This project is expanding an effective mobile making program to achieve sustainable, widespread impact among underserved youth. Making is a design-based, participant-driven endeavor that is based on a learning by doing pedagogy. For nearly a decade, California State University San Marcos has operated out-of-school making programs for bringing both equipment and university student facilitators to the sites in under-served communities. In collaboration with four other CSU campuses, this project will expand along four dimensions: (a) adding community sites in addition to school sites (b) adding rural contexts in addition to urban/suburban, (c) adding hybrid and online options in addition to in-person), and (d) including future teachers as facilitators in addition to STEM undergraduates. The program uses design thinking as a framework to engage participants in addressing real-world problems that are personally and socially meaningful. Participants will use low- and high-tech tools, such as circuity, coding, and robotics to engage in activities that respond to design challenges. A diverse group of university students will lead weekly, 90-minute activities and serve as near-peer mentors, providing a connection to the university for the youth participants, many of whom will be first-generation college students. The project will significantly expand the Mobile Making program from 12 sites in North San Diego County to 48 sites across California, with nearly 2,000 university facilitators providing 12 hours of programming each year to over 10,000 underserved youth (grades 4th through 8th) during the five-year timeline.
The project research will examine whether the additional sites and program variations result in positive youth and university student outcomes. For youth in grades 4 through 8, the project will evaluate impacts including sustained interest in making and STEM, increased self-efficacy in making and STEM, and a greater sense that making and STEM are relevant to their lives. For university student facilitators, the project will investigate impacts including broadened technical skills, increased leadership and 21st century skills, and increased lifelong interest in STEM outreach/informal science education. Multiple sources of data will be used to research the expanded Mobile Making program's impact on youth and undergraduate participants, compare implementation sites, and understand the program's efficacy when across different communities with diverse learner populations. A mixed methods approach that leverages extant data (attendance numbers, student artifacts), surveys, focus groups, making session feedback forms, observations, and field notes will together be used to assess youth and university student participant outcomes. The project will disaggregate data based on gender, race/ethnicity, grade level, and site to understand the Mobile Making program's impact on youth participants at multiple levels across contexts. The project will further compare findings from different types of implementation sites (e.g., school vs. library), learner groups, (e.g., middle vs. upper elementary students), and facilitator groups (e.g., STEM majors vs. future teachers). This will enable the project to conduct cross-case comparisons between CSU campuses. Project research will also compare findings from urban and rural school sites as well as based on the modality of teaching and learning (e.g., in-person vs. online). The mobile making program activities, project research, and a toolkit for implementing a Mobile maker program will be widely disseminated to researchers, educators, and out-of-school programs.
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 project will teach foundational computational thinking (CT) concepts to preschoolers by creating a series of mobile apps to guide families through sequenced sets of videos and hands-on activities. To support families at home it would also develop a new library model to build librarians' computational thinking content knowledge and self-efficacy so they can support parents' efforts with their children. Computational thinking is a an increasingly critical skill for learning and success in the workforce. It includes the ability to identify problems, brainstorm and generate solutions and processes that can be communicated and followed by computers or humans. There are few projects that introduce computational thinking to young children. Very little research has been done on the ways that parents can facilitate children's engagement in CT skills. And developing a model that trains and supports librarians to become virtual coaches of parents as they engage with their children in CT, will leverage and build the expertise of librarians. The project's target audience includes parents and children living in rural areas where access to CT learning may be very limited. Project partners include the EDC, a major research organization, the American Library Association, and BUILD, a national association that promotes collaborations across library, kindergarten readiness, and public media programming.
The formative research study asks: 1) What supports do parents of preschoolers in rural communities need in order to effectively engage in CT with their children at home? and 2) How can libraries in rural communities support joint CT exploration in family homes? The summative research study asks: 3) how can an intervention that combines media resources, mobile technology, and library supports foster sustained joint parent/child engagement and positive attitudes around CT? Researchers will develop a parent survey, adapting several scales from previously developed instruments that ask parents to report on children's use of CT-related vocabulary and CT-related attitudes and dispositions. Survey scales will assess librarians' attitudes towards CT, as well as their self-efficacy in supporting parents in CT in a virtual environment. During the formative study, EDC will pilot-test survey scales with 30 parents and 6 librarians in rural MS and KY. Analyses will be primarily qualitative and will be geared toward producing rapid feedback for the development team. Quantitative analyses will be used on parent app use, using both time query and back-end data, exploring factors associated with time spent using apps. The summative study will evaluate how the new media resources and mobile technology, in combination with the library virtual implementation model, support families' joint engagement with CT, and positive attitudes around CT. The researchers will recruit 125 low-income families with 4- to 5-year-old children in rural MS and KY to participate in the study. They will randomly assign families within each library to the full intervention condition, including media resources, mobile technology, and library support delivered through the virtual implementation model, or the media and mobile-technology-only condition. This design will allow researchers to understand more fully the additional benefit of library support for rural families' sustained engagement, and conversely, see the comparative impact of a media- and mobile-technology only intervention, given that some families might not be able to access virtual or physical library support.
