The Maryland Science Center (MSC), in collaboration with Johns Hopkins University (JHU), the University of Maryland, Baltimore (UMB), and Morgan State University (MSU), has sought the support of the National Institutes of Health SEPA (Science Education Partnership Award) Program to develop "Cellular Universe: The Promise of Stem Cells," a unique exhibition and update center with related programs that highlight the most current science in cell biology and stem cell research. Visitor surveys have shown that science museum visitors are very interested in learning about stem cell research, but know little about the science of stem cells or cell biology, which form the basis of stem cell research. The goal of this project is to help visitors learn about advances in cell biology and stem cells so that they will make informed health-related decisions, explore new career options, and better understand the role of basic and clinical research in health advances that affect people's lives. Topics to be covered include the basic biology of cells, the role of stem cells in human development, current stem cell research and the clinical research process. This exhibition will also address the controversies in stem cell research. Our varied advisory panel, including cell biologists, physiologists, adult and embryonic stem cell researchers and bioethicists, will ensure the objectivity of all content. "Cellular Universe: The Promise of Stem Cells" will be a 3,500 square-foot exhibition to be planned, designed and prototyped in Fall 2006-Winter 2009, and installed in MSC's second-floor human body exhibition hall in Spring 2009. This exhibition will build on the successful model of "BodyLink," our innovative health science update center funded by a 2000 SEPA grant (R25RR015602) and supported by partnerships with JHU and UMB.
The Developing Guidelines for Designing Challenging and Rewarding Interactive Science Exhibits project is a Research in Service to Practice grant running from 10/1/2016-9/30/2021. We have used a Design-Based Research (DBR) approach to refine a framework about exhibit design practices that support learners through the emotional aspects of “productive struggle” as we built three science museum exhibits.
This poster was presented at the 2021 NSF AISL Awardee Meeting.
Sense-making with data through the process of visualization—recognizing and constructing meaning with these data—has been of interest to learning researchers for many years. Results of a variety of data visualization projects in museums and science centers suggest that visitors have a rudimentary understanding of and ability to interpret the data that appear in even simple data visualizations. This project supports the need for data visualization experiences to be appealing, accommodate short and long-term exploration, and address a range of visitors’ prior knowledge. Front-end evaluation
There is a dearth of prominent STEM role models for underrepresented populations. For example, according to a 2017 survey, only 3.1% of physicists in the United States are Black, only 2.1% are Hispanic, and only 0.5% are Native American. The project will help bridge these gaps by developing exhibits that include simulations of historical scientific experiments enacted by little-known scientists of color, virtual reality encounters that immerse participants in the scientists' discovery process, and other content that allows visitors to interact with the exhibits and explore the exhibits' themes. The project will develop transportable, interactive exhibits focusing on light: how we perceive light, sources of light from light bulbs to stars, uses of real and artificial light in human endeavors, and past and current STEM innovators whose work helps us understand, create, and harness light now. The exhibits will be developed in three stages, each exploring a characteristic of light (Color, Energy, or Time). Each theme will be explored via multiple deliveries: short documentary and animated films, virtual reality experiences, interactive "photobooths," and technology-based inquiry activities. The exhibit components will be copied at seven additional sites, which will host the exhibits for their audiences, and the project's digital assets will enable other STEM learning organizations to duplicate the exhibits. The exhibits will be designed to address common gaps in understanding, among adults as well as younger learners, about light. What light really is and does, in scientific terms, is one type of hidden story these exhibits will convey to general audiences. Two other types of science stories the exhibits will tell: how contemporary research related to light, particularly in astrophysics, is unveiling the hidden stories of our universe; and hidden stories of STEM innovators, past and present, women and men, from diverse backgrounds. These stories will provide needed role models for the adolescent learners, helping them learn complex STEM content while showing them how scientific research is conducted and the diverse community of people who can contribute to STEM innovations and discoveries.
