Data science is ever-present in modern life. The need to learn with and about data science is becoming increasingly important in a world where the quantity of data is constantly growing, where one’s own data are often being harvested and marketed, where data science career opportunities are rapidly increasing, and where understanding statistics, data sources, and data representation is integral to understanding STEM and the world around us. Museums have the opportunity to play a critical role in introducing the public to data science concepts in ways that center personal relevance, social connections and collaborative learning. However, data science and statistics are difficult concepts to distill and provide meaningful engagement with during the brief learning experiences typical to science museums. This Pilot and Feasibility study brings together data scientists, data science educators, and museum exhibit designers to consider these questions:
What are the important data science concepts for the public to explore and understand in museum exhibits?
How can museum exhibits be designed to support visitors with diverse backgrounds and experiences to engage with these data science concepts?
What principles can shape these designs to promote broadening participation in data science specifically and STEM more broadly?
This Pilot and Feasibility project combines multidisciplinary expert convening, feasibility testing, and early exploratory prototyping around the focal topic of data science exhibits. Project partners, TERC, the Museum of Science, Boston, and The Tech Interactive in San Jose will engage in an iterative process to develop a theoretical grounding and practical guidance for museum practitioners. The project will include two convenings, bringing together teams of experts from the fields of data science, data science education and museum exhibit design. Prior to the first convening, an initial literature summary and a survey of convening participants will be conducted, culminating in a preliminary list of big ideas about data science. Periodically, participants will have the opportunity to rank, annotate and expand this list, as a form of ongoing data collection. During the convenings, participants will explore the preliminary list, share related work from the three disciplines, engage with related data science activities in small groups, and work together to build consensus around promising data science topics and approaches for exhibits. Participant evaluation will allow for iterative improvement of the convenings and the capture of missed points or overlooked topics. After each convening, museum partners will create prototypes that respond to the convening conversations. Prototypes will be pilot tested (evaluated) with an intentionally recruited group of families that includes both frequent visitors and those who are less likely to visit the museum; diversity in terms of race, languages and dis/ability will be reflected in selection. Pilot data collection will consist of structured observations and interviews. Results from the first round of prototyping will be shared with convening participants as a way to modify the list of big ideas and to further interrogate the feasibility of communicating these ideas in an exhibit format. Results from the convenings and from both rounds of prototyping will be combined in a guiding document that will be shared on all three partner websites, and more broadly with the informal STEM learning field. The team will also host a workshop for practitioners interested in designing data science exhibits, and present at a conference focused on museum exhibits and their design.
Chemistry is an important and widely relevant field of science. However, when compared with other STEM content areas, chemistry is under-represented in U.S. science museums and other informal educational environments. This project will build, and build knowledge about, innovative approaches to delivering informal science learning activities in chemistry. The project will not only increase public interest and understanding of chemistry but also increase public perception of chemistry's relevance and increase the public's self-efficacy with respect to chemistry. This project outcomes will include a guide for practitioners along with activity materials that will be packaged into a kit, distributed, and replicated for use by informal science educators, chemists, and chemistry students at 250 sites across the U.S. The project team will reach out to organizations that serve diverse audiences and diverse geographic locations, including organizations in rural and inner-city areas. The kits will provide guidance on engaging girls, people with various abilities, Spanish speakers, and other diverse audiences, and include materials in Spanish. Written guides, training videos, and training slides will be included to support training in science communication in general, as well as chemistry in particular. This project is supported by the Advancing Informal STEM Learning (AISL) program funds research and innovative resources for use in a variety of settings, as a part of its overall strategy to enhance learning in informal environments.
This project will take an innovative approach to develop informal educational activities and materials about chemistry. Rather than starting with content goals, the project will start with a theoretical framework drawn from research about affecting attitudes about science related to interest, relevance, and self-efficacy. A design-based research approach (DBR) will be used to apply that framework to the development of hands-on educational activities about chemistry, while also testing and modifying the framework itself. (DBR blends empirical educational research with the theory-driven design of learning environments.) Existing or new educational activities that appear to embody key characteristics defined in the framework will be tested with public audiences for their impact on visitors. Researchers and educators will determine how different characteristics of the educational activities defined in the framework affect the outcomes. The activities will be modified and tested iteratively until the investigators achieve close alignment between framework and impacts.. The project team will continue the design-based research approach both to examine groups of activities in which synergies can have impacts beyond single interactions as well as to examine varied ways of training facilitators who can also significantly affect outcomes. In this way, the project will generate knowledge about how kits of hands-on informal learning activities can stimulate attitudes of interest, relevance, and self-efficacy with respect to the neglected field of chemistry. The project teams will broadly disseminate project outcomes within the educational research, science and informal Science, Technology, Engineering and Mathematics (STEM) education communities. While this project will focus on chemistry, the strategies it will develop and test through a design-based research process will provide valuable insight into effective approaches for informal STEM education more broadly.
This special report describes NSF INCLUDES (Inclusion across the Nation of Communities of Learners of Underrepresented Discoverers in Engineering and Science), a comprehensive initiative to enhance U.S. leadership in science and engineering discovery and innovation by proactively seeking and effectively developing science, technology, engineering and mathematics (STEM) talent from all sectors and groups in our society. By facilitating partnerships, communication and cooperation, NSF aims to build on and scale up what works in broadening participation programs to reach underserved populations
These slides were presented at the NSF Advancing Informal STEM Learning (AISL) Principal Investigators' Meeting held in Bethesda, MD from February 29-March 2, 2016. The presentation describes NSF INCLUDES, a funding opportunity that leverages collective impact strategies to broaden participation in STEM.