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.
The Peg + Cat ELM2 project sought to combine robust media-integrated teacher training in both math content and facilitation of classroom and family engagement activities with transmedia resources that parents and children could utilize at home. This cohesive approach resulted in increases in teachers’ confidence in and knowledge about their mathematics instruction, parents’ engagement in activities and conversations with their children around math, and children’s positive and persistent attitudes towards math, as reported by their parents. Taken together, these findings suggest that the Peg +
Purpose: This project will develop and test Kiko's Thinking Time, a series of game apps designed to strengthen children's cognitive skills related to executive functioning and reasoning. A principle objective of preschool is to prepare children for later success in school. Most programs focus on activities to support children's social and emotional development, and to strengthen pre-reading and mathematics competencies. Fewer programs explicitly focus on fostering children's executive function and reasoning skills—even though research in the cognitive sciences demonstrates these skills also provide a foundation for school-readiness.
Project Activities: During Phase I (completed in 2014), the team developed six prototype games and a teacher portal to track student progress. At the end of Phase I, results from a pilot study with 55 kindergarten students and 5 teachers demonstrated that the games operated as intended. Results indicated that students were engaged based on duration of game play, and that teachers were able to review game data for each child. In Phase II, the team will develop 15 more games and will further refine and enhance the functionality of the teacher portal. After development is complete, a pilot study will assess the feasibility and usability, fidelity of implementation, and the promise of the games for promoting students' executive functioning and reasoning. The researchers will collect data from 200 students in 10 preschool classrooms over 2 months. Half of the students in each class will be randomly assigned to use Kiko's Thinking Time while the other half will play an art-focused gaming app. Analyses will compare pre-and-post scores on measures of student's executive functioning and reasoning.
Product: Kiko's Thinking Time will be an app with 25 games, each based on tasks shown to have cognitive benefits in lab research. Each game will be designed to isolate and train skills related to executive functioning, such as: working memory, reasoning, inhibition, selective attention, cognitive flexibility, and spatial skills. Game play will be self-guided and adaptive, as the software will adjust in difficulty based on student responses. The app will work on tablets, smartphones, as well desktops. In addition, a companion website will allow teachers to track student performance and to obtain educational material around executive function and cognitive development.
The Common Core's higher academic standards are forcing schools into a false dichotomy of reducing playtime in favor of more time to learn math and literacy. But play can deepen learning even in core content areas.
In this chapter, we explore making as a learning process in the context of a museum-based maker space designed for family participation. In particular, we focus on young children, and their adult learning partners, as an important demographic to consider and for which to design making environments and experiences. Importantly, we take a close look at the evolving role of museum educators in supporting young children's meaningful participation in making as an informal learning process. Through the presentation of a single case of a child's making in the museum, we identify key factors that
Maker Corps is a program delivered by the Maker Education Initiative (Maker Ed) to increase organizational capacity to develop and deliver maker programing. Since its inception in 2013, the program has grown to support over 100 organizations by providing professional development, connections to a community of other maker educators and individualized support. Over time the program elements have changed in response to feedback from participants, collaboration with evaluators and shifts in focus for Maker Ed’s goals. In the spirit of maker education – tinkering, observing, responding, iterating –
Brooklyn Botanical Garden, Brooklyn NY
Audience Research for a New Garden, 2016
The Brooklyn Botanic Garden (BBG) contracted Randi Korn & Associates, Inc. (RK&A), to conduct a study of visitors to the Discovery Garden. The goal of this study was to assess the successes and challenges of the exhibition and accompanying interactive elements to support the BBG in improving the Discovery Garden.
How did we approach this study?
RK&A used three methodologies to address the study objectives, based on specific outcomes developed by BBG for the Discovery Garden. Data were collected through
The Bay Area Regional Collaboration to Expand and Strengthen STEM (RECESS) is a regional, unified STEM continuum effort from preschool through graduate school and career. RECESS is based on successful collective impact efforts in other fields and employs a participatory action research (PAR) approach to broaden participation in STEM. In the PAR framework, youth and their families will help to define the issues and develop expertise about community needs through a shared research process.
RECESS introduces participatory action research as an innovative element to the collective impact social agency framework. The intent is to determine the extent to which the engagement and involvement of the students and communities targeted can effectively shape the function of the collective impact network of organizations.
During the two year planning phase, RECESS (a) conducts a comprehensive needs assessment and gap analysis; (b) establishes a functioning organization of stakeholders with a common agenda and governance model; and (c) develops a detailed action plan. It is a significant contribution to the body of knowledge on effective and innovative collective impact structures designed to promote STEM education and participation.
The Colleges of Science & Engineering and Graduate Education, and the Metro Academies College Success Program (Metro) at San Francisco State University in partnership with San Francisco Unified School District and the San Francisco Chamber of Commerce develop an integrated approach for computing education that overcomes obstacles hampering broader participation in the U.S. science, technology, engineering and mathematics (STEM) workforce. The partnership fosters a more diverse and computing-proficient STEM workforce by establishing an inclusive education approach in computer science (CS), information technology, and computer engineering that keeps students at all levels engaged and successful in computing and graduates them STEM career-ready.
