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?
Overlaying Computer Science (CS) courses on top of inequitable schooling systems will not move us toward “CS for All.” This paper prioritizes the perspectives of minoritized students enrolled in high school CS classrooms across a large, urban school district in the Western United States, to help inform how CS can truly be for all.
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TEAM MEMBERS:
Jean RyooTiera TanksleyCynthia EstradaJane Margolis
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.
Aligning for Impact: Computer Science Pathways Across Contexts [CS-PAC] is an NSF INCLUDES Design and Development Launch Pilot. It broadens participation of students who are underrepresented in computer science by using the convening and policy-making power of the Georgia State Department of Education to coalesce school district leaders to implement K-12 computer science education. The project provides a national model for how to work toward systemic change. With the State Department of Education's coordination, several school districts will collaboratively seek improvements in their own student participation rates. The coordination of data reporting and analysis, resources, communications, and policy promote more equitable participation in computer science education. Research emerging from this project informs other states about how to collaboratively shape computer science education policy and policy implementation.
Using a Collective Impact approach to systemic change, the project creates sustainable institutional change at the community, state, and national levels. Qualitative and quantitative data provide descriptions about how to utilize alignment strategies within Collective Impact in three different contexts: rural, suburban, and urban. Outcomes utilize a regression discontinuity analysis to justify successful implementation as well as qualitative analysis of implementation efforts that were deemed most effective by all stakeholders. The project outputs directly affect over 88,000 students across five districts and indirectly affect over 1.7 million in Georgia alone. The culminating project goal is the development of a coherent framework for aligning K-12 computer science education pathways.
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.
The "Mentored Youth Building Employable Skills in Technology (MyBEST)" project, a collaboration of the Youth Science Center (YSC) and Learning Technology Center (LTC) at the Science Museum of Minnesota, is a three-year, youth-based proposal that seeks to engage 200 inner-city youngsters in learning experiences involving information and design technologies. The goal of the project is to develop participants' IT fluency coupled with work- and academic-related skills. The program will serve students in grades 7 through 12 with special emphasis on three underrepresented groups: girls, youngsters of color, and the economically disadvantaged. Project participants will receive 130 contact hours and 70% will receive at least 160 hours. Each project year, including summers, students participate in three seasons consisting of five two-week cycles. Project activities will center on an annual technology theme: design, engineering and invention; social and environmental systems; and networks and communication. The activities that constitute project seasons include guest presenter workshops; open labs facilitated by guest presenters, mentors and adult staff; presentations of student projects; career workshops and field trips. The project cycles feature programming (e.g., Logo computer language; Cricketalk), engineering and multi-media production (e.g., digital video; non-linear editing software). Each cycle will interface with an existing museum-related program (e.g., the NSF-funded traveling Cyborg exhibit). Mentors will work alongside participants in all technology-based activities. These mentors will be recruited from university, business, community partners and participant families. Leadership development is addressed through teamwork and in the form of internships and externships. Participants obtain work experience related to technology in the internship and externship component. The "MyBEST" project will serve as a prototype for the Museum to test the introduction of technology as central to the design and learning outcomes of its youth-based programs. An advisory board reflecting expertise in youth development, technology and informal science education will guide the program's development and plans for sustainability. Core elements of the "MyBEST" program will be integrated into the Museum's youth-based projects sponsored by the YSC and LTC departments. The Museum has a strong record of integrating prototype initiatives into long-standing programs.
The Computer Clubhouse aims to help inner-city youth gain that type of technological fluency. The Computer Clubhouse is designed to provide inner-city youth with access to new technologies. But access alone is not enough. The Clubhouse is based not only on new technology, but on new ideas about learning and community. It represents a new type of learning community—where young people and adult mentors work together on projects, using new technologies to explore and experiment in new ways.
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TEAM MEMBERS:
Mitchel ResnickNatalie RuskStina Cooke
The paper describes how middle school students appropriated and transformed a particular learning experience in an afterschool literacy program in Philadelphia. The learning experience was designed to ensure that urban African-American, middle school girls had access to technology and learned how to use it to create a web page that showcased future career aspirations. The program’s director enlisted the help of male, Caucasian high school students from the suburbs of Philadelphia to facilitate the technology learning experience for the middle school youth (both girls and boys were in the
In 2008, the WGBH Educational Foundation, along with the Association of Computing Machinery, was awarded a grant from the National Science Foundation, Directorate for Computer and Information Science and Engineering, under the Broadening Participation in Computing Program (NSF 0753686). The purpose of the grant was to develop a major new initiative to reshape the image of computing among college-bound high school students. Based on its market research results, WGBH developed a website and other resources that were intended for use by teachers, parents and students. Concord Evaluation Group