The Computational Thinking in Ecosystems (CT-E) project is funded by the STEM+Computing Partnership (STEM+C) program, which seeks to advance new approaches to, and evidence-based understanding of, the integration of computing in STEM teaching and learning. The project is a collaboration between the New York Hall of Science (NYSCI), Columbia University's Center for International Earth Science Information Network, and Design I/O. It will address the need for improved data, modeling and computational literacy in young people through development and testing of a portable, computer-based simulation of interactions that occur within ecosystems and between coupled natural and human systems; computational thinking skills are required to advance farther in the simulation. On a tablet computer at NYSCI, each participant will receive a set of virtual "cards" that require them to enter a computer command, routine or algorithm to control the behavior of animals within a simulated ecosystem. As participants explore the animals' simulated habitat, they will learn increasingly more complex strategies needed for the animal's survival, will use similar computational ideas and skills that ecologists use to model complex, dynamic ecological systems, and will respond to the effects of the ecosystem changes that they and other participants elicit through interaction with the simulated environment. Research on this approach to understanding interactions among species within biological systems through integration of computing has potential to advance knowledge. Researchers will study how simulations that are similar to popular collectable card game formats can improve computational thinking and better prepare STEM learners to take an interest in, and advance knowledge in, the field of environmental science as their academic and career aspirations evolve. The project will also design and develop a practical approach to programing complex models, and develop skills in communities of young people to exercise agency in learning about modeling and acting within complex systems; deepening learning in young people about how to work toward sustainable solutions, solve complex engineering problems and be better prepared to address the challenges of a complex, global society.
Computational Thinking in the Ecosystems (CT-E) will use a design-based study to prototype and test this novel, tablet-based collectable card game-like intervention to develop innovative practices in middle school science. Through this approach, some of the most significant challenges to teaching practice in the Next Generation Science Standards will be addressed, through infusing computational thinking into life science learning. CT-E will develop a tablet-based simulation representing six dynamic, interconnected ecosystems in which students control the behaviors of creatures to intervene in habitats to accomplish goals and respond to changes in the health of their habitat and the ecosystems of which they are a part. Behaviors of creatures in the simulation are controlled through the virtual collectable "cards", with each representing a computational process (such as sequences, loops, variables, conditionals and events). Gameplay involves individual players choosing a creature and habitat, formulating strategies and programming that creature with tactics in that habitat (such as finding food, digging in the ground, diverting water, or removing or planting vegetation) to navigate that habitat and survive. Habitats chosen by the participant are part of particular kinds of biomes (such as desert, rain forest, marshlands and plains) that have their own characteristic flora, fauna, and climate. Because the environments represent complex dynamic interconnected environmental models, participants are challenged to explore how these models work, and test hypotheses about how the environment will respond to their creature's interventions; but also to the creatures of other players, since multiple participants can collaborate or compete similar to commercially available collectable card games (e.g., Magic and Yu-Go-Oh!). NYSCI will conduct participatory design based research to determine impacts on structured and unstructured learning settings and whether it overcomes barriers to learning complex environmental science.
Increasingly, the prosperity, innovation and security of individuals and communities depend on a big data literate society. Yet conspicuously absent from the big data revolution is the field of teaching and learning. The revolution in big data must match a complementary revolution in a new kind of literacy, through a significant infusion of STEM education with the kinds of skills that the revolution in 21st century data-driven science demands. This project represents a concerted effort to determine what it means to be a big data literate citizen, information worker, researcher, or policymaker; to identify the quality of learning resources and programs to improve big data literacy; and to chart a path forward that will bridge big data practice with big data learning, education and career readiness.
Through a process of inquiry research and capacity-building, New York Hall of Science will bring together experts from member institutions of the Northeast Big Data Innovation Hub to galvanize big data communities of practice around education, identify and articulate the nature and quality of extant big data education resources and draft a set of big data literacy principles. The results of this planning process will be a planning document for a Big Data Literacy Spoke that will form an initiative to develop frameworks, strategies and scope and sequence to advance lifelong big data literacy for grades P-20 and across learning settings; and devise, implement, and evaluate programs, curricula and interventions to improve big data literacy for all. The planning document will articulate the findings of the inquiry research and evaluation to provide a practical tool to inform and cultivate other initiatives in data literacy both within the Northeast Big Data Innovation Hub and beyond.
