The Institute for Native Pacific Education and Culture (INPEACE) will create a mobile science exhibit to support improved academic outcomes in science and math for students from pre-school to eighth grade. With the collaboration of science experts, teachers, students, and cultural practitioners, the project team will identify and design three core exhibits using a culture-based educational approach. The project will link indigenous knowledge and practices with scientific theory, providing hands-on experiences designed to engage youth in STEM learning. The 'Ike Hawai'i Science Center Exhibit will visit rural Native Hawaiian communities on O'ahu and at least one other island. It will be available to public audiences of all ages.
Marbles Kids Museum will develop tools and strategies to train its staff, volunteers, and interns to engage infants, toddlers, and preschool children in activities and conversations that lay the foundation for critical early math skills. The staff capacity-building project will deepen the museum staff's understanding of early math skills, how to foster those skills, and why investment in early math is critical to long term success in school. With a content coach, the museum will research and develop early math resources, activities, and exhibit enhancements that engage children and their families. Additionally, the museum will seek to understand community needs related to early math learning, and create content for professional development video modules. The museum will modify the professional development modules to create caregiver workshops focused on fostering early math learning through everyday activities and play at home. Museum staff will share tools and lessons learned through a regional museum convening and at national conferences.
Sense-making with data through the process of visualization—recognizing and constructing meaning with these data—has been of interest to learning researchers for many years. Results of a variety of data visualization projects in museums and science centers suggest that visitors have a rudimentary understanding of and ability to interpret the data that appear in even simple data visualizations. This project supports the need for data visualization experiences to be appealing, accommodate short and long-term exploration, and address a range of visitors’ prior knowledge. Front-end evaluation
Mathematics plays a significant role in understanding and participating in science, technology, and engineering (STEM). Research shows that early mathematics experiences in everyday life are critical to the development of children's mathematical knowledge. This project will explore an innovative approach to fostering parent-child math interactions and conversations related to mathematical ideas. The approach will use community-based, exhibit installations called Mathscapes. These are artistic, culturally relevant, easily accessible, physical installations designed to encourage adults and children (ages 3 to 7) to use their immediate environment to playfully explore key early math concepts. The project also addresses a need for research about the cultural experiences and resources that marginalized children and families bring to mathematical conversations. Understanding parent-child interactions about mathematics community settings could result in new knowledge about early math learning among low income children and parents. 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.
This exploratory study will design and investigate an innovative approach to encouraging math talk and math-related interactions between parents and children (ages 3-7) through the creation of MathScapes. These are temporary physical installations designed to use the immediate environment to playfully explore mathematical concepts. This study will be conducted in two Boston neighborhoods that are populated by low-income, non-dominant minority and immigrant families. Adopting a case study approach, the project will use observational methods, discourse analysis of parent/child talk, and interviews to study the interactions of 200 families at two neighborhood Mathscape installations. LENA devices will be used to capture parent/child talk at the Mathscapes while researchers use observational methods to document participant interactions, talk, and gestures. Data sources will include audio recordings of family talk, field notes of family interactions at Mathscape installations, surveys, and interviews. A qualitative approach will be used to produce research findings at multiple levels. The focus of the analysis will be to understand if this approach enhances the quality and quantity of math talk between parents and children. The project will be carried out by a research-practice-community partnership in Boston, Massachusetts that includes community mathematics educators, education researchers, and participating children and families. The design of community installations could promote engagement with math through adult/child conversations in culturally-relevant contexts situated in the local environment. By addressing the cultural experiences and resources of young people, the project could greatly enhance our understanding of how to leverage the resources that children and families bring to engaging with mathematics.
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.
DATE:
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TEAM MEMBERS:
Omowale MosesDanny MartinCatherine O'ConnorNermeen Darshoush
As the world is increasingly dependent upon computing and computational processes associated with data analysis, it is essential to gain a better understanding of the visualization technologies that are used to make meaning of massive scientific data. It is also essential that the infrastructure, the very means by which technologies are developed for improving the public's engagement in science itself, be better understood. Thus, this AISL Innovations in Development project will address the critical need for the public to learn how to interpret and understand highly complex and visualized scientific data. The project will design, develop and study a new technology platform, xMacroscope, as a learning tool that will allow visitors at the Science Museum of Minnesota and the Center of Science and Industry, to create, view, understand, and interact with different data sets using diverse visualization types. The xMacroscope will support rapid research prototyping of public experiences at selected exhibits, such as collecting data on a runner's speed and height and the visualized representation of such data. The xMacroscope will provide research opportunities for exhibit designers, education researchers, and learning scientists to study diverse audiences at science centers in order to understand how learning about data through the xMacroscope tool may inform definitions of data literacy. The research will advance the state of the art in visualization technology, which will have broad implications for teaching and learning of scientific data in both informal and formal learning environments. The project will lead to better understanding by science centers on how to present data to the public more effectively through visualizations that are based upon massive amounts of data. Technology results and research findings will be disseminated broadly through professional publications and presentations at science, education, and technology conferences. The 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. The project is driven by the assumption that in the digital information age, being able to create and interpret data visualizations is an important literacy for the public. The research will seek to define, measure, and advance data visualization literacy. The project will engage the public in using the xMacrocope at the Science Museum of Minnesota and at the Center of Science and Industry's (COSI) science museum and research center in Columbus, Ohio. In both museum settings the public will interact with different datasets and diverse types of visualizations. Using the xMacroscope platform, personal attributes and capabilities will be measured and personalized data visualizations will be constructed. Existing theories of learning (constructivist and constructionist) will be extended to capture the learning and use of data visualization literacy. In addition, the project team will conduct a meta-review related to different types of literacy and will produce a definition with performance measures to assess data visualization literacy - currently broadly defined in the project as the ability to read, understand, and create data visualizations. The research has potential for significant impact in the field of science and technology education and education research on visual learning. It will further our understanding of the nature of data visualization literacy learning and define opportunities for visualizing data in ways that are both personally and culturally meaningful. The project expects to advance the understanding of the role of personalization in the learning process using iterative design-based research methodologies to advance both theory and practice in informal learning settings. An iterative design process will be applied for addressing the research questions by correlating visualizations to individual actions and contributions, exploring meaning-making studies of visualization construction, and testing the xMacroscope under various conditions of crowdedness and busyness in a museum context. The evaluation plan is based upon a logic model and the evaluation will iteratively inform the direction, process, and productivity of the project.