help Latinx parents see themselves as role models in their young children’s science learning? Using an innovative, culturally relevant, meaningful, and authentic media program – a telenovela – to promote caregivers’ confidence, ability to support their children’s everyday science learning, and awareness of science career paths. Latinx children make 25% of the U.S. population but represent only 7% of the STEM workforce as adults. This project aims to change the narrative around Latinx family engagement with rich science learning that draws on home culture and
For at-risk children who cannot attend preschool, accessing science activities depends almost entirely on parents—but many parents have limited skills for supporting such learning. PBS station WGBH has recently launched a series of free family apps based on the Emmy Award-winning preschool science series, PEEP and the Big Wide World. The apps were developed to be used jointly by parent and child for a shared learning experience. Available on Google Play and the App Store in both Spanish and English, PEEP Family Science apps cover the topics of shadows, sound, color, and ramps, respectively.
To engage parents and young children in exploring science together, media producers from WGBH (Boston’s public media station) and researchers from Education Development Center (EDC) collaborated with two home-visiting organizations—Home Instruction for Parents of Preschool Youngsters (HIPPY USA) and AVANCE—to design and test PEEP Family Science, an app-based intervention with science-focused digital media resources and associated supports for diverse, low-income families. Both organizations target families whose children do not attend preschool. These home visiting organizations play a unique
With funding from NIH SEPA, OMSI is creating a mid-sized travelling exhibition that will promote public understanding of neuroscience research and its relevance to healthy brain development in early childhood.
The purpose of this report is to support the project team by assessing the extent to which the prototype activities, content, and labels tested contributed to visitor engagement, understanding, confidence, and future use of one or more strategies outlined. It was important to the project team that the exhibition be developed in collaboration with the communities for whom it is
Research that seeks to understand classroom interactions often relies on video recordings of classrooms so that researchers can document and analyze what teachers and students are doing in the learning environment. When studies are large scale, this analysis is challenging in part because it is time-consuming to review and code large quantities of video. For example, hundreds of hours of videotaped interaction between students working in an after-school program for advancing computational thinking and engineering learning for Latino/a students. This project is exploring the use of computer-assisted methods for video analysis to support manual coding by researchers. The project is adapting procedures used for computer-aided diagnosis systems for medical systems. The computer-assisted process creates summaries that can then be used by researchers to identify critical events and to describe patterns of activities in the classroom such as students talking to each other or writing during a small group project. Creating the summaries requires analyzing video for facial recognition, motion, color and object identification. The project will investigate what parts of student participation and teaching can be analyzed using computer-assisted video analysis. This project is supported by NSF's EHR Core Research (ECR) program, the STEM+C program and the AISL program. The ECR program emphasizes fundamental STEM education research that generates foundational knowledge in the field. The project is funded by the STEM+Computing program, which seeks to address emerging challenges in computational STEM areas through the applied integration of computational thinking and computing activities within disciplinary STEM teaching and learning in early childhood education through high school (preK-12). As part of its overall strategy to enhance learning in informal environments, the Advancing Informal STEM Learning (AISL) program 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 video analysis systems will provide video summarizations for specific activities which will allow researchers to use these results to quantify student participation and document teaching practices that support student learning. This will support the analysis of large volumes of video data that are often time-consuming to analyze. The video analysis system will identify objects in the scene and then use measures of distances between objects and other tracking methods to code different activities (e.g., typing, talking, interaction between the student and a facilitator). The two groups of research questions are as follows. (1) How can human review of digital videos benefit from computer-assisted video analysis methods? Which aspects of video summarization (e.g., detected activities) can help reduce the time it takes to review the videos? Beyond audio analytics, what types of future research in video summarization can help reduce the time that it takes to review videos? (2) How can we quantify student participation using computer-assisted video analysis methods? What aspects of student participation can be accurately measures by computer-assisted video analysis methods? The video to be used for this study is drawn from a project focused on engineering and computational thinking learning for Latino/a students in an after-school setting. Hundreds of hours of video are available to be reviewed and analyzed to design and refine the system. The resulting coding will also help document patterns of engagement in the learning environment.
