Growth in the US Latinx population has outpaced the Latinx growth in science, technology, engineering, and math (STEM) degrees and occupation, further widening the ethnic gap in STEM. Mathematics has often identified as a bottleneck keeping many youth, especially minoritized youth, from pursuing STEM studies. Unequal opportunities to develop powerful math assets explain differences in math skills and understanding often experienced by minoritized youth. Implementing culturally responsive practices (CRP) in afterschool programs has the potential to promote math skills and motivation for youth from minoritized groups. However, extensive research is needed to understand which culturally responsive informal pedagogical practices (CIPPs) are most impactful and why. This project aims to identify and document such practices, shed light on the challenges faced by afterschool staff in implementing them, and develop training resources for afterschool staff to address these challenges. 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.
The fundamental research questions addressed by the project focus on (1) which CIPPs matter most in the context of a STEM university-community partnership engaging Latinx youth, and (2) in what context(s) and under what conditions do these CIPPs relate to positive outcomes for both youth participants and college mentor/facilitator. A third aim is to build capacity of afterschool staff for implementing CIPPs in informal STEM afterschool programs. The first two aims are addressed through a mixed-methods research study which includes quantitative surveys and qualitative in-depth interviews with five cohorts of adolescent participants, parents, and undergraduate mentors. Each year, surveys will be collected from adolescents and mentors at four time points during the year; the in-depth interviews will be collected from adolescents, parents, and mentors in the spring. In total, 840 adolescents and 210 mentors will be surveyed; and 87 adolescents, 87 parents, and 87 mentors will be interviewed. The third aim will be addressed by leveraging the research findings and the collective knowledge developed by practitioners and researchers to create a public archive containing documentation of CIPPs for informal STEM afterschool programs and training modules for afterschool staff. The team will disseminate these resources extensively with informal afterschool practitioners in California and beyond. Ultimately, this project will lead to improved outcomes for minoritized youth in informal STEM afterschool programs across the nation, and increased representation of minoritized youth in STEM pursuits.
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TEAM MEMBERS:
Alessandra PantanoSandra SimpkinsCynthia Sanchez Tapia
resourceprojectProfessional Development, Conferences, and Networks
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.