Structural inequities contribute to the disproportionate incarceration of Black and African American women, as well as women from the working class. This project will work toward redressing these inequities through developing and researching an ecosystem designed to support formerly incarcerated women's transition into careers that require technology-based skills or computational thinking.
This essay centers on the voices of leading scholars in science and STEM education on how equity can and should be centered in reviewing proposals for granting organizations.
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.
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 MagerkoDuri LongJessica Roberts
In 2019, the Advancing Informal STEM Learning program at the National Science Foundation funded the Advancing Ocean Science Literacy through Immersive Virtual Reality project, a pilot/feasibility and collaborative research project between The Hydrous and the Virtual Human Interaction Lab (VHIL) at Stanford University designed to investigate how immersive virtual reality using head mounted displays can enhance ocean literacy and generate empathy towards environmental issues, particularly among high school girls from different socio-economic backgrounds. The Hydrous was responsible for designing
Making as a term has gained attention in the educational field. It signals many different meanings to many different groups, yet is not clearly defined. This project’s researchers refer to making as a term that bears social and cultural impact but with a broader more sociocultural association than definitions that center making in STEM learning. Using the theoretical lenses of critical relationality and embodiment, our research team position curriculum as a set of locally situated activities that are culturally, linguistically, socially, and politically influenced. We argue that curriculum
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TEAM MEMBERS:
Veronica OguilveWen WenEm BowenYousra AbourehabAmanda BermudezElizabeth GaxiolaJill Castek
To advance justice, equity, diversity, and inclusion in science, we must first understand and improve the dominant-culture frameworks that impede progress and, second, we must intentionally create more equitable models. The present authors call ourselves the ICBOs and Allies Workgroup (ICBOs stands for independent community-based organizations), and we represent communities historically excluded from the sciences. Together with institutional allies and advisors, we began our research because we wanted our voices to be heard, and we hoped to bring a different perspective to doing science with
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TEAM MEMBERS:
María Cecilia Alvarez RicaldeJuan Flores ValadezCatherine CrumJohn AnnoniRick BonneyMateo Luna CastelliMarilú López FrettsBrigid LuceyKaren PurcellJ. Marcelo BontaPatricia CampbellMakeda CheatomBerenice RodriguezYao Augustine FoliJosé GonzálezJosé Miguel Hernández HurtadoSister Sharon HoraceKaren KitchenPepe Marcos-IgaTanya SchuhPhyllis Edwards TurnerBobby WilsonFanny Villarreal
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 poster was presented at the 2021 NSF AISL Awardee Meeting.
Free-choice learning occurs when individuals make choices about what, where, how, and who they participate with in their self-motivated learning activities. This project explores how different people, living in the same geographic region, make plants and gardening a part of their lives. We explore how adult community members choose to participate in their plant and gardening interests, including: the topics and activities that interest them, with whom they participate, where, and which resources they access. This work will
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TEAM MEMBERS:
Elysa CorinJudy KokeDavid MeierAllison HuEric Jones