Informal STEM learning experiences (ISLEs), such as participating in science, computing, and engineering clubs and camps, have been associated with the development of youth’s science, technology, engineering, and mathematics interests and career aspirations. However, research on ISLEs predominantly focuses on institutional settings such as museums and science centers, which are often discursively inaccessible to youth who identify with minoritized demographic groups. Using latent class analysis, we identify five general profiles (i.e., classes) of childhood participation in ISLEs from data
DATE:
TEAM MEMBERS:
Remy DouHeidi CianZahra HazariPhilip SadlerGerhard Sonnert
This paper attempts to reframe popular notions of “failure” as recently celebrated in the Maker Movement, Silicon Valley, and beyond. Building on Vossoughi et al.’s 2013 FabLearn publication describing how a focus on iterations/drafts can serve as an equity-oriented pedagogical move in afterschool tinkering contexts, we explore what it means for afterschool youth and educators to persist through unexpected challenges when using an iterative design process in their tinkering projects. More specifically, this paper describes: 1) how young women in a program geared toward increasing equitable
Millions of Latinx youth, aged 14 to 18, work formal or informal jobs to provide income for themselves or their families. In the context of these workplaces, Latinx youth demonstrate numerous skills that are essential to industrial engineering, such as minimizing workplace injuries or optimizing processes to maximize efficiency. However, their workplace ingenuity and skills are often underrecognized by educational systems. To counter this lack of recognition, the purpose of this project is to iteratively develop and research an out-of-school engineering program for working Latinx youth. This program is designed to recognize and build from youths’ workplace experiences by connecting them with industrial engineering concepts and practices, such as those used to promote worker safety. This program is also designed for youth to articulate transformational visions of industrial engineering, which expand current goals, values, and methods commonly embraced within this discipline. This year-long program will be facilitated by educators of existing out-of-school programs (e.g., Mathematics, Engineering, and Science Achievement), in partnership with undergraduate mentors from the Society for Professional Hispanic Engineers and other local organizations that serve Latinx youth (e.g., Latinos in Action). Approximately 220 youth are expected to participate in the programming. Researchers will explore whether and how youth participants develop identities in engineering, as well as how the educators and mentors understand and enact assets-based, out-of-school engineering education grounded in youths’ experiences. Researchers will also identify the individual, institutional, and systemic factors that support or inhibit sustained implementation of the program over time in different sites and contexts. This project will result in a set of empirically tested, bilingual program materials that will be disseminated widely to professional organizations dedicated to out-of-school programming and to serving Latinx youth.
This project will result in a localizable, transferable, and sustainable model for an out-of-school time program that recognizes and amplifies Latinx youths’ workplace funds of knowledge and leverages them toward youth-driven visions and applications of engineering. This program, which will connect with other people and sites in youths’ learning ecosystems, is grounded in principles of translanguaging, transformational mentorship, and educational dignity and recognition. In partnership with youth participants, researchers will use a social design experiment to explore the following research questions: What are the engineering identity trajectories of working high school youth, and how do specific moments of identity negotiation and recognition relate to broader patterns across program sessions and identity trajectories for individual participants over time? To answer these questions, a pre-, mid- and post-program Engineering Identity Scale; recordings of program implementations; interviews; and youth artifacts will be analyzed using various methods such as critical multimodal discourse analysis. After implementations of the program across multiple sites, researchers will use design-based implementation research to answer the following questions: How do educators and mentors understand and enact assets-based pedagogies designed to foster recognition across sites? What institutional and systemic features (designed or naturalistic) support or inhibit productive adaptations and implementations of the program? These questions will be answered using constant comparative analyses of data sources such as interviews with the program educators and mentors, observations of program implementations, observations of professional development sessions, and public documents. Culturally responsive, educative evaluation will be used to iteratively improve the program. The resulting research and program materials will be disseminated widely through professional organizations dedicated to Latinx youth, engineering education, and out-of-school learning.
This Innovations in Development project is funded by the Advancing Informal STEM Learning (AISL) program, which seeks to (a) advance new approaches to and evidence-based understanding of the design and development of STEM learning in informal environments; (b) provide multiple pathways for broadening access to and engagement in STEM learning experiences; (c) advance innovative research on and assessment of STEM learning in informal environments; and (d) engage the public of all ages in learning STEM in informal environments.
DATE:
-
TEAM MEMBERS:
Amy Wilson-LopezAlfonso Torres-RuaMarisela Martinez-ColaColby Tofel-GrehlAlfonso Torres-Rua
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.
DATE:
-
TEAM MEMBERS:
Marios PattichisSylvia Celedon-PattichisCarlos LopezLeiva
This paper examines STEM-based informal learning environments for underrepresented students and reports on the aspects of these programs that are beneficial to students. This qualitative study provides a nuanced look into informal learning environments and determines what is unique about these experiences and makes them beneficial for students. We provide results of a qualitative research study conducted with the Mathematics, Engineering, Science Achievement (MESA) program, an informal learning environment that has proven to be effective in recruiting, retaining and encouraging
DATE:
TEAM MEMBERS:
Cameron DensonChandra Austin StallworthChristine HaileyDaniel Householder
Concord Evaluation Group (CEG) conducted an outreach partner evaluation for Design Squad Global (DSG). DSG is produced and managed by WGBH Educational Foundation. WGBH partnered with FHI360, a nonprofit human development organizations working in 70 countries, to implement DSG around the globe.
In the DSG program, children in afterschool and school clubs explored engineering through hands-on activities, such as designing and building an emergency shelter or a structure that could withstand an earthquake. Through DSG, children also had the chance to work alongside a partner club from another
In 2017, Concord Evaluation Group (CEG) conducted a summative evaluation of Design Squad Global (DSG). DSG is produced and managed by WGBH Educational Foundation. WGBH partnered with FHI 360, a nonprofit human development organizations working in 70 countries, to implement DSG around the globe.
In the DSG program, children in afterschool and school clubs explored engineering through hands-on activities, such as designing and building an emergency shelter or a structure that could withstand an earthquake. Through DSG, children also had the chance to work alongside a partner club from another
This study explored the effect of depth of learning (as measured in hours) on creativity, curiosity, persistence and self-efficacy. We engaged ~900 parents and 900 students across 21 sites in Washington, Chicago, Los Angeles, New York, Alabama, Virginia and the United Arab Emirates, in 5-week (10-hr) Curiosity Machine programs. Iridescent trained partners to implement the programs. Thus, this analysis was also trying to establish a baseline to measure any loss in impact from scaling our programs and moving to a “train-the-trainer” model. We analyzed 769 surveys out of which 126 were paired. On
The Montana Girls STEM Collaborative brings together organizations and individuals throughout Montana who are committed to informing and motivating girls to pursue careers in STEM – Science, Technology, Engineering and Mathematics. The Collaborative offers professional development, networking and collaboration opportunities to adults who offer and/or support STEM programs for girls and other youth typically under-represented in STEM. The vision of Montana Girls STEM is that every young person in Montana has the opportunity to learn about STEM careers and feels welcome pursuing any dream they
DATE:
TEAM MEMBERS:
Suzi TaylorRay CallawayCathy Witlock