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.
This poster was presented at the 2021 NSF AISL Awardee Meeting.
Collaborative robots – cobots – are designed to work with humans, not replace them. What learning affordances are created in educational games when learners program robots to assist them in a game instead of being the game? What game designs work best?
The independent evaluation firm Knight Williams, Inc. conducted a formative evaluation during Year 2 of the SciGirls CONNECT2 program in order to gather information about the partner educators’ use of, reflections on, and recommendations relating to the draft updated SciGirls Strategies. The evaluation aimed for two educators from each of 14 partner organizations – specifically the program leader and one educator who was familiar with the original SciGirls Seven – to provide reflections on their use of the draft SciGirls Strategies in their programs through an online survey and follow-up
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 of soundscape ecology 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 show, group activities, and websites. All components are designed with both sighted and visually impaired students in mind. Multimedia
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
Public Participation in Scientific Research (PPSR), often referred to as crowdsourcing or citizen science, engages participants in authentic research, which both advances science discovery as well as increases the potential for participants' understanding and use of science in their lives and careers. This four year research project examines youth participation in PPSR projects that are facilitated by Natural History Museums (NHMs). NHMs, like PPSR, have a dual focus on scientific research and science, technology, engineering, and mathematics (STEM) education. The NHMs in this project have established in-person and online PPSR programs and have close ties with local urban community-based organizations. Together, these traits make NHMs appropriate informal learning settings to study how young people participate in PPSR and what they learn. This study focuses on three types of PPSR experiences: short-term outdoor events like bioblitzes, long-term outdoor environmental monitoring projects, and online PPSR projects such as crowdsourcing the ID of field observations. The findings of this study will be shared through PPSR networks as well as throughout the field in informal STEM learning in order to strength youth programming in STEM, such that youth are empowered to engage in STEM research and activities in their communities. This project is funded through Science Learning+, which is an international partnership between the National Science Foundation (NSF) and the Wellcome Trust with the UK Economic and Social Research Council. The goal of this joint funding effort is to make transformational steps toward improving the knowledge base and practices of informal STEM experiences. Within NSF, Science Learning+ is part of the Advancing Informal STEM Learning (AISL) program that seeks to enhance learning in informal environments and to broaden access to and engagement in STEM learning experiences.
The study employs observations, surveys, interviews, and learning analytics to explore three overarching questions about youth learning: 1) What is the nature of the learning environments and what activities do youth engage in when participating in NHM-led PPSR? 2) To what extent do youth develop three science learning outcomes, through participation in NHM-led citizen science programs? The three are: a) An understanding of the science content, b) identification of roles for themselves in the practice of science, and c) a sense of agency for taking actions using science? 3) What program features and settings in NHM-led PPSR foster these three science learning outcomes among youth? Based on studies occurring at multiple NHMs in the US and the UK, the broader impact of this study includes providing research-based recommendations for NHM practitioners that will help make PPSR projects and learning science more accessible and productive for youth. This project is collaboration between education researchers at University of California, Davis and Open University (UK), and Oxford University (UK) and citizen science practitioners, educators, and environmental scientists at three NHMs in the US and UK: NHM London, California Academy of Sciences, and NHM Los Angeles.
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.
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
This briefing paper reports findings from the Youth Access & Equity in Informal Science Learning (ISL) project,
a UK-US researcher-practitioner partnership funded by the Science Learning+ scheme. Our project focuses on young people aged 11-14 primarily from under-served and non-dominant communities and includes researchers and practitioners from a range of ISL settings: designed spaces (e.g. museums, zoos), community-based (e.g. after school clubs) and everyday science spaces (e.g. science media).