Supporting more equitable participation in science, technology, engineering, and mathematics (STEM) remains a key, persistent educational challenge. This paper employs a sociological Bourdieusian lens to explore how equitable youth outcomes might be supported through informal science learning (ISL). Drawing on multimodal, ethnographic data from four case study youth aged 11–14 from two ISL programs, we identify four areas of practice that were enacted to a greater or lesser extent in the programs in support of equitable youth outcomes. We identify how the equitable potential of these practices
Despite decades of policies and programs meant to increase the representation of girls and women in science, technology, engineering, and mathematics (STEM), girls and women of color still represent a much smaller percent of the STEM workforce than they do in the US population. This lack of representation is preventing the US STEM workforce from reaching its true potential. Intersecting inequalities of gender, race, ethnicity, and class, along with stereotypes associated with who is successful in STEM (i.e., White men), lead to perceptions that they do not belong and may not succeed in STEM. Ultimately, these issues hinder girls’ STEM identity development (i.e., sense of belonging and future success), lead to a crisis of representation for women of color and have compounding impacts on the STEM workforce. Research suggests there are positive impacts of in-person STEM learning after-school and out-of-school time programs on girls’ sense of belonging. The increasing need for online learning initiated by the COVID-19 pandemic means it is vital to investigate girls’ STEM identity development within an online community. Thus, the project will refine and test approaches in online learning communities to make a valuable impact on the STEM identity development of girls of color by 1) training educators and role models on exemplary approaches for STEM identity development; 2) implementing a collaborative, girl-focused Brite Online Learning Community that brings together 400 girls ages 13-16 from a minimum of 10 sites across the United States; and 3) researching the impact of the three core approaches -- community building, authentic and competence-demonstrating hands-on activities, and interactive learning with women role models -- on participating girls’ STEM identities in online settings.
The mixed methods study is guided by guided by Carlone & Johnson’s model of STEM identity involving four constructs: competence, performance, recognition, and sense of belonging. Data collection sources for the quantitative portion of the project include pre- and post-surveys, while qualitative data sources will be collected from six case study sites and will include observations, focus group interviews with girls, artifacts created by girls and educators, educator interviews, and open-ended survey responses. This approach will enable the research team to determine how and the extent to which the Brite Online Learning Community influences STEM identity constructs, interpreting which practices lead to meaningful outcomes that can be linked to the development of STEM identity for participating girls in an online environment. The products of this work will include research-based, tested Brite Practices and a toolkit for fostering girls’ interest, identification, and long-term participation in STEM. The resulting products will increase the reach of informal STEM education programming to girls of color across the nation as online spaces can reach more girls, potentially increasing the representation of women of color in the STEM workforce.
Data is increasingly important in all aspects of people’s lives, from the day-to-day, to careers and to civic engagement. Preparing youth to use data to answer questions and solve problems empowers them to participate in society as informed citizens and opens doors to 21st century career opportunities. Ensuring equitable representation in data literacy and data science careers is critical. For many girls underrepresented in STEM, developing a "data science identity" requires personally meaningful experiences working with data. This project aims to promote middle school-aged girls’ interest and aspirations in data science through an identity-aligned, social game-based learning approach. The goals are to create a more diverse and inclusive generation of data scientists who see data as a resource and who are equipped with the skills and dispositions necessary to work with data in order to solve practical problems. The research team will run 10 social clubs and 10 data science clubs mentored by women in data science recruited through the University of Miami’s Institute for Data Science and Computing. Participants will be 250 middle school-aged girls recruited in Miami, FL, and Yolo County, CA, through local and national girls’ organizations. Youth will participate in a data science club and will learn key data science concepts and skills, including data structures, storage, exploration, analysis, and visualization. These concepts will be learned from working with their own data collected in personally meaningful ways in addition to working with data collected by others in the same social game eco-system. The project will also develop facilitator materials to allow adult volunteers to create game-based informal data science learning experiences for youth in their areas. 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 and is co-funded by the Innovative Technology Experiences for Students and Teachers (ITEST), which seeks to engage underrepresented students in technology-rich learning environments, including skills in data literacy, and increase students’ knowledge and interest in information and communication technology (ICT) careers.
