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.
This Research Advanced by Interdisciplinary Science and Engineering (RAISE) project is supported by the Division of Research on Learning in the Education and Human Resources Directorate and by the Division of Computing and Communication Foundations in the Computer and Information Science and Engineering Directorate. This interdisciplinary project integrates historical insights from geometric design principles used to craft classical stringed instruments during the Renaissance era with modern insights drawn from computer science principles. The project applies abstract mathematical concepts toward the making and designing of furniture, buildings, paintings, and instruments through a specific example: the making and designing of classical stringed instruments. The research can help instrument makers employ customized software to facilitate a comparison of historical designs that draws on both geometrical proofs and evidence from art history. The project's impacts include the potential to shift in fundamental ways not only how makers think about design and the process of making but also how computer scientists use foundational concepts from programming languages to inform the representation of physical objects. Furthermore, this project develops an alternate teaching method to help students understand mathematics in creative ways and offers specific guidance to current luthiers in areas such as designing the physical structure of a stringed instrument to improve acoustical effect.
The project develops a domain-specific functional programming language based on straight-edge and compass constructions and applies it in three complementary directions. The first direction develops software tools (compilers) to inform the construction of classical stringed instruments based on geometric design principles applied during the Renaissance era. The second direction develops an analytical and computational understanding of the art history of these instruments and explores extensions to other maker domains. The third direction uses this domain-specific language to design an educational software tool. The tool uses a calculative and constructive method to teach Euclidean geometry at the pre-college level and complements the traditional algebraic, proof-based teaching method. The representation of instrument forms by high-level programming abstractions also facilitates their manufacture, with particular focus on the arching of the front and back carved plates --- of considerable acoustic significance --- through the use of computer numerically controlled (CNC) methods. The project's novelties include the domain-specific language itself, which is a programmable form of synthetic geometry, largely without numbers; its application within the contemporary process of violin making and in other maker domains; its use as a foundation for a computational art history, providing analytical insights into the evolution of classical stringed instrument design and its related material culture; and as a constructional, computational approach to teaching geometry.
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.
Data are the workhorses of the scientific endeavor and their use is rapidly evolving (Haendel, Vasilevsky, and Wirz 2012). Ask almost any scientist about their work, and the conversation will involve the data they collect and analyze. The use of data in science is often captured in science classrooms as an ill-defined link between math and science that may not reflect authentic data practices (Tanis Ozcelik and McDonald 2013). Students often find themselves collecting data to confirm obvious conclusions within highly structured labs, and data become a way for students to demonstrate the
The University of Texas at Austin's Texas Advanced Computing Center, Chaminade University of Honolulu (CUH), and the Georgia Institute of Technology will lead this NSF INCLUDES Design and Development Launch Pilot (DDLP) to establish a model for data science preparation of Native Hawaiian and Pacific Islander (NHPI) students at the high school and undergraduate levels. The project is premised on the promise of NHPI communities gaining access to, and the ability to work with, large data sets to tackle emerging problems in the Pacific. Such agency over "big data" sets that are relevant to Pacific issues, and contemporary skills in data science, analytics and visualization have the potential to be transformative for community improvement efforts. The effort has the potential to advance knowledge, instructional pedagogy and practices to improve NHPI high school and undergraduate students performance in and attraction to STEM education and careers.
The project team will work to: 1) Increase interest and proficiency in data science and visualization among NHPI high school and undergraduate students through a summer immersion experience that bridges computation and culture; 2) Build data science capacity at an NHPI serving undergraduate institution (CUH) through creation of a certificate program; and 3) Develop and expand partnerships with other organizations with related goals working with NHPI populations. The month-long summer training for 20 NHPI college students, and five NHPI high school students, takes place at CUH and focuses on data science, visualization, and virtual reality, including working on problem sets that require data science approaches and incorporate geographically, socially- and culturally-relevant research themes.
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 Research in Service to Practice project will address the issues around Informal Education of rural middle school students who have high potential regarding academic success in efforts to promote computer and IT knowledge, advanced quantitative knowledge, and STEM skills. Ten school districts in rural Iowa will be chosen for this study. It is anticipated that new knowledge on rural informal education will be generated to benefit the Nation's workforce. The specific objectives are to understand how informal STEM learning shapes the academic and psychosocial outcomes of rural, high-potential students, and to identify key characteristics of successful informal STEM learning environments for rural, high-potential students and their teachers. The results of this project will provide new tools for educators to increase the flow of underserved students into STEM from economically-disadvantaged rural settings.
