Wireless radio communications, such as Wi-Fi, transmit public and private data from one device to another, including cell phones, computers, medical equipment, satellites, space rockets, and air traffic control. Despite their critical role and prevalence, many people are unfamiliar with radio waves, how they are generated and interact with their surroundings, and why they are the basis of modern communication and navigation. This topic is not only increasingly relevant to the technological lives of today’s youth and public, it is critical to the National Science Foundation’s Industries of the Future activities, particularly in advancing wireless education and workforce development. In this project, STEM professionals from academia, industry and informal education will join forces to design, evaluate, and launch digital apps, a craft-based toolkit, activity guides, and mobile online professional learning, all of which will be easily accessed and flexibly adapted by informal educators to engage youth and the public about radio frequency communications. Experiences will include embodied activities, such as physically linking arms to create and explore longitudinal and transverse waves; mobile experiences, such as augmented reality explorations of Wi-Fi signals or collaborative signal jamming simulations; and technological exploration, such as sending and receiving encrypted messages.
BSCS Science Learning, Georgia Tech, and the Children’s Creativity Museum (CCM) with National Informal STEM Education Network (NISE Net) museum partners will create pedagogical activity designs, digital apps, and a mobile online professional learning platform. The project features a rigorous and multipronged research and development approach that builds on prior learning sciences studies to advance a learning design framework for nimble, mobile informal education, while incorporating the best aspects of hands-on learning. This project is testing two related hypotheses: 1) a mobile strategy can be effective for supporting just-in-time informal education of a highly technical, scientific topic, and 2) a mobile suite of resources, including professional learning, can be used to teach informal educators, youth, and the general public about radio frequency communications. Data sources include pre- and post- surveys, interviews, and focus groups with a wide array of educators and learners.
A front-end study will identify gaps in public understanding and perceptions specific to radio frequency communications, and serve as a baseline for components of the summative research. Iterative formative evaluation will incorporate participatory co-design processes with youth and informal educators. These processes will support materials that are age-appropriate and culturally responsive to not only youth, with an emphasis on Latinx youth, but also informal educators and the broader public. Summative evaluation will examine the impact of the mobile suite of resources on informal educators’ learning, facilitation confidence and intentions to continue to incorporate the project resources into their practice. The preparation of educators in supporting public understanding of highly technological STEM topics can be an effective way for supporting just-in-time public engagement and interests in related careers. Data from youth and museum visitors will examine changes to interest, science self-efficacy, content knowledge, and STEM-related career interest. If successful, this design approach may influence how mobile resources are designed and organized effectively to impact future informal education on similarly important technology-rich topics. All materials will be released under Creative Commons licenses allowing for widespread sharing and remixing; research and design findings will be published in academic, industry, and practitioner journals.
This project is co-funded by two NSF programs: The Advancing Informal STEM Learning 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. The Innovative Technology Experiences for Students and Teachers (ITEST) program, which supports projects that build understandings of practices, program elements, contexts and processes contributing to increasing students' knowledge and interest in science, technology, engineering, and mathematics (STEM) and information and communication technology (ICT) careers.
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.
Computing fields are foundational to most STEM disciplines and the only STEM discipline to show a consistent decline in women's representation since 1990, making it an important field for STEM educators to study. The explanation for the underrepresentation of women and girls in computing is twofold: a sense that they do not fit within the stereotypes associated with computing and a lack of access to computer games and technologies beginning at an early age (Richard, 2016).
Informal coding education programs are uniquely situated to counter these hurdles because they can offer additional
This award takes an innovative approach to an ongoing, pervasive, and persistent societal issue: women are still drastically underrepresented in computing careers. This project targets middle school-aged girls because it is a time when many of them lose interest and confidence in pursuing technical education and computing careers. This project will design, develop, and deploy a one-week experience focused on middle school girls that targets this issue with a novel combination of teaching techniques and technology. The project will use wearable computing devices to support girls' social interactions as they learn computing and solve technical challenges together. The goals of the project are to raise interest, perceived competence, and involvement in the computational ability of girls. Additionally, the project aims to increase a sense of computational community for girls that makes pursuing computational skills more relevant to their identities and lives, and that helps continued participation in computing. The project will deploy a one-week experience four times per year with a socioeconomically diverse range of campers. The project will also develop a 'program in a box' kit that can be broadly used by others wishing to deliver a similar experience for girls.
