RISES (Re-energize and Invigorate Student Engagement through Science) is a coordinated suite of resources including 42 interactive English and Spanish STEM videos produced by Children's Museum Houston in coordination with the science curriculum department at Houston ISD. The videos are aligned to the Texas Essential Knowledge and Skills standards, and each come with a bilingual Activity Guide and Parent Prompt sheet, which includes guiding questions and other extension activities.
The purpose of this project is to establish and foster a new partnership between the University of Alabama and Arts 'n Autism, a community organization that provides supervised after-school care and outreach to children and youth with a diagnosis of Autism Spectrum Disorder (ASD).
This practitioner guide summarizes lessons learned from a three-year design-based research project focused on using elements of narrative (such as characters, settings, and problem frames) to evoke empathy and support girls' engagement in engineering design practices. The guide includes a summary of the driving concepts and key research findings from this work, as well as design principles for creating narrative-based engineering activities. Six activity case studies illustrate the design principles in action, and facilitation tips and observation tools offer practical guidance in developing
"Making and Tinkering" links science, technology, engineering and mathematics learning (STEM) to the do-it-yourself "maker" movement, where people of all ages "create and share things in both the digital and physical world" (Resnick & Rosenbaum, 2013). This paper examines designing what Resnick and Rosenbaum (2013) call "contexts for tinkerability" within the social design experiment of El Pueblo Mágico (EPM) -- a design approach organized around a cultural historical view of learning and development. We argue that this theoretical perspective reorganizes normative approaches to STEM education
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TEAM MEMBERS:
Lisa SchwartzDaniela DigiacomoKris Gutierrez
Background. STEM identity has emerged as an important research topic and a predictor of how youth engage with STEM inside and outside of school. Although there is a growing body of literature in this area, less work has been done specific to engineering, especially in out-of-school learning contexts.
Methods. To address this need, we conducted a qualitative investigation of five adolescent youth participating in a four-month afterschool engineering program. The study focused on how participants negotiated engineering-related identities through ongoing interactions with activities, peers
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
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 afterschool program from the San Francisco Bay Area to multiple new locations around the United States. Techbridge Girls began offering afterschool 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 implementation
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 afterschool program from the San Francisco Bay Area to multiple new locations around the United States. Techbridge Girls began offering afterschool 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 implementation
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
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. In the fall of 2014, Techbridge Girls began offering after-school programming at five elementary and two middle schools in the Highline Public School district, located near Seattle, WA.
Education Development Center is conducting the formative and summative evaluation of the