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
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TEAM MEMBERS:
Remy DouHeidi CianZahra HazariPhilip SadlerGerhard Sonnert
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. In this exploratory Change Makers project, the Concord Consortium will develop, test, and evaluate a citizen science program that leverages innovative technology, such that youth engage directly with energy issues through scientific inquiry. The project will create the Infrared Street View, a citizen science program that aims to produce a thermal version of Google's Street View using an affordable infrared camera attached to a smartphone. The infrared camera serves as a high-throughput data acquisition instrument that collects thousands of temperature data points each time a picture is taken. Youth will collect massive geotagged thermal data that have considerable scientific and educational value for visualizing energy usage and improving energy efficiency at all levels. The Infrared Street View program will provide a Web-based platform for youth and anyone interested in energy efficiency to view and analyze the aggregated data to identify possible energy losses. By sharing their scientific findings with stakeholders, youth will make changes to the way energy is being used. The project will start with school, public, and commercial buildings in selected areas where performing thermal scan of the buildings and publishing their thermal images for educational and research purposes are permitted by school leaders, town officials, and property owners. In collaboration with high schools and out-of-school programs in Massachusetts, this project will conduct pilot-tests with approximately 200 students.
To contribute to advancing learning, the study will probe three research questions: 1) Under what circumstances can technology bridge out-of-school and classroom science learning and improve learning on both sides? 2) To what extent can unobtrusive assessment based on data mining support research and evaluation of student learning in out-of-school settings? and 3) To what extent can instructional intelligence built into the app used in the program help students learn in out-of-school programs and improve the quality of data they contribute to the citizen science project? Data sources for investigating these questions include students' interaction data with the app logged behind the scenes and the images they have taken, as well as results based on traditional assessments from a small number of participants. Throughout the project, staff will widely disseminate project products and findings through the Internet, science fairs, conferences, publications, and partner networks. An eight-member Advisory Board consisting of cleantech experts, science educators, and educational researchers will oversee and evaluate this project.
The Jackprot is a didactic slot machine simulation that illustrates how mutation rate coupled with natural selection can interact to generate highly specialized proteins. Conceptualized by Guillermo Paz-y-Miño C., Avelina Espinosa, and Chunyan Y. Bai (New England Center for the Public Understanding of Science, Roger Williams University and the University of Massachusetts, Dartmouth), the Jackprot uses simplified slot-machine probability principles to demonstrate how mutation rate coupled with natural selection suffice to explain the origin and evolution of highly specialized proteins. The
This report was completed by the Program Evaluation Research Group at Endicott College in October 2013. It describes the outcomes and impacts of a four-year, NSF-funded project called Go Botany: Integrated Tools to Advance Botanical Learning (grant number 0840186). Go Botany focuses on fostering increased interest in and knowledge of botany among youth and adults in New England. This was being done through the creation of an online flora for the region, along with the development of related tools, including PlantShare, and a user-friendly interface for ‘smartphones’. In January 2012, the PI
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TEAM MEMBERS:
Judah LeblangNew England Wild Flower Society
The internet allows sharing of digital data, code, and research articles so that not only scientific results but also the underlying supports and the paths of reasoning are publicly available. It is an opportunity for the public to learn about and participate in “computational and data-driven” citizen science. Informal science educators and communities can facilitate citizen engagement in this work by creating learning experiences that give citizens the skills needed to gain entry into the data of their interest, by working with professional societies to find and create outlets for this study
Research shows that participation and interest in science starts to drop as youth enter high school. This is also the point when science becomes more complex and there is increased need for content knowledge, mathematics capability, and computer or computational knowledge. Evidence suggests that youth who participate in original scientific research are more likely to enter and maintain a career in science as compared to students who do not have these experiences. We know young people get excited by space science. This project (STEM-ID) is informed by previous work in which high school students were introduced to scientific research and contributed to the search for pulsars. Students were able to develop the required science and math knowledge and computer skills that enabled them to successfully participate. STEM-ID builds on this previous work with two primary goals: the replication of the local program into a distributed program model and an investigation of the degree to which authentic research experiences build strong science identities and research self-efficacies. More specifically the project will support (a) significant geographic expansion to institutions situated in communities with diverse populations allowing substantial inclusion of under-served groups, (b) an online learning and discovery environment that will support the participation of youth throughout the country via online activities, and (c) opportunities for deeper participation in research and advancement within the research community. This project is funded by the Advancing Informal STEM Learning (AISL) program which seeks to advance new approaches to, and understanding of, the design and development of STEM learning in informal environments. STEM-ID will serve 2000 high school youth and 200 high school teachers in afterschool clubs with support from 30 undergraduate and graduate students and 10 college/university faculty. Exploratory educational research will determine the broad mechanisms by which online activities and in-person and online peer-mentor teacher-scientist interactions influence science identity, self-efficacy, motivation, and career intentions, as well as a focused understanding of the mechanisms that influence patterns of participation. Youth will be monitored longitudinally through the first two years of college to provide an understanding of the long-term effects of out-of-class science enrichment programs on STEM career decisions. These studies will build an understanding of the best practices for enhancing STEM persistence in college through engagement in authentic STEM programs before youth get to college. In addition to the benefits of the education research, this program may lead participants to discover dozens of new pulsars. These pulsars will be used for fundamental advances such as for testing of general relativity, constraining neutron star masses, or detecting gravitational waves. The resulting survey will also be sensitive to transient signals such as sporadic pulsars and extragalactic bursts. This project provides a potential model for youth from geographical disparate places to participate in authentic research experiences. For providers, it will offer a model for program delivery with lower costs. Findings will support greater understanding of the mechanisms for participation in STEM. This work is being led by West Virginia University and the National Radio Astronomy Observatory. Participating sites include California Institute of Technology, Cornell University, El Paso Community College, Howard University, Montana State University, Penn State University, Texas Tech University, University of Vermont, University of Washington, and Vanderbilt University.
This report summarizes evaluative findings from a project titled “What Curiosity Sounds Like: Discovering, Challenging, and Sharing Scientific Ideas” (a.k.a.: “Discovery Dialogues”). The project, a Full-Scale development project funded by the National Science Foundation as part of its Advancing Informal Science Learning (AISL) program, explored new ways to actively engage both lay and professional audiences, and foster meaningful communication between scientists and the general public. Appendix includes survey and interview questions.