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).
One common barrier to STEM engagement by underserved and underrepresented communities is a feeling of disconnection from mainstream science. This project will involve citizen scientists in the collection, mapping, and interpretation of data from their local area with an eye to increasing STEM engagement in underrepresented communities. The idea behind this is that science needs to start at home, and be both accessible and inclusive. To facilitate this increased participation, the project will develop a network of stakeholders with interests in the science of coastal environments. Stakeholders will include members of coastal communities, academic and agency scientists, and citizen science groups, who will collectively and collaboratively create a web-based system to collect and view the collected and analyzed environmental information. Broader impacts include addressing the STEM barriers to those who reside in the coastal environment but who are underrepresented in STEM education, vocations and policy-making. These include tribal communities (racial and ethnic inclusion), fishery communities (inclusion of communities of practice), and rural communities without direct access to colleges or universities. This project will create a physical, a social, and a virtual, environment where all participants have an equal footing in the processes of "doing science" - the Coastal Almanac. The Almanac is simultaneously a network of individuals and organizations, and a web-based repository of coastal data collected through the auspices of the network. During the testing phase, the researchers will implement the "rules of engagement" through multiple interaction pathways in the growing Coastal Almanac network: increases in rigorous citizen science, development of specific community-scientist partnerships to collect and/or use Almanac data, development of K-12 programs to collect and/or use Almanac data. The proposed work will significantly scale up citizen science and community-based science programs on the West Coast, broadening participation by targeting members of coastal communities with limited access to mainstream science, including participants from non-STEM vocations, and Native Americans. The innovation of the Coastal Almanac is in allowing the process of deepening involvement in science, and through that process increasing agency of community members to be bona fide members of the science team, to evolve organically, in the manner dictated by community members and the situation, rather than a priori by the project team and mainstream science. The project has the potential in the long-term to increase participation in marine science education, workforce, and policy-making by underrepresented groups resident in the coastal environment. Contributions by project citizen scientists will also provide valuable data to mainstream science and to resource management efforts.
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TEAM MEMBERS:
Julia ParrishMarco HatchSelina Heppell
The knowledge deficit model with regard to the public has been severely criticized in the sociology of the public perception of science. However, when dealing with public decisions regarding scientific matters, political and scientific institutions insist on defending the deficit model. The idea that only certified experts, or those with vast experience, should have the right to participate in decisions can bring about problems for the future of democracies. Through a type of "topography of ideas", in which some concepts from the social studies of science are used in order to think about these
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TEAM MEMBERS:
Alessandro Luis PiolliMaria Conceicao da Costa
In August 2009, the Program Evaluation and Research Group (PERG) at Lesley University contracted with the project's PI at the University of New Hampshire (UNH) to evaluate My Dome: Defining the Computational and Cognitive Potential of Real Time Interactive Simulations in an Immersive Dome Environment, an NSF funded grant. The project focuses on creating interactive experiences in immersive virtual environments, and builds off previous work the PI and co PIs have done in developing films and immersive experiences in domes and traveling domes. The project includes staff from the Carnegie Museum