The project deliverables will be designed to present complex physics content through coherent, immersive, and embodied learning experiences that have been demonstrated to promote engagement and deeper learning. The project will research whether participants, through interacting with these exhibits, can begin to integrate discrete ideas and make connections with complex scientific content that would be difficult without technology support. For example, students and other novices often lack the expertise necessary to make distinctions between what is needed and what is extra within scientific problems. The proposed study follows a Design-Based Research (DBR) approach characterized by iterative cycles of data collection, analysis, and reflection to inform the design of educational innovations and advance educational theory. Project research includes conceiving, building, and testing iterative phases, which will enable the project to capture the complexity of learning and engagement in informal learning settings. Research participants will complete a range of research activities, including focus group interviews, observation, and pre-post assessment of science content knowledge and dispositions.
By showcasing such role models and informing about related STEM content, this project will widen perspectives of audiences in informal learning settings, particularly adolescents from groups underrepresented in STEM fields. Research findings and methodologies will be shared widely in the informal STEM learning community, building the field's knowledge of effective ways to broaden participation in informal science learning, and thus increase broaden participation in and preparation for the STEM-based workforce.
This project is funded by the National Science Foundation's (NSF's) Advancing Informal STEM Learning (AISL) program, which supports innovative research, approaches, and resources for use in a variety of learning settings.
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TEAM MEMBERS:
Todd BoyetteJill HammJanice AndersonCrystal Harden
The Field Museum contracted RK&A to conduct a summative evaluation of the Grainger Science Hub and the Discovery Squad Carts, two museum experiences facilitated by educators or trained volunteers. The goals of the study are to explore the extent to which visitors interact with programming in the Science Hub and at Discovery Squad Carts and the nature of those interactions, as well as visitor motivations and takeaways.
How did we approach this study?
RK&A conducted observations in the Science Hub and at Discovery Squad Carts to understand the nature of experiences at each. The
U!Scientist is an in-gallery touch table adaptation of the popular online citizen science project Galaxy Zoo. Taking advantage of the social opportunities in a museum setting, the project aims not only to enhance visitors’ science self-efficacy but also to encourage visitors to discuss their choices with friends and family.
This poster was presented at the 2019 NSF AISL Principal Investigators Meeting.
This poster shares an example of how the project team for the Developing Guidelines for Designing Challenging and Rewarding Interactive Science Exhibits has been applied design principles to support the emotional state of productive struggle in an interactive science museum exhibit. It discusses the three stages of productive struggle (emotional disequilibrium, persistence, and productivity), puts those in an applied context, and discusses the team's research methods which include a combination of self-report and biometric measures.
As part of its overall strategy to enhance learning in informal environments, the Advancing Informal STEM Learning (AISL) program seeks to advance new approaches to, and evidence-based understanding of, the design and development of STEM learning in informal environments. This includes providing multiple pathways for broadening access to and engagement in STEM learning experiences, advancing innovative research on and assessment of STEM learning in informal environments, and developing understandings of deeper learning by participants. The theme of this conference project by the New York Hall of Science will be exploring how to better design exhibits to promote "public engagement with science." Here, "public engagement with science" refers to opportunities that go beyond traditional approaches to the public understanding of science. The event will invite professionals to consider how to shift exhibit designs toward engaging visitors with STEM in ways that emphasize the intersection of STEM innovation with visitors' daily lives, their personal agency, and their interdependence with their personal social networks and the institutions that advance STEM knowledge and innovation. The conference and its pre- and post-conference activities will bring together curators, exhibition developers, community outreach professionals, museum administrators, and learning scientists from the United States and Canada. They will work together to identify design principles and key obstacles to designing exhibits that can better help science museums achieve two goals: 1) making visitors' diverse and personal questions, concerns, and perspectives central to their experience of the exhibits; and 2) engaging visitors as contributors to the exhibit experience in ways that make their contributions visible and consequential. During this two-day event attendees will consider how exhibits can support broader and more diverse public participation in critical debates about the roles of STEM discovery and innovation in society. The effort is grounded in recent work on public engagement with