The University of Montana will create “Transforming Spaces” to foster a more inclusive, culturally responsive space for Missoula’s urban Indian population and to better meet the community’s needs. The project will explore cross-cultural, collaborative approaches to STEM and Native Science. In collaboration with Montana’s tribal communities, the museum’s education team and advisory groups will design and implement hands-on activities that engage visitors with Native Science. The project will engage tribal role models and partner with tribal elders to create a library of videos for tribal partners, K–12 schools, and organizations. The project will offer teachers professional development designed to fulfill the statewide mandate of Indian Education for All. The exhibit will connect Native and non-Native museum visitors, close opportunity and achievement gaps, and ensure that all Missoula children feel a sense of belonging in museums, higher education, and STEM.
The Harvard Museums of Science and Culture will improve the ability of middle school teachers to use museum-based digital resources to support classroom instruction aligned with state and national science standards. Working with advisory teachers from five collaborating school districts, the museum will co-create classroom activities, based on digital resources from its collections, along with associated teacher professional development programs at three sites across urban and rural Massachusetts. The project will provide schools with access to classroom-ready resources that successfully support student learning. Teachers will learn how to use these materials, integrate them into their teaching, and enhance their skills to teach science content and practice. External evaluators will assess the project's effectiveness by measuring teacher implementation of the digital resources in the classroom, requests for information and assistance, and changes in teachers' confidence and comfort levels.
Ruff Family Science is a project funded by the National Science Foundation (NSF) that aims to foster joint media engagement and hands-on science exploration among diverse, low-income parents and their 4- to 8-year-old children. Building on the success of the PBS series FETCH! with Ruff Ruffman, the project leverages FETCH’s funny and charismatic animated host, along with its proven approach to teaching science, to inspire educationally disadvantaged families to explore science together. The project is utilizing a research and design process to create resources that meet the needs of families
As part of its overall strategy to enhance learning in informal environments, the Advancing Informal STEM Learning (AISL) program funds innovative research, approaches and resources for use in a variety of settings. Informal STEM educational activities have proliferated widely in the US over the last 20 years. Additional research will further validate the long-term benefits of this mode of learning. Thus, elaborating the multitude of variables in informal learning and how those variables can be used for individual learning is yet to be defined for the circumstances of the learners. Thus, the primary objective of this work is to produce robust and detailed evidence to help shape both practice and policy for informal STEM learning in a broad array of common circumstances such as rural, urban, varying economic situations, and unique characteristics and cultures of citizen groups. Rather than pursuing a universal model of informal learning, the principal investigator will develop a series of comprehensive models that will support learning in informal environments for various demographic groups. The research will undertake a longitudinal mixed-methods approach of Out of School Time/informal STEM experiences over a five-year time span of data collection for youth ages 9-19 in urban, suburban, town, and rural communities. The evidence base will include data on youth experiences of informal STEM, factors that exert an influence on participation in informal STEM, the impact of participation on choices about educational pathways and careers, and preferences for particular types of learning activities. The quantitative data will include youth surveys, program details (e.g. duration of program, length of each program session, youth/facilitator ratio, etc.), and demographics. The qualitative data will include on-site informal interviews with youth and facilitators, and program documentation. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
Supported by the National Science Foundation, the Global Soundscapes! Big Data, Big Screens, Open Ears project employs a variety of informal learning experiences to present the physics of sound and the new science of soundscape ecology. The interdisciplinary science analyzes sounds over time in different ecosystems around the world. The major components of the Global Soundscapes project are an educator-led interactive giant-screen theater program and hands-on group activities. Multimedia Research, an independent evaluation firm, implemented a summative evaluation with low income, inner-city
This is an Early-concept Grant for Exploratory Research supporting research in Smart and Connected Communities. The research supported by the award is collaborative with research at the University of Colorado. The researchers are studying the use of technologies to enable communities to connect youth and youth organizations to effectively support diverse learning pathways for all students. These communities, the youth, the youth organizations, formal and informal education organizations, and civic organizations form a learning ecology. The DePaul University researchers will design and implement a smart community infrastructure in the City of Chicago to track real-time student participation in community STEM activities and to develop mobile applications for both students and adults. The smart community infrastructure will bring together information from a variety of sources that affect students' participation in community activities. These include geographic information (e.g., where the student lives, where the activities take place, the student transportation options, the school the student attends), student related information (e.g., the education and experience background of the student, the economic status of the student, students' schedules), and activity information (e.g., location of activity, requirements for participation). The University of Colorado researchers will take the lead on analyzing these data in terms of a community learning ecologies framework and will explore computational approaches (i.e., recommender systems, visualizations of learning opportunities) to improve youth exploration and uptake of interests and programs. These smart technologies are then used to reduce the friction in the learning connection infrastructure (called L3 for informal, formal, and virtual learning) to enable the student to access opportunities for participation in STEM activities that are most feasible and most appropriate for the student. Such a flexible computational approach is needed to support the necessary diversity of potential recommendations: new interests for youth to explore; specific programs based on interests, friends' activities, or geographic accessibility; or programs needed to "level-up" (develop deeper skills) and complete skills to enhance youths' learning portfolios. Although this information was always available, it was never integrated so it could be used to serve the community of both learners and the providers and to provide measurable student learning and participation outcomes. The learning ecologies theoretical framework and supporting computational methods are a contribution to the state of the art in studying afterschool learning opportunities. While the concept of learning ecologies is not new, to date, no one has offered such a systematic and theoretically-grounded portfolio of measures for characterizing the health and resilience of STEM learning ecologies at multiple scales. The theoretical frameworks and concepts draw together multiple research and application domains: computer science, sociology of education, complexity science, and urban planning. The L3 Connects infrastructure itself represents an unprecedented opportunities for conducting "living lab" experiments to improve stakeholder experience of linking providers to a single network and linking youth to more expanded and varied opportunities. The University of Colorado team will employ three methods: mapping, modeling, and linking youth to STEM learning opportunities in school and out of school settings in a large urban city (Chicago). The recommender system will be embedded into youth and parent facing mobile apps, enabling the team to characterize the degree to which content-based, collaborative filtering, or constraint based recommendations influence youth actions. The project will result in two measurable outcomes of importance to key L3 stakeholder groups: a 10% increase in the number of providers (programs that are part of the infrastructure) in target neighborhoods and a 20% increase in the number of youth participating in programs.
This is an Early-concept Grant for Exploratory Research supporting research in Smart and Connected Communities. The research supported by the award is collaborative with research at DePaul University. The researchers are studying the use of technologies to enable communities to connect youth and youth organizations to effectively support diverse learning pathways for all students. These communities, the youth, the youth organizations, formal and informal education organizations, and civic organizations form a learning ecology. The DePaul University researchers will design and implement a smart community infrastructure in the City of Chicago to track real-time student participation in community STEM activities and to develop mobile applications for both students and adults. The smart community infrastructure will bring together information from a variety of sources that affect students' participation in community activities. These include geographic information (e.g., where the student lives, where the activities take place, the student transportation options, the school the student attends), student related information (e.g., the education and experience background of the student, the economic status of the student, students' schedules), and activity information (e.g., location of activity, requirements for participation). The University of Colorado researchers will take the lead on analyzing these data in terms of a community learning ecologies framework and will explore computational approaches (i.e., recommender systems, visualizations of learning opportunities) to improve youth exploration and uptake of interests and programs. These smart technologies are then used to reduce the friction in the learning connection infrastructure (called L3 for informal, formal, and virtual learning) to enable the student to access opportunities for participation in STEM activities that are most feasible and most appropriate for the student. Such a flexible computational approach is needed to support the necessary diversity of potential recommendations: new interests for youth to explore; specific programs based on interests, friends' activities, or geographic accessibility; or programs needed to "level-up" (develop deeper skills) and complete skills to enhance youths' learning portfolios. Although this information was always available, it was never integrated so it could be used to serve the community of both learners and the providers and to provide measurable student learning and participation outcomes. The learning ecologies theoretical framework and supporting computational methods are a contribution to the state of the art in studying afterschool learning opportunities. While the concept of learning ecologies is not new, to date, no one has offered such a systematic and theoretically-grounded portfolio of measures for characterizing the health and resilience of STEM learning ecologies at multiple scales. The theoretical frameworks and concepts draw together multiple research and application domains: computer science, sociology of education, complexity science, and urban planning. The L3 Connects infrastructure itself represents an unprecedented opportunities for conducting "living lab" experiments to improve stakeholder experience of linking providers to a single network and linking youth to more expanded and varied opportunities. The University of Colorado team will employ three methods: mapping, modeling, and linking youth to STEM learning opportunities in school and out of school settings in a large urban city (Chicago). The recommender system will be embedded into youth and parent facing mobile apps, enabling the team to characterize the degree to which content-based, collaborative filtering, or constraint based recommendations influence youth actions. The project will result in two measurable outcomes of importance to key L3 stakeholder groups: a 10% increase in the number of providers (programs that are part of the infrastructure) in target neighborhoods and a 20% increase in the number of youth participating in programs.