The planned research will determine if a one-week experience that uses social wearable construction in the context of live-action role play can use the mediating process of computational community formation to positively impact middle school girls' engagement with and interest in computation. Computational community is defined as girls engaging together in the process of learning computation, trading resources and knowledge, and supporting growth. Research participants will include 100 6th to 9th-grade girls. At least 75% of the participants will be either low income, first-generation college-bound, or underrepresented in higher education. Students will be recruited through the longstanding partnerships with title one schools in the Salinas Valley, the Educational Partnership Center, and in the Pajaro Valley Unified School district, where 82% of the students are Hispanic/Latinx, 42% are English Learners, and 73% are eligible for free or reduced lunch. The research questions are: 1) Does the proposed experience increase girls' self-reported competence, self-efficacy, and interest in computational skills and careers? and 2) Will the proposed experience lead to activity-based evidence of learning and integration of computational skills at the group social level? The project will use a mixed-methods, design-based research approach which is an iterative design process to rapidly collect and analyze data, and regularly discuss the implications for practice with the design team. Data will be collected using observations, interviews, focus groups, surveys, and staff logs. Quantitative data will be analyzed using frequencies, means, and measures of dispersion will be applied to survey data from both time points. Pearson correlation coefficients will be used to describe the bivariate relationship between continuous factors. ANOVAs will assess whether there are significant differences in continuous measures across groups. Qualitative data will be analyzed using a constant comparison method.
This Innovations in Development award 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.
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.
Computing and computational thinking are integral to the practice of modern science, technology, engineering, and math (STEM); therefore, computational skills are essential for students' preparation to participate in computationally intensive STEM fields and the emerging workforce. In the U.S., Latinx and Spanish speaking students are underrepresented in computing and STEM fields, therefore, expanding opportunities for students to learn computing is an urgent need. The Georgia Institute of Technology and the University of Puerto Rico will collaborate on research and development that will provide Latinx and Spanish speaking students in the continental U.S. and Puerto Rico, opportunities to learn computer science and its application in solving problems in STEM fields. The project will use a creative approach to teaching computer science by engaging Latinx and Spanish speaking students in learning how to code and reprogram in a music platform, EarSketch. The culturally relevant educational practices of the curriculum, as a model for informal STEM learning, will enable students to code and reprogram music, including sounds relevant to their own cultures, community narratives, and cultural storytelling. Research results will inform education programs seeking to design culturally authentic activities for diverse populations as a means to broaden participation in integrated STEM and Computing. This Broad Implementation 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, including multiple pathways for broadening access to and engagement in STEM learning, advancing innovative research on and assessment of STEM learning in informal environments, and developing understandings of deeper learning by participants.
As part of the technical innovation of the project, the EarSketch platform will be redesigned for cultural and linguistic authenticity that will include incorporating traditional and contemporary Latin sound beats and musical samples into the software so that students can remix music and learn coding using sounds relevant to their cultures; and developing a Spanish version of the platform, with a toggle to easily switch between English and Spanish. Investigators will also develop an informal STEM curriculum using best practices from Culturally Relevant Education and Cultural Sustaining Pedagogy that provides authentic, culturally and linguistically rich opportunities for student engagement by establishing direct and constant connections to their cultures, communities and lived experiences. The curriculum design and implementation team will work collaboratively with members of Latinx diverse cultural groups to ensure semantic and content equivalency across diverse students and sites. Validating the intervention across students and sites is one of the goals of the project. The model curriculum for informal learning will be implemented as a semester long afterschool program in six schools per year in Atlanta and Puerto Rico, and as a one-week summer camp twice in the summer. The curricular materials will be broadly disseminated, and training will be provided to informal learning practitioners as part of the project. The research will explore differences in musical and computational engagement; the interconnection between music and the computational aspects of EarSketch; and the degree to which the program promotes cultural engagement among culturally and linguistically heterogenous groups of Latinx students in Atlanta, and more culturally and linguistically homogenous Latinx students in Puerto Rico. Investigators will use a mixed method design to collect data from surveys, interviews, focus groups, and computational/musical artifacts created by students. The study will employ multiple case study methodology to analyze and compare the implementation of the critical components of the program in Puerto Rico and Atlanta, and to explore differences in students' musical and computational thinking practices in the two regions. Results from the research will determine the impact of the curriculum on computer science skills and associated computational practices; and contribute to the understanding of the role of cultural engagement on educational outcomes such as sense of belonging, persistence, computational thinking, programming content knowledge and computer science identity. Results will inform education programs designing culturally authentic and engaging programming for diverse populations of Latinx youths.
