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.
InformalScience.org is an online collection of resources designed to serve a broad community of professionals whose work relates to informal education in science, technology, engineering, and math (STEM). Funded by the National Science Foundation and managed by the Center for Advancement of Informal Science Education (CAISE), InformalScience hosts a variety of usercontributed resources, including a wiki of evidence-based information on the impacts of informal STEM and a database of over 7,000 reports, articles, project descriptions, and other items uploaded by CAISE and website members.
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As a part of its overall strategy to enhance learning in informal environments, the Advancing Informal STEM Learning (AISL) program funds research and innovative resources for use in a variety of settings. This media and technology project will scale up Youth Radio's proven model of STEM education through youth-driven multimedia journalism and related app development using the MIT App Inventor. A new Youth News Network (YNN) will implement a nationwide feeder system of youth reporters and educators using the previously developed and proven STEM curriculum. Previous research and evaluation has demonstrated that this model can engage underserved youth and put them in leadership positions in technological innovation. Key deliverables include the YNN STEM Desk that will produce 15-20 STEM-related stories each year; bootcamps (1-3 day workshops) training youth around the country focusing on app development and media links; and new toolkits providing resources to help with app development, data analysis and other STEM-specific skills. Project partners include MIT Media Lab, National Public Radio, Best Buy's Teen Tech Centers, National Writing Project, Computer Clubhouses, and PBS Learning Media among others.
Over the previous eight years, research and evaluation findings had been used to refine the project. These data served as the foundation for this scale-up project. The research conducted by the investigator and the Scholar-in-Residence in this scale-up uses an embedded ethnographic approach that combines field notes, recorded meetings and discussions, media artifacts, etc.--data that is transcribed and coded for indicators of STEM learning and critical computational literacy. The external summative evaluation will build on prior evidence regarding how this unique model engages youth and impacts their skills in STEM related media and technology.
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TEAM MEMBERS:
Elisabeth SoepEllin O'LearyHarold Abelson
Since its completion in 1937, the Golden Gate Bridge has become one of the world’s most recognized landmarks as both an iconic public works accomplishment and a popular tourist destination. In 2008, the National Science Foundation (NSF) awarded a $3 million grant to the Golden Gate Bridge Highway & Transportation District to leverage this status in developing informal education resources to interpret the science, engineering and history of the bridge. Through this initiative the Golden Gate Bridge would become a model for other public works venues for providing informal science education and
The Fluid Earth Viewer (FEVer), an interactive and visually appealing web application that will allow users to visualize current and past conditions of our planet's atmosphere and oceans will be built via this award. This free web application, available to anyone with an internet connection, will directly impact approximately 2,000 individuals in-person through three field tests and is expected to reach many more online.
FEVer will be an extension of an existing open-source web application, and the PIs will add polar data sets, extended options in the user interface, and the ability to view historical climate/weather data to the existing "earth" app. It will be a vehicle of modern Earth science communication, making information most often used by the scientific community accessible and engaging to broader communities. In particular, it will provide hands-on visualization of the important climatic role of the polar-regions, their connections to lower latitudes, and the changes they are undergoing. A companion website, FEVer-Ed, will provide background, educational support, and opportunities for additional learning through a gallery of historically interesting atmospheric and oceanic events. FEVer will serve as a gateway to data sets that have otherwise been inaccessible to audiences outside of the research community. While a number of large data sets are included in this proposal (regional and global operational weather models/reanalyses), the platform is scalable to include other data such as ice sheet and glacier dynamics.
This project is partially funded by the Advancing Informal STEM Learning (AISL) program, which seeks to advance new approaches to, and evidence-based understanding of, the design and development of STEM learning in informal environments. This includes providing multiple pathways for broadening access to and engagement in STEM learning experiences, advancing innovative research on and assessment of STEM learning in informal environments, and developing understandings of deeper learning by participants.
This project will capitalize on the power of story to teach foundational computational thinking (CT) concepts through the creation of animated and live-action videos, paired with joint media engagement activities, for preschool children and their parents. Exposure at a young age to CT is critical for preparing all students to engage with the technologies that have become central to nearly every occupation. But despite this recognized need, there are few, if any, resources that (1) introduce CT to young children; (2) define the scope of what should be taught; and (3) provide evidence-based research on effective strategies for bringing CT to a preschool audience. To meet these needs, WGBH and Education Development Center/Center for Children and Technology (EDC/CCT) will utilize an iterative research and design process to create animated and live-action videos paired with joint media engagement activities for parents and preschool children, titled "Monkeying Around". Animated videos will model for children how to direct their curiosity into a focused exploration of the problem-solving process. Live-action videos will feature real kids and their parents and will further illustrate how helpful CT can be for problem solving. With their distinctive visual humor and captivating storytelling, the videos will be designed to entice parents to watch alongside their children. This is important since parents will play an important role in guiding them in explorations that support their CT learning. To further promote joint media engagement, hands-on activities will accompany the videos. Following the creation of these resources, an experimental impact study will be conducted to capture evidence as to if and how these resources encourage the development of young children's computational thinking, and to assess parents' comfort and interest in the subject. Concurrent with this design-based research process, the project will build on the infrastructure of state systems of early education and care (which have been awarded Race to the Top grants) and local public television stations to design and develop an outreach initiative to reach parents. Additional partners--National Center for Women & Information Technology, Code in Schools, and code.org (all of whom are all dedicated to promoting CT)--will further help bring this work to a national audience.