science; on reorganizing museums to become sites for participation and contribution by visitors, and particularly by institutions' local communities; and on making and engineering design programming within museums. The goal is to chart a course toward a vision of the future of science museums in which they maintain their status as sources of trusted information, while also fulfilling their potential as sites of genuine participation and social interaction, in which visitors make meaningful contributions to the substance and workings of the museum floor while also engaging with, learning about and holding themselves accountable to the core concepts and practices of the STEM disciplines. The conference will build the capacity and collaborative engagement of a network of science centers whose work is central to achieving the museum field's ultimate goal of engaging the public of all ages in learning STEM in informal environments. The conference and associated activities will be evaluated by staff at the New York Hall of Science, with oversight by an external advisory committee of research and development professionals. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
We propose a thoughtful process for scientists to develop their “impact identity”, a concept that integrates scholarship in a scientific discipline with societal needs, personal preferences, capacities and skills, and one’s institutional context. Approaching broader impacts from a place of integrated identity can support cascading impacts that develop over the course of a career. We argue identity is a productive driver that can improve outcomes for scientists and for society. Widespread adoption of the concept of impact identity may also have implications for the recruitment and retention of
The Space and Earth Informal STEM Education (SEISE) project, led by the Arizona State University with partners Science Museum of Minnesota, Museum of Science, Boston, and the University of California Berkeley’s Lawrence Hall of Science and Space Sciences Laboratory, is raising the capacity of museums and informal science educators to engage the public in Heliophysics, Earth Science, Planetary Science, and Astrophysics, and their social dimensions through the National Informal STEM Education Network (NISE Net). SEISE will also partner on a network-to-network basis with other existing coalitions and professional associations dedicated to informal and lifelong STEM learning, including the Afterschool Alliance, National Girls Collaborative Project, NASA Museum Alliance, STAR_Net, and members of the Association of Children’s Museums and Association of Science-Technology Centers. The goals for this project include engaging multiple and diverse public audiences in STEM, improving the knowledge and skills of informal educators, and encouraging local partnerships.
In collaboration with the NASA Science Mission Directorate (SMD), SEISE is leveraging NASA subject matter experts (SMEs), SMD assets and data, and existing educational products and online portals to create compelling learning experiences that will be widely use to share the story, science, and adventure of NASA’s scientific explorations of planet Earth, our solar system, and the universe beyond. Collaborative goals include enabling STEM education, improving U.S. scientific literacy, advancing national educational goals, and leveraging science activities through partnerships. Efforts will focus on providing opportunities for learners explore and build skills in the core science and engineering content, skills, and processes related to Earth and space sciences. SEISE is creating hands-on activity toolkits (250-350 toolkits per year over four years), small footprint exhibitions (50 identical copies), and professional development opportunities (including online workshops).
Evaluation for the project will include front-end and formative data to inform the development of products and help with project decision gates, as well as summative data that will allow stakeholders to understand the project’s reach and outcomes.
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 proposed project broadens the utility of Public Participation in Scientific Research (PPSR) approaches, which include citizen science, to support new angles in informal learning. It also extends previous work on interactive data visualizations in museums to encompass an element of active contribution to scientific data. To achieve these goals, this project will develop and research U!Scientist (pronounced `You, Scientist!')--a novel approach to using citizen science and learning research-based technology to engage museum visitors in learning about the process of science, shaping attitudes towards science, and science identity development. Through the U!Scientist multi-touch tabletop exhibit, visitors will: (1) interact with scientific data, (2) provide interpretations of data for direct use by scientists, (3) make statements based on evidence, and (4) visualize how their data classifications contribute to globe-spanning research projects. Visitors will also get to experience the process of science, gaining efficacy and confidence through these carefully designed interactions. This project brings together Zooniverse, experts in interactive design and learning based on large data visualizations in museums, and leaders in visitor experience and learning in science museums. Over fifty thousand museum visitors are expected to interact annually with U!Scientist through this effort. This impact will be multiplied by packaging the open-source platform so that others can easily instantiate U!Scientist at their institution.