The President's Council of Advisors on Science and Technology predicts a rapid rise in the number of STEM jobs available in the next decade, describing an urgent need for students' educational opportunities to prepare them for this workforce. In 2014, 62% of CEOs of major US corporations reported challenges filling positions requiring advanced computer and information technology knowledge. The project team will use a mixed methods approach, integrating comparative case study and mixed effects longitudinal methods, to study the Excellence program. Data sources include teacher interviews, classroom observations, and student assessments of academic aptitude and psychosocial outcomes. The analysis and evaluation of the program will be grounded in understanding the local efforts of school districts to build curriculum responsive to the demands of their high-potential student body. The project design, and subsequent analysis plan, utilizes a mixed methods approach, incorporating case study and longitudinal quantitative methods to analyze naturalistic data and build robust evidence for the implementation and impact of this program. This project will provide significant insights in how best to design, implement, and support informal out-of-school learning environments to broaden participation in the highest levels of STEM education and careers for under-resourced rural students.
"Local Investigations of Natural Science (LIONS)" engages grade 5-8 students from University City schools, Missouri in structured out-of-school programs that provide depth and context for their regular classroom studies. The programs are led by district teachers. A balanced set of investigations engage students in environmental research, computer modeling, and advanced applications of mathematics. Throughout, the artificial boundary between classroom and community is bridged as students use the community for their studies and resources from local organizations are brought into school. Through these projects, students build interest and awareness of STEM-related career opportunities and the academic preparation needed for success.
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TEAM MEMBERS:
Robert CoulterEric KlopferJere Confrey
This is a Science Learning+ planning project that will develop a plan for how to conduct a longitudinal study using existing data sources that can link participation in science-focused programming in out-of-school settings with long-range outcomes. The data for this project will ultimately come from "mining" existing data sets routinely collected by out-of-school programs in both the US and UK. 4H is the initial out-of-school provider that will participate in the project, but the project will ideally expand to include other youth-based programs, such as Girls Inc. and YMCA. During the planning grant period, the project will develop a plan for a longitudinal research study by examining informal science-related factors and outcomes including: (a) range of educational outcomes, (b) diversity and structure of learning activities, (c) links to formal education experiences and achievement measures, and (d) structure of existing informal science program data collection infrastructure. The planning period will not involve actual mining of existing data sets, but will explore the logistics regarding data collection across different informal science program, including potential metadata sets and instruments that will: (a) identify and examine data collection challenges, (b) explore the implementation of a common data management system, (c) identify informal science programs that are potential candidates for this study, (d) compare and contrast data available from the different programs and groups, and (e) optimize database management.
Making Stuff Season Two is designed to build on the success of the first season of Making Stuff by expanding the series content to include a broader range of STEM topics, creating a larger outreach coalition model and a “community of practice,” and developing new outreach activities and digital resources. Specifically, this project created a national television 4-part miniseries, an educational outreach campaign, expanded digital content, promotion activities, station relations, and project evaluation. These project components help to achieve the following goals: 1. To increase public understanding that basic research leads to technological innovation; 2. To increase and sustain public awareness and excitement about innovation and its impact on society; and 3. To establish a community of practice that enhances the frequency and quality of collaboration among STEM researchers and informal educators. These goals were selected in order to address a wider societal issue, and an important element of the overall mission of NOVA: to inspire new generations of scientists, learners, and innovators. By creating novel and engaging STEM content, reaching out to new partners, and developing new outreach tools, the second season of Making Stuff is designed to reach new target audiences including underserved teens and college students crucial to building a more robust and diversified STEM workforce pipeline. Series Description: In this four-part special, technology columnist and best-selling author David Pogue takes a wild ride through the cutting-edge science that is powering a next wave of technological innovation. Pogue meets the scientists and engineers who are plunging to the bottom of the temperature scale, finding design inspiration in nature, and breaking every speed limit to make tomorrow's "stuff" "Colder," "Faster," "Safer," and "Wilder." Making Stuff Faster Ever since humans stood on two feet we have had the basic urge to go faster. But are there physical limits to how fast we can go? David Pogue wants to find out, and in "Making Stuff Faster," he’ll investigate everything from electric muscle cars and the America’s cup sailboat to bicycles that