This paper describes the development and preliminary validation of a new spatial ability instrument that is designed to be accessible non-visually. Although additional work is needed to finalize the test, preliminary analysis indicates that the test has high reliability and validity.
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TEAM MEMBERS:
Sarah LopezWade GoodridgeIsaac GouglerDaniel KaneNatalie Shaheen
This paper seeks to illustrate the first steps in a process of adapting an existing, valid, and reliable spatial ability instrument – the Mental Cutting Test (MCT) – to assess spatial ability among blind and low vision (BLV) populations. To adapt the instrument, the team is developing three-dimensional (3-D) models of existing MCT questions such that a BLV population may perceive the test tactilely with their hands.
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TEAM MEMBERS:
Tyler AshbyWade GoodridgeBJ CallSarah LopezNatalie Shaheen
resourceresearchMuseum and Science Center Exhibits
An adapted three-dimensional model of place attachment is proposed as a theoretical framework from which place-based citizen science experiences and outcomes might be empirically examined in depth.
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TEAM MEMBERS:
Julia ParrishYurong HeBenjamin Haywood
The Green Bank Observatory organized a community workshop on research experiences for high school students in disciplines supported by NSF’s Directorate for Mathematical and Physical Sciences (MPS). The workshop was intended as a forum for sharing, gathering community input, and illuminating best practices in providing research experiences to high school students and organizing such research activities across universities, labs, and observatories. The input gathered from the workshop may be useful to others wanting to support K-12 research activities.
It is often stated that solving the global challenges presented by the 21st century requires a United States workforce with training in STEM fields, and that the STEM workforce may be insufficient to fill that need. Education research literature in STEM suggests that engaging students early and often in authentic research experiences enhances STEM identity, STEM self-efficacy, and STEM career interest: three personal attributes that are linked to entry into and persistence on a STEM career pathway. Much of this literature is focused on college students, however. This workshop convened people and organizations who have designed and implemented research experiences for high school students, and who will examine the role such experiences can play in the development of a student’s interest and STEM identity.
Data science is ever-present in modern life. The need to learn with and about data science is becoming increasingly important in a world where the quantity of data is constantly growing, where one’s own data are often being harvested and marketed, where data science career opportunities are rapidly increasing, and where understanding statistics, data sources, and data representation is integral to understanding STEM and the world around us. Museums have the opportunity to play a critical role in introducing the public to data science concepts in ways that center personal relevance, social connections and collaborative learning. However, data science and statistics are difficult concepts to distill and provide meaningful engagement with during the brief learning experiences typical to science museums. This Pilot and Feasibility study brings together data scientists, data science educators, and museum exhibit designers to consider these questions:
What are the important data science concepts for the public to explore and understand in museum exhibits?
How can museum exhibits be designed to support visitors with diverse backgrounds and experiences to engage with these data science concepts?
What principles can shape these designs to promote broadening participation in data science specifically and STEM more broadly?
This Pilot and Feasibility project combines multidisciplinary expert convening, feasibility testing, and early exploratory prototyping around the focal topic of data science exhibits. Project partners, TERC, the Museum of Science, Boston, and The Tech Interactive in San Jose will engage in an iterative process to develop a theoretical grounding and practical guidance for museum practitioners. The project will include two convenings, bringing together teams of experts from the fields of data science, data science education and museum exhibit design. Prior to the first convening, an initial literature summary and a survey of convening participants will be conducted, culminating in a preliminary list of big ideas about data science. Periodically, participants will have the opportunity to rank, annotate and expand this list, as a form of ongoing data collection. During the convenings, participants will explore the preliminary list, share related work from the three disciplines, engage with related data science activities in small groups, and work together to build consensus around promising data science topics and approaches for exhibits. Participant evaluation will allow for iterative improvement of the convenings and the capture of missed points or overlooked topics. After each convening, museum partners will create prototypes that respond to the convening conversations. Prototypes will be pilot tested (evaluated) with an intentionally recruited group of families that includes both frequent visitors and those who are less likely to visit the museum; diversity in terms of race, languages and dis/ability will be reflected in selection. Pilot data collection will consist of structured observations and interviews. Results from the first round of prototyping will be shared with convening participants as a way to modify the list of big ideas and to further interrogate the feasibility of communicating these ideas in an exhibit format. Results from the convenings and from both rounds of prototyping will be combined in a guiding document that will be shared on all three partner websites, and more broadly with the informal STEM learning field. The team will also host a workshop for practitioners interested in designing data science exhibits, and present at a conference focused on museum exhibits and their design.
The New York Hall of Science (NYSCI) will convene a two-day participatory design conference of to identify research and education opportunities in informal settings for supporting literacy concerning Artificial Intelligence (AI), especially for diverse and underserved youth whose communities are impacted by the bias in some AI processes. AI uses computer systems that simulate human intelligence. AI systems impact nearly every aspect of daily living, performing tasks underlying navigation apps, facial recognition, e-payments, and social media. AI can perpetuate inequities and biased outcomes in the culture at large. The conference will explore how to promote engagement and conceptual learning among youth about how AI works and what skills are needed to critically use and apply AI. The conference will also explore ways to support the interests of diverse and underserved children and youth in shaping AI and joining the growing STEM workforce that will use AI in their professions.
