DiscoverE hired Concord Evaluation Group (CEG) to conduct an independent evaluation of the Future City program. Future City has been operating since 1992. According to DiscoverE, the Future City program is “a national, project-based learning experience where students in 6th, 7th, and 8th grade imagine, design, and build cities of the future. Students work as a team with an educator and engineer mentor to plan cities using SimCityTM software; research and write solutions to an engineering problem; build tabletop scale models with recycled materials; and present their ideas before judges at
Future City, operating since 1992, is “a national, project-based learning experience where students in sixth, seventh, and eighth grade imagine, design, and build cities of the future. Students work as a team with an educator and engineer mentor to plan cities using SimCityTM software, research and write solutions to an engineering problem, build tabletop scale models with recycled materials, and present their ideas before judges at regional competitions in January. Regional winners represent their region at the National Finals in Washington, DC in February.
Future City’s cross-curricular
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
This paper examines the differences and challenges encountered when trying to create informal blended (virtual and hands-on) engineering design STEM activities. It contrasts the creation of STEM activities for formal and informal learning environments, stressing that the differences extend far beyond the length of the activity or depth of any learning goals. The discussion begins with an examination of differences between the two learning environments that need to be taken into consideration. These differences include the physical environments, organizational structures, and the goals or
This paper discusses findings from the use of the Wise Guys and Gals (WGG) Observation of WGG Youth Protocol in a blended learning environment. The protocol was used to assess youth engagement when completing blended engineering design challenges at two Boys and Girls Clubs. WGG is a project funded through a grant from the National Science Foundation and which brings blended learning design challenges to middle school aged learners in informal STEM (science, technology, engineering, and mathematics) settings. This paper explores the feasibility of using the observation protocol to collect data
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
Program evaluators from the Education Development Center (EDC) used a mixed-methods, quasi-experimental design to evaluate the impact on girls’ awareness and interest in science, technology, engineering, and mathematics (STEM). After the final year of the project, EDC delivered a summative report to Techbridge Girls (TBG), which was based on data collected during the five-year grant period, with a particular focus on the final year that grant funds supported programming (2017-18). Data included pre- and post-surveys with TBG participants and comparison students, participant focus groups, and
This three-year research and implementation project empowers middle school LatinX youth to employ their own assets and funds of knowledge to solve community problems through engineering. Only 7% of adults in the STEM job cluster are of Hispanic/Latino origin. There is a continuing need for filling engineering jobs in our current and future economy. This project will significantly broaden participation of LatinX youth in engineering activities at a critical point as they make career decisions. Design Squad Global LatinX expands on a tested model previously funded by NSF and shown to be successful. It will enable LatinX youth to view themselves as designers and engineers and to build from their strengths to expand their skills and participation in science and engineering. The project goals are to: 1) develop an innovative inclusive approach to informal engineering education for LatinX students that can broaden their engineering participation and that of other underrepresented groups, (2) to galvanize collaborations across diverse local, national, and international stakeholders to create a STEM learning ecosystem and (3) to advance knowledge about a STEM pedagogy that bridges personal-cultural identity and experience with engineering knowledge and skills. Project deliverables include a conceptual framework for a strength-based approach to engineering education for LatinX youth, a program model that is asset based, a collection of educational resources including a club guide for how to scaffold culturally responsive engineering challenge activities, an online training course for club leaders, and a mentoring strategy for university engineering students working with middle school youth. Project partners include the global education organization, iEARN, the Society of Women Engineers, and various University engineering programs.
The research study will employ an experimental study design to evaluate the impact on youth participating in the Design Squad LatinX programs. The key research questions are (1) Does participation increase students' positive perceptions of themselves and understanding of engineering and global perspectives? (2) To what extent do changes in understanding engineering vary by community (site) and by student characteristics (age, gender, ethnicity)? (3) Do educators and club leaders increase their positive perceptions of youths' funds of knowledge and their own understanding of engineering? and (4) Do university mentors increase their ability to lead informal engineering/STEM education with middle school youth? A sample from 72 local Design Squad LatinX clubs with an enrollment of 10-15 students will be drawn with half randomly assigned to the participant condition and half to the control condition. Methods used include pre and post surveys, implementation logs for checks on program implementation, site visits to carry out observations, focus groups with students and interviews with adult leaders. Data will be analyzed by estimating hierarchical linear models with observations. In addition, in-situ ethnographically-oriented observations as well as interviews at two sites will be used to develop qualitative case studies.
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.
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