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TEAM MEMBERS:
Diley HernandezJason FreemanDouglas EdwardsRafael Arce-NazarioJoseph Carroll-Miranda
As part of its overall strategy to enhance learning in informal environments, the Advancing Informal STEM Learning (AISL) program funds innovative research, approaches, and resources for use in a variety of settings.
Making, which supports interest-driven skill-development and learning, has been recognized as having the potential to engage underserved youth in STEM. Makerspaces are community spaces that allow participants to create items using tools, such as 3-D printers, computer-aided design, and digital fabrication technologies. Makerspaces and making-related programs are often inaccessible, unaffordable, or simply not available to underserved youth. Digital Harbor will partner with recreation centers, two in Pittsburgh and two in Baltimore, to research, refine and implement an equity-based approach to making that will engage underserved youth aged 12-16 in making. The project will prepare out-of-school time (OST) educators to collaboratively develop culturally sensitive curricula with underserved youth to engage them in maker-based technology and computer science experiences. The project will (1) design a professional development program that will prepare and support local educators to collaboratively design and deliver localized, maker-based, STEM curricula; (2) research the impact of these programs on both educators' and youth's self-efficacy, creativity, and attitudes towards STEM; and (3) develop and evaluate an online Localization Toolkit that will prepare educators in makerspaces across the nation in using an equity-based approach to create localized content. The project will result in four new maker sites (two in Baltimore and two in Pittsburgh directly impact 4 sites (10 educators and 240 youth). The project will result several resources that will support the development and educational programs of other community sites. The resources will include the Localization Toolkit, Case Studies, Best Practices, and Research Study. The Localization Toolkit has the potential to strengthen infrastructure and capacity building in OST maker-based programs, as well as other informal and formal education programs using similar pedagogies and design principles.
The project will use a mixed-methods approach in researching the challenges and processes involved in establishing the four maker sites in Baltimore and Pittsburgh, the approaches and effectiveness of the professional development program on OST educators, and the impacts of the project of participation on the self-efficacy, creativity, and attitudes on participating youth and educators. The research study will apply several instruments and data collection sources to develop quantitative data, including youth attendance logs, the Upper Elementary and Middle/High School Student Attitudes toward STEM survey, a retrospective technology self-efficacy survey and pre-post surveys. In addition to project document review, the researchers will collect qualitative data through educator interviews, educator focus groups, and youth focus groups. Project research and resources will reach key audiences of learning scientists and OST educators through articles in peer-reviewed and practitioner journals, public events and professional conferences. These audiences will also be reached through the project website, which will share project resources. The project will reach OST sites across the country directly through dissemination partners, including the National Recreation and Parks Association, Association of Science and Technology Centers, and statewide out-of-school networks.
This Innovations in Development 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.