The conference will identify key features and needs with respect to AI literacy and explore the specific roles that informal learning can play in advancing AI literacy for youth in diverse and underserved communities. Participants in the conference will include designers, learning scientists, researchers, informal and formal educators, and science center professionals. Attendees will work in separate teams and as a group to explore and critique existing AI tools and learning frameworks, discuss lessons learned from promising AI literacy programs, and identify design principles and future directions for research. Specific attention will be paid to informal mechanisms of engagement, promising networks, and research-practice partnerships that take advantage of the unique affordances of informal learning and community services to accelerate AI literacy for historically excluded youth. The insights gained from this work will result in a set of research and programmatic priorities for informal institutions to promote AI literacy in culturally responsive ways. The resulting published guide and community events will broadly disseminate priorities and design principles generated by this convening to help informal learning institutions and community learning organizations identify both assets and priorities for addressing diversity, equity, access, and inclusion issues related to AI literacy.
Community voice, alongside academic voice, is essential to the core community engagement principle of reciprocity—the seeking, recognizing, respecting, and incorporating the knowledge, perspectives, and resources that each partner brings to a collaboration. Increasing the extent to which academic conferences honor reciprocity with community members is important for many reasons. For example, community perspectives often enhance knowledge generation and potentially transform scholarship, practice, and outcomes for all stakeholders. However, community presence and participation at academic
Inclusive science communication (ISC) is a new and broad term that encompasses all efforts to engage specific audiences in conversations or activities about science, technology, engineering, mathematics, and medicine (STEMM) topics, including, but not limited to, public engagement, informal science learning, journalism, and formal science education. Unlike other approaches toward science communication, however, ISC research and practice is grounded in inclusion, equity, and intersectionality, making these concerns central to the goals, design, implementation, evaluation, and refinement of
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TEAM MEMBERS:
Katherine CanfieldSunshine Menezes
resourceresearchProfessional Development, Conferences, and Networks
On September 5–6, 2018, the Exploratorium hosted the Conference on Mobile Position Awareness Systems and Solutions (COMPASS). The 80 attendees were from throughout the United States, and from Canada, Australia, New Zealand, the United Kingdom, and Sweden. Speakers and panelists from museums, academia, industry, and research discussed indoor location projects related to informal learning, increasing accessibility, addressing privacy, and understanding visitor behavior. This publication presents the conference proceedings, with summaries of each session organized chronologically. The goals of
The Rural Informal STEM Conference (RISC), sponsored by the National Science Foundation (NSF) and held at its headquarters on September 13–14, 2018, was the first of its kind to bring together key innovators and experts in rural STEM learning outside of school. People who live in rural settings are a frequently overlooked and significantly under-represented STEM audience, who number roughly 60 million Americans.
The conference addressed questions about the overall status of informal (out of school) STEM learning in rural places, including the following: How do we define rural places? What
With stories of struggle and dramatic breakthroughs, science has incredible potential to interest the public. However, as the rhetoric of outrage surrounds controversies over science policy there is an urgent need for credible, trusted voices that frame science issues in a way that resonates with a diverse public. A network of informal educators, park rangers, museum docents and designers, and zoo and aquarium interpreters are prepared to do so during millions of visits a year; just where science stories are most meaningfully told—in the places where members of the public are open to learning
Many scientists want to connect with the public, but their efforts to do so are not always easy or effective. Visionary programs and institutions are leading the way identifying the support needed to enable scientists’ connections with the public. However, the current appetite by -- and demand for -- scientists to do this exceeds the capacity of those who facilitate quality communication and engagement efforts. More can be done to ensure that those who support scientists are networked, sharing best practices, and supported by a reliable infrastructure.
This workshop series, convened by the Kavli, Rita Allen, Packard and Moore Foundations, was intended to view the entire system of people who support scientists’ engagement and communication efforts in order to explore how this system can be most effective and sustainable. The discussions examined where this system is thriving, the limits people within the system face and what can be done to ensure their efforts are commensurate with the demand for quality communication and engagement support.
Conducted over four closely scheduled workshops in late 2017 and early 2018, the convenings brought together leaders in different parts of the field who bridge scientists and the public and led to the emergence of a number of key priority areas. While the initial intention was to also hold a plenary event to provide a more holistic view of scientists’ support system in order to collectively discern directions to advance the field, we feel a more efficient way forward right now is to focus our efforts and resources on building community and advancing these priority areas.
Our invitation-only workshops brought together scientists, academic leaders, engagement professionals, researchers, communication trainers, and foundation leaders. For each workshop, we also commissioned a “landscape overview”, to better understand the high-level state of each community. Workshops included:
Workshop I: Communication and engagement training programs - Dec. 4-5, 2017 at SUNY Global Center/Alan Alda Center for Communicating Science in New York
Workshop II: Associations, societies and other professional organizations - Feb. 28 - March 1, 2018 at the Howard Hughes Medical Institute in Chevy Chase, MD
Workshop III: Academic institutions - March 27-28, 2018 at UC San Diego
Workshop IV: Science engagement facilitators (museums, science festivals, connectors) - May 2-3, 2018 at Monterey Bay Aquarium
TBD - Workshop V: Plenary event
The goal of the workshops was to explore how to ensure scientists’ communication and engagement support is effective and sustained. In doing so, we hoped to 1) deepen our understanding of how scientists are currently supported in these areas, 2) map the broader support system to expose the opportunities and obstacles that play a role in achieving this goal, and 3) identify strategic and practical next steps that move us closer to this goal. This initiative also aimed to forge and strengthen networks across communities and institutions – and in so doing, take a view of the entire system to explore how everyone can better ensure their efforts are impactful, mutually supportive, and connected to a greater whole.
Included in the links below are summaries from each workshop.