This is a compilation of front-end, formative, and a partial summative evaluations, and an exploratory study using the xMacroscope, a data visualization technology developed for generating data from an exhibit using data captured from visitor actions.
This project investigates long-term human-robot interaction outside of controlled laboratory settings to better understand how the introduction of robots and the development of socially-aware behaviors work to transform the spaces of everyday life, including how spaces are planned and managed, used, and experienced. Focusing on tour-guiding robots in two museums, the research will produce nuanced insights into the challenges and opportunities that arise as social robots are integrated into new spaces to better inform future design, planning, and decision-making. It brings together researchers from human geography, robotics, and art to think beyond disciplinary boundaries about the possible futures of human-robot co-existence, sociality, and collaboration. Broader impacts of the project will include increased accessibility and engagement at two partner museums, interdisciplinary research opportunities for both undergraduate and graduate students, a short video series about the current state of robotic technology to be offered as a free educational resource, and public art exhibitions reflecting on human-robot interactions. This project will be of interest to scholars of Science and Technology Studies, Human Robotics Interaction (HRI), and human geography as well as museum administrators, educators and the general public.
This interdisciplinary project brings together Science and Technology Studies, Human Robotics Interaction (HRI), and human geography to explore the production of social space through emerging forms of HRI. The project broadly asks: How does the deployment of social robots influence the production of social space—including the functions, meanings, practices, and experiences of particular spaces? The project is based on long-term ethnographic observation of the development and deployment of tour-guiding robots in an art museum and an earth science museum. A social roboticist will develop a socially-aware navigation system to add nuance to the robots’ socio-spatial behavior. A digital artist will produce digital representations of the interactions that take place in the museum, using the robot’s own sensor data and other forms of motion capture. A human geographer will conduct interviews with museum visitors and staff as well as ethnographic observation of the tour-guiding robots and of the roboticists as they develop the navigation system. They will produce an ethnographic analysis of the robots’ roles in the organization of the museums, everyday practices of museum staff and visitors, and the differential experiences of the museum space. The intellectual merits of the project consist of contributions at the intersections of STS, robotics, and human geography examining the value of ethnographic research for HRI, the development of socially-aware navigation systems, the value of a socio-spatial analytic for understanding emerging forms of robotics, and the role of robots within evolving digital geographies.
This project is jointly funded by the Science and Technology Studies program in SBE and Advancing Informal STEM Learning (AISL) Program in EHR.
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 new technologies continue to dominate the world, access to and participation in science, technology, engineering, mathematics (STEM), and computing has become a critical focus of education research, practice, and policy. This issue is exceptionally relevant for American Indians, who remain underrepresented as only 0.2% of the STEM workforce, even though they make up 2% of the U.S. population. In response to this need, this Faculty Early Career Development Program (CAREER) project takes a community-driven design approach, a collaborative design process in which Indigenous partners maintain sovereignty as designers, to collaboratively create three place-based storytelling experiences, stories told in historical and cultural places through location-based media. The place-based storytelling experiences will be digital installations at three culturally, politically, and historically significant sites in the local community where the public can engage with Indigenous science. The work is being done in partnership with the Northwestern Band of the Shoshone Nation (NWBSN).
The principal investigator and the NWBSN will investigate: (a) what are effective strategies and processes to conduct community-driven design with Indigenous partners?; (b) how does designing place-based storytelling experiences develop tribal members' design, technical, and computational skills?; (c) how does designing these experiences impact tribal members' scientific, technological, and cultural identities? The goals are to establish a process of community-driven design, build infrastructure to support this process, and understand how this methodological approach can result in culturally-appropriate ways to engage with science through technology. The principal investigator will work with the tribe to complete three intergenerational design cycles (a design cycle is made up of multiple design iterations). Each design cycle will result in one place-based storytelling experience. The goal is to include roughly 15 youth (ages 6-18), 10 Elders, and 10 other community members (i.e. members ages 18-50, likely parents) in each design cycle (35 tribal members total). Some designers are likely to participate in multiple design cycles. The tribe currently has 48 youth ages 6-18 and the project aims to engage at least 30 across all three design cycles. Over four years of designing three different experiences, the NWBSN aims to recruit at least 100 tribal members (just under 20% of the tribe) to make contributions (as designers, storytellers, or to provide cultural artifacts or design feedback).
This CAREER award 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.
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 examined the conversational reflections of 248 families with 6–11‐year‐old children shortly after they visited a tinkering exhibit. Our aim was to understand the conditions of tinkering and conversational reflection that can enhance STEM learning opportunities for young children. We discuss implications for the design of tinkering and reflection activities that can both reveal and advance STEM learning.