Virtual Reality (VR) shows promise to broaden participation in STEM by engaging learners in authentic but otherwise inaccessible learning experiences. The immersion in authentic learner environments, along with social presence and learner agency, that is enabled by VR helps form memorable learning experiences. VR is emerging as a promising tool for children with autism. While there is wide variation in the way people with autism present, one common set of needs associated with autism that can be addressed with VR is sensory processing. This project will research and model how VR can be used to minimize barriers for learners with autism, while also incorporating complementary universal designs for learning (UDL) principles to promote broad participation in STEM learning. As part of its overall strategy to enhance learning in informal environments, the Advancing Informal STEM Learning (AISL) program funds innovative research, approaches, and resources for use in a variety of settings. This project will build on a prototype VR simulation, Mission to Europa Prime, that transports learners to a space station for exploration on Jupiter's moon Europa, a strong candidate for future discovery of extraterrestrial life and a location no human can currently experience in person. The prototype simulation will be expanded to create a full, immersive STEM-based experience that will enable learners who often encounter cognitive, social, and emotional barriers to STEM learning in public spaces, particularly learners with autism, to fully engage and benefit from this STEM-learning experience. The simulation will include a variety of STEM-learning puzzles, addressing science, mathematics, engineering, and computational thinking through authentic and interesting problem-solving tasks. The project team's learning designers and researchers will co-design puzzles and user interfaces with students at a post-secondary institute for learners with autism and other learning differences. The full VR STEM-learning simulation will be broadly disseminated to museums and other informal education programs, and distributed to other communities.
Project research is designed to advance knowledge about VR-based informal STEM learning and the affordances of VR to support learners with autism. To broaden STEM participation for all, the project brings together research at the intersection of STEM learning, cognitive and educational neuroscience, and the human-technology frontier. The simulation will be designed to provide agency for learners to adjust a STEM-learning VR experience for their unique sensory processing, attention, and social anxiety needs. The project will use a participatory design process will ensure the VR experience is designed to reduce barriers that currently exclude learners with autism and related conditions from many informal learning opportunities, broadening participation in informal STEM learning. Design research, usability, and efficacy studies will be conducted with teens and adults at the Pacific Science Center and Boston Museum of Science, which serve audiences with autism, along with the general public. Project research is grounded in prior NSF-funded research and leverages the team's expertise in STEM learning simulations, VR development, cognitive psychology, universal design, and informal science education, as well as the vital expertise of the end-user target audience, learners with autism. In addition to being shared at conferences, the research findings will be submitted for publication to peer-reviewed journals for researchers and to appropriate publications for VR developers and disseminators, museum programs, neurodiverse communities and other potentially interested parties.
This Innovations in Development 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:
Teon EdwardsJodi Asbell-ClarkeJamie LarsenIbrahim Dahlstrom-Hakki
African American and Latinx youth are often socialized towards athletic activity and sports participation, sometimes at the expense of their exploration of the range of potential career paths including those in the science, technology, engineering, and mathematics (STEM) fields. This project will immerse middle school youth in the rapidly growing world of sports data analytics and build their knowledge of statistics concepts and the data science process. The project will focus on the STEM interests and knowledge development of African American and Latinx youth, an underrepresented and underserved group in STEM. Researchers will explore the ways youths' social identities can and should serve as bridges towards future productive academic and professional identities including those associated with STEM learning and the STEM professions. The outcomes of the project will advance knowledge in promoting elements of informal learning experiences that build adolescents' motivation and persistence for productive participation in STEM courses and careers. This project is funded by the Advancing Informal STEM Learning program (AISL), which seeks to advance new approaches to and evidence-based understanding of the design and development of STEM learning opportunities for the public in informal environments, and the Innovative Technology Experiences for Students and Teachers program (ITEST), which funds projects that leverage innovative uses of technologies to prepare diverse youth for the STEM workforce, with a focus on broadening participation among underrepresented and underserved groups in STEM fields.
