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
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.
Supported by the National Science Foundation, the Global Soundscapes! Big Data, Big Screens, Open Ears project employs a variety of informal learning experiences to present the physics of sound and the new science of soundscape ecology. The interdisciplinary science of soundscape ecology analyzes sounds over time in different ecosystems around the world. The major components of the Global Soundscapes project are an educator-led interactive giant-screen theater show, group activities, and websites. All components are designed with both sighted and visually impaired students in mind. Multimedia
EMERGE in STEM (Education for Minorities to Effectively Raise Graduation and Employment in STEM) is a NSF INCLUDES Design and Development Launch Pilot. This project addresses the broadening participation challenge of increasing participation of women, the at-risk minority population, and the deaf in the STEM workforce. The project incorporates in and out-of-school career awareness activities for grades 4-12 in a high poverty community in Guilford County, North Carolina. EMERGE in STEM brings together a constellation of existing community partners from all three sectors (public, private, government) to leverage and expand mutually reinforcing STEM career awareness and workforce development activities in new ways by using a collective impact approach.
This project builds on a local network to infuse career exposure elements into the existing mutually reinforcing STEM activities and interventions in the community. A STEM education and career exposure software, Learning Blade, will be used to reach approximately 15,000 students. A shared measurement system and assessment process will contribute to the evaluation of the effectiveness of the collective impact strategies, the implementation of mutually reinforcing activities across the partnership and the extent to which project efforts attract students to consider STEM careers.
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TEAM MEMBERS:
Gregory MontyMargaret KanipesMalcolm SchugSteven Jiang
resourceprojectGames, Simulations, and Interactives
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.
The project will advance efforts by the American Association for the Advancement of Science and the Institute for Learning Innovation to bring together young adults from communities historically underrepresented in science, technology, engineering, and mathematics (STEM) to collaboratively conduct scientifically driven challenges embedded in a mobile learning tool based upon the AAAS Active Explorer platform. The project will be conducted at the Washington National Mall, San Francisco National Golden Gate Park, and the Boston Harbor Islands National Recreation Area, and will study how a mobile technology used in these settings can facilitate learner engagement in science content; how it can affect young adults' engagement in science-learning processes; and whether interest in learning science and technology has been furthered. 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, including pathways for broadening access to STEM learning experiences and advancing research STEM learning. Research questions will investigate science learning inequalities by addressing how place-based augmented reality games can connect young adults to scientific practices, including observing science phenomena, analyzing data, and communicating findings; how young adults develop science skills related to their science self-efficacy through participation in augmented reality science exploration; and how mobile technologies and gaming can serve as mediators that enable young adults to improve their science identity. In addition to engaging young adults in science activities at the National Parks and increasing their science skills, the project will provide valuable information to National Park staff and scientists to assist them in designing effective tools, resources and experiences to better engage young adults. Research teams will collect data in the form of digital ethnography, focus groups, activity reports, artifacts, and surveys. The project will document learning and engagement through mobile technology in three urban national parks that will involve 60 young adults at each location, and will create innovative measurement tools to monitor how informal settings can leverage the intersections of the arts and sciences to support student engagement and learning.
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.
The University of Southern California (USC) will build on prior work to test a robust model for assessing player content engagement and social interactions within an augmented reality game (ARG). In partnership with No Mimes Media, USC will use machine learning algorithms to make automated player inferences to customize game play. The content focus of the game will span a range of STEM disciplines, with a special emphasis on earth science content and scientific investigation & experimentation reasoning. High school youth from underserved communities in Los Angeles will be recruited to participate in the endeavor. This pathways project will use various "rabbit hole" techniques to attract freshmen and sophomore students from partner charter schools to the online game. The rabbit hole strategies may include cryptic posters, inquisitive signs, & SQR codes strategically placed in plain and open view of the target group. The game will be fully accessible to the target group online. During the ARG experience, youth players will encounter STEM concepts and scientific problems. Antagonistic characters will promulgate scientific misconceptions and nonscientific reasoning and challenge players to employ their scientific knowledge and skills to level-up, gain badges, and move through the game. As game play persists, machine learning algorithms will gather data on the players learning competencies and social interactions within the game. These data will be aggregated and analyzed to assess learning and interactions within the ARG environment. Additional analyses will be conducted by the mixed methods approach the external evaluation group, CRESST, will employ for the project formative and summative evaluations. Approximately 300 youth, within the target grade levels, are expected to participate in the gaming experience. However, given that access to the game and assessment tools will expand beyond the target group, the potential reach of the project could be much greater. Further, the stated aim of the project is not only to produce a scalable model for broad implementation but it also endeavors to provide puppetmasters with research and assessment tools to create more individualized experiences and improved learning outcomes for players within ARG environments.
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TEAM MEMBERS:
Yu-Han ChangJihie KimRajiv Maheswaran
Living Liquid is a full-scale development project that will develop and research a new genre of science exhibit that engage visitors in inquiry with large scientific datasets through interactive visualizations. Building on findings from a prior pathways project, Living Liquid will develop three interactive visualizations on a multi-touch Viz Table with a tangible user interface. Each visualization will support visitors in the exploration of a dataset provided by the project’s science partners: 1) Plankton Patterns will show how the ocean is defined by regions of microscopic life using data from the MIT Darwin Project; 2) Ocean Tracks will reveal the “highways” large marine creatures travel with data from the TOPP project at Stanford University; and 3) Genetic Rhythms will follow the activity of marine creatures’ genes in response to environmental conditions based on data from the Center for Microbial Oceanography Research and Education (C-MORE). Through an iterative process of collaborative research and development among museum professionals, educational researchers, computer scientists, marine biologists, data artists and interaction designers, this project seeks to: (1) Advance public understanding of ocean ecosystems and large data inquiry skills through the development of a Viz Table. (2) Advance STEM professionals’ knowledge of how to engage the public in inquiry with visualizations through an educational research study. (3) Increase the capacity of STEM professionals (both ISE developers and research scientists) to develop visualizations through a collaborative development process that includes graduate student training and residencies.
The authors provide an analysis of pairs of children interacting with a multi-touch tabletop exhibit designed to help museum visitors learn about evolution and the tree of life. The exhibit’s aim is to inspire visitors with a sense of wonder at life’s diversity while providing insight into key evolutionary concepts such as common descent. The authors find that children negotiate their interaction with the exhibit in a variety of ways including reactive, articulated, and contemplated exploration. These strategies in turn influence the ways in which children make meaning through their