We characterize the factors that determine who becomes an inventor in the United States, focusing on the role of inventive ability (“nature”) vs. environment (“nurture”). Using deidentified data on 1.2 million inventors from patent records linked to tax records, we first show that children’s chances of becoming inventors vary sharply with characteristics at birth, such as their race, gender, and parents’ socioeconomic class. For example, children from high-income (top 1%) families are ten times as likely to become inventors as those from below-median income families. These gaps persist even
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TEAM MEMBERS:
Alex BellRaj ChettyXavier JaravelNeviana PetkovaJohn Van Reenen
This is a story about learning STEM content and practices while making objects. It is also a story about how that learning is contextualized in one young man’s disruption of racism simply by trying to learn how gears work. Our project, Investigating STEM Literacies in MakerSpaces (STEMLiMS), focuses on how adults and youth use representations to accomplish tasks in STEM disciplines in formal and informal making spaces (Tucker-Raymond, Gravel, Kohberger, & Browne, 2017). Making is an interdisciplinary endeavor that may involve mechanical and electrical engineering, digital literacies and
Planning for a permanent exhibition examining the role of horse-drawn vehicles in American life in the 19th and early 20th centuries.
A World Before Cars represents the latest phase of a major redesign of the LIM’s carriage museum, which contains one of the largest and finest holdings of horse-drawn vehicles and related transportation artifacts in the country. Utilizing the expertise of skilled consultants and the highly-regarded H. Lee Skolnick Architecture and Design Partnership, the LIM will plan an interpretive gallery composed of hands-on activity areas that explore the experiences of carriage riding/driving, the integral role of horses in 19th-century America, and the ways in which carriage design innovations informed and influenced automobile design. From a ride simulation exercise to interactive computer kiosks and a comparative display of carriage and automobile parts, this new gallery will be designed to engage a variety of different visitor age and experience levels, providing an immersive entry into the world of carriages, and the unexpected ways in which they connect to our modern lives.
Given the growth of technology in the 21st century and the growing demands for computer science skills, computational thinking has been increasingly included in K-12 STEM (Science, Technology, Engineering and Mathematics) education. Computational thinking (CT) is relevant to integrated STEM and has many common practices with other STEM disciplines. Previous studies have shown synergies between CT and engineering learning. In addition, many researchers believe that the more children are exposed to CT learning experiences, the stronger their programming abilities will be. As programming is a
In November 2016, within an Environmental studies course at the University of Venice, students carried out an experiment aimed at collecting scenarios of the Venetian coast's future starting from lessons learnt during the episode of storm surge 50 years ago (Aqua Granda ‘flood’). The students built scenarios able to anticipate the effect of sea level rise on coastal areas in Venice, based not only on scientific input but also on a methodology called “Futurescape city Tours” (FCT) involving inhabitants of the barrier islands of Lido and Pellestrina. This paper will explore three main questions
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TEAM MEMBERS:
Alba L’AstorinaAlessia GhezziStefano GuerzoniEmanuela Molinaroli
Computational Thinking (CT) is a relatively new educational focus and a clear need for learners as a 21st century skill. This proposal tackles this challenging new area for young learners, an area greatly in need of research and learning materials. The Principal Investigators will develop and implement integrated STEM+C museum exhibits and integrate CT in their existing engineering design based PictureSTEM curriculum for K-2 students. They will also pilot assessments of the CT components of the PictureSTEM curriculum. This work will make a unique contribution to the available STEM+C learning materials and assessments. There are few such materials for the kindergarten to second grade (K-2) population they will work with. They will research the effects of the curriculum and the exhibits with a mixed methods approach. First, they will collect observational data and conduct case studies to discover the important elements of an integrated STEM+C experience in both the formal in-school setting with the curriculum and in the informal out-of-school setting with families interacting with the museum exhibits. This work will provide a novel way to understand the important question of how in- and out-of-school experiences contribute to the development of STEM and CT thinking and learning. Finally, they will collect data from all participants to discover the ways that their activities lead to increases in STEM+C knowledge and interest.