Over a three-year period, 250 middle school learners in the West Baltimore, Maryland and Hyattsville, Maryland areas will engage in three main learning activities: Summer Camp (three weeks), Sports Day Saturdays, and a Spring Summit. Through a partnership between the University of Maryland and Coppin State University, the project will utilize resources in multiple departments and units across both universities, and engage with youth sports leagues such as the American Athletic Union (AAU) to support participants' engagement in the data science process including collection of raw data, exploration of data, development of models, visualization, communication, and reporting of data, and data-driven decision making. Furthermore, youth participants will attend local AAU, college, and professional sporting events, and interact with members of coaching staffs to better understand the ways performance data technologies are utilized to inform recruitment and team performance. The mixed-methods research agenda for this project is guided by three main questions: (1) What elements of the project's model are most successful at supporting congruence of adolescents' academic identity, including STEM identity and social identity including athletic identity? (2) What elements support adolescents' motivation, and persistence for productive participation in current and future STEM courses? (3) To what extent did the project appear to influence participants' perceptions of their future professions? At multiple points throughout the experience, participants will complete surveys designed to document and assess statistics and data science knowledge; interest in STEM careers; academic, social and athletic identity development; and STEM course taking patterns. Researchers will also observe project activities, interview a focal group of participants, and survey participants' parents to identify elements of learning experiences that encourage and support adolescents' interest in STEM disciplines and STEM professions. The project team will develop conceptual and pedagogical frameworks that support middle school youth' engagement and interest in science, engineering, technology, and mathematics through repurposing spaces where these youths frequent. A major outcome of the project will be workforce preparation and offers a promising approach for encouraging youth to persist along STEM pathways, which may ultimately result in broadened participation in STEM workforces.
This project is funded by the National Science Foundation's (NSF's) Advancing Informal STEM Learning (AISL) program, which supports innovative research, approaches, and resources for use in a variety of learning settings.
Research that seeks to understand classroom interactions often relies on video recordings of classrooms so that researchers can document and analyze what teachers and students are doing in the learning environment. When studies are large scale, this analysis is challenging in part because it is time-consuming to review and code large quantities of video. For example, hundreds of hours of videotaped interaction between students working in an after-school program for advancing computational thinking and engineering learning for Latino/a students. This project is exploring the use of computer-assisted methods for video analysis to support manual coding by researchers. The project is adapting procedures used for computer-aided diagnosis systems for medical systems. The computer-assisted process creates summaries that can then be used by researchers to identify critical events and to describe patterns of activities in the classroom such as students talking to each other or writing during a small group project. Creating the summaries requires analyzing video for facial recognition, motion, color and object identification. The project will investigate what parts of student participation and teaching can be analyzed using computer-assisted video analysis. This project is supported by NSF's EHR Core Research (ECR) program, the STEM+C program and the AISL program. The ECR program emphasizes fundamental STEM education research that generates foundational knowledge in the field. The project is funded by the STEM+Computing program, which seeks to address emerging challenges in computational STEM areas through the applied integration of computational thinking and computing activities within disciplinary STEM teaching and learning in early childhood education through high school (preK-12). As part of its overall strategy to enhance learning in informal environments, the Advancing Informal STEM Learning (AISL) program 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.
The video analysis systems will provide video summarizations for specific activities which will allow researchers to use these results to quantify student participation and document teaching practices that support student learning. This will support the analysis of large volumes of video data that are often time-consuming to analyze. The video analysis system will identify objects in the scene and then use measures of distances between objects and other tracking methods to code different activities (e.g., typing, talking, interaction between the student and a facilitator). The two groups of research questions are as follows. (1) How can human review of digital videos benefit from computer-assisted video analysis methods? Which aspects of video summarization (e.g., detected activities) can help reduce the time it takes to review the videos? Beyond audio analytics, what types of future research in video summarization can help reduce the time that it takes to review videos? (2) How can we quantify student participation using computer-assisted video analysis methods? What aspects of student participation can be accurately measures by computer-assisted video analysis methods? The video to be used for this study is drawn from a project focused on engineering and computational thinking learning for Latino/a students in an after-school setting. Hundreds of hours of video are available to be reviewed and analyzed to design and refine the system. The resulting coding will also help document patterns of engagement in the learning environment.
This project is funded by the National Science Foundation's (NSF's) Advancing Informal STEM Learning (AISL) program, which supports innovative research, approaches, and resources for use in a variety of learning settings.
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TEAM MEMBERS:
Marios PattichisSylvia Celedon-PattichisCarlos LopezLeiva
Robots and robotics excite and challenge youths and adults. Unfortunately, the cost of purchasing robots or building useful robots is prohibitive for many low resource individuals and groups. This project will relieve this expense and provide an opportunity for resource limited individuals to experience the thrilling aspects of robotics by building a computer game that simulates robotic action. This project uses co-robotics wherein the participating player programs an avatar to assist in a symbiotic manner to achieve the goals of the game and participant. The game will provide access to the ideas and concepts such as programing, computational thinking and role assumption. The overarching goals are (1) to engage low-resource learners in STEM education through robotics in out-of-school spaces, and (2) to update the field of robotics-base STEM education to integrate the co-robotics paradigm.
