Informal learning institutions (ILIs) create opportunities to increase public understanding of science and promote increased inclusion of groups underrepresented in Science, Technology, Engineering, and Math (STEM) careers but are not equally distributed across the United States. We explore geographic gaps in the ILI landscape and identify three groups of underserved counties based on the interaction between population density and poverty percentage. Among ILIs, National Park Service lands, biological field stations, and marine laboratories occur in areas with the fewest sites for informal
Informal STEM field trip programming is a large, yet under-researched area of the education landscape. Informal STEM education providers are often serving a more privileged section of society, leading to a risk of perpetuating inequalities seen throughout the education landscape. In an attempt to address the lack of research, this thesis explores the relationship between educational equity and informal STEM field trips. The intention was to collect data using a critical ethnography approach to the methods of qualitative questionnaire and interviews of informal STEM educators. A change in
The RASOR project is designed to increase engagement of students from rural Alaska communities in biomedical/STEM careers. Rural Alaskan communities are home to students of intersecting identities underrepresented in biomedical science, including Alaska Native, low-income, first generation college, and rural. Geographic isolation defines these communities and can limit the exposure of students to scientifically-minded peers, professional role models, and science career pathways. However these students also have a particularly strong environmental connection through subsistence and recreational activities, which makes the one-health approach to bio-medicine an intuitive and effective route for introducing scientific research and STEM content. In RASOR, we will implement place-based mentored research projects with students in rural Alaskan communities at the high school level, when most students are beginning to seriously consider career paths. The biomedical one-health approach will build connections between student experiences of village life in rural Alaska and biomedical research. Engaging undergraduate students in research has proved one of the most successful means of increasing the persistence of minority students in science (Kuh 2008). Furthermore, RASOR will integrate high school students into community-based participatory research (Israel et al. 2005). This approach is designed to demonstrate the practicality of scientific research, that science has the ability to support community and cultural priorities and to provide career pathways for individual community members. The one-health approach will provide continuity with BLaST, an NIH-funded BUILD program that provides undergraduate biomedical students with guidance and support. RASOR will work closely with BLaST, implementing among younger (pre-BLaST) students approaches that have been successful for retaining rural Alaska students along STEM pathways and tracking of post-RASOR students. Alaska Native and rural Alaska students are a unique and diverse population underrepresented in biomedical science and STEM fields.
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. The project will collaboratively design, test and study effective and efficient ways to develop embedded assessments (EAs) of citizen science (CS) volunteer scientific inquiry skills in order to better understand the impact of these CS experiences on volunteer scientific inquiry abilities. EAs are assessment activities that are integrated into the learning experience and allow learners to demonstrate their competencies in an unobtrusive way. The acquisition of scientific inquiry skills is an essential, even defining, characteristic of citizen science experiences that has a direct influence on data quality. Methods for assessing the direct impact of CS on volunteers' scientific inquiry skills are limited. The project will result in EA measures designed for use by diverse CS projects, strategies that CS projects can use to develop EA assessment tools, and research findings that document opportunities, supports and barriers of this innovative method across a range of CS contexts. Findings and initial resources will be shared with the broad array of stakeholders in CS through conferences, workshops, peer-reviewed publication, community websites and other relevant venues. The results of this work also have the potential to generalize to other informal science learning experiences that engage the public in science The project will address two research questions: (1) What processes are useful for developing broadly applicable EA methods or measures? and (2) What can we learn about gains in volunteers' scientific inquiry skills when citizen science organizations use EA? These will be addressed through design-based research focused on two streamlining strategies. For the reframing data validation strategy, six leaders from five established citizen science projects will conduct secondary analyses of their existing databases to uncover the skill gains of CS volunteers that are currently unexplored in their data. For the common measure strategy, ten CS projects will collaborate to create and test common EA measures of select identification-based skills. Data will be gathered through meeting notes, participant interviews and action plans, and volunteer skill gains to capture process and products of each strategy. Data will be analyzed using grounded theory, multiple process techniques, multilevel models, and repeated-measures analysis of variance. The design-based-research framework will significantly expand project impacts by jump-starting evaluation of the participating CS projects and by producing initial resources for two distinct EA strategies that have the potential to dramatically alter practice and impact citizen science efforts to ultimately enable more people to learn by contributing to the science endeavor. The project will directly equip the 15 participating citizen-science projects with authentic performance tools to assess the quality of their programing, which will expand their understanding of CS volunteer skills and help them better recruit and support their varied audiences (including rural, low-income and tribal communities).