Campaigns by zoos, aquariums, and other civil society organizations are an important tool for promoting social changes that benefit the environment. Here, we evaluate a global biodiversity education campaign's impact through a repeated-measures survey of nearly 5000 visitors to 20 zoos and aquariums located in 14 countries. By comparing visitors’ pre- and post-visit responses combined across respondents, we found significant aggregate improvements in their biodiversity understanding and their knowledge of actions to help protect biodiversity. Respondents who reported seeing the education
Scientific institutions are increasingly embracing values of inclusivity and public engagement, but how do these two dimensions intersect? Science festivals have rapidly expanded in recent years as an outgrowth of these values, aiming to engage and educate the public about scientific topics and research. While resources invested in public engagement by scientists, universities, and governments are admirable in principle; this study indicates that their ambition to broaden the reach of science may be going unrealized in practice. Using data from three major UK science festivals, we demonstrate
The FIRST Longitudinal Study is a multi-year longitudinal study assessing the impacts of FIRST’s afterschool robotics programs on the STEM related interests and educational and career trajectories of program participants. FIRST is one of the nation’s largest after-school robotics programs, serving more than 460,000 youth aged 6-18 annually through the FIRST LEGO League (Ages 7-14), the FIRST Tech Challenge (grades 7-12) and the FIRST Robotics Competition (grades 9-12). The study is tracking over 1200 program participants and comparison students, using a quasi-experimental design, over a
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TEAM MEMBERS:
Alan MelchiorCathy BurackMatthew HooverJill Marcus
A majority of Americans rely on general outlets for science news but more say specialty sources get the facts right about science. This report presents findings from a survey conducted among a nationally representative sample of 4000+ adults from May 30-June 12, 2017. The survey asked about a range of issues from how the public encounters science news and assesses what and who to trust to other ways that people engage with science information in everyday life, including participation in citizen science research projects, hobbies, and consumption of entertainment programming built around
Citizen science is public participation in research and scientific endeavors. Different models are proliferating across various disciplines. Citizens volunteer as data collectors in science projects, collaborate with scientific experts on research design, and actively lead and carry out research. The last form of citizen science, in which citizens exert a high degree of control and ownership over scientific activities, tends to be action-oriented, with research conducted to support interventional activities or policy change. We call this form community citizen science, and it can be of
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TEAM MEMBERS:
Ramya ChariLuke MatthewsMarjory BlumenthalAmanda EdelmanTherese Jones
This longitudinal research study will contribute to a broader understanding of the pathways of STEM-interested high school students from underrepresented groups who plan to pursue or complete science studies in their post-high school endeavors. The project will investigate the ways that formative authentic science experiences may support youth's persistence in STEM. The study focuses on approximately 900 urban youth who are high interest, high potential STEM students who participate in, or are alumni of, the Science Research Mentoring Program. This program provides intensive mentoring for high school youth from groups underrepresented in STEM careers. It takes place at 17 sites around New York City, including American Museum of Natural History, which is the original program site. Identifying key supports and obstacles in the pathways of high-interest, under-represented youth towards STEM careers can help practitioners design more inclusive and equitable STEM learning experiences and supports. In this way, the project will capitalize on student interest so that students with potential continue to persist.
In order to understand better the factors that influence these students, this research combines longitudinal social network and survey data with interviews and case studies, as well as an analysis of matched student data from New York City Public Schools' records. The research questions in the study are a) how do youths' social networks develop through their participation in scientists' communities of practice? b) what is the relationship between features of the communities of practice and youths' social networks, measures of academic achievement, and youths' pursuit of a STEM major? and c) what are the variations in youth pathways in relationship to learner characteristics, composition of social networks, and features of the community of practice? The research design allows for a rich, layered perspective of student pathways. In particular, by employing social network analysis, this study will reveal relational features of persistence that may be particularly critical for underrepresented youth, for whom STEM role models and cultural brokers provide an otherwise unavailable sense of belonging and identity in STEM. The study will also access a New York City Public Schools data set comprised of student-level records containing biographical and demographic variables, secondary and postsecondary course enrollment and grades, exam scores, persistence/graduation indicators, linked responses to post-secondary surveys, and post-education employment records and wages. These data enable examination of inter-relationships between in-school achievement and out-of-school STEM experiences through comparison of program participants to similar non-participant peers. This project is supported by NSF's EHR Core Research (ECR) program. The ECR program emphasizes fundamental STEM education research that generates foundational knowledge in the field.
In order to improve science, technology, mathematics, and engineering (STEM) learning, it is crucial to better understand the informal experiences that young children have that prepare them for formal science education. Young children are naturally curious about the world around them, and research in developmental psychology shows that families often support children in exploring and seeking explanations for scientific phenomena. It is less clear how to link children's natural curiosity and everyday parent-child interaction with more formal STEM learning. This collaborative project will team researchers from the University of California, Santa Cruz, the University of Texas, and Brown University with informal learning practitioners at the Children's Discovery Museum, The Thinkery, and the Providence Children's Museum in order to investigate how family interaction relates to children's causal learning, as well as how modifications to museum exhibit design and facilitation by museum staff influence families' styles of interaction and increase children's causal learning. This project is funded by the Research on Education and Learning (REAL) program which supports fundamental research by investigators from a range of disciplines in order to deepen what is known about STEM learning.
