This paper contains an overview of the programmes currently existing in Latin America to train science communicators. For such purpose, only postgraduate courses held regularly were considered in the study. Twenty-two programmes meeting such requirement were identified in five countries, 65% of which were in fact established over the past ten years. They present a lot of diversity in terms of admittance requirements, goals, contents, approaches, duration and graduation requirements. However, all of them share the same effort, aiming to offer specific contents in the area of science
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TEAM MEMBERS:
Luisa MassaraniElaine ReynosoSandra MurrieloAyelen Castillo
According to the Harvard Family Research Project (2010), schools need collaborative partners to help children and youth thrive. For over a decade, afterschool programs have been positioning themselves as viable partners. After all, afterschool programs challenge students’ thinking, teach collaboration, and help children and youth find their passion.
This project was submitted in response to EHR Core Research (ECR) program announcement NSF 15-509. The ECR program of fundamental research in STEM education provides funding in critical research areas that are essential, broad and enduring. EHR seeks proposals that will help synthesize, build and/or expand research foundations in the following focal areas: STEM learning, STEM learning environments, STEM workforce development, and broadening participation in STEM. The ECR program is distinguished by its emphasis on the accumulation of robust evidence to inform efforts to (a) understand, (b) build theory to explain, and (c) suggest interventions (and innovations) to address persistent challenges in STEM interest, education, learning, and participation.
In 2015, average mathematics scores on the National Assessment of Educational Progress (NAEP) declined in fourth and eighth grades, the first declines in mathematics at these grade levels since 1990. Declines in U.S. mathematics performance has important implications for overall STEM education as well as STEM workforce and international competitiveness. Researchers at Rutgers University will conduct an analysis to isolate the cause of the mathematics decline by investigating the dimensionality of the NAEP assessment, state-level outcomes, and demographic trends.
The team will use multilevel item response theory modeling techniques to investigate the declines by examining the factor structures to determine dimensionality across years. Researchers will examine subscores corresponding to each dimension of the factor structure at the state and national levels. In addition, subscores will be examined for trends in individual states and jurisdictions. Potentially, the analyses will allow for examination of factors related to state standards adoptions, demographic shifts, and participation rates.
Changes in household-level actions in the U.S. have the potential to reduce rates of greenhouse gas (GHG) emissions and climate change by reducing consumption of food, energy and water (FEW). This project will identify potential interventions for reducing household FEW consumption, test options in participating households in two communities, and collect data to develop new environmental impact models. It will also identify household consumption behavior and cost-effective interventions to reduce FEW resource use. Research insights can be applied to increase the well-being of individuals at the household level, improve FEW resource security, reduce climate-related risks, and increase economic competitiveness of the U.S. The project will recruit, train, and graduate more than 20 students and early-career scientists from underrepresented groups. Students will be eligible to participate in exchanges to conduct interdisciplinary research with collaborators in the Netherlands, a highly industrialized nation that uses 20% less energy and water per person than the U.S.
This study uses an interdisciplinary approach to investigate methods for reducing household FEW consumption and associated direct and indirect environmental impacts, including GHG emissions and water resources depletion. The approach includes: 1) interactive role-playing activities and qualitative interviews with homeowners; 2) a survey of households to examine existing attitudes and behaviors related to FEW consumption, as well as possible approaches and barriers to reduce consumption; and 3) experimental research in residential households in two case-study communities, selected to be representative of U.S. suburban households and appropriate for comparative experiments. These studies will iteratively examine approaches for reducing household FEW consumption, test possible intervention strategies, and provide data for developing systems models to quantify impacts of household FEW resource flows and emissions. A FEW consumption-based life cycle assessment (LCA) model will be developed to provide accurate information for household decision making and design of intervention strategies. The LCA model will include the first known farm-to-fork representation of household food consumption impacts, spatially explicit inventories of food waste and water withdrawals, and a model of multi-level price responsiveness in the electricity sector. By translating FEW consumption impacts, results will identify "hot spots" and cost-effective household interventions for reducing ecological footprints. Applying a set of climate and technology scenarios in the LCA model will provide additional insights on potential benefits of technology adoption for informing policymaking. The environmental impact models, household consumption tracking tool, and role-playing software developed in this research will be general purpose and publicly available at the end of the project to inform future education, research and outreach activities.
