This book contains project ideas, articles, and best practices from educators at the forefront of making and hands-on education. The Stanford University FabLearn Fellows are a group of K-12 educators teaching in Fab Labs, makerspaces, classrooms, libraries, community centers, and museums—all with the goal of making learning more meaningful.
In this book, the FabLearn Fellows share inspirational ideas from their learning spaces, assessment strategies and recommended projects across a broad range of age levels. Illustrated with color photos of real student work, the Fellows take you on a
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Paulo BliksteinSylvia Libow MartinezHeather Allen Pang
MobiLLab is a mobile science education program designed to awaken young people’s interest in science and technology (S&T). Perceived novelty, or unfamiliarity, has been shown to affect pupils’ educational outcomes at similar out-of-school learning places (OSLePs) such as museums and science centers. A study involved 215 mobiLLab pupils who responded to three surveys: a pre-preparation, at-visit, and post-visit survey. Results provide evidence for four dimensions of pupils’ at-visit novelty: curiosity, exploratory behavior, oriented feeling, and cognitive load. Findings also show that classroom
In March of 2016, the Exploratorium transmitted a live webcast of a total solar eclipse from Woleai, a remote island in the southwestern Pacific. The webcast reached over 1 million viewers. Evaluation reveals effective use of digital media to engage learners in solar science and related STEM content.
Edu, Inc. conducted an external evaluation study that shows clear and consistent evidence of broad distribution of STEM content through multiple online channels, social media, pre-produced videos, and an app for mobile devices. IBM Watson did a deep analysis of tweets on eclipse topics that
To explore the role and impact of The Innovation Lab at Youth Radio, Rockman et al, an independent research and evaluation organization, conducted an external evaluation of the project. With funding from the National Science Foundation’s Advancing Informal STEM Learning (AISL) program, the Innovation Lab sought to develop and research a scalable, evidence-informed theory of action to engage underrepresented youth in Science, Technology, Engineering, and Mathematics (STEM) learning through the collaborative creation and dissemination of original journalistic media, technology, and curriculum
In this essay, Shirin Vossoughi, Paula Hooper, and Meg Escude advance a critique of branded, culturally normative definitions of making and caution against their uncritical adoption into the educational sphere. The authors argue that the ways making and equity are conceptualized can either restrict or expand the possibility that the growing maker movement will contribute to intellectually generative and liberatory educational experiences for working-class students and students of color. After reviewing various perspectives on making as educative practice, they present a framework that treats
The “Fourth Industrial Revolution” is transforming the world of work. Just as it happened with the technologies of the steam, electricity and computer revolutions, digital technologies are now becoming pervasive and reshaping all parts of the global economy. The computing industry’s rate of job creation in the U.S. is now three times the U.S. national average. This rapid expansion of the computing workforce means that computing skills – with coding at the core – are the most sought-after skills in the American job market.
Yet amid this boom, research by Accenture and Girls Who Code shows
Evaluation of the "Making Sense" Art-Science workshop jointly sponsored by ARTLAB+ at the Hirshhorn Museum and Sculpture Garden and the National Museum of Natural History Q?rius youth program. Findings reiterate 2015 findings that youth experience the art-science integration as interdisciplinary and as such, arts-oriented students become more interested in and find a safe environment for studying science. Students who experience the integration as substantive discover a place for creativity in steps in the scientific process. The program also functions as an entree into both more intense youth
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.
This project will make synthetic biology activities accessible to high school students and teachers by providing them with an authentic but safe context to learn. These activities will also broaden their understanding and perspectives about how synthetic biology and bioengineering is used in personal, health, and food production contexts as well as raise their interest in STEM. The design of bioMAKERlab will generate an educational version of an existing professional-grade lab for synthetic biology to promote safe production, accessibility, and affordability for high schools and community colleges interested in integrating such wetlab activities into their curriculum.
Most current efforts to broaden access to maker activities for K-12 students have focused on developing collaborative fabrication workspaces (fablabs) involving 3D printers, laser cutters, and other digital and traditional tools. This project will develop and implement bioMAKERlab, an innovative wetlab starter kit and activities that will enable high school students and teachers to engage in synthetic biology by building genetic circuits that let microorganisms change color, smell, and shape. In synthetic biology, participants make their own DNA--gene by gene--and then grow their designs into real applications by inserting them into microorganisms to develop different traits and characteristics provided by the genes. The project will involve students from a Philadelphia public high school and young people participating in weekend workshops at The Franklin Institute, a Philadelphia-based science museum.
This project is a part of NSF's Maker Dear Colleague Letter portfolio (NSF 15-086), a collaborative investment of Directorates for Computer & Information Science & Engineering, Education and Human Resources, and Engineering.
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