Reflections from a researcher and caregiver on the process of working together on a study examining strategies to communicate the relevance of engineering practices at exhibits.
This guide shares some of the successes and challenges behind the Science Museum of Minnesota’s Cardboard City exhibition and our partnership with museums across the country through Cardboard Collaborative.
The Cardboard Collaborative is the product of 10 years of work at the Science Museum of Minnesota and part of a larger collaboration with local community organizations to center BIPOC family priorities and experiences. This guide is intended to share what they have learned and support others to create their own cardboard maker worlds.
Hands-on tinkering experiences can help promote more equitable STEM learning opportunities for children from diverse backgrounds (Bevan, 2017; Vossoughi & Bevan, 2014). Latine heritage families naturally engage in and talk about engineering practices during and after tinkering in a children’s museum (Acosta & Haden, in press). We asked how the everyday practice of oral stories and storytelling could be leveraged during an athome tinkering activity to support children’s informal engineering and spatial learning.
Awareness of a STEM discipline is a complex construct to operationalize; a learner’s awareness of a discipline is sometimes viewed through the lens of personal identity, use of relevant discourse, or knowledge of career pathways. This research proposes defining engineering awareness through a learner’s associations with engineering practices - fundamental processes involved in engineering such as identifying criteria and constraints, testing designs, diagnosing issues and assessing goal completion. In this study, a learner’s engineering awareness was determined by examining 1) their ability to
Maker Education scholarship is accumulating increasingly complex understandings of the kinds of learning associated with maker practices along with principles and pedagogies that support such learning. However, even as large investments are being made to spread maker education, there is little understanding of how organizations that are intended targets of such investments learn to develop new maker related educational programs. Using the framework of Expansive Learning, focusing on organizational learning processes resulting in new and unfolding forms of activity, this paper begins to fill
This front-end evaluation study is part of Designing Our Tomorrow: Mobilizing the Next Generation of Engineers, a five-year project (2018–2023) led by the Oregon Museum of Science and Industry (OMSI) with the support of the National Science Foundation (NSF, DRL-1811617) and project partners: Adelante Mujeres, the Biomimicry Institute, and the Fleet Science Center. The Designing Our Tomorrow (DOT) project seeks to promote and strengthen family engagement and engineering learning via compelling exhibit-based design challenges, presented through the lens of sustainable design exemplified by
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