The Kaulele Kapa Exhibit was created to explore the effectiveness of a Hawaiian culture-based framework and approach in increasing learner engagement and depth of knowledge in STEM among Native Hawaiian/Pacific Islander (NHPI) learners. The exhibit utilized hands-on and interactive activities, coupled with scientific and cultural information, to create relevant learning experiences for these communities. To determine the effectiveness, exhibit attendees were invited to complete a survey that asked about how the exhibit influenced their interest and understanding of STEM and Hawaiian culture
The Institute for Native Pacific Education and Culture will address low science and math proficiency achievement rates for Native Hawaiian students by designing more relevant STEM learning activities. The INPEACE Indigenous Science Center’s Mahina Exhibit Project will create three exhibit designs with learning objectives targeted for students ages 4-14. Focused on the Mahina (moon), the exhibits and related activities will be designed to be enjoyable and thought-provoking for Native Hawaiian communities to engage in STEM learning through a framework that is familiar. Through consultation with experienced exhibit designers, the science center’s staff will gain a stronger understanding of best practices in exhibit design, and indigenous communities will benefit from approaches that translate their own histories into relevant and fun STEM learning experiences.
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
Parents are vital players in raising youth’s awareness of the value of STEM and in brokering their participation in activities that build STEM competencies.
STEM Next Opportunity Fund is committed to ensuring that every child – especially girls, youth of color, kids in low-income communities, and youth with disabilities – has access to STEM experiences and the social capital that lead to greater opportunities in academics and careers. We believe family engagement is a game changer and offer this white paper to raise awareness of its importance and amplify promising practices.
Informal science learning (ISL) organizations that are successful at providing meaningful science, technology, engineering, arts, and mathematics (STEAM) experiences for Latino children, youth, and their families share some common traits. They have leaders and staff who believe in the importance of developing culturally relevant models and frameworks that meet the needs and acknowledge the legacy of STEAM in Latino communities. Such organizations are willing to take risks to create experiences that are culturally meaningful, garner funding and implement programs by working closely with their
DATE:
TEAM MEMBERS:
Cheryl JuarezVerónika NúñezExploratorium
The Colleges of Science & Engineering and Graduate Education, and the Metro Academies College Success Program (Metro) at San Francisco State University in partnership with San Francisco Unified School District and the San Francisco Chamber of Commerce develop an integrated approach for computing education that overcomes obstacles hampering broader participation in the U.S. science, technology, engineering and mathematics (STEM) workforce. The partnership fosters a more diverse and computing-proficient STEM workforce by establishing an inclusive education approach in computer science (CS), information technology, and computer engineering that keeps students at all levels engaged and successful in computing and graduates them STEM career-ready.
Utilizing the collective impact framework maximizes the efficacy of existing regional organizations to broaden participation of groups under-educated in computing. The collective impact model establishes a rich context for organizational engagement in inclusive teaching and learning of CS. The combination of the collective impact model of social agency and direct engagements with communities yields unique insights into the views and experiences of the target population of students and serves as a platform for national scalable networks.
DATE:
-
TEAM MEMBERS:
Keith BowmanIlmi YoonLarry HorvathEric HsuJames Ryan
The CASE program served communities that are underrepresented in current museum audiences. CASE served both females and males from underrepresented minority groups, primarily African American, Latino, and Asian. The most frequent participants were younger than 20 years-old and African American. CASE succeeded in making informal science learning accessible in participating communities. CASE served a total of 10,971 individuals between September 2004 and December 2008. Across the five years, families in the eight participating sites had a grand total of 358 opportunities to attend science
The Youth Experiences in Science (YES) Project of the 4-H Center at UC, Davis will produce, pilot and evaluate an informal science education curriculum expressly designed for 5-9 year olds in school-age child care (SACC) settings. Seven thematic units will be developed (three in both English and Spanish versions), utilizing the basic design process and instructional model developed in the earlier SERIES Project. Each unit consists of engaging hands-on activities performed with inexpensive materials and incorporating home and neighborhood service applications. During the three years approximately 500 teenage volunteers will deliver the program to approximately 2,500 children through a network of existing SACC sites operated by 4-H and other community groups. Capitalizing on SACC settings, the program will collaborate with schools and reach out to parents through development of "Science Family Backpacks" and "Science Family Activity Nights." Program evaluation includes in-depth monitoring and use of multiple assessment instruments and measures at 25 selected sites. In addition to formative and summative evaluation, data will be available on parent involvement and the amount, nature, and durability of positive influences on participants' school science interest and success.