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:
Marios PattichisSylvia Celedon-PattichisCarlos LopezLeiva
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 WarschauerDaniel WhitesonSara DeWittAndres BustamanteAbby Jenkins
This project responds to calls to increase children's exposure and engagement in STEM at an early age. With the rise of the maker-movement, the informal and formal education sectors have witnessed a dramatic expansion of maker and tinkering spaces, programs, and curricula. This has happened in part because of the potential benefits of tinkering experiences to promote access and equity in engineering education. To realize these benefits, it is necessary to continue to make and iterate design and facilitation approaches that can deepen early engagement in disciplinary practices of engineering and other STEM-relevant skills. This project will investigate how stories can be integrated into informal STEM learning experiences for young children and their families. Stories can be especially effective because they bridge the knowledge and experiences young children and their caregivers bring to tinkering as well as the conversations and hands-on activities that can extend that knowledge. In addition, a unique contribution of the project is to test the hypothesis that stories can also facilitate spatial reasoning, by encouraging children to think about the spatial properties of their emerging structures.
This project uses design-based research methods to advance knowledge and the evidence base for practices that engender story-based tinkering. Using conjecture mapping, the team will specify their initial ideas and how it will be evident that design/practices impact caregivers-child behaviors and learning outcomes. The team will consider the demographic characteristics, linguistic practices, and funds of knowledge of the participants to understand the design practices (resources, activities) being implemented and how they potentially facilitate learning. The outcome of each study/DBR cycle serves as inputs for questions and hypotheses in the next. A culturally diverse group of 300+ children ages 5 to 8 years old and their parents at Chicago Children's Museum's Tinkering Lab will participate in the study to examine the following key questions: (1) What design and facilitation approaches engage young children and their caregivers in creating their own engineering-rich tinkering stories? (2) How can museum exhibit design (e.g., models, interactive displays) and tinkering stories together engender spatial thinking, to further enrich early STEM learning opportunities? and (3) Do the tinkering stories children and their families tell support lasting STEM learning? As part of the overall iterative, design-based approach, the team will also field test the story-based tinkering approaches identified in the first cycles of DBR to be most promising.
This project will result in activities, exhibit components, and training resources that invite visitors' stories into open-ended problem-solving activities. It will advance understanding of mechanisms for encouraging engineering learning and spatial thinking through direct experience interacting with objects, and playful, scaffolded (guided) problem-solving activities.
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 poster was presented at the 2019 NSF AISL Principal Investigators Meeting.
The project's goals were to:
Use a series of 6 museum-facilitated family workshops at pre-kindergarten (pre-k) centers to promote informal STEM learning.
Examine 3 conditions in which families and their children most benefit from “doing science and math” together.
Focus on populations that are typically underrepresented in STEM fields – families experiencing poverty and families who speak English and/or Spanish at home
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TEAM MEMBERS:
Tricia ZuckerCheryl McCallumMichael AsselJanelle MontroyArmando OrdunaGisela Trevino
Ruff Family Science is an exploratory project funded by the National Science Foundation (NSF) that aims to foster joint media engagement and hands-on science exploration among diverse, low-income parents and their 4- to 8-year-old children. Building on the success of the PBS series FETCH! with Ruff Ruffman, the project leverages FETCH’s funny and charismatic animated host, along with its proven approach to teaching science, to inspire educationally disadvantaged families to explore science together. More specifically, the project is undertaking a research and design process to create prototype
Informal science learning (ISL) organizations that are successful at providing meaningful science, technology, engineering, arts, and mathematics (STEAM) experiences for Latino children, youth, and their families share some common traits. They have leaders and staff who believe in the importance of developing culturally relevant models and frameworks that meet the needs and acknowledge the legacy of STEAM in Latino communities. Such organizations are willing to take risks to create experiences that are culturally meaningful, garner funding and implement programs by working closely with their
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TEAM MEMBERS:
Cheryl JuarezVerónika NúñezExploratorium
Community collaboration and empowerment was identified by the GENIAL organizers as an important theme to include in the Summit. Informal STEM learning (ISL) organizations strive to engage Latino audiences in their science, technology, engineering, and math (STEM) programming on a long-term basis and recognize the importance of understanding the needs, motivations, interests, and challenges of the diverse Latino community in the context of STEM participation. An effective way to collaborate with a community is to involve them as equal partners in the co-development of ISL experiences. A key
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TEAM MEMBERS:
Salvador AcevedoPaul DusenberyExploratorium
In this case study, we highlight the work of the Bay Area STEM Ecosystem, which aims to increase equity and access to STEM learning opportunities in underserved communities. First, we lay out the problems they are trying to solve and give a high level overview of the Bay Area STEM Ecosystem’s approach to addressing them. Then, based on field observations and interviews, we highlight both the successes and some missed opportunities from the first collaborative program of this Ecosystem. Both the successes of The Bay Area STEM Ecosystem--as well as the partners’ willingness to share and examine