Researchers will focus on two primary research questions: 1) Across gameplay and club experiences, in what ways do participants engage with data to pursue personal or social goals? 2) How do gameplay and club experiences shape girls’ perceptions of data, data science, and their fit with data and data science? The project will use design-based research methods to iteratively design the game and social club experiences. To ensure that uses of data feel personally and socially meaningful to young girls, the virtual world’s goals, narratives, and activities will be co-designed with girls from groups underrepresented in data science. The project will research engagement with game data in two informal, game-based learning scenarios: organic, self-directed, social play club, and structured, adult-facilitated data science clubs. The research will use a combination of quantitative and qualitative methods including surveys, focus groups, interviews, and gameplay and club observations. Project evaluation will determine how gameplay and club experiences impact participants' attitudes toward and interest in data-rich futures. The project holds the potential for broadening participation and promoting interest in data science by blending game-based learning with the rich social and adult mentoring through club participation. The results will be disseminated through conference presentations, scholarly publications, and social media. The game and facilitator materials will be designed for dissemination and made freely available to the public.
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TEAM MEMBERS:
Lisa HardyGary GoldbergerJennifer Kahn
This poster was presented at the 2021 NSF AISL Awardee Meeting.
Collaborative robots – cobots – are designed to work with humans, not replace them. What learning affordances are created in educational games when learners program robots to assist them in a game instead of being the game? What game designs work best?
This practitioner guide summarizes lessons learned from a three-year design-based research project focused on using elements of narrative (such as characters, settings, and problem frames) to evoke empathy and support girls' engagement in engineering design practices. The guide includes a summary of the driving concepts and key research findings from this work, as well as design principles for creating narrative-based engineering activities. Six activity case studies illustrate the design principles in action, and facilitation tips and observation tools offer practical guidance in developing
Well-designed out-of-school time experiences can provide youth with rich opportunities to learn. However, to design effective out-of-school time experiences, it is critical to have a research basis that clarifies the features of programs that support increased youth engagement that then leads to better outcomes for youth. This project explores the features of programming that integrates sports, mathematics and science concepts, and growth mindset for 4th through 8th grade aged Latinx and African American youth. To accomplish this, the investigators refine curricular resources for out-of-school time programs and develop a model for professional learning experiences for informal educators and facilitators to support their implementation of integrated sports and STEM programming. To identify critical features of the programming, the researchers explore the ways that the program activities are implemented in two different contexts as well as the impact of the programming on youth participants' mindset, understanding of science and mathematics concepts, STEM interests, and self-perceived science and mathematics abilities. Additionally, researchers will explore the ways that the sports-themed programming supports (or could better support) girls' engagement.
The project builds on the University of Arizona researchers' existing partnerships with Major League Baseball (MLB) and Boys/Girls Club programs and an existing school-based MLB program for schools to (a) expand and refine Science of Baseball activities to enhance engagement among girls and incorporate growth mindset experiences that focus on the value of effort, determination, and learning from mistakes in both athletics and STEM; (b) study the enactment and outcomes of the program with 4th-8th grade aged youth in the two distinct informal learning settings; and (c) develop and refine a model for professional learning that includes in-person and on-line components for training informal STEM learning facilitators. The work will focus on two study contexts: afterschool programs of Boys and Girls Clubs in AZ, CA, and MO and summer programs of MLB in CA and MO. Participants will include 300 youth and up to 28 informal STEM learning facilitators split across the two contexts. Design-Based Implementation Research (DBIR) will be used to a) iteratively refine the activities and professional development model, and b) study the enactment and outcomes of the program. Research questions focus on outcomes for youth participants (i.e., impact on growth mindset, STEM dispositions, and understanding of science/math concepts), and the elements of effective professional development for informal STEM educators. Outcomes of the project include empirical evidence of what works and what doesn't work in the design, implementation, and professional development for STEM learning programs that integrate sports and growth mindset principles. In addition, outcomes of the project will advance knowledge of how different out-of-school program structures with similar sports-focused STEM programming can similarly (or differentially) support youth learning.
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. 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 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.
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