This project is designed to gain knowledge on how co-robotics can be used in the informal education sector to facilitate the integration of computational science with STEM topics and to expand the educational use of co-robotics. Because the concept of co-robotics is new, a designed-based research approach will be used to build theoretical knowledge and knowledge of effective interventions for helping participants learn programing and computational thinking. Data will be collected from several sources including surveys, self-reports, in game surveys, pre and post-tests. These data collection efforts will address the following areas: Technology reliability, Resolution of cognitive tension around co-play, Accelerate discovery and initial engagement, Foster role-taking and interdependence with co-robots, Investigate social learning, and Validate measures using item response theory analysis. The DBR study questions are:
1.What design principles support the development of P3Gs that can effectively attract initial engagement in a free-choice OST space that offers large numbers of competing options? 2.What design principles support a P3G gameplay loop that enables learning of complex skills, computational thinking and co-robotics norms, and building of individual and career interest over the course of repeated engagement?
3.What design principles support P3Gs in attaining a high rate of re-engagement within low-resource OST settings? 4.What kinds of positive impact can P3Gs have on their proximal and distal environment? In addition, the project will research these questions about design: 1.What technical and game design features are needed to accommodate technological interruption? 2.What design elements or principles mitigate competition for cognitive resources between real-time play and understanding the co-robotic's behavior in relation to the code the player wrote for it? 3.What design elements are effective at getting learners in OST settings to notice and start playing the game? 4.What designs are effective at encouraging learners to engage with challenging content, particularly the transition from manual play to co-play? 5.What design elements help players develop a stake in the role the game offers? 6.What social behaviors emerge organically around a P3G prototype that is not designed to evoke specific social interactions?
This project is funded by the National Science Foundation's (NSF's) Advancing Informal STEM Learning (AISL) program, which supports innovative research, approaches, and resources for use in a variety of learning settings.
As part of its overall strategy to enhance learning in informal environments, the Advancing Informal STEM Learning (AISL) program funds innovative research, approaches and resources for use in a variety of settings. This AISL project investigates how informal programs can broaden participation by building social capital in STEM for youth from underrepresented groups. The project integrates social network analysis with research on informal learning, and draws on a framework to connect learning across a variety of sectors. It builds on evidence that sponsorship of youth interest, affinity-based mentorship, and brokering connections to other settings and opportunities can build social capital and support interest and persistence in STEM. It represents a strategic and timely investment into research that solidifies these emerging insights from research and practice, conducting focused investigation into relational supports for STEM interests that are particularly well suited to informal programs.
The project is guided by two research questions: (1) What forms of social capital are tied to persistence in and connecting across informal STEM programs for youth from underrepresented groups? (2) What program features--specifically sponsorship, mentorship, and brokering--grow these social supports for persistence in and connecting across informal STEM programs for underserved youth? These questions are addressed through a mixed methods 18-month cross-sectional study of 200 students in three informal programs in Orange County, California that offer project-based engineering and coding programs, support mentorship, and focus on groups underrepresented in STEM. The sample will include three age categories, capturing the transition to high school, persistence during high school, and transition to college and career. Teens will be interviewed three times at 6-month intervals, spanning these transitions. The goal of this research and effort is to determine if social capital plays an extra ordinary role in learning by this group.
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.
This Research in Service to Practice 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.
The project will research the educational impact of social robots in informal learning environments, with applications to how social robots can improve participation and engagement of middle-school girls in out-of-school computer science programs in under-resourced rural and urban areas. The use of robots to improve STEM outcomes has focused on having learners program robots as tools to accomplish tasks (e.g., play soccer). An alternate approach views robots as social actors that can respond intelligently to users. By designing a programmable robot with social characteristics, the project aims to create a culturally-responsive curriculum for Latina, African American, and Native American girls who have been excluded by approaches that separate technical skill and social interaction. The knowledge produced by this project related to the use and benefits of social programmable robots has the potential to impact the many after-school and weekend programs that attempt to engage learners in STEM ideas using programmable robot curricula.