The project team will examine how ethnically and linguistically diverse samples of parents and children engage in collaborative scientific learning in three children's museums across the U.S. The research will combine observational studies of parent-child interaction in a real-world setting with experimental measures of children's causal learning. The investigators will examine how children explore and derive explanations for museum exhibits about mechanical gear function and fluid dynamics. In this way, the researchers will investigate the relation between styles of parent-child interaction and children's causal learning. The team will also investigate novel ways of presenting material within the exhibits to facilitate exploration and explanation. They will explore how signage, conversations with museum staff, parents' attitudes towards learning in museum settings, and parents' own prior knowledge about the exhibits can influence the parent-child interaction and subsequent causal learning. The project will advance the basic research goal of advancing what is known about what affects children's science content learning. It will also advance the practice-oriented goal of developing new strategies for the design of science museum exhibits and make recommendations for how parents can better talk to their children about scientific phenomena.
The Growing Beyond Earth Project (GBE) is a STEM education program designed to have middle and high school students conduct botany experiments, designed in partnership with NASA researchers at Kennedy Space Center, that support NASA research on growing plants in space. GBE was initiated by Fairchild Tropical Botanic Garden in collaboration with NASA's Exploration Research and Technology Programs and Miami-Dade County Public School District. Project goals are to: (1) improve STEM instruction in schools by providing authentic research experiments that have real world implications through curricular activities that meet STEM education needs, comprehensive teacher training, summer-long internships and the development of replicable training modules; (2) increase and sustain youth and public engagement in STEM related fields; (3) better serve groups historically underrepresented in STEM fields; and (4) support current and future NASA research by identifying and testing new plant varieties for future growth in space. During the 2016-17 academic year, 131 school classrooms participated in the program. To date, students have tested 91 varieties of edible plants and produced more than 100,000 data points that have been shared with the researchers at KSC.
The Cyberlearning and Future Learning Technologies Program funds efforts that will help envision the next generation of learning technologies and advance what we know about how people learn in technology-rich environments. Cyberlearning Exploration (EXP) Projects explore the viability of new kinds of learning technologies by designing and building new kinds of learning technologies and studying their possibilities for fostering learning and challenges to using them effectively. This project brings together two approaches to help K-12 students learn programming and computer science: open-ended learning environments, and computer-based learning analytics, to help create a setting where youth can get help and scaffolding tailored to what they know about programming without having to take tests or participate in rigid textbook exercises for the system to know what they know.
The project proposes to use techniques from educational data mining and learning analytics to process student data in the Alice programming environment. Building on the assessment design model of Evidence-Centered Design, student log data will be used to construct a model of individual students' computational thinking practices, aligned with emerging standards including NGSS and research on assessment of computational thinking. Initially, the system will be developed based on an existing corpus of pair-programming log data from approximately 600 students, triangulating with manually-coded performance assessments of programming through game design exercises. In the second phase of the work, curricula and professional development will be created to allow the system to be tested with underrepresented girls at Stanford's CS summer workshops and with students from diverse high schools implementing the Exploring Computer Science curriculum. Direct observation and interviews will be used to improve the model. Research will address how learners enact computational thinking practices in building computational artifacts, what patters of behavior serve as evidence of learning CT practices, and how to better design constructionist programming environments so that personalized learner scaffolding can be provided. By aligning with a popular programming environment (Alice) and a widely-used computer science curriculum (Exploring Computer Science), the project can have broad impact on computer science education; software developed will be released under a BSD-style license so others can build on it.
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TEAM MEMBERS:
Shuchi GroverMarie BienkowskiJohn Stamper
Increasingly, the prosperity, innovation and security of individuals and communities depend on a big data literate society. Yet conspicuously absent from the big data revolution is the field of teaching and learning. The revolution in big data must match a complementary revolution in a new kind of literacy, through a significant infusion of STEM education with the kinds of skills that the revolution in 21st century data-driven science demands. This project represents a concerted effort to determine what it means to be a big data literate citizen, information worker, researcher, or policymaker; to identify the quality of learning resources and programs to improve big data literacy; and to chart a path forward that will bridge big data practice with big data learning, education and career readiness.
Through a process of inquiry research and capacity-building, New York Hall of Science will bring together experts from member institutions of the Northeast Big Data Innovation Hub to galvanize big data communities of practice around education, identify and articulate the nature and quality of extant big data education resources and draft a set of big data literacy principles. The results of this planning process will be a planning document for a Big Data Literacy Spoke that will form an initiative to develop frameworks, strategies and scope and sequence to advance lifelong big data literacy for grades P-20 and across learning settings; and devise, implement, and evaluate programs, curricula and interventions to improve big data literacy for all. The planning document will articulate the findings of the inquiry research and evaluation to provide a practical tool to inform and cultivate other initiatives in data literacy both within the Northeast Big Data Innovation Hub and beyond.
Historically sharks have been seen either as a source of income through harvesting, or as a nuisance and danger. The economic value of sharks has traditionally been measured as the total value of sharks caught for liver oil, fins, or meat for consumption. Sharks have also been killed to near extinction in cases where they were seen as a threat to fisheries on other species. This is illustrated by the mass extermination of Basking Sharks (Cetorhinus maximus) in British Columbia. They were seen as a nuisance to fishermen as they got entangled in gill nets during the salmon fishing season
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TEAM MEMBERS:
Peter MierasChris Harvey-ClarkMichael BearGina HodginBoone Hodgin