The Principal Investigators will build on an integrated STEM curriculum by integrating CT and develop integrated museum exhibits. They base both activities on engineering design implemented through challenge based programming activities. They will research and/or develop assessments of both STEM+C integrated thinking and CT. Their research strategy combines Design Based Research and quantitative assessment of the effectiveness of the materials for learning CT. In the first two years of their study, they will engage in iterations on the design of the curriculum and the exhibits based on observation and case-study data. There will be 16 cases that draw from each grade level and involve data collection for the case student in both schools and museums. They will also use this work to illuminate what integrated STEM+C thinking and learning looks like across formal and informal learning environments. Based in some part on what they discover in this first phase, they will conduct the quantitative assessments with all (or at least most) students participating in the study
The EEE project focused on creating approaches for engineering experts to incorporate objects and oral narratives into family STEM programs. The engineering experts included tinkerers, mechanical, nuclear and costume engineers, with varying levels of experience and backgrounds. These experts work with the research team, Museum and Library, to create a workshop or program where children and their families can create a novel project following engineering concepts.
One way to motivate young people from diverse backgrounds to pursue engineering careers is to enlist them as educators who can help the general public understand how engineers help respond to the challenges of everyday life. The New York Hall of Science, which serves a large and diverse audience, is an ideal setting for testing the promise of this strategy. Youth educators and curators of public programs at the Hall of Science will mentor two groups of high school- and early college-aged youth, who will contribute to the design and facilitation of engineering-focused events and activities for museum visitors. They will work together to develop engineering programming for the public that emphasizes the cultural and interpersonal dimensions of engineering practices. This group of young people will be recruited from the Hall of Science's more than 100 Explainers, a very diverse group of young people who work part-time at the Hall of Science and engage with visitors as they explore the museum. Researchers will track participants' experiences and document their impact on museum visitors' perceptions of engineering. The expectation is that creating and delivering these experiences for visitors will have a positive impact on the youth participants' understanding of the engineering disciplines, and on visitors' perceptions of engineering and its relationship to everyday life.
The project will use observations, interviews, journaling, and the Engineering Professional Skills Assessment to explore youth experience, and visitor exit surveys and interviews to probe visitor perceptions. Both the skills assessment and visitor surveys are NSF-funded instruments. Data coding will be grounded in the engineering habits of mind defined by the National Research Council's Committee on Understanding and Improving K-12 Engineering Education in the United States (2009). The project will capture evidence regarding which habits of mind the Fellows are most frequently engaged with. The effort will also explore how interactions with peers (as colleagues), with experts (as learners, such as with Designers in Residence) and with visitors (as teachers and leaders) may be associated with different combinations of the habits of mind over the course of the project. Visitor data and assessment data will allow the project to begin to make analytic connections between participating young people's increased understanding of culturally-situated engineering challenges, and their impact on the experiences of museum visitors who engage with engineering programming at the Hall of Science.
Biology has become a powerful and revolutionary technology, uniquely poised to transform and propel innovation in the near future. The skills, tools, and implications of using living systems to engineer innovative solutions to human health and global challenges, however, are still largely foreign and inaccessible to the general public. The life sciences need new ways of effectively engaging diverse audiences in these complex and powerful fields. Bio-Tinkering Playground will leverage a longtime partnership between the Stanford University Department of Genetics and The Tech Museum of Innovation to explore and develop one such powerful new approach.
The objective of Bio-Tinkering Playground is to create and test a groundbreaking type of museum space: a DIY community biology lab and bio-makerspace, complete with a unique repertoire of hands-on experiences. We will tackle the challenge of developing both open-ended bio-making activities and more scaffolded ones that, together, start to do for biology, biotech, and living systems what today’s makerspaces have done for engineering.
A combined Design Challenge Learning, making, and tinkering approach was chosen because of its demonstrated effectiveness at fostering confidence, creative capacity, and problem solving skills as well as engaging participants of diverse backgrounds. This educational model can potentially better keep pace with the emerging and quickly evolving landscape of biotech to better prepare young people for STEM careers and build the next generation of biotech and biomedical innovators.