The project robot, named Cozmo, will be programmed using a visual programming language and will convey emotion with facial expressions, sounds, and movements. Middle school girls will engage in programming activities, collaborative reflection, and interact with college women mentors trained to facilitate the course. The project will investigate whether the socially expressive Cozmo improves computer science outcomes such as attitudes, self-efficacy, and knowledge among the middle school female participants differently than the non-social version. The project will also investigate whether adding rapport-building dialogue to Cozmo enhances these outcomes (e.g., when a learner succeeds in getting Cozmo to move, Cozmo can celebrate, saying "I can move! You're amazing!"). These questions will be examined research conducted with participants in multi-session after-school courses facilitated by Girl Scout troops in Arizona. The project will disseminate project research and resources widely by sharing research findings in educational and learning science journals; creating a website with open source code for programming social robots; and making project curriculum and related guidelines available to Girl Scouts and other educational programs.
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.
Women continue to be underrepresented in computer science professions. In 2015, while 57% of professional occupations in the U.S. were held by women, only 25% of computing occupations were held by women. Furthermore, the share of computer science degrees going to women is smaller than any STEM field, even though technology careers are the most promising in terms of salaries and future growth. Research suggests that issues contributing to this lack of computer science participation begin early and involve complex social and environmental factors, including girls' perception that they do not belong in computer science classes or careers. Computer science instruction often alienates girls with irrelevant curriculum; non-collaborative pedagogies; a lack of opportunities to take risks or make mistakes; and a heavy reliance on lecture instead of hands-on, project-based learning. Computer science experiences that employ research-based gender equitable best practices, particularly role modeling, can help diminish the gender gap in participation. In response to this challenge, Twin Cities PBS (TPT), the National Girls Collaborative (NGC) and Code.org will lead Code: SciGirls! Media for Engaging Girls in Computing Pathways, a three-year project designed to engage 8-13 year-old girls in coding through transmedia programming which inspires and prepares them for future computer science studies and career paths. The project includes five new PBS SciGirls episodes featuring girls and female coding professionals using coding to solve real problems; a new interactive PBSKids.org game that allows children to develop coding skills; nationwide outreach programming, including professional development for informal educators and female coding professionals to facilitate activities for girls and families in diverse STEM learning environments; a research study that will advance understanding of how the transmedia components build girls' motivation to pursue additional coding experiences; and a third-party summative evaluation.
Code: SciGirls! will foster greater awareness of and engagement in computer science studies and career paths for girls. The PBS SciGirls episodes will feature girls and female computer science professionals using coding to solve real-world challenges. The project's transmedia component will leverage the television content into the online space in which much of 21st century learning takes place. The new interactive PBSKids.org game will use a narrative framework to help children develop coding skills. Drawing on narrative transportation theory and character identification theory, TPT will commission two exploratory knowledge-building studies to investigate: To what extent and how do the narrative formats of the Code: SciGirls! online media affect girls' interest, beliefs, and behavioral intent towards coding and code-related careers? The studies aim to advance understanding of how media builds girls' motivation to pursue computer science experiences, a skill set critical to building tomorrow's workforce. The project team will also raise educators' awareness about the importance of gender equitable computer science instruction, and empower them with best practices to welcome, prepare and retain girls in coding. The Code: SciGirls! Activity Guide will provide educators with a relevant resource for engaging aspiring computer scientists. The new media and guide will also reside on PBSLearningMedia.org, reaching 1.2 million teachers, and will be shared with thousands of educators across the SciGirls CONNECT and National Girls Collaborative networks. The new episodes are anticipated to reach 92% of U.S. TV households via PBS, and the game at PBSKids.org will introduce millions of children to coding. The summative evaluation will examine the reach and impact of the episodes, game and new activities. PIs will share research findings and project resources at national conferences and will submit to relevant publications. 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.