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.
On October 1, 2015, Oregon Public Broadcasting (OPB) was awarded a 3‑year grant of 2.7 million dollars from the National Science Foundation (NSF) to fund the project Hacking Your Mind (award number 1515520). A major public and social media project, Hacking Your Mind (HYM) planned to engage Americans with the new discoveries being made in the social, behavioral, and economic sciences and the remarkable insights these discoveries offer into how individuals make numerous daily decisions and judgments, as well as the broader impact of this highly personal phenomenon on nearly every aspect of
Peer production projects involve people in many tasks, from editing articles to analyzing datasets. To facilitate mastery of these practices, projects offer a number of learning resources, ranging from project-defined FAQsto individually-oriented search tools and communal discussion boards. However, it is not clear which project resources best support participant learning, overall and at different stages of engagement. We draw on Sørensen's framework of forms of presence to distinguish three types of engagement with learning resources: authoritative, agent-centered and communal. We assigned
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TEAM MEMBERS:
Corey Brian JacksonCarsten OsterlundKevin CrowstonMahboobeh HarandiLaura Trouille
This NOVA multiplatform media initiative consisted of a 2-hour nationally broadcast PBS documentary, Polar Extremes; a 10-part original digital series, Antarctic Extremes; an interactive game, Polar Lab; accompanying polar-themed digital shorts, radio stories, text reporting, and social media content; a collection of educational resources on PBS LearningMedia; and community screening events and virtual field trips for science classrooms. Across multiple media platforms the project’s video content had nearly 13 million views.
The research explored the potential for informal STEM learning
We found that the learners seeking out resources to teach themselves to code were generally college educated women who were motived either by the desire to be able to read and understand the code written by hired developers or the desire to become developers themselves. The importance of a female-focused learning setting was mixed; while most women acknowledged a more comfortable atmosphere created by such a setting, very few cited that as a primary reason for joining the group.
All learner participants in this study persisted through the ten weeks of the Women’s Coaching and Learning
In 2016, ETR received a National Science Foundation grant to study, under Principal Investigator Louise Ann (“Lou Ann”) Lyon, PhD, a newly formed, real-world organization dedicated to helping women in the workforce learn to write computer code. This project formed a partnership between a research team with experience in computer science (CS) education and learning sciences research and a newly fashioned practitioner team focused on building a grassroots, informal, volunteer group created to help women help themselves and others learn to write computer code. This research-practitioner
Participants in this study reported a variety of resources used in the past to learn to code in Apex, including online tutorials, one-day classes sponsored by Salesforce, and meet-up groups focused on learning. They reported various difficulties in learning through these resources, including what they viewed as the gendered nature of classes where the men already seemed to know how to code—which set a fast pace for the class, difficulty in knowing “where to start” in their learning, and a lack of time to practice learning due to work and family responsibilities. The Coaching and Learning Group
Participants in this study reported a variety of resources used in the past to learn to code in Apex, including online tutorials, one-day classes sponsored by Salesforce, and meet-up groups focused on learning. They reported various difficulties in learning through these resources, including what they viewed as the gendered nature of classes where the men already seemed to know how to code—which set a fast pace for the class, difficulty in knowing “where to start” in their learning, and a lack of time to practice learning due to work and family responsibilities. The Coaching and Learning Group
Participants in this study reported a variety of resources used in the past to learn to code in Apex, including online tutorials, one-day classes sponsored by Salesforce, and meet-up groups focused on learning. They reported various difficulties in learning through these resources, including what they viewed as the gendered nature of classes where the men already seemed to know how to code—which set a fast pace for the class, difficulty in knowing “where to start” in their learning, and a lack of time to practice learning due to work and family responsibilities. The Coaching and Learning Group
Grassroots women's learn-to-code groups are springing up in many places. This infographic a study of one such group, in which more-knowledgeable "coaches" lead novice "learners" in learning software programming on the Salesforce platform. This study found that women create such groups to have supportive, non-threatening environments that nuture their learning to build confidence before entering male-dominated software development communities.
Science television shows are an important source of informal learning and enrichment for preschool-aged children. However, one limitation of television programming is that it is largely a one-way, non-interactive medium. Research suggests that children learn best through active engagement with content, and that parents can make TV watching more interactive by co-viewing and talking with their children. However, many parents and other adults may lack the time or experience and comfort with science language and content to provide critcial just-in-time support for their children. This study seeks to take advantage of recent advances in artificial intelligence that now allow children to enjoyably interact with automated conversational agents. The research team will explore whether such conversational agents, embedded as an on-screen character in a science video, can meaningfully interact with children about the science content of the show by simulating the benefits of co-viewing with an adult. If successful, the project could lay the foundation for a new genre of science shows, helping transform video watching into more interactive and engaging learning experiences. 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 project will develop interactive videos incorporating a conversational agent in three 11-minute episodes of a future children's animated television program. The videos will enable children to speak with the main character of the show as the character solves everyday science mysteries, thus priming children to engage in observation, prediction, pattern finding, and problem solving through scaffolded conversation. This study will be carried out in two iterative cycles with the goal of developing and testing the embedded conversational function for each episode. In each cycle, the project team, which includes experts in children's TV production, as well as educational and HCI researchers will develop the storyboard and conversation prompts and follow-ups, create animated videos based on the revised script, and create a mobile application of the interactive video integrated with the conversational agent. Field testing with 10 children will be conducted to iteratively improve the embedded conversational function. In the pilot testing stage, a controlled study will be conducted with 30 children in each group (N=120): 1) watching the episode with the embedded conversational function; 2) watching the episode with a human partner carrying out the dialogue in the script rather than the virtual character; 3) watching the episode with pseudo-interaction, in which the animated character asks questions but does not attempt to understand or personally respond to children's answers; and 4) watching the episode with no dialogue. Data collected from the experiments will be used to examine whether and in what ways use of a conversational agent affects children's engagement, attention, communication strategies, perceptions, and science learning, and whether these effects vary by children's age, gender, socioeconomic status, language background, and oral language proficiency in English. The project will provide a comprehensive evaluation of the feasibility and potential of incorporating conversational agents into screen media to foster young children's STEM learning and engagement.
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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TEAM MEMBERS:
Mark WarschauerDaniel WhitesonSara DeWittAndres BustamanteAbby Jenkins