People of color who live in low income, urban communities experience lower levels of educational attainment than whites and continue to be underrepresented in science at all educational and professional levels. It is widely accepted that this underrepresentation in science is related, not only to processes of historical exclusion and racism, but to how science is commonly taught and that investigating authentic, relevant science questions can improve engagement and learning of underrepresented students. Approaching science in these ways, however, requires new teaching practices, including ways of relating cross-culturally. In addition to inequity in science and broader educational outcomes, people of color from low income, urban communities experience high rates of certain health problems that can be directly or indirectly linked to mosquitoes. Recognizing that undertaking public health research and preventative outreach efforts in these communities is challenging, there is a critical need for an innovative approach that leverages local youth resources for epidemiological inquiry and education. Such an approach would motivate the pursuit of science among historically-excluded youth while, additionally, involving pre-service, in-service, and informal educators in joint participatory inquiry structured around opportunities to learn and practice authentic, ambitious science teaching and learning.
Our long-term goal is to interrupt the reproduction of educational and health disparities in a low-income, urban context and to support historically-excluded youth in their trajectories toward science. This will be accomplished through the overall objective of this project to promote authentic science, ambitious teaching, and an orientation to science pursuits among elementary students participating in a university-school-community partnership promise program, through inquiry focused on mosquitoes and human health. The following specific aims will be pursued in support of the objective:
1. Historically-excluded youth will develop authentic science knowledge, skills, and dispositions, as well as curiosity, interest, and positive identification with science, and motivation for continued science study by participating in a scientific community and engaging in the activities and discourses of the discipline. Teams of students and educators will engage in community-based participatory research aimed at assessing and responding to health and well-being issues that are linked to mosquitoes in urban, low-income communities. In addition, the study of mosquitoes will engage student curiosity and interest, enhance their positive identification with science, and motivate their continued study.
2. Informal and formal science educators will demonstrate competence in authentic and ambitious science teaching and model an affirming orientation toward cultural diversity in science. Pre-service, in-service, and informal educators will participate in courses and summer institutes where they will be exposed to ambitious teaching practices and gain proficiency, through reflective processes such as video study, in adapting traditional science curricula to authentic science goals that meet the needs of historically excluded youth.
3. Residents in the community will display more accurate understandings and transformed practices with respect to mosquitoes in the urban ecosystem in service of enhanced health and well-being. Residents will learn from an array of youth-produced, culturally responsive educational materials that will be part of an ongoing outreach and prevention campaign to raise community awareness of the interplay between humans and mosquitoes.
These outcomes are expected to have an important positive impact because they have potential for improving both immediate and long-term educational and health outcomes of youth and other residents in a low-income, urban community.
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TEAM MEMBERS:
Katherine Richardson BrunaLyric Colleen Bartholomay
The dramatic decline in youth interest in science, technology, engineering and mathematics (STEM) during adolescence, both in the USA and internationally, has been a phenomenon of societal concern for several decades. The Synergies project was launched to help deal with this issue. In this paper, we report findings from the first two years of our longitudinal survey research. We sought to understand the nature of the STEM-related interests of 10-/11-year-old youth living in a single urban community and the factors that seem to influence whether these various dimensions of interest increase
In 2009, NSF funded development of Model My Watershed (MMW), a place-based, watershed cyber-modeling tool for middle and high school students and teachers. The online learning tool encourages students to investigate their neighborhoods and use scientific reasoning with real-world decision-making models similar to those used by STEM professionals to simulate systems and analyze processes. The project also sought to increase youth interest in possible opportunities in the STEM workforce and to aid in development of knowledge about earth science. This summary represents the first of a two-phase
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TEAM MEMBERS:
Stroud Water Research CenterJohn Fraser
What are students' mental models of the environment? In what ways, if any, do students' mental models vary by grade level or community setting? These two questions guided the research reported in this article. The Environments Task was administered to students from 25 different teacher-classrooms. The student responses were first inductively analyzed in order to identify students' mental models of the environment. The second phase of analysis involved the statistical testing of the identified mental models. From this analysis four mental models emerged: Model 1, the environment as a place
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TEAM MEMBERS:
Daniel ShepardsonBryan WeeMichelle PriddyJon Harbor
Science education researchers increasingly focus on the use of controversial science topics in the classroom to prepare students to make personal and societal decisions about these issues. However, researchers infrequently investigate the diverse ways in which students learn about controversial science topics outside the classroom, and how these interact with school learning. Therefore, this study uses qualitative, ethnographic research methods to investigate how 20 high school students attending a New York City public school learn about a particular controversial science topic-HIV/AIDS-in
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TEAM MEMBERS:
Jennie BrotmanFelicia Moore MensahNancy Lesko