Using their imagination and creativity, inventors have made significant contributions to our world throughout the course of human history. In recent times, a growing community has responded to the need for more intensive research on Invention Education and within the last several years has begun organizing itself around collaborative action that will accelerate the uptake and practice of Invention Education. The purpose of this document is to provide a comprehensive community-driven framework and set of principles for Invention Education that can support its growth within formal and informal
This poster describes the Addressing Societal Challenges through STEM (ASCS) project. The project's research goal is to identify and describe the range of ways that informal STEM learning (ISL) institutions are addressing societal challenges and how STEM knowledge and scientific reasoning are situated in that engagement.
The poster was presented at the American Association of Museums (AAM) 2020 Virtual Conference.
Science learning occurs throughout people's lives, inside and outside of school, in formal, informal, and nonformal settings. While museums have long played a role in science education, learning in this and other informal settings has not been studied nor understood as deeply as in formal settings (i.e., schools and classrooms). This position paper, written by learning researchers in a science museum engaged in equity and access work, notes that while the researchers consider the ethics of their work regularly and deeply, little formal guidance exists for the ethical challenges they routinely
This AISL Pilots and Feasibility project will study the data science learning that takes place as members of the public explore and analyze open civic data related to their everyday lives. Government services, such as education, transportation, and non-emergency municipal requests, are becoming increasingly digital. Generally, program workshops and events may be able to support participants in using such data to answer their own questions, such as: "How do City agencies respond to noise in my neighborhood?" and "How do waste and recycling services in my neighborhood compare with others?" This project seeks to understanding how such programs are designed and facilitated to support diverse communities in accessing and meaningfully analyzing data will promote innovation and knowledge building in informal data science education. The team will begin by summarizing best practices in data science education from a variety of fields. Next they will explore the design and impacts of two programs in New York City, a leader in publicly available Open Data initiatives. This phase will explore activities and facilitation approaches, participants' objectives and data literacy skills practice, and begin to identify potential barriers to entry and levels of participation. Finally, the team will build capacity for other similar organizations to explore and understand their impacts on community members' engagement with civic data. This pilot study will establish preliminary evidence of the effectiveness of these programs, and in turn, inform future research into the identifying and amplifying best practices to support public engagement with data.
This research team will begin by synthesizing data science learning best practices based on varied literatures and surveys with academic and practitioner experts.
Synthesis results will be applied as a lens to gather preliminary evidence regarding the impacts of two programs on participants' data science practices and understanding of the nature of data in the context of civics. The programs include one offered by the Mayor's Office of Data Analytics (MODA), which is the NYC agency with overall responsibility for the City's Open Data programs, and BetaNYC, a leading nonprofit organization working to improve lives through civic design, technology, and engagement with government open data. The research design triangulates ethnographic observations and artifacts, pre and post adapted surveys, and interviews with participants and facilitators. Researchers will identify programmatic metrics and adapts existing measures to assess various outcomes related to public engagement with data, including: question formulation, data set selection and manipulation, the use of data to make inferences, and understanding variability, sampling and context. These metrics will be shared through an initial assessment framework for data science learning in the context of community engagement with civic open data. Researchers will also begin to identify barriers to broader participation through literature synthesis, interviews with participants and facilitators, and conversations with other organizations in our networks, such as NYC Community Boards. Findings will determine the suitability of the programs under study and inform future research to identify and amplify best practices in supporting public engagement with data.
This project is funded by the NSF Advancing Informal STEM Learning program, which 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.
This Pilots and Feasibility Studies 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.
The National Science Teachers Association will convene a conference that will bring together STEM researchers and practitioners to review the growing connected science learning movement. A connected science learning environment has been described as a robust science ecology containing a wide variety of programs, across a range of institutions and places, allowing youth different and multiple ways to engage with STEM. Such environments can include small partnerships, such as a science museum and K-12 schools, or a large, community-wide network of a variety of organizations such as K-12 schools, museums, universities, government agencies, and community organizations. The conference will bring together over forty participants, who will meet in a series of several online meetings. The conference will result in a series of papers, articles in the online Connected Science Learning journal and other publications, a series of webinars and online forums where participants can engage with themes identified in the conference, and conference presentations at the annual meetings of organizations including the National Science Teachers Association, the Association of Science-Technology Centers, and others. This award is funded by the Advanced Informal STEM Learning program which seeks to advance new approaches to, and evidence-based understanding of, the design and development of STEM learning in informal environments.
The conference will: (1) document the research foundation that supports and demonstrates the impact and value of high-quality connected science learning experiences; (2) identify areas for which future research is recommended; and (3) provide effective, practitioner-focused resources that advance connected STEM learning. The conference will include participants that represent a wide range of researchers and practitioners in informal and formal STEM education, as well as representing gender, racial/ethnic and geographical diversity. The results and products of the conference will be instrumental in developing the understanding and appreciation for connecting STEM learning and ultimately improving connected STEM learning for K-12 youth. The importance of emphasizing diversity, equity, and accessibility will be strongly represented in the key evidence identified through the conference and will be reflected in the resources that will be disseminated to a broader audience.
