The Arctic Harvest-Public Participation in Scientific Research (which encompasses the Winterberry Citizen Science program), a four-year citizen science project looking at the effect of climate change on berry availability to consumers has made measurable progress advancing our understanding of key performance indicators of highly effective citizen science programs.
DATE:
TEAM MEMBERS:
Angela LarsonKelly KealyMakaela Dickerson
This report summarizes findings from the learning event and includes the two instruments developed as part of this project: The STEM Advocacy Survey which is a 36-item measure that includes four subscales that measure components of STEM Advocacy, including Value of STEM for Society, Knowledge of STEM Advocacy, STEM Advocacy Efficacy, and STEM Advocacy Identification; and the STEM Engagement Survey for Older Adults, a ten-item scale adapted for older populations from a previously developed instrument designed for youth (ActivationLab.org) measuring behavioral, cognitive, and affective
DATE:
TEAM MEMBERS:
Jennifer MangoldSarah OlsenCheryl BrewsterMatthew Cannady
resourceresearchMuseum and Science Center Exhibits
This is an overview of research to measure STEM Engagement and Advocacy of Older Adults (50+). This work explored findings from Design Challenges hosted for older adult learners and also resulted in survey instruments to be used for this population. It also outlines constructs that were developed to inform the research.
Informal STEM learning experiences (ISLEs), such as participating in science, computing, and engineering clubs and camps, have been associated with the development of youth’s science, technology, engineering, and mathematics interests and career aspirations. However, research on ISLEs predominantly focuses on institutional settings such as museums and science centers, which are often discursively inaccessible to youth who identify with minoritized demographic groups. Using latent class analysis, we identify five general profiles (i.e., classes) of childhood participation in ISLEs from data
DATE:
TEAM MEMBERS:
Remy DouHeidi CianZahra HazariPhilip SadlerGerhard Sonnert
We examined an approach to reaching audiences who may not ordinarily engage with science. Termed Guerilla Science, this approach blends elements of access, by removing barriers to participation by embedding science into unexpected places, with those of inclusion, by designing activities that speak to the learning identities of participants.
Kera Collective explored teachers’ and students’ experiences in Green-Wood Cemetery’s new Urban GreenSpace program focusing on environmental education.
Overview
In 2022, Kera Collective partnered with Green-Wood Cemetery to evaluate their new Urban GreenSpace program, which focused on environmental education programs for local middle school students.
As a new pilot program, we focused on exploring which aspects of the program were successful at supporting and expanding students’ interest and learning in environmental science as well as which aspects of the program might need to be
The National Network for Ocean and Climate Change Interpretation [NNOCCI] is a Community of Practice [CoP] dedicated to advancing the conversation on climate change, based on the principle that wide-scale training with proven communication techniques can change the national discourse around climate change to be more productive, creative, and solutions-focused.
NNOCCI CoP is a network of individuals and organizations in formal and informal education, the social sciences, climate sciences, and public policy. By 2018, the community represented more than 184 institutions in 38 states, and over
Mathematizing, Visualizing, and Power (MVP): Appalachian Youth Becoming Data Artists for Community Learning is a three-year Advancing Informal STEM Learning, Innovations and Development, project that focuses on community-centered data exploration catalyzed by youth. The project develops statistical artistry among young people in East Tennessee Appalachian communities and enables these youth to share their data visualizations with their communities to foster collective reflection and understanding. The creative work generated by the MVP project will be compelling in two ways, both as statistical art and as powerful statements giving voice to the experience of communities. Critical aspects of the MVP model include (1) youth learning sessions that position youth as owners of data and producers of knowledge and (2) Community Learning Events that support community learning as youth learning occurs. The MVP project has a primary focus on broadening the STEM participation of underrepresented communities of Appalachia. The project’s mission is to increase the learning and life outcomes of young people and communities of Appalachia by creating a meaningful foundation of data science and collective data exploration. The University of Tennessee partners with Pellissippi State Community College, Drexel University, and the Boys & Girls Club of the Tennessee Valley to bring together a convergent team of community members, practitioners, and professionals, with the expertise to carry out the project. The project will impact approximately 120 youth and 3800 of their East Tennessee community members. The research generated will inform how to engage community members in learning about community issues through the exploration of datasets relevant to participants.
The field of STEM education is in urgent need of knowledge about effective models to inspire community-based data exploration with young people as leaders in these efforts. The MVP project includes engaging youth with meaningful problems, building a discourse community with possibilities for action, re-positioning youth as knowledge producers within their own communities, leveraging linguistic and cultural resources of the youth participants and their communities, and implementing critical events that support substantial interaction between youth, community members, and the data visualizations. MVP builds on the idea that the design of data visualizations requires an understanding of both data science and artistic design. Research will inform the model of community engagement, examine data artists’ identities, and document community learning. The MVP model will be designed, developed, tested, and refined through three cycles of design-based research. The overarching research question guiding these cycles is: What affordances (and delimitations) related to identity and learning does the model provide for MVP Youth and community members? Data sources for the project include: fieldnotes, portfolios created by MVP Youth, youth pre/post interviews, observations of the learning sessions, a project documentary, surveys for youth and community members, interviews with community members, and audience feedback. The National Institute for STEM Evaluation and Research (NISER) will provide formative and summative evaluation about project activities. Formative feedback will be integrated into the ongoing research cycles. The research conducted will inform (1) the community learning model; (2) the integrated pedagogy and curriculum of the MVP Youth learning sessions that emphasize data science through design arts; and, (3) research on community learning and youth identity. Findings will be shared through conferences, academic and practitioner-focused journals, a video documentary, a Summit on Engaging Youth and Communities in Data, and a project website.
DATE:
-
TEAM MEMBERS:
Lynn HodgeElizabeth DyerJoy BertlingCarlye Clark