The U!Scientist exhibit development process will follow rapid iterations of design, implementation, and revision driven by evaluation of experiences with museum visitors. It will involve close collaboration between specialists in computer science, human-computer interaction and educational design, informal science learning experts, and museum practitioners. The summative evaluation will be based on shadowing observations, U!Scientist and Zooniverse.org logfiles (i.e., automated collection of user behavior metrics), and surveys. Three key questions will be addressed through this effort: Q1) Will visitors participate in PPSR activities (via the U!Scientist touch table exhibit) on the museum floor, despite all the distractions and other learning opportunities competing for their attention? If so, who engages, for how long, and in what group configurations? Q2) If visitors do participate, will they re-engage with the content after the museum visit (i.e., continue on to Zooniverse.org)? Q3) Does engaging in PPSR via the touch table exhibit--with or without continued engagement in Zooniverse.org after the museum visit--lead to learning gains, improved understanding of the nature of science, improved attitudes towards science, and/or science identity development?
As the world is increasingly dependent upon computing and computational processes associated with data analysis, it is essential to gain a better understanding of the visualization technologies that are used to make meaning of massive scientific data. It is also essential that the infrastructure, the very means by which technologies are developed for improving the public's engagement in science itself, be better understood. Thus, this AISL Innovations in Development project will address the critical need for the public to learn how to interpret and understand highly complex and visualized scientific data. The project will design, develop and study a new technology platform, xMacroscope, as a learning tool that will allow visitors at the Science Museum of Minnesota and the Center of Science and Industry, to create, view, understand, and interact with different data sets using diverse visualization types. The xMacroscope will support rapid research prototyping of public experiences at selected exhibits, such as collecting data on a runner's speed and height and the visualized representation of such data. The xMacroscope will provide research opportunities for exhibit designers, education researchers, and learning scientists to study diverse audiences at science centers in order to understand how learning about data through the xMacroscope tool may inform definitions of data literacy. The research will advance the state of the art in visualization technology, which will have broad implications for teaching and learning of scientific data in both informal and formal learning environments. The project will lead to better understanding by science centers on how to present data to the public more effectively through visualizations that are based upon massive amounts of data. Technology results and research findings will be disseminated broadly through professional publications and presentations at science, education, and technology conferences. The project is funded by the Advancing Informal STEM Learning (AISL) program, which seeks to advance new approaches to, and evidence-based understanding of, the design and development of STEM learning in informal environments. This includes providing multiple pathways for broadening access to and engagement in STEM learning experiences, advancing innovative research on and assessment of STEM learning in informal environments, and developing understandings of deeper learning by participants. The project is driven by the assumption that in the digital information age, being able to create and interpret data visualizations is an important literacy for the public. The research will seek to define, measure, and advance data visualization literacy. The project will engage the public in using the xMacrocope at the Science Museum of Minnesota and at the Center of Science and Industry's (COSI) science museum and research center in Columbus, Ohio. In both museum settings the public will interact with different datasets and diverse types of visualizations. Using the xMacroscope platform, personal attributes and capabilities will be measured and personalized data visualizations will be constructed. Existing theories of learning (constructivist and constructionist) will be extended to capture the learning and use of data visualization literacy. In addition, the project team will conduct a meta-review related to different types of literacy and will produce a definition with performance measures to assess data visualization literacy - currently broadly defined in the project as the ability to read, understand, and create data visualizations. The research has potential for significant impact in the field of science and technology education and education research on visual learning. It will further our understanding of the nature of data visualization literacy learning and define opportunities for visualizing data in ways that are both personally and culturally meaningful. The project expects to advance the understanding of the role of personalization in the learning process using iterative design-based research methodologies to advance both theory and practice in informal learning settings. An iterative design process will be applied for addressing the research questions by correlating visualizations to individual actions and contributions, exploring meaning-making studies of visualization construction, and testing the xMacroscope under various conditions of crowdedness and busyness in a museum context. The evaluation plan is based upon a logic model and the evaluation will iteratively inform the direction, process, and productivity of the project.