Utilizing the collective impact framework maximizes the efficacy of existing regional organizations to broaden participation of groups under-educated in computing. The collective impact model establishes a rich context for organizational engagement in inclusive teaching and learning of CS. The combination of the collective impact model of social agency and direct engagements with communities yields unique insights into the views and experiences of the target population of students and serves as a platform for national scalable networks.
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TEAM MEMBERS:
Keith BowmanIlmi YoonLarry HorvathEric HsuJames Ryan
This study was a longitudinal summative evaluation of repeat visitors’ experiences in four Math Moves! exhibitions that were developed as part of a large collaborative exhibition development project called Math Core for Museums, and mounted at four museums around the country: Museum of Science (Boston); Museum of Life & Science (Durham, NC); Explora (Albuquerque); and Science Museum of Minnesota (St. Paul). The summative evaluation purposively selected four family groups at each institution and collected naturalistic data as the 16 groups engaged with the exhibits from 4-6 times over a two
This one-year Collaborative Planning project seeks to bring together an interdisciplinary planning team of informal and formal STEM educators, researchers, scientists, community, and policy experts to identify the elements, activities, and community relationships necessary to cultivate and sustain a thriving regional early childhood (ages 3-6) STEM ecosystem. Based in Southeast San Diego, planning and research will focus on understanding the needs and interests of young Latino dual language learners from low income homes, as well as identify regional assets (e.g., museums, afterschool programs, universities, schools) that could coalesce efforts to systematically increase access to developmentally appropriate informal STEM activities and resources, particularly those focused on engineering and computational thinking. This project has the potential to enhance the infrastructure of early STEM education by providing a model for the planning and development of early childhood focused coalitions around the topic of STEM learning and engagement. In addition, identifying how to bridge STEM learning experiences between home, pre-k learning environments, and formal school addresses a longstanding challenge of sustaining STEM skills as young children transition between environments.
The planning process will use an iterative mixed-methods approach to develop both qualitative and quantitative and data. Specific planning strategies include the use of group facilitation techniques such as World Café, graphic recording, and live polling. Planning outcomes include: 1) a literature review on STEM ecosystems; 2) an Early Childhood STEM Community Asset Map of southeast San Diego; 3) a set of proposed design principles for identifying and creating early childhood STEM ecosystems in low income communities; and 4) a theory of action that could guide future design and research. This project is funded by the Advancing Informal STEM Learning program, which seeks to advance new approaches to, and evidence-based understanding of, the design and development of STEM learning in informal environments.
The project will develop and research a new system that bridges the advantages of physical and virtual worlds to improve young children's inquiry-based science learning and engagement in a collaborative way. The project will use innovative technology and successful techniques developed for adaptive tutoring systems and bring this core research into informal learning settings where they haven't been applied before, with the goal of increasing engagement, learning and deep inquiry-based understanding in these environments. Museums and similar informal learning settings offer opportunities for children and families to learn together in an engaging way. However, without learning supports provided by people, signage, or technology, people often miss the point of the learning activity in museums. The project will develop a new genre of "intelligent" interactive science exhibits that combine proven intelligent tutoring system approaches with camera-based vision sensing to add a new layer to hands-on museum exhibits. This intelligent layer provides personalized interactive feedback to museum visitors while they experiment with physical objects in the real world. The project is a collaborative effort led by the Human Computer Interaction Institute at Carnegie Mellon University in partnership with the University of Pittsburgh Learning Research and Development Center, Children's Museum of Pittsburgh, and Carnegie Science Center. It is supported by the Advancing Informal STEM Learning (AISL) program funds research and innovative resources for use in a variety of settings, as a part of its overall strategy to enhance learning in informal environments.
The project will research whether and how learning principles and adaptive, computer-based technologies that are effective in formal school learning be made effective in an informal museum experience with hands-on activities to enhance the learning and engagement of children and parents. The system will use intelligent camera sensing that tracks and notices children's interaction in physical and virtual spaces and provides adaptive personalized feedback via the help of an engaging character. It guides the children as well as the parents to engage in productive dialogue, helping shape a better parent-child interaction. To investigate this, the project will further develop an innovative mixed-reality system and smart adaptive system that gives personalized feedback to visitors based on their actions, guiding them to understand the world around them like a scientist. The project will gather data on learner behaviors in mixed-reality experiences in informal settings to inform how to better design intelligent science exhibits and derive patterns to support key outcomes, including learning, engagement, collaboration, and productive dialogue. The project will also research the application of these design patterns across different science content areas.
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TEAM MEMBERS:
Ken KoedingerScott HudsonKevin CrowleyNesra Yannier