The goals of this proposal are: 1) to provide opportunities for underrepresented students to consider careers in basic or clinical research by exciting them through an educational Citizen Science research project; 2) to provide teachers with professional development in science content and teaching skills using research projects as the infrastructure; and 3) to improve the environments and behaviors in early childcare and education settings related to healthy lifestyles across the state through HSTA students Citizen Science projects. The project will complement or enhance the training of a workforce to meet the nation’s biomedical, behavioral and clinical research needs. It will encourage interactive partnerships between biomedical and clinical researchers,in-service teachers and early childcare and education facilities to prevent obesity.
Specific Aim I is the Biomedical Summer Institute for Teachers led by university faculty. This component is a one week university based component. The focus is to enhance teacher knowledge of biomedical characteristics and problems associated with childhood obesity, simple statistics, ethics and HIPAA compliance, and the principles of Citizen Science using Community Based Participatory Research (CBPR). The teachers, together with the university faculty and staff, will develop the curriculum and activities for Specific Aim II.
Specific Aim II is the Biomedical Summer Institute for Students, led by HSTA teachers guided by university faculty. This experience will expose 11th grade HSTA students to the biomedical characteristics and problems associated with obesity with a focus on early childhood. Students will be trained on Key 2 a Healthy Start, which aims to improve nutrition and physical activity best practices, policies and environments in West Virginia’s early child care and education programs. The students will develop a meaningful project related to childhood obesity and an aspect of its prevention so that the summer institute bridges seamlessly into Specific Aim III.
Specific Aim III is the Community Based After School Club Experiences. The students and teachers from the summer experience will lead additional interested 9th–12th grade students in their clubs to examine their communities and to engage community members in conducting public health intervention research in topics surrounding childhood obesity prevention through Citizen Science. Students and teachers will work collaboratively with the Key 2 a Healthy Start team on community projects that will be focused on providing on-going technical assistance that will ultimately move the early childcare settings towards achieving best practices related to nutrition and physical activity in young children.
This annual report presents an overview of Saint Louis Science Center audience data gathered through a variety of evaluation studies conducted during 2017. This report includes information on the Science Center's general public audience demographics and visitation patterns, gives an overview of visitors' comments about their Science Center experience, summarizes major trends observed in the Science Center's tool for tracking educational programs, and presents highlights from front-end evaluation on the topic of infrastructures and summative evaluation of the GROW exhibition.
Please join us in celebrating Citizen Science Day, which falls this year on Saturday, April 14th. This issue of Connected Science Learning is dedicated to highlighting effective citizen science programs that involve classroom students in collecting data for research scientists, while also engaging them in key STEM (science, technology, engineering, and math) content and practices. Students get a “front row seat” to what scientists do and how scientists work, plus develop the reasoning skills and practices used by scientists.
In this article, The North American Association for Environmental Education (NAAEE) shares the programs and publications it developed to advance E-STEM—the integration of environmental education into STEM.
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.
The project will develop and research a new system that bridges the advantages of physical and virtual worlds to improve young children's inquiry-based science learning and engagement in a collaborative way. The project will use innovative technology and successful techniques developed for adaptive tutoring systems and bring this core research into informal learning settings where they haven't been applied before, with the goal of increasing engagement, learning and deep inquiry-based understanding in these environments. Museums and similar informal learning settings offer opportunities for children and families to learn together in an engaging way. However, without learning supports provided by people, signage, or technology, people often miss the point of the learning activity in museums. The project will develop a new genre of "intelligent" interactive science exhibits that combine proven intelligent tutoring system approaches with camera-based vision sensing to add a new layer to hands-on museum exhibits. This intelligent layer provides personalized interactive feedback to museum visitors while they experiment with physical objects in the real world. The project is a collaborative effort led by the Human Computer Interaction Institute at Carnegie Mellon University in partnership with the University of Pittsburgh Learning Research and Development Center, Children's Museum of Pittsburgh, and Carnegie Science Center. It is supported by the Advancing Informal STEM Learning (AISL) program funds research and innovative resources for use in a variety of settings, as a part of its overall strategy to enhance learning in informal environments.
The project will research whether and how learning principles and adaptive, computer-based technologies that are effective in formal school learning be made effective in an informal museum experience with hands-on activities to enhance the learning and engagement of children and parents. The system will use intelligent camera sensing that tracks and notices children's interaction in physical and virtual spaces and provides adaptive personalized feedback via the help of an engaging character. It guides the children as well as the parents to engage in productive dialogue, helping shape a better parent-child interaction. To investigate this, the project will further develop an innovative mixed-reality system and smart adaptive system that gives personalized feedback to visitors based on their actions, guiding them to understand the world around them like a scientist. The project will gather data on learner behaviors in mixed-reality experiences in informal settings to inform how to better design intelligent science exhibits and derive patterns to support key outcomes, including learning, engagement, collaboration, and productive dialogue. The project will also research the application of these design patterns across different science content areas.
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TEAM MEMBERS:
Ken KoedingerScott HudsonKevin CrowleyNesra Yannier