Can parent/child engagement with digital media and hands-on activities improve children's early learning of computational thinking? To answer this question, WGBH and EDC/CCT are collaborating on a design-based research process with children and their parents to create Monkeying Around successive interactions. The overarching goal of this mixed-methods research effort is to generate evidence that supports the development of recommendations around the curricular, instructional, and contextual factors that support or impede children's acquisition of CT as a result of digital media viewing and hands-on engagement. Moving through cycles of implementation, observation, analysis, and revision over the course of three years, EDC/CCT researchers will work closely with families and WGBH's development team to determine how children learn the fundamentals of CT, how certain learning tasks can demonstrate what children understand, how to stimulate interest in hands-on activities, and the necessary scaffolds to support parental involvement in the development of children's CT. Each phase of the research will provide rich feedback to inform the next cycle of content development and will include: Phase 1: the formulation of three learning blueprints (for algorithmic thinking, sequencing, and patterns); Phase 2: the development of a cohesive set of learning tasks to provide evidence of student learning, as well as the production of a prototype of the digital media and parent/child engagement resources (algorithmic thinking); Phase 3-Part A: pilot research on the prototype, revisions, production of two additional prototypes (sequencing and patterns); Phase 3-Part B: pilot research on the three prototypes and revisions; and Phase 4: production of 27 animated and live-action videos and 18 parent/child engagement activities and a study of their impact. Through this process, the project team will build broader knowledge about how to design developmentally appropriate resources promoting CT for preschool children and will generate data on how to stimulate interest in hands-on activities and the necessary scaffolds to support parental involvement in the development of children's CT. The entire project represents an enormous opportunity for WGBH and for the informal STEM media field to learn more about how media can facilitate informal CT learning in the preschool years and ways to broaden participation by building parents' capacity to support STEM learning. This project is funded by the Advancing Informal STEM Learning (AISL) program, which seeks to advance new approaches to, and evidence-based understanding of, the design and development of STEM learning in informal environments. This includes providing multiple pathways for broadening access to and engagement in STEM learning experiences, advancing innovative research on and assessment of STEM learning in informal environments, and developing understandings of deeper learning by participants.
This project, a collaboration of teams at Georgia Institute of Technology, Northwestern University, and the Museum of Design Atlanta and the Museum of Science and Industry in Chicago, will investigate how to foster engagement and broadening participation in computing by audiences in museums and other informal learning environments that can transfer to at-home and in-school engagement (and vice versa). The project seeks to address the national need to make major strides in developing computing literacy as a core 21st century STEM skill. The project will adapt and expand to new venues their current work on their EarSketch system which connects computer programming concepts to music remixing, i.e. the manipulation of musical samples, beats and effects. The initiative involves a four-year process of iteratively designing and developing a tangible programming environment based on the EarSketch learning environment. The team will develop three new applications: TuneTable, a multi-user tabletop exhibit for museums; TunePad, a smaller version for use at home and in schools; and an online connection between the earlier EarSketch program and the two new devices.
The goal is to: a) engage museum learners in collaborative, playful programming experiences that create music; b) direct museum learners to further learning and computational music experiences online with the EarSketch learning environment; c) attract EarSketch learners from local area schools to visit the museum and interact with novice TuneTable users, either as mentors in museum workshops or museum guests; and d) inform the development of a smaller scale, affordable tangible-based experience that could be used at homes or in smaller educational settings, such as classrooms and community centers. In addition to the development of new learning experiences, the project will test the hypothesis that creative, playful, and social engagement in the arts with computer programming across multiple settings (e.g. museums, homes, and classrooms) can encourage: a) deeper learner involvement in computer programming, b) social connections to other learners, c) positive attitudes towards computing, and d) the use and recognition of computational concepts for personal expression in music. The project's knowledge-building efforts include research on four major questions related to the goals and evaluation processes conducted by SageFox on the fidelity of implementation, impact, success of the exhibits, and success of bridging contexts. Methods will draw on the Active Prolonged Engagement approach (unobtrusive observation, interviews, tracking-and-timing, data summaries and team debriefs) as well as Participatory Action Research methods.