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TEAM MEMBERS:
David WatkinsBuyung AgusdinataChelsea SchellyRachael ShwomJenni-Louise Evans
This INSPIRE project addresses the issue of high volume hydraulic fracturing, also called fracking, and its effects on ground water resources. Fracking allows drillers to extract natural gas from shale deep within the earth. Methane gas sometimes escapes from shale gas wells and can contaminate water resources or leak into the atmosphere where it contributes to greenhouse gas emissions. Monitoring for these potential leaks is difficult because methane is also released into aquifers naturally, and because monitoring is time- and resource-intensive. Such subsurface leakage may also be relatively rare. This project seeks to improve overall understanding of the impacts of natural gas drilling using both advances in computer science and geoscience, and to teach the public about such impacts. The project will elucidate both the effects of human activities such as shale gas development as well as natural processes which release methane into natural waters. Results of the proposed research will lead to a better understanding of water quality in areas of shale-gas development and will highlight problems and potentially problematic management practices. The research will advance both the fields of geoscience and computer science, will train interdisciplinary graduate students, and involve citizen scientists in collecting data and understanding environmental data analysis.
The project combines new hydro-geochemical strategies and data mining approaches to study the release of methane into streams and ground waters. For example, researchers will explore how to analyze the heterogeneous spatial data that describe distributions of methane concentrations in natural waters. The objectives of this project are to i) transform the ability to measure methane in streams; ii) train citizen scientists to work with project scientists to sample streams in an area of shale-gas development and publish large-volume datasets of methane in natural waters and aquifers; iii) innovate data mining and machine learning methods for environmental data to identify anomalous spots with potential leakage; iv) run field campaigns to measure methane concentrations and isotopic signatures of water samples in these spots; v) foster dialogue among nonscientists, consultants, university scientists, members of the gas industry, government agencies, and nonprofit organizations in and beyond the target region. Toward this end, the team will host workshops aimed to build dialogue among stakeholders and will release data analytic software for environmental measurements to benefit a broader research community.
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.
This project will make synthetic biology activities accessible to high school students and teachers by providing them with an authentic but safe context to learn. These activities will also broaden their understanding and perspectives about how synthetic biology and bioengineering is used in personal, health, and food production contexts as well as raise their interest in STEM. The design of bioMAKERlab will generate an educational version of an existing professional-grade lab for synthetic biology to promote safe production, accessibility, and affordability for high schools and community colleges interested in integrating such wetlab activities into their curriculum.
Most current efforts to broaden access to maker activities for K-12 students have focused on developing collaborative fabrication workspaces (fablabs) involving 3D printers, laser cutters, and other digital and traditional tools. This project will develop and implement bioMAKERlab, an innovative wetlab starter kit and activities that will enable high school students and teachers to engage in synthetic biology by building genetic circuits that let microorganisms change color, smell, and shape. In synthetic biology, participants make their own DNA--gene by gene--and then grow their designs into real applications by inserting them into microorganisms to develop different traits and characteristics provided by the genes. The project will involve students from a Philadelphia public high school and young people participating in weekend workshops at The Franklin Institute, a Philadelphia-based science museum.
This project is a part of NSF's Maker Dear Colleague Letter portfolio (NSF 15-086), a collaborative investment of Directorates for Computer & Information Science & Engineering, Education and Human Resources, and Engineering.