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. This project is co-funded by 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 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.
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.
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.
This is an Early-concept Grant for Exploratory Research supporting research in Smart and Connected Communities. The research supported by the award is collaborative with research at the University of Colorado. The researchers are studying the use of technologies to enable communities to connect youth and youth organizations to effectively support diverse learning pathways for all students. These communities, the youth, the youth organizations, formal and informal education organizations, and civic organizations form a learning ecology. The DePaul University researchers will design and implement a smart community infrastructure in the City of Chicago to track real-time student participation in community STEM activities and to develop mobile applications for both students and adults. The smart community infrastructure will bring together information from a variety of sources that affect students' participation in community activities. These include geographic information (e.g., where the student lives, where the activities take place, the student transportation options, the school the student attends), student related information (e.g., the education and experience background of the student, the economic status of the student, students' schedules), and activity information (e.g., location of activity, requirements for participation). The University of Colorado researchers will take the lead on analyzing these data in terms of a community learning ecologies framework and will explore computational approaches (i.e., recommender systems, visualizations of learning opportunities) to improve youth exploration and uptake of interests and programs. These smart technologies are then used to reduce the friction in the learning connection infrastructure (called L3 for informal, formal, and virtual learning) to enable the student to access opportunities for participation in STEM activities that are most feasible and most appropriate for the student. Such a flexible computational approach is needed to support the necessary diversity of potential recommendations: new interests for youth to explore; specific programs based on interests, friends' activities, or geographic accessibility; or programs needed to "level-up" (develop deeper skills) and complete skills to enhance youths' learning portfolios. Although this information was always available, it was never integrated so it could be used to serve the community of both learners and the providers and to provide measurable student learning and participation outcomes. The learning ecologies theoretical framework and supporting computational methods are a contribution to the state of the art in studying afterschool learning opportunities. While the concept of learning ecologies is not new, to date, no one has offered such a systematic and theoretically-grounded portfolio of measures for characterizing the health and resilience of STEM learning ecologies at multiple scales. The theoretical frameworks and concepts draw together multiple research and application domains: computer science, sociology of education, complexity science, and urban planning. The L3 Connects infrastructure itself represents an unprecedented opportunities for conducting "living lab" experiments to improve stakeholder experience of linking providers to a single network and linking youth to more expanded and varied opportunities. The University of Colorado team will employ three methods: mapping, modeling, and linking youth to STEM learning opportunities in school and out of school settings in a large urban city (Chicago). The recommender system will be embedded into youth and parent facing mobile apps, enabling the team to characterize the degree to which content-based, collaborative filtering, or constraint based recommendations influence youth actions. The project will result in two measurable outcomes of importance to key L3 stakeholder groups: a 10% increase in the number of providers (programs that are part of the infrastructure) in target neighborhoods and a 20% increase in the number of youth participating in programs.
This is an Early-concept Grant for Exploratory Research supporting research in Smart and Connected Communities. The research supported by the award is collaborative with research at DePaul University. The researchers are studying the use of technologies to enable communities to connect youth and youth organizations to effectively support diverse learning pathways for all students. These communities, the youth, the youth organizations, formal and informal education organizations, and civic organizations form a learning ecology. The DePaul University researchers will design and implement a smart community infrastructure in the City of Chicago to track real-time student participation in community STEM activities and to develop mobile applications for both students and adults. The smart community infrastructure will bring together information from a variety of sources that affect students' participation in community activities. These include geographic information (e.g., where the student lives, where the activities take place, the student transportation options, the school the student attends), student related information (e.g., the education and experience background of the student, the economic status of the student, students' schedules), and activity information (e.g., location of activity, requirements for participation). The University of Colorado researchers will take the lead on analyzing these data in terms of a community learning ecologies framework and will explore computational approaches (i.e., recommender systems, visualizations of learning opportunities) to improve youth exploration and uptake of interests and programs. These smart technologies are then used to reduce the friction in the learning connection infrastructure (called L3 for informal, formal, and virtual learning) to enable the student to access opportunities for participation in STEM activities that are most feasible and most appropriate for the student. Such a flexible computational approach is needed to support the necessary diversity of potential recommendations: new interests for youth to explore; specific programs based on interests, friends' activities, or geographic accessibility; or programs needed to "level-up" (develop deeper skills) and complete skills to enhance youths' learning portfolios. Although this information was always available, it was never integrated so it could be used to serve the community of both learners and the providers and to provide measurable student learning and participation outcomes. The learning ecologies theoretical framework and supporting computational methods are a contribution to the state of the art in studying afterschool learning opportunities. While the concept of learning ecologies is not new, to date, no one has offered such a systematic and theoretically-grounded portfolio of measures for characterizing the health and resilience of STEM learning ecologies at multiple scales. The theoretical frameworks and concepts draw together multiple research and application domains: computer science, sociology of education, complexity science, and urban planning. The L3 Connects infrastructure itself represents an unprecedented opportunities for conducting "living lab" experiments to improve stakeholder experience of linking providers to a single network and linking youth to more expanded and varied opportunities. The University of Colorado team will employ three methods: mapping, modeling, and linking youth to STEM learning opportunities in school and out of school settings in a large urban city (Chicago). The recommender system will be embedded into youth and parent facing mobile apps, enabling the team to characterize the degree to which content-based, collaborative filtering, or constraint based recommendations influence youth actions. The project will result in two measurable outcomes of importance to key L3 stakeholder groups: a 10% increase in the number of providers (programs that are part of the infrastructure) in target neighborhoods and a 20% increase in the number of youth participating in programs.
