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
Identifying causal relationships is an important aspect of research and evaluation in visitor studies, such as making claims about the learning outcomes of a program or exhibit. Experimental and quasi-experimental approaches are powerful tools for addressing these causal questions. However, these designs are arguably underutilized in visitor studies. In this article, we offer examples of the use of experimental and quasi-experimental designs in science museums to aide investigators interested in expanding their methods toolkit and increasing their ability to make strong causal claims about
Although discussions of museums often revolve around exhibits, educators in these spaces have the potential to create in-depth, social learning experiences beyond what is possible at exhibits alone. There is still little empirical research, however, to inform how we understand, approach, and improve museum facilitation practices. In this study, we sought to address this gap by quantifying the impact of facilitation by trained educators working with visitors at interactive museum exhibits and comparing this to visitor engagement and learning outcomes for families without educator support. Using
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.
Educators have been increasingly interested in teaching mathematics in informal settings. However, there is little research on the actual learning outcomes of out-of-school mathematics instruction or the role of interest in explaining the outcomes. In this study, 793 12-year-old pupils were taken into a science center mathematics exhibition in Latvia and Sweden, measuring their prior knowledge of the contents of the exhibition, general cognitive competences and individual interest in school mathematics before the visit, and their situational interest and learning outcomes after the exhibition
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TEAM MEMBERS:
Mari-Pauliina VainikainenHannu SalmiHelena Thuneberg
resourceevaluationProfessional Development, Conferences, and Networks
Researching the Value of Educator Actions for Learning (REVEAL) is an NSF-funded research project, led by the Oregon Museum of Science and Industry (OMSI) in collaboration with TERC and Oregon State University (OSU), which studied the impact of science center staff facilitation strategies at math exhibits. Building on and using exhibits from Design Zone—an interactive math exhibition which engaged visitors in exploring algebraic relationships and functions—the study was designed to add to the scant existing literature about the impact of staff facilitation on visitors. The study also aimed to
Front-line staff are an integral part of the visitor experience at museums and science centers across the country, facilitating activities and programs, leading classes, and more. But do these staff make a difference for visitor learning? And what are the most effective facilitation strategies and approaches? In 2013, the Oregon Museum of Science and Industry (OMSI) received funding from the National Science Foundation for a three-year study, Researching the Value of Educator Actions for Learning (REVEAL), to begin to address these questions. Building on the Design Zone exhibition, REVEAL
Teaching mathematics in informal settings is a relatively new phenomenon, but it has gained more attention due to the recent changes in the society. The aim of the present quantitative study was to compare the learning outcomes of Latvian and Swedish 12-year-olds when they visited a science centre mathematics-art exhibition originally designed in Estonia. The results showed that in general, prior knowledge of the exhibition contents was the strongest predictor of post-test results in both countries but that mathematical thinking skills and self-concept had a small added value in explaining the
DATE:
TEAM MEMBERS:
Hannu SalmiMari-Pauliina VainikainenHelena Thuneberg
The REVEAL project is an NSF funded project to learn about how facilitation impacts family’s experiences of math exhibits. The goal of the project was to iteratively develop and refine a theoretical model of how staff facilitation deepens and extends family mathematical discourse at interactive exhibits. This model underwent rigorous testing and ultimately provided the evidence and research-based tools to support PD efforts for informal STEM educators. As part of this testing the learnings from developing at OMSI (Oregon Museum of Science and Industry, in Portland, Oregon) were applied in an
Prototype exhibits of "The Universe by the Powers of Ten" illustrated in three dimensions an exponential journey away from earth. The goal of the summative evaluation, implemented by Multimedia Research, was to assess the educational impact of the exhibits and accompanying interpretive techniques, for both non-school adult and teen samples and 6th grade school samples in the Maryland Science Center and the Montshire Museum of Science. Two interpretive conditions were compared - a printed handout and an explainer presentation. Further, the Montshire non-school sample experienced a third
Many museum professionals believe that immersive exhibits—those that surround visitors—provide more attractive, engaging and effective learning experiences than tabletop exhibits. We investigated this claim by comparing visitors’ experiences of the two exhibit types, using pairs of exhibits that differed in scale (immersive vs. tabletop), but shared the same content and similar visitor activity. We randomly selected, videotaped, interviewed, and sent follow-up surveys to sixty families who experienced immersive exhibits and sixty families who experienced tabletop exhibits. We found that each
This pathways project will study how audiences in public spaces, in this case those in a museum setting, relate to and make sense of large data displays. The project is preliminary to development of a traveling, hands-on exhibition enabling users to create and utilize representations of big data displays such as maps and charts. As the test case, the project will use science maps that provide an overview of science generally and specific areas of STEM, charting and exploring the history and future of science and technology. The data collection portion of the project will take place at the New York Hall of Science, the Marian Koshland Science Museum, COSI in Columbus, Ohio, and WonderLab Museum in Bloomington, Indiana. The project will create a foundation for the design of museum exhibits and educational programs that teach museum visitors how to explore, engage and make better sense of big data. The project is potentially transformative because big data is becoming ubiquitous and making sense out of large data displays is necessary in order to understand big data sets.