This project, a collaboration of teams at Georgia Institute of Technology, Northwestern University, and the Museum of Design Atlanta and the Museum of Science and Industry in Chicago, will investigate how to foster engagement and broadening participation in computing by audiences in museums and other informal learning environments that can transfer to at-home and in-school engagement (and vice versa). The project seeks to address the national need to make major strides in developing computing literacy as a core 21st century STEM skill. The project will adapt and expand to new venues their current work on their EarSketch system which connects computer programming concepts to music remixing, i.e. the manipulation of musical samples, beats and effects. The initiative involves a four-year process of iteratively designing and developing a tangible programming environment based on the EarSketch learning environment. The team will develop three new applications: TuneTable, a multi-user tabletop exhibit for museums; TunePad, a smaller version for use at home and in schools; and an online connection between the earlier EarSketch program and the two new devices.
The goal is to: a) engage museum learners in collaborative, playful programming experiences that create music; b) direct museum learners to further learning and computational music experiences online with the EarSketch learning environment; c) attract EarSketch learners from local area schools to visit the museum and interact with novice TuneTable users, either as mentors in museum workshops or museum guests; and d) inform the development of a smaller scale, affordable tangible-based experience that could be used at homes or in smaller educational settings, such as classrooms and community centers. In addition to the development of new learning experiences, the project will test the hypothesis that creative, playful, and social engagement in the arts with computer programming across multiple settings (e.g. museums, homes, and classrooms) can encourage: a) deeper learner involvement in computer programming, b) social connections to other learners, c) positive attitudes towards computing, and d) the use and recognition of computational concepts for personal expression in music. The project's knowledge-building efforts include research on four major questions related to the goals and evaluation processes conducted by SageFox on the fidelity of implementation, impact, success of the exhibits, and success of bridging contexts. Methods will draw on the Active Prolonged Engagement approach (unobtrusive observation, interviews, tracking-and-timing, data summaries and team debriefs) as well as Participatory Action Research methods.
This work 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.
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TEAM MEMBERS:
Michael HornBrian MagerkoJason Freeman
Computer Science (CS) education at the middle school level using educational games has seen recent growth and shown promising results. Typically these games teach the craft of programming and not the perspectives required for computational thinking, such as abstraction and algorithm design, characteristic of a CS curriculum. This research presents a game designed to teach computational thinking via the problem of minimum spanning trees to middle school students, a set of evaluation instruments, and the results of an experimental pilot study. Results show a moderate increase in minimum spanning
This document contains the appendices and literature review from the report "Art+Science: Broadening Youth Participation in STEM Learning." It includes assessment tools used during the project.
This project is making novel use of familiar technology (smartphones and tablets) to address the immediate and pressing challenge of affordable, ongoing, large-scale museum evaluation, while encouraging museum visitors to engage deeply with museum content. Using a smartphone app, museum visitors pose questions to a 'virtual scientist' called Dr. Discovery (Dr. D). Dr. D provides answers and the chance to complete fun mini-challenges. The questions visitors ask are gathered in a large database. An analytics system analyzes these data and a password-protected website provides continuous, accessible evaluation data to museum staff, helping them make just-in-time tweaks (or longer term changes) to exhibit-related content (such as multimedia, lecture topics, docent training, experience carts, etc.) as current events and visitors' needs and interests change. The intellectual merit of this project is that it is building evaluation capacity among informal educators, advancing the fields of visitor studies, museum evaluation, informal science learning, and situated engagement, and is contributing to the development of novel evaluation techniques in museums. This project has many broader impacts: The Ask Dr. Discovery system is available to any venue that wishes to use or adapt it to their context. By enhancing the visitor experience and improving museum access to data for evaluation and data-driven decision making across the country, Ask Dr. Discovery has both a direct and indirect impact on museums and visitors of all types. This project is also training the next generation of STEM and education innovators by employing a diverse team of undergraduate students.