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.
In 2017, the Education Development Center (EDC) received a grant from the National Science Foundation (NSF) to bring together PIs of STEM Program Resource Centers (PRC) funded under NSF’s Education and Human Resources (EHR), evaluators of NSF STEM projects and programs, and evaluation advisors to address concerns about the quality and consistency of STEM evaluations. According to the grant proposal, the goal was “to increase the capacity of evaluators to produce high quality, conceptually sound, methodologically appropriate evaluations of NSF programs and projects, specifically in the area of
This webinar was presented by the NSF Education and Human Research (EHR) Department to describe a current funding opportunity, the EHR Core Research (ECR) program.
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TEAM MEMBERS:
Earnestine EasterGregg SolomonJolene Jesse
Few would argue that the national parks provide significant value to both the nation and the world. The question remains though, What is that value and how to measure it? Increasingly, a key indicator of this value is the learning that parks support. However, as we will discuss, even defining what is meant by educational value is challenging, let alone coming up with a park-specific set of metrics to measure this dimension of value of national parks.
The primary objective of this study is to document how people learn the science of the COVID-19 pandemic in real time, how they activate this scientific knowledge towards informed decision making, and how these processes change over time. This study is intended to produce additional insights on how such learning is shaped by equity concerns and contextual factors. For example, researchers will document how the ways in which people learn the science of COVID-19 are mediated by the sources of information they have access to and leverage, as well as what supports them in doing so. The research will further document how people leverage their understandings of COVID-19, alongside other forms of knowledge and concerns in their decision-making. This study may serve a crucial role in aiding the public understanding of where structural points of informational failure might occur. It may also reveal where and how the public engages or resists community action strategies to mitigate spread and suffering through when, how and why they gather, share, and make sense of scientific data. This RAPID was submitted in response to the NSF Dear Colleague letter related to the COVID-19 pandemic. This award is made by the AISL and ECR programs in the Division of Research on Learning, using funds from the Coronavirus Aid, Relief, and Economic Security (CARES) Act.
This research will draw upon a conceptual framework of consequential learning and a methodological framework of narrative inquiry. Sixty participants in Lansing, Michigan and Seattle, Washington will participate over the course of one year in cyclical interviews, focus group conversations and experience sampling approaches. Documents and resources named and used by the participants in their learning will be collected and analyzed. Attention will be paid to science learning in the following areas as the primary focus: a) the science of SARS-CoV-2 and the relationship between virus and disease, b) viral transmission, and c) origination, replication and spread. A key focus will also be how people use scientific data and evidence-based explanations when developing understandings and making decisions with respect to the pandemic. This research is urgent and timely because the COVID-19 pandemic is projected to occur in multiple waves over approximately 18 months. Insights may produce basic understanding about rapid science learning, policy strategies, school-based practices and resources for use within current and future waves. Socioscientific crises differentially impact people, with effects felt more significantly by vulnerable people. Thus, this study will address the urgent call for investigation into factors and experiences of low-income individuals and families who are trying to educate themselves on continually changing data during an international health crisis.
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.
Addressing Societal Challenges through STEM (ASCs) received NSF AISL funding to conduct a Literature Review and Synthesis to answer the question: How are informal learning institutions advancing the use of STEM knowledge and scientific reasoning in the ways that individuals, families, and communities understand what they can do, and apply their learning to solving the societal challenges of our time? Using a definition of societal challenges based on research around the public understanding of social problems, this systematic literature review will identify, analyze, and synthesize three bodies of peer and field-reviewed literature (peer-reviewed journals, graduate theses, and evaluation reports of nationally-funded project).
Over the past decade, Informal STEM learning organizations have increasingly engaged in innovative ways to present STEM knowledge within the context of societal challenges such as climate change, energy sources, cyber-security, Nanotechnologies, coastal resilience, and other topics. These efforts significantly expand the traditional work of Informal STEM Learning (ISL) organizations, often leading to new types of interventions, partnerships, impacts, and assessment tools. Analyzing and interpreting the aggregate of this work will advance theoretical and practical knowledge about the potential of ISL’s in advancing the place of STEM in addressing societal challenges.
Demonstrating and articulating the characteristics of how ISL organizations are addressing societal challenges, encourages and informs the ways institutions can address the NSF strategic goal to “Advance the capability of the Nation to meet current and future challenges.” The project outputs aim to Enhance Knowledge-building, Build Capacity of the Field, and Maximize Strategic Impact by informing the strategies used by organizations and individuals. The results also aim to Broaden Participation by articulating the ways STEM knowledge is embedded and linked to personal experiences and choices.
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.
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.