This summative evaluation report details the Broad Implementation of the Living Laboratory model--an initiative to promote partnership between museums and cognitive science researchers in order to promote professional learning and involve the public in scientific research. The evaluation investigated the extent of the dissemination effort’s depth, spread, sustainability, and shift in ownership, based on Coburn’s criteria for scale-up (2003). Evaluators collected data from surveys, interviews, focus groups, document review, and observations. Findings about depth suggest that adopters fully
This project by California State University San Marcos and their collaborators will expand and continue to innovate on a pilot Mobile Making program with the goal of developing a sustainable, regional model for serving underserved, middle-school aged youth in twelve after-school programs in the San Diego region. Evaluation of the current Mobile Making program has documented positive impacts on participants' interest, self-efficacy, and perception of the relevance of Making/STEM in everyday life, and led to a model for engaging underserved youth in Making. The work will focus on implementing the program model sustainably at greater capacity by increasing the number of undergraduate activity leaders, after-school sites, and level of community engagement. The expanded Mobile Making program is expected to engage ~1800 middle school youth at 12 local school sites, with activities facilitated by ~1020 undergraduate CSU-SM STEM majors. The sites are in ethnically diverse and economically disadvantaged neighborhoods, with as many as 90% of students at some sites qualifying for free or reduced price lunch. The undergraduate facilitators are drawn from CSU-SM's diverse student body, which includes 44% underrepresented minorities. Outcomes are expected to include increases in the youth participants' interest, self-efficacy, and perception of the relevance of Making/STEM in everyday life. Positive impacts on the undergraduate facilitators will include broadened technical skills, increased leadership and 21st century skills, and increased lifelong interest in STEM outreach/informal science education. The program is designed to achieve sustainability through innovative means such as involving undergraduate facilitators via Community Service Learning (rather than paid positions), and increased community engagement via development and support of a community of practice including local after-school providers, teachers, Makers, and University members. Evaluation of the program outcomes and lessons learned are expected to result in a comprehensive model for a sustainable, university-based after-school Making program with regional impact in underserved communities. Dissemination to other regions will be leveraged via CSU-SM's membership in the California State University (CSU) system, yielding a potential statewide impact. The support of the CSU Chancellor's Office and input from a CSU implementation group will ensure the applicability of the model to other regional university settings, identify common structural barriers and solutions, and increase the probability of secondary implementations. This work is funded by the Advancing Informal STEM Learning (AISL) program, which seeks to advance new approaches to, and evidence-based understanding of, the design and development of STEM learning in informal environments.
The Wayne State University Math Corps is a mathematics enrichment and mentoring program that operates during summers and on Saturdays. The curriculum and the teach pedagogies in this informal learning program have documented success of supporting youths' mathematics learning as well as raising achievement levels in school. Through rigorous research and evaluation, this project seeks to analyze and understand the nature, extent, and reasons for Math Corps' success with youth learning in Detroit as well as the processes of program replication in three sites: Cleveland, OH; Utica, NY; and Philadelphia, PA. As such, this project will deepen understandings of program replication and of addressing the needs of youth in economically-challenged communities in order to promote mathematics learning.
The project's research studies will assess the multiple factors that make Math Corps successful with youth in Detroit and document the implementation of the program to the three replication sites. Research methods include discourse analyses, surveys, interviews, and pre/post-tests. The project will also conduct a retrospective evaluation of Math Corps based on quantitative datasets regarding both near-term and long-term youth outcomes.
This projects is funded by the Advancing Informal STEM Learning program, which seeks to advance new approaches to, and evidence-based understandings of, the design and development of STEM learning in informal environments.
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TEAM MEMBERS:
Steve KahnStephen ChrisomalisTodd KubicaCarol Philips-BeyFrancisca Richter
In this chapter we present the ways in which institutional cultural differences impact the development and implementation of learning activities in informal settings. Five university-based centers for the study of chemistry worked with informal learning professionals to re-envision educational and public outreach activities about science. The projects were part of a broader effort to catalyze new thinking and innovation in informal education and chemistry centers. The set of projects illustrates the broad possibilities for informal learning settings, with projects targeting diverse audiences