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resource evaluation Exhibitions
This study collected data from seven planetarium email lists (one per planetarium regional organization in the United States), as well as online survey panel data from residents in each area, to describe and compare those who do and do not visit planetariums.
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TEAM MEMBERS: Karen Peterman Keshia Martin Jane Robertson Evia Sally Brummel Holly L. Menninger
resource project Exhibitions
The Mississippi Children’s Museum will complete WonderBox, a 1,500 square foot-STEAM exhibit in the museum’s existing arts gallery. WonderBox will address a critical need in Mississippi for increased education in STEAM subjects during elementary grades—particularly for those individuals who are underserved and lack adequate access to resources. Through the proposed exhibit area and programming, children from all backgrounds will explore topics such as design, art, coding, robotics, engineering, and circuitry. It will encourage active exploration and inquiry-based learning while facilitating parent/caregiver interaction with hands-on activities and guided conversations that will inspire children to design, create, and invent. Additionally, the gallery will offer children opportunities to interact with concepts from industries that are vital to Mississippi’s economy in an environment that encourages innovation and creative problem solving.
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TEAM MEMBERS: Susan Easom Garrard
resource project Exhibitions
Artificial intelligence (AI) is in many of our everyday activities—from unlocking phones to running Internet searches to parking cars. Yet, most instruction on how AI works is only in computer science courses. The unique role that AI plays in making decisions that affect human lives heightens the need for education approaches that promote public AI literacy. Little research has been done to understand how we can best teach AI in informal learning spaces. This project will engage middle school age youth in learning abouts AI through interaction with museum exhibits in science and technology centers. The exhibits employ embodied interactions and creative making activities that involve textiles, music making, and interactive media. The research will build on three exhibit prototypes that teach about concepts including bias in data in machine learning, AI decision-making processes, and how AI represents knowledge. Female-identifying and Title 1 youth will be recruited as participants during the exhibit design iterations and testing. 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

Researchers will explore two key research questions: 1) How can the design of interactive museum exhibits encourage interest development in and learning about AI among learners without a Computer Science background by using embodiment and creative making? and 2) How do embodied interaction and creative making mediate learning about AI in informal learning environments? The project will take a design-based research approach, iteratively building on existing exhibit prototypes and testing them in-situ with learners. Data sources and modes of analysis will include retrospective surveys to assess interest, content knowledge gain, creativity, learning talk analysis of audio recordings, and coding of embodied movements in video recordings. Learning talk analysis will identify instances of joint sensemaking during naturalistic interactions with our exhibit to reveal connections between sensemaking talk; learners' behaviors and embodied actions during real-time collaborative knowledge building; and outcomes in knowledge, interest, and creativity measures as elicited in retrospective surveys. The final set of exhibits will be rigorously evaluated with over 500 museum visitors. The key contributions of this work will include a set of rigorously tested exhibits, publicly available exhibit designs, a set of design guidelines for developing AI literacy museum exhibits, and an improved understanding of the relationship between AI-related learning and interest development, embodiment, and creativity.
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TEAM MEMBERS: Brian Magerko Duri Long Jessica Roberts
resource project Media and Technology
The L.C. Bates Museum will provide 1,700 rural fourth grade students and their families museum-based STEAM (Science, Technology, Engineering, Art, and Mathematics) educational programming including integrated naturalist, astronomy, and art activities that explore Maine's environment and its solar and lunar interactions. The project will include a series of eight classroom programs, family field trips, TV programs, family and classroom self-guided educational materials, and exhibitions of project activities including student work. By bringing programs to schools and offering family activities and field trips, the museum will be able to engage an underserved, mostly low-income population that would otherwise not be able to visit the museum. The museum's programming will address teachers' needs for museum objects and interactive explorations that enhance student learning and new Common Core science curriculum objectives, while offering students engaging learning experiences and the opportunity to develop 21st century leadership skills.
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TEAM MEMBERS: Deborah Staber