This work 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.
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TEAM MEMBERS:
Michael HornBrian MagerkoJason Freeman
This infographic presents a visual summary of a user study of the InformalScience.org website, which was conducted in 2016. The study used online surveys, task-based interviews, and web analytics to explore the following questions: (1) Who are the site's users and what content do they value? (2) Does the site clearly convey its purpose to visitors? and (3) Are users able to navigate the site and use search tools effectively?
As a part of its overall strategy to enhance learning in informal environments, the Advancing Informal STEM Learning (AISL) program funds research and innovative resources for use in a variety of settings. This Broad Implementation project would scale up the CryptoClub Project, an afterschool and online program designed to engage middle school youth in mathematics and cryptography. The project builds on previous successful work and evaluation that is ready for scale up using a train-the-trainer model implemented through a partnership with the National Girls Collaborative. The project will train 160 new CryptoClub leaders who will then train 800 new leaders at 20 hub sites reaching 9600 students. In addition, professional development modules and webinars will continue to refresh leader skills. Other project components include an online multiplayer cryptography game, weekly challenges through social media, and digital cryptology badges for students.
The research uses a think-aloud method with students as they actually attempt to solve the cryptology problems using mathematical thinking. Three think-aloud studies will be performed during the Project. The research team will code transcripts of the interviews for evidence of the mathematical thinking intended to be addressed by each activity, as well as capturing unexpected kinds of thinking. Tasks will also be rated according to the type of knowledge elicited. A written report will include statistical analyses of the think-aloud and interview responses, interpreted in light of the overall CryptoClub goals. The findings will contribute to both future research efforts and practice. The evaluation by EDC uses a quasi-experimental design, which assesses project outcomes for trainers, leaders, students, and Internet users. EDC will also investigate the fidelity to the CryptoClub model as it is scaled up. These studies have strong potential for informing numerous other projects that are at a stage where scale up is under consideration.
This project formed a partnership between a research team with experience in computer science (CS) education and learning sciences research and a newly fashioned practitioner team focused on building a grassroots, informal, volunteer group created to help women help themselves and others learn to write computer code. This research-practitioner partnership had a two-pronged focus, first on improving the program offered to learners through making adjustments based on research findings, and second on investigating the phenomenon of how women in the workforce informally learn CS skills that enable them to rewrite their career paths to contribute to what we know from research. The context of the study was situated in the virtual community that has formed around the phenomenally successful Salesforce Customer Relationship Management software platform.
This Exploratory Pathways project aimed to fill a gap in the research; we know little about the phenomenon of adult women in the workforce who are patching together resources to learn CS skills with a goal of job enhancement or job change. This project took an ethnographic approach to studying the informal learning (both through online, written resources and through sharing of knowledge with others) of the women involved in a 10-week, virtual Women’s Coaching and Learning group. The organization of this group consisted of learners—novice coders in the Apex language that is used on the Salesforce software platform, of coaches—more knowledgeable coders, and of a steering committee that ran the group and created the informal curriculum followed in the 10-week course.
Our overarching research question in this study was: In what ways are informal CS learning opportunities being used and created by adult women, what are their experiences with those opportunities, and how does this suggest ways to enhance those opportunities in the future to increase effectiveness in broadening access to and engagement in informal CS learning experiences for women?
We broke the question down into a number of sub questions, including:
Sociocultural context: What past gendered interactions do women report that discouraged (or encouraged) them from learning to code? What do interactions look like in female-only coaching and learning groups? In what ways does a coaching and learning group support persistence? What social barriers and supports outside the group affect persistence?
Personal context: What are the characteristics and backgrounds of female administrators who seek out resources to teach themselves to code? What are the motivations for these women to teach themselves to code? What motivates them to seek out and join all-women coding groups?
Physical context: How are women learning to code both through written resources and in virtual, informal coaching and learning classes? What are the conceptual barriers and supports that they encounter, and what works for women in these classes to overcome barriers? What conceptual barriers and supports affect persistence?
Persistence and identity: In what ways does participating in a learning group with female coaching motivate (or not) women to persist in learning to code? How do their goals or reasons for learning to code change through their participation? How does their identity as a “coder” change or shift as they participate?
Our findings for these subquestions are summarized in the “project products” linked to below.
This summative report evaluates the accessibility and efficacy of a project website as a tool for teaching ecosystem science. Edu ran a qualitative study with twelve participants in order to determine the overall usability and learnability of IntotheRift.org – an online textbook offering a virtual field trip to Lake Tanganyika in East Africa. The goal of the study – identify usability issues and also what currently works well. A learnability study focused on learners’ increase in awareness of ecosystem concepts and research scientists working in Lake Tanganyika. An efficacy study evaluated
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TEAM MEMBERS:
Douglas SpencerSasha MinskyJediah Graham