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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TEAM MEMBERS:
Paulo BliksteinSylvia Libow MartinezHeather Allen Pang
Techbridge Girls’ mission is to help girls discover a passion for science, engineering, and technology (SET). In August 2013, Techbridge Girls was awarded a five-year National Science Foundation grant to scale up its after-school program from the San Francisco Bay Area to multiple new locations around the United States. Techbridge Girls began offering after-school programming at elementary and middle schools in Greater Seattle in 2014, and in Washington, DC in 2015.
Education Development Center is conducting the formative and summative evaluation of the project. To assess the
Techbridge Girls’ mission is to help girls discover a passion for science, engineering, and technology (SET). In August 2013, Techbridge Girls was awarded a five-year National Science Foundation grant to scale up its after-school program from the San Francisco Bay Area to multiple new locations around the United States. Techbridge Girls began offering after-school programming at elementary and middle schools in Greater Seattle in 2014, and in Washington, DC in 2015.
Education Development Center is conducting the formative and summative evaluation of the project. To assess the
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
In this chapter, we explore making as a learning process in the context of a museum-based maker space designed for family participation. In particular, we focus on young children, and their adult learning partners, as an important demographic to consider and for which to design making environments and experiences. Importantly, we take a close look at the evolving role of museum educators in supporting young children's meaningful participation in making as an informal learning process. Through the presentation of a single case of a child's making in the museum, we identify key factors that
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
This project will advance efforts of the Innovative Technology Experiences for Students and Teachers (ITEST) program to better understand and promote practices that increase students' motivations and capacities to pursue careers in fields of science, technology, engineering, or mathematics (STEM) by producing empirical findings and/or research tools that contribute to knowledge about which models and interventions with K-12 students and teachers are most likely to increase capacity in the STEM and STEM cognate intensive workforce of the future.
The LinCT (Linking Educators, Youth, and Learners in Computational Thinking) project at the Science Museum of Minnesota (SMM) will engage female teachers-in-training and youth from underrepresented demographics in immersive technology experiences and STEM education. LinCT will guide teachers to develop their understanding and use of technology in the classroom, as well as prepare youth for a future where technology plays a key role in a wide range of professional opportunities. The project aims to inspire teachers and youth to see the possibilities of technological competencies, as well as why the incorporation of technology can build meaningful learning experiences and opportunities for all learners. The LinCT program model offers learning and application experiences for participating teachers and youth and provides an introduction of technological tools used in SMM educational programs and professional development on approaches for engaging all learners in STEM. Both groups will provide instruction in SMM technology-based Summer Camps, reaching 1,000 young people every year. In each following school year, project educators will develop and deliver technology-based programs to nearly 1,000 under-served and underrepresented elementary students. The project will allow teachers and youth to deliver exciting and engaging technology-based programs to nearly 4,000 diverse young learners. As a result, all participants in this project will be better equipped to incorporate technology in their future careers.
The LinCT project will investigate effective approaches for broadening the participation of underrepresented populations by providing female pre-service teachers and female youth with opportunities to lead programming at the Science Museum of Minnesota (SMM). Over three years, the LinCT project will employ 8-12 female teachers-in-training [Teacher Tech Cadres (TTC)] and 12-24 female youth [Youth Teaching Tech Crews (Y-TTC)] from demographics that are underrepresented in STEM fields. The integration of these groups will result in relationships fostered within an educational program, where all participants are learners and teachers, mentors and mentees. The results of this unique program model will be assessed through the experiences of this focused professional learning and teaching community. The LinCT research study will focus on three aspects of the project. First, it will seek to understand how the teachers-in-training and youth experience the project model's varied learning environments. Next, the study will explore how the TTC's and the Y-TTC's motivation, confidence, and self-efficacy with integrating technology across educational settings change because of the program. Finally, the study will seek to understand the lasting aspects of culture, training, and community building on SMM's internal teams and LinCT partner institutions (University of St. Catherine's National Center for STEM Elementary Education and Metropolitan State University's School of Urban Education).
As a leader in the science museum field, the New York Hall of Science (NYSCI) is a destination for hands-on, interactive exhibitions and innovative programs. NYSCI’s Design-Make-Play (DMP) pedagogical approach to STEM learning recognizes that what is essential is not only the content—what is being taught—but how teaching and learning are imagined through the curriculum. This commitment to practice builds off of interest-based learning research, which emphasizes that all learners should feel a sense of efficacy and possibility. The hallmarks of this approach include deep personal engagement
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TEAM MEMBERS:
Amanda SolarshGina TesorieroMichaela LabrioleTara Chudoba
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.
As part of an overall strategy to enhance learning within maker contexts in formal and informal environments, the Innovative Technology Experiences for Students and Teachers (ITEST) and Advancing Informal STEM Learning (AISL) programs partnered to support innovative models in Making poised to catalyze new approaches in STEM learning and innovation. Employing a novel design and development approach, this Early Concept Grant for Exploratory Research (EAGER) will test the feasibility of integrating Making concepts with real world micro-manufacturing engineering principles within the context of intense, multi-year team apprenticeship experiences for high school students. The apprenticeship model is particularly novel, as current Making research and experiences predominately take place in afterschool and summer programs for up to 25 youth. The proposed apprenticeships will require a two year commitment by a small cohort of Texas high school students, which will provide an opportunity to examine the feasibility and impact of the effort longitudinally. The cohort will learn to think critically, solve problems, and work together as a Making Production Team (MPT) in a customized makerspace in their high school, constructing engineering-based science kits for implementation in a local elementary school. Not only will the students enhance their content knowledge while developing design and development skills but the students will also receive stipends which will address two very practical needs for the targeted high need population - employment and workforce development. Few, if any, efforts currently serve the targeted population through the contextualization of Making within a supply chain management and micro-manufacturing framework that extends the Making experience by integrating the student designed products into elementary classrooms. As such, this project will contribute to essentially unexplored areas of Making research and development.
Six high school students from high poverty, underserved Texas communities along the Texas-Mexico border (colonias) will be selected for the Making Production Team (MPT). In Years 1 and 2, the students will meet regularly during the academic school year and over the summer with Texas A & M University undergraduates, graduate students, and the project team to learn key aspects of Making and manufacturing (i.e., ideation, prototyping, design, acquisition, personnel, and production) through hands-on making activities and direct instruction. Concurrently, a research study will be conducted to explore: (a) the actualization of the model in an underserved community, (b) the effectiveness of problem-based learning to train students in the model, and (c) STEM knowledge and self-concept. Data will be collected from multiple sources. An adapted version of the Academic Self-Description Questionnaire will be administered to the students to assess their STEM technical knowledge and skills as well as their self-concept in relation to STEM domains. Remote and in person interviews will be conducted with the students to track the evolution of the primary dependent variables, STEM learning and self-concept, over time. Program facilitators and partners will be interviewed to examine the feasibility of the making experience within the given context and for the targeted students. Finally, the students' diary reflections, products, and video recordings of their work sessions will also be examined. Time-series quantitative tests and in-depth qualitative methods will be used to analyze the data.
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TEAM MEMBERS:
Francis QuekSharon Lynn ChuMalini NatarajarathinamMathew Kuttolamadom
This document contains the appendices and literature review from the report "Art+Science: Broadening Youth Participation in STEM Learning." It includes assessment tools used during the project.