The American Museum of Natural History, in association with several NOAA entities, will be creating a suite of media products employing visualization of Earth-observation data as well as associated professional development programs to expand educational experiences in informal science institutions nationwide. Interactive versions of the visualizations will also be disseminated via the AMNH website. Visualization assets will be distributed to NOAA for utilization on climate.gov and Science on a Sphere. The creation of training programs and educational materials for informal education professionals will enhance the experience and efficacy of the data visualizations as tools to understand and build stewardship of Earth systems.
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.
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.
In August 2012, the National Museum of Natural History (NMNH) contracted with Audience Focus (AF), a Maryland-‐based research and evaluation organization, to evaluate visitors’ experiences with the Scientist Is In program. Specifically, AF was asked to design a comprehensive study that would provide insight into the nature of visitors’ engagement with the program, and how participation in the program influenced visitors’ understanding of and curiosity about science topics, awareness of science careers, perceptions of NMNH as a research institution, and recognition of the connections between
This poster was presented at the 2010 Association of Science-Technology Centers Annual Conference. The Saint Louis Science Center is a partner in Washington University's Cognitive, Computational, and Systems Neuroscience interdisciplinary graduate program funded by the NSF-IGERT (Integrative Graduate Education and Research Traineeship) flagship training program for PhD scientists and engineers.
This Integrative Graduate Education and Research Training (IGERT) award supports the establishment of an interdisciplinary graduate training program in Cognitive, Computational, and Systems Neuroscience at Washington University in Saint Louis. Understanding how the brain works under normal circumstances and how it fails are among the most important problems in science. The purpose of this program is to train a new generation of systems-level neuroscientists who will combine experimental and computational approaches from the fields of psychology, neurobiology, and engineering to study brain function in unique ways. Students will participate in a five-course core curriculum that provides a broad base of knowledge in each of the core disciplines, and culminates in a pair of highly integrative and interactive courses that emphasize critical thinking and analysis skills, as well as practical skills for developing interdisciplinary research projects. This program also includes workshops aimed at developing the personal and professional skills that students need to become successful independent investigators and educators, as well as outreach programs aimed at communicating the goals and promise of integrative neuroscience to the general public. This training program will be tightly coupled to a new research focus involving neuro-imaging in nonhuman primates. By building upon existing strengths at Washington University, this research and training initiative will provide critical new insights into how the non-invasive measurements of brain function that are available in humans (e.g. from functional MRI) are related to the underlying activity patterns in neuronal circuits of the brain. IGERT is an NSF-wide program intended to meet the challenges of educating U.S. Ph.D. scientists and engineers with the interdisciplinary background, deep knowledge in a chosen discipline, and the technical, professional, and personal skills needed for the career demands of the future. The program is intended to catalyze a cultural change in graduate education by establishing innovative new models for graduate education and training in a fertile environment for collaborative research that transcends traditional disciplinary boundaries.
DATE:
-
TEAM MEMBERS:
Kurt ThoroughmanGregory DeAngelisRandy BucknerSteven PetersenDora Angelaki
To address the challenges of recruiting, training, impacting, and retaining scientists in informal outreach and to capitalize on access to the public through a local science center, Washington University and the St. Louis Science Center (SLSC; http://www.slsc.org) collaborated to create a program that combines informal science communication and the professional development of graduate students. The program sought to produce scientists who were trained to be effective informal educators. Workshops developed and led by SLSC staff, followed by personalized coaching, covered essential science
This project, conducted by the University of Pittsburgh and the University of California, Berkeley, seeks to discover what makes middle school students engaged in science, technology, engineering, and mathematics (STEM). The researchers have developed a concept known as science learning activation, including dispositions, practices, and knowledge leading to successful STEM learning and engagement. The project is intended to develop and validate a method of measuring science learning activation.
The first stage of the project involves developing the questions to measure science activation, with up to 300 8th graders participating. The second stage is a 16-month longitudinal study of approximately 500 6th and 8th graders, examining how science learning activation changes over time. The key question is what are the influencers on science activation, e.g., student background, classroom activities, and outside activities.
This project addresses important past research showing that middle school interest in STEM is predictive of actually completing a STEM degree, suggesting that experiences in middle school and even earlier may be crucial to developing interest in STEM. This research goes beyond past work to find out what are the factors leading to STEM interest in middle school.
This work helps the Education and Human Resources directorate, and the Division of Research on Learning, pursue the mission of supporting STEM education research. In particular, this project focuses on improving STEM learning, as well as broadening participation in STEM education and ultimately the STEM workforce.
The Environmental Scientist-in-Residence Program will leverage NOAA s scientific assets and personnel by combining them with the creativity and educational knowledge of the pioneer hands-on science center. To do this, the program will embed NOAA scientists in a public education laboratory at the Exploratorium. Working closely with youth Explainers, exhibit developers, and Web and interactive media producers at the Exploratorium, NOAA scientists will share instruments, data, and their professional expertise with a variety of public audiences inside the museum and on the Web. At the same time the scientists will gain valuable skills in informal science communication and education. Through cutting-edge iPad displays, screen-based visualizations, data-enriched maps and sensor displays, and innovative interactions with visitors on the museum floor, this learning laboratory will enable NOAA scientists and Exploratorium staff to investigate new hands-on techniques for engaging the public in NOAA s environmental research and monitoring efforts.
Focusing on climate change and its impact on coastal zones and marine life, Visualizing Change will build educator capacity in the aquarium community and informal science education field. Building on NOAA datasets and visualizations, we will provide interpreters with strategic framing communication tools and training using the best available social and cognitive research so that they can become effective climate change educators. Objectives are to (1) Develop and test four exemplary interpretive "visual narratives" that integrate research-based strategic communication with NOAA data visualization resources; (2) Test the application of the visual narratives in a variety of geographic regions, institution types (aquarium, science center, etc.), and using multiple technology platforms (Science on a Sphere, Magic Planet portable globe display, iPad/tablets, and video walls); (3) Build a professional development program for climate change interpretation with data visualization; and (4) Leverage existing networks for dissemination and peer support.