Experience development will be conducted using an iterative design process that incorporates prototyping and formative evaluation to land on a final cohort of novel, highly-vetted Bio-Tinkering Playground experience. In the end, the project will generate a wealth of resources and learnings to share with the broader science education field. Thus, the impacts of our foundational work can extend well beyond the walls of The Tech as we enable other educators and public institutions around the world to replicate our model for engagement with biology.
Research that seeks to understand classroom interactions often relies on video recordings of classrooms so that researchers can document and analyze what teachers and students are doing in the learning environment. When studies are large scale, this analysis is challenging in part because it is time-consuming to review and code large quantities of video. For example, hundreds of hours of videotaped interaction between students working in an after-school program for advancing computational thinking and engineering learning for Latino/a students. This project is exploring the use of computer-assisted methods for video analysis to support manual coding by researchers. The project is adapting procedures used for computer-aided diagnosis systems for medical systems. The computer-assisted process creates summaries that can then be used by researchers to identify critical events and to describe patterns of activities in the classroom such as students talking to each other or writing during a small group project. Creating the summaries requires analyzing video for facial recognition, motion, color and object identification. The project will investigate what parts of student participation and teaching can be analyzed using computer-assisted video analysis. This project is supported by NSF's EHR Core Research (ECR) program, the STEM+C program and the AISL program. The ECR program emphasizes fundamental STEM education research that generates foundational knowledge in the field. The project is funded by the STEM+Computing program, which seeks to address emerging challenges in computational STEM areas through the applied integration of computational thinking and computing activities within disciplinary STEM teaching and learning in early childhood education through high school (preK-12). 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.
The video analysis systems will provide video summarizations for specific activities which will allow researchers to use these results to quantify student participation and document teaching practices that support student learning. This will support the analysis of large volumes of video data that are often time-consuming to analyze. The video analysis system will identify objects in the scene and then use measures of distances between objects and other tracking methods to code different activities (e.g., typing, talking, interaction between the student and a facilitator). The two groups of research questions are as follows. (1) How can human review of digital videos benefit from computer-assisted video analysis methods? Which aspects of video summarization (e.g., detected activities) can help reduce the time it takes to review the videos? Beyond audio analytics, what types of future research in video summarization can help reduce the time that it takes to review videos? (2) How can we quantify student participation using computer-assisted video analysis methods? What aspects of student participation can be accurately measures by computer-assisted video analysis methods? The video to be used for this study is drawn from a project focused on engineering and computational thinking learning for Latino/a students in an after-school setting. Hundreds of hours of video are available to be reviewed and analyzed to design and refine the system. The resulting coding will also help document patterns of engagement in the learning environment.
This project is funded by the National Science Foundation's (NSF's) Advancing Informal STEM Learning (AISL) program, which supports innovative research, approaches, and resources for use in a variety of learning settings.
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TEAM MEMBERS:
Marios PattichisSylvia Celedon-PattichisCarlos LopezLeiva
K-12 informal engineering education can support student confidence, interest, and awareness of the field of engineering. Studies have suggested that K-12 informal learning can influence students’ awareness of the fields of engineering as potential career opportunities. Researchers have also found that engineering activities outside of school can engage youth in disciplines of which they are unfamiliar because of a lack of engineering opportunity in K12 formal education. In this paper, we provide a rich case study of one lesson’s implementation in a 5th-6th grade girls afterschool program. Our
This Conference Paper was presented at the International Soceity for the Learning Sciences Confernece in June 2018. We summarize interviews with youth ages 9-15 about their failure mindsets, and if those midsets cross boundaries between learning environments.
Previous research on youth’s perceptions and reactions to failure established a view of failure as a negative, debilitating experience for youth, yet STEM and in particular making programs increasingly promote a pedagogy of failures as productive learning experiences. Looking to unpack perceptions of failure across contexts and