smash speed records. Along the way, he finds that speed is more than just getting us from point A to B, it's also about getting things done in less time. From boarding a 737 to pushing the speed light travels, Pogue's quest for ultimate speed limits takes him to unexpected places where he’ll come face-to-face with the final frontiers of speed. Making Stuff Wilder What happens when scientists open up nature's toolbox? In "Making Stuff Wilder," David Pogue explores bold new innovations inspired by the Earth's greatest inventor, life itself. From robotic "mules" and "cheetahs" for the military, to fabrics born out of fish slime, host David Pogue travels the globe to find the world’s wildest new inventions and technologies. It is a journey that sees today's microbes turned into tomorrow’s metallurgists, viruses building batteries, and ideas that change not just the stuff we make, but the way we make our stuff. As we develop our own new technologies, what can we learn from billions of years of nature’s research? Making Stuff Colder Cold is the new hot in this brave new world. For centuries we've fought it, shunned it, and huddled against it. Cold has always been the enemy of life, but now it may hold the key to a new generation of science and technology that will improve our lives. In "Making Stuff Colder," David Pogue explores the frontiers of cold science from saving the lives of severe trauma patients to ultracold physics, where bizarre new properties of matter are the norm and the basis of new technologies like levitating trains and quantum computers. Making Stuff Safer The world has always been a dangerous place, so how do we increase our odds of survival? In "Making Stuff Safer," David Pogue explores the cutting-edge research of scientists and engineers who want to keep us out of harm’s way. Some are countering the threat of natural disasters with new firefighting materials and safer buildings. Others are at work on technologies to thwart terrorist attacks. A next-generation vaccine will save millions from deadly disease. And innovations like smarter cars and better sports gear will reduce the risk of everyday activities. We’ll never eliminate danger—but science and technology are making stuff safer.
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WGBH Educational FoundationPaula Apsell
The article discusses the Science, Technology, Engineering and Mathematics: Information, Technology and Scientific Literacy (STEM-ALL) for ALl Learners project of Emporia State University, Kansas. The project is an interdisciplinary program for teaching information, technology and scientific-literacy that brings STEM content into Master of Library Science curriculum. It aims to create an Information, Technology and Scientific Literacy Certificate for educators to earn across degree programs.
This paper describes the integration of handheld computer technology into an existing web-based educational platform, the Web-based Inquiry Science Environment (WISE) and the synergy it produces. This solution facilitated a research program that explores how handheld computers (PDAs, palmtops, etc.) can expand the scope and functionality of inquiry activities in K-12 science and mathematics curriculum. The paper presents the WISE software and curriculum and explains how combining it with handheld technology creates unique educational opportunities. It then goes on to describe the system that
Open collaborative authoring systems such as Wikipedia are growing in use and impact. How well does this model work for the development of educational resources? In particular, can volunteers contribute materials of sufficient quality? Could they create resources that meet students’ specific learning needs and engage their personal characteristics? Our experiment explored these questions using a novel web-based tool for authoring worked examples. Participants were professional teachers (math and non-math) and amateurs. Participants were randomly assigned to the basic tool, or to an enhanced
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Turadg AleahmadVincent AlevanRobert Kraut
FUSE is a new kind of interest-driven learning experience being developed by researchers at Northwestern University with the goal of engaging pre-teens and teens in science, technology, engineering, arts/design, and mathematics (STEAM) topics while fostering the development of important 21st century skills including adaptive problem solving, creativity, self-directed learning, persistence, and grit. FUSE is now offered in-school, after-school, and on the weekends at 23 different locations in the greater Chicago area. Through FUSE, teens can "hang out, mess around and geek out" with the FUSE set of challenges, the core activities in our Studios. Each challenge uses a leveling up model from gaming and is carefully designed to engage teens in different STEAM topics and skills sets. FUSE currently has 21 challenges in areas such as robotics, electronics, biotechnology, graphic design, Android app development, 3D printing and more. New challenges are always in development. FUSE Challenges can be tackled individually or in groups. Professional scientists, engineers, advanced undergraduates, and graduate students are available as mentors and provide a real-world connection to the concepts learned and practiced through the challenges. All challenges result in digital media artifacts that are shared online for peer review, remixing, expert judging, and collaboration. We designed the FUSE program to appeal to the interests of all young people, especially those youth who are not interested in or don't think of themselves as "good at" math and science in school. FUSE challenges provide a new way to explore science, technology, engineering, arts and design, and math in a fun and relaxed way. FUSE is based on many years of research in the learning sciences by faculty in School of Education and Social Policy at Northwestern University.