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
resourceevaluationProfessional Development, Conferences, and Networks
The STAR Library Network Phase 2 (STAR Net) brings inquiry-based STEM learning experiences to public libraries through six traveling exhibits, training for library staff and associated programming for library patrons, and a virtual community of practice for library staff and others interested in bringing STEM programming to libraries. In 2014, the National Science Foundation (NSF) awarded a four-year grant to the Space Science Institute’s (SSI) National Center for Interactive Learning (NCIL) and its partners—the American Library Association (ALA), the Lunar and Planetary Institute (LPI), the
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TEAM MEMBERS:
Ginger FitzhughSarah ArmstrongSheila RodriguezVicky Coulon
resourceevaluationProfessional Development, Conferences, and Networks
The STAR Library Network Phase 2 (STAR Net) brings inquiry-based STEM learning experiences to public libraries through six traveling exhibits, training for library staff and associated programming for library patrons, and a virtual community of practice for library staff and others interested in bringing STEM programming to libraries. In 2014, the National Science Foundation (NSF) awarded a four-year grant to the Space Science Institute’s (SSI) National Center for Interactive Learning (NCIL) and its partners—the American Library Association (ALA), the Lunar and Planetary Institute (LPI), the
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TEAM MEMBERS:
Ginger FitzhughSarah ArmstrongSheila RodriguezVicky Coulon
The COMPASS conference will bring together 80 participants for two days in September 2018 at the Exploratorium in San Francisco, CA. The first dissemination will take place in a presentation at the ASTC conference the following month in October 2018. A webinar sharing insights from COMPASS and inviting others to engage will be held in March 2019 hosted by ASTC and accessible by ASTC members and non-members alike. A companion COMPASS e-publication will be released for free download, also in March 2019, with summaries of conference proceedings, key issues identified, case histories of ILAM in
Building the capacity of public libraries and library staff to deliver engaging, inspirational, and educational STEM programs has the potential to transform the STEM education landscape across the country. What started in libraries some years ago as independent experiments in STEM programming has become a national STEM movement.
STAR Library Network (STAR Net) is a national program led by the Space Science Institute’s National Center for Interactive Learning (NCIL). STAR stands for Science-Technology Activities and Resources. NSF funds this Broad Implementation Phase 2 program. Core
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.
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. This study will capitalize on the increased availability and affordability of immersive interactive technologies, such as Augmented Reality devices and virtual characters, to investigate their potential for benefitting STEM learning in informal museum contexts. This project will combine these technologies to create an Augmented Reality experience that will allow middle-school youth and their families to meet and assist a virtual crew on a historic ship at the Independence Seaport Museum in Philadelphia. The players in this game-like experience will encounter technologies from the turn of the 20th century, including steam power, electricity, and wireless communication. Crew members and technologies will be brought to life aboard the USS Olympia, the largest and fastest ship in the US Navy launched in 1892. The historic context will be positioned in relation to current day technologies in ways that will enable a change in interest towards technology and engineering in middle school-age youth. This will result in a testbed for the feasibility of facilitating short-term science, technology, engineering and mathematics (STEM) identity change with interactive immersive technologies. A successful feasibility demonstration, as well as the insights into design, could open up novel ways of fostering STEM interest and identity in informal learning contexts and of demonstrating the impact of this approach. The potential benefit to society will rest in the expected results on the basic science regarding immersive interactive technologies in informal learning contexts as well as in demonstrating the feasibility of the integrated approach to assessment.
This project will use a living lab methodology to evaluate interactive immersive technologies in terms of their support for STEM identity change in middle-school age youth. The two-year design-based research will iteratively develop and improve the measurement instrument for the argument that identity change is a fundamental to learning. A combination of Augmented Reality and intelligent virtual agents will be used to create an interactive experience--a virtual living lab--in an informal museum learning exhibit that enables change interests towards technology and engineering and provides short-term assessment tools. In collaboration with the Independence Seaport Museum in Philadelphia, the testbed for the approach will be an experience that brings to life the technologies of the early 20th century aboard a historic ship. Through the application of Participatory Action Research techniques, intelligent virtual agents interacting with youth and families will customize STEM information relating to the ship's mission and performance. Topics explored will make connections with current day technologies and scientific understanding. Mixed-methods will be used to analyze interactions, interview and survey data, will form the basis for assessing the impact on youth's STEM interests. The elicitation method specifically includes assessment metrics that are relevant to the concept of learning as identity change. This assessment, through immersive interactive technologies, will target the priority areas of engagement in STEM as well as the measurement of outcomes.
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TEAM MEMBERS:
Stefan RankAyana AllenGlen MuschioAroutis FosterKapil Dandekar