EvalFest (Evaluation Use, Value, and Learning through Festivals of Science and Technology) will test innovative evaluation methods in science festivals that are being held across the country and assess in what ways and how effectively they are used. Morehead Planetarium and Science Center (at the University of North Carolina-Chapel Hill) and the University of California, San Francisco, in collaboration with over twenty science festivals, will (1) investigate whether a multisite evaluation approach is an effective model for creating common metrics for informal STEM education, (2) develop common methods to measure the effects of Festivals, (3) create a query-able database of 50,000 Festival attendees to share with the informal STEM learning field, and (4) document whether these efforts also result in new knowledge related to informal STEM education. The project will develop the Enterprise Feedback Management (EFM) system and query-able database for the festival community. EFMs are systems, including processes and software, that enable groups (such as the festival network) to collect, organize, analyze and share data. The EFM system will be designed to integrate data across sites and to allow users to extract data of interest. The project will refine evaluation tools currently used within the Science Festival Alliance that assess self-reported festival learning, and the effects of festival attendance, motivation, and future science participation. It will collect economic impact data and longitudinal festival attendee data. The project will also develop some new evaluation tools such as secret shopper observational protocols. Data from festival attendees will be collected onsite at participating festivals.
This early-stage design and development, integrated media and research project will contribute important new understandings to the informal science learning literature by exploring science engagement on social media when integrated with broadcast television. It will help answer questions including: What does such engagement look like? Who participates? How and why does it happen? and What is the degree or depth of engagement? The project builds on the previous successful work by WGBH nationally distributing the television series NOVA scienceNOW and the research expertise of EDC. WGBH's NOVA scienceNOW program will collaborate with EDC to develop new metrics to understand how and why learners engage with science on social media. Deliverables will include six one-hour episodes of NOVA scienceNOW, short online videos, moderated online discussion events, and an online film festival. A new social Media Initiative will develop six live broadcast microblogging events, six post-broadcast online discussion events, daily social media updates, and an online film festival that will feature user generated videos. A range of STEM content in the videos and online posts will be framed around big science and engineering questions such as animal communication and survival systems, the biology of sleep, climate change, new technologies, energy, genetics, and natural disasters. The continued innovations and expansion of social media channels provides significant new opportunities for providing learner's access to high quality science content, researchers, and opportunities to participate in science. In the first phase of this work to deepen the evidence based understanding of how social media supports informal science engagement, NOVA and EDC will collaborate to develop new measurement instruments: (1) a Network Profile to quantitatively represent the size and activity of NOVA's social media network; (2) an Informal Science Engagement (ISE) index to measure the degree of engagement by coding and analyzing conversations and posts; (3) a Follower Profile to assess the degree of activity and the nature of the engagement; and (4) a Science Social Media Engagement survey instrument. They will then use these measures and data collection protocols to explore whether and how the initiative might influence science engagement. External expert reviewers with content and methodological expertise will review all aspects of the project at critical junctures. This project will contribute important new knowledge and research instruments and methods to better understand how the learning opportunities of social media channels can be realized most effectively. This has significant potential for broad and lasting benefits to society as well as advancing the informal science learning field.
In this full-scale research and development project, Oregon State University (OSU), Oregon Sea Grant (OSG) and the Hatfield Marine Science Center Visitors Center (HMSCVC) is designing, developing, implementing, researching and evaluating a cyberlaboratory in a museum setting. The cyberlaboratory will provide three earth and marine science learning experiences with research and evaluation interwoven with visitor experiences. The research platform will focus on: 1) a climate change exhibit that will enable research on identity, values and opinion; 2) a wave tank exhibit that will enable research on group dynamics and problem solving in interactive engineering challenges; and 3) remote sensing exhibits that will enable research on visitor interactions through the use of real data and simulations. This project will provide the informal science educaton community with a suite of tools to evaluate learning experiences with emerging technologies using an iterative process. The team will also make available to the informal science community their answers to the following research questions: For the climate change exhibit, "To what extent does customizing content delivery based on real-time visitor input promote learning?" For the wave tank exhibit, "To what extent do opportunities to reflect on and share experiences promote STEM reasoning processes at a build-and-test exhibit?" For the data-sensing exhibit, "Can visitors' abilities to explain or use visualizations be improved by shaping their visual searches of images?" Mixed-methods using interviews, surveys, behavioral instruments, and participant observations will be used to evaluate the overall program. Approximately 60-100 informal science education professionals will discuss and test the viability of the exhibit's evaluation tools. More than 150,000 visitors, along with community members and local middle and high school students, will have the opportunity to participate in the learning experiences at the HMSCVC. This work contributes to the fields of cyberlearning and informal science education. This project provides the informal science education field with important knowledge about learning, customized content delivery and evaluation tools that are used in informal science settings.