While the term 'failure' brings to mind negative associations, there is a current focus on failure as a driver of innovation and development in many professional fields. It is also emerging from prior research that for STEM professionals and educators, failure plays an important role in designing and making to increase learning, persistence and other noncognitive skills such as self-efficacy and independence. By investigating how youth and educators attend to moments of failure, how they interpret what this means, and how they respond, we will be better able to understand the dynamics of each part of the experience. The research team will be working with youth from urban, suburban and rural settings, students from Title I schools or who qualify for free/reduced-price lunches, those from racial and ethnic minority groups, as well as students who are learning English as a second language. These youth are from groups traditionally underrepresented in STEM and in making, and research indicates they are more likely to experience negative outcomes when they experience failure.
The intellectual merit of this project centers on establishing a baseline understanding of how failure in making is triggered and experienced by youth, what role educators play in the process, and what can be done to increase persistence and learning, rather than failure being an end-state. The research team will investigate these issues through the use of qualitative and quantitative research methods. In particular, the team will design and evaluate the effectiveness of interventions on increasing the abilities of youth and educators in noticing and responding to failures and increasing positive (e.g., resilience) outcomes. Research sites are selected because they will allow collection of data on youth from a wide range of backgrounds. The research team will also work to test and revise their hypothesized model of the influence of factors on persistence through failures in making. This project is a part of NSF's Maker Dear Colleague Letter (DCL) portfolio (NSF 15-086), a collaborative investment of Directorates for Computer & Information Science & Engineering (CISE), Education and Human Resources (EHR) and Engineering (ENG).
This project takes an ethnographic and design-based approach to understanding how and what people learn from participation in makerspaces and explores the features of those environments that can be leveraged to better promote learning. Makerspaces are physical locations where people (often families) get together to make things. Some participants learn substantial amounts of STEM content and practices as they design, build, and iteratively refine working devices. Others, however, simply take a trial and error approach. Research explores the affordances are of these spaces for promoting learning and how to integrate technology into these spaces so that they are transformed from being makerspaces where learning happens, but inconsistently, into environments where learning is a consistent outcome of participation. One aim is to learn how to effectively design such spaces so that participants are encouraged and helped to become intentional, reflective makers rather than simply tinkerers. Research will also advance what is known about effective studio teaching and learning and advance understanding of how to support youth to help them become competent, creative, and reflective producers with technology(s). The project builds on the Studio Thinking Framework and what is known about development of meta-representational competence. The foundations of these frameworks are in Lave and Wengers communities of practice and Rogoff's, Stevens et al.'s, and Jenkins et al.'s further work on participatory cultures for social networks that revolve around production. A sociocultural approach is taken that seeks to understand the relationships between space, participants, and technologies as participants set and work toward achieving goals. Engaging more of our young population in scientific and technological thinking and learning and broadening participation in the STEM workplace are national imperatives. One way to address these imperatives is to engage the passions of young people, helping them recognize the roles STEM content and practices play in achieving their own personal goals. Maker spaces are neighborhood spaces that are arising in many urban areas that allow and promote tinkering, designing, and construction using real materials, sometimes quite sophisticated ones. Participating in designing and successfully building working devices in such spaces can promote STEM learning, confidence and competence in one's ability to solve problems, and positive attitudes towards engineering, science, and math (among other things). The goal in this project is to learn how to design these spaces and integrate learning technologies so that learning happens more consistently (along with tinkering and making) and especially so that they are accessible and inviting to those who might not normally participate in these spaces. The work of this project is happening in an urban setting and with at-risk children, and a special effort is being made to accommodate making and learning with peers. As with Computer Clubhouses, maker spaces hold potential for their participants to identify what is interesting to them at the same time their participation gives them the opportunity to express themselves, learn STEM content, and put it to use.