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
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.
This pathways project would refine and test a game based on the Kinect technology gaming tool to teach seismology concepts in an informal education setting and how they apply to phenomenon in other STEM fields. The game will be developed as a companion tool to the "Quake Catcher Network" a low-cost network of seismic sensors in schools, homes and offices world-wide and tie-ins with seismology programs such as the great California ShakeOut with a participant base of 8.6 million. The project design would select three new learning modules, chosen by a group of scientists and educators, to incorporate into the game and evaluate player experience and knowledge gain. The activities will be conducted at a partner test site, an aquarium, frequented by area youth 8 - 12 years old. The focus of the effort is to add to the knowledge of how gaming can be used effectively in informal learning environments The game places the player as a scientist, allowing the player to make decisions about seismic station deployment strategies following an earthquake, installing the sensors and monitoring incoming data. The game has levels of difficulty and players accrue points by acting swiftly and correctly. Learning goals for the project include making abstract math concepts understandable; involve participants in data collection and the process of scientific investigation, plus demonstrate how scientists and mathematicians use tools of their fields to address real-world issues.
This project will create and study Kids' Survey Network as an exemplar of a new, replicable model of informal learning called an apprenticeship network. The project will develop the data literacy of future learners, workers, and citizens by empowering participants aged 11-14 to develop survey projects to address their own questions about local community issues. Research on the project will illuminate core questions relating to the design and potential impact of the apprenticeship network, including social and motivational dynamics, community and technology-based scaffolding, educational game genres, and conditions of effective use. The project deliverables include four components: (1) a web-based community of practice; (2) a common set of tools; (3) a suite of learning games and tutorials; and (4) structures for tiered, team-based advancement. Tertl Studios LLC and MIT's Education Arcade will develop the learning games, SRI International will conduct the evaluation, leading regional and national informal education organizations will provide test bed sites, and professional survey research organizations will provide technical and volunteer assistance.
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TEAM MEMBERS:
Elizabeth RoweDiana NunnaleyChristopher Hancock
The University of Central Florida Media Convergence Laboratory, New York Hall of Science, and the Queens Museum of Art are developing a 3-D, multi-user virtual environment (MUVE) of the 1964/65 New York World's Fair. Virtual fairgoers of all ages will be immersed in an accurately modeled historical world with more than 140 pavilions on science, technology, engineering, and mathematics (STEM) disciplines and an array arts and humanities exhibits. The virtual world can be freely explored through self-designed avatars, and avatar-led guided tours. Discovery Points throughout the virtual environment will afford opportunities for in-depth engagement in STEM topics that will empower participants to explore the broader consequences of technological innovations. The centerpiece of user-generated content is FutureFair, an area where online users can create and share their personal visions of the future. Interconnections reaches beyond its virtual component through its partnership with the New York Hall of Science and the Queens Museum of Art, which are both situated in the heart of Queens in Flushing Meadows Corona Park, a 1255 acre urban park that hosted the 1939/1940 and 1964/65 Fairs. The New York Hall of Science will provide face-to-face youth workshops that employ problem-based learning. Single and multi-session programs will connect adolescents to STEM content presented at the Fair through the virtual world environment. Participants will create multimedia content for inclusion in the project's website. Multi-touch interactive stations at the Queens Museum of Art will enhance their NY World's Fair Exhibit Hall by empowering visitors to individually or collectively explore various STEM topics and the symbiotic relationships between STEM and the humanities, and by serving as an attractor for visitors to the online Fair exploration. The project will be completed in time for the 50th Anniversary celebration of the 1964 World's Fair. Building upon prior research on learning in virtual worlds, the project team will investigate how STEM concepts are advanced in a simulated multi-user virtual environment and studying the effectiveness of using Virtual Docents as enhancements to the informal learning process. The research and development deliverables have strong potential to advance the state of informal science education, research on modeling and simulation in virtual world development, and education research. Michigan Technological University will conduct the project formative and summative evaluations.
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TEAM MEMBERS:
Lori WaltersMichael MoshellCharles HughesEileen Smith
The Educational Film Center (EFC) is developing a science, engineering, and technology careers exhibit for distribution to science museums and technology centers. The core of the exhibit kiosk, with related career graphics surrounds, is SET/QUEST, an interactive multimedia program for both Macintosh and PC/Windows using CD-Rom as the full motion video source. Teens and preteens will enter an interactive exploration of thirty careers with first person video profiles of people in science and engineering; animated/reality video simulations of a work experience in these fields, decision screens, and a database of over 200 more science and math-based professions. The documentary profiles, database, and a personal interest career match component will also be developed in alternative media formats (video, audio, print) for broad distribution to community and youth education networks, schools, and libraries. Specific emphasis in this project is being placed on reaching and attracting female, minority, and disabled youth. A parent outreach component has been developed and will be implemented by the Directorate of Education & Human Resources Programs of AAAS. The concept of the parent effort is to work directly with and through the national offices of four major national organizations with different institutional community roots -- Science Museums, Public Libraries, Schools, and Community Based Organizations -- to involve parents and families with SET Project materials and to provide them with information with which they can foster their children's pursuit of science and math education and careers in these fields. Initial efforts will be conducted in 18 cities. The project is a collaborative endeavor among three organizations: The Educationa l Film Center which will be responsible for management and development/production of the software and documentary video profiles; The New York Hall of Science which will be responsible for the exhibit kiosk and graphics, will design and develop the student workbook and user installation print, will serve as the principal test site for the exhibit, and will advise on software, interactive multimedia design, and installation options; and COMAP which will be responsible for direct involvement of the Advisory Board, for selecting and hiring content consultants, for assuring the accuracy of the science and math content, for formative and summative evaluation, and for developing and preparing community leader and school users guides for publication. Stephen Rabin, President of EFC, will serve as PI for the project.
The Scientific Reasoning Research Institute at the University of Massachusetts, Amherst will conduct a feasibility study for engaging museum visitors in data analysis through this planning grant. Intellectual Merit: This project builds on the extensive prior work of the PI in developing Tinkerplots software for middle school students. At the same time, it potentially takes advantage of the many museum exhibitions that include various kinds of data but provide no mechanisms for visitors to analyze the data and draw conclusions. This project makes the connection by seeking to demonstrate the proof of concept for the transfer of this data analysis program from the formal to the informal setting. Broader Impact: This project will purposefully test three very different settings -- Museum of Science, Boston, MA; Naismith Basketball Hall of Fame, Springfield, MA; and Missouri Botanical Garden, St. Louis, MO -- to explore the advantages and limitations of this approach in those learning environments. If successful, the software could have very wide application.
This project will research distributed, online fantasy basketball games, which are quite popular with many kinds of players, including informal science education under-represented groups, and which entail some degree of informal statistical reasoning and decision-making strategies. The game is not playing basketball per se, but taking on the role of a team owner or coach who needs to decide how best to compose a team given necessarily limited resources. The research team will provide a method for framing and researching statistical understanding and decision making of expert and novice players, then, based on the research, will develop scaffolded techniques for helping players become more reflective on and adept with the statistical knowledge and decision making strategies they use.
This award-winning website includes a comprehensive collection of standards-based, space science education materials. Site visitors can explore a variety of resources such as A Hubble Gallery, Online Explorations, Tonight’s Sky, and Star Witness News science content readings. The “For Educators” side of site includes support materials such as science background information and overview pages that provide strategies for using Amazing Space activities in educational settings.
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Space Telescope Science InstituteBonnie Eisenhamer