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.
Millions of Latinx youth, aged 14 to 18, work formal or informal jobs to provide income for themselves or their families. In the context of these workplaces, Latinx youth demonstrate numerous skills that are essential to industrial engineering, such as minimizing workplace injuries or optimizing processes to maximize efficiency. However, their workplace ingenuity and skills are often underrecognized by educational systems. To counter this lack of recognition, the purpose of this project is to iteratively develop and research an out-of-school engineering program for working Latinx youth. This program is designed to recognize and build from youths’ workplace experiences by connecting them with industrial engineering concepts and practices, such as those used to promote worker safety. This program is also designed for youth to articulate transformational visions of industrial engineering, which expand current goals, values, and methods commonly embraced within this discipline. This year-long program will be facilitated by educators of existing out-of-school programs (e.g., Mathematics, Engineering, and Science Achievement), in partnership with undergraduate mentors from the Society for Professional Hispanic Engineers and other local organizations that serve Latinx youth (e.g., Latinos in Action). Approximately 220 youth are expected to participate in the programming. Researchers will explore whether and how youth participants develop identities in engineering, as well as how the educators and mentors understand and enact assets-based, out-of-school engineering education grounded in youths’ experiences. Researchers will also identify the individual, institutional, and systemic factors that support or inhibit sustained implementation of the program over time in different sites and contexts. This project will result in a set of empirically tested, bilingual program materials that will be disseminated widely to professional organizations dedicated to out-of-school programming and to serving Latinx youth.
This project will result in a localizable, transferable, and sustainable model for an out-of-school time program that recognizes and amplifies Latinx youths’ workplace funds of knowledge and leverages them toward youth-driven visions and applications of engineering. This program, which will connect with other people and sites in youths’ learning ecosystems, is grounded in principles of translanguaging, transformational mentorship, and educational dignity and recognition. In partnership with youth participants, researchers will use a social design experiment to explore the following research questions: What are the engineering identity trajectories of working high school youth, and how do specific moments of identity negotiation and recognition relate to broader patterns across program sessions and identity trajectories for individual participants over time? To answer these questions, a pre-, mid- and post-program Engineering Identity Scale; recordings of program implementations; interviews; and youth artifacts will be analyzed using various methods such as critical multimodal discourse analysis. After implementations of the program across multiple sites, researchers will use design-based implementation research to answer the following questions: How do educators and mentors understand and enact assets-based pedagogies designed to foster recognition across sites? What institutional and systemic features (designed or naturalistic) support or inhibit productive adaptations and implementations of the program? These questions will be answered using constant comparative analyses of data sources such as interviews with the program educators and mentors, observations of program implementations, observations of professional development sessions, and public documents. Culturally responsive, educative evaluation will be used to iteratively improve the program. The resulting research and program materials will be disseminated widely through professional organizations dedicated to Latinx youth, engineering education, and out-of-school learning.
This Innovations in Development project is funded by the Advancing Informal STEM Learning (AISL) program, which seeks to (a) advance new approaches to and evidence-based understanding of the design and development of STEM learning in informal environments; (b) provide multiple pathways for broadening access to and engagement in STEM learning experiences; (c) advance innovative research on and assessment of STEM learning in informal environments; and (d) engage the public of all ages in learning STEM in informal environments.
DATE:
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TEAM MEMBERS:
Amy Wilson-LopezAlfonso Torres-RuaMarisela Martinez-ColaColby Tofel-GrehlAlfonso Torres-Rua