Smartphones and other mobile devices like the iPhone, Android, Kindle Fire, and iPad have boosted educators' interest in using mobile media for education. Applications from games to augmented reality are thriving in research settings, and in some cases schools and universities, but relatively little is known about how such devices may be used for effective learning. This article discusses the selection and potential use of electronic games, simulations and augmented reality in mobile learning supported by an operational model called AIDLET. After analyzing the different approaches to the use
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Jose BidarraMegan RothschildKurt SquireMauro Figueiredo
Science museums, science centers, zoos, and aquariums (MCZAs) constitute major settings of science learning with unique characteristics of informal science education. Emphasis will be given to the analysis of four specific characteristics of MCZAs that seem relevant for educational research and practice, namely, conditions of mixed motives and goals, staged popular science, and impact of physical layout, as well as the role of social exchange and participation. By doing so, we focus on the consequences of these characteristics for the learning processes and outcomes of visits of MCZAs. We show
This project supports the Broader Impacts and Outreach Network for Institutional Collaboration (BIONIC), a national Research Coordination Network of Broader Impacts to support professionals who assist researchers to design, implement, and evaluate the Broader Impacts activities for NSF proposals and awards. All NSF proposals are evaluated not only on the Intellectual Merit of the proposed research, but also on the Broader Impacts of the proposed work, such as societal relevance, educational outreach, and community engagement. Many institutions have begun employing Broader Impacts support professionals, but in most cases, these individuals have not worked as a group to identify and share best practices. As a consequence, there has been much duplication of effort. Through coordination, BIONIC is expected to improve efficiency, reduce redundancy, and have significant impact in several areas: 1) Researchers will benefit from an increased understanding of the Broader Impacts merit review criterion and increased access to collaborators who can help them design, implement, and evaluate their Broader Impacts activities; 2) Institutions and research centers will increase their capacity to support Broader Impacts via mentoring for Broader Impacts professionals and consulting on how to build Broader Impacts support infrastructure, with attention to inclusion of non-research-intensive universities, Historically Black Colleges and Universities, and Hispanic- and Minority-Serving Institutions that may not have the resources to support an institutional Broader Impacts office; and 3) NSF, itself, will benefit from a systematic and consistent approach to Broader Impacts that will lead to better fulfillment of the Broader Impacts criterion by researchers, better evaluation of Broader Impacts activities by reviewers and program officers, and a system for evaluating the effectiveness of Broader Impacts activities in the aggregate, as mandated by Congress and the National Science Board. Through its many planned activities, BIONIC will ultimately help advance the societal aims that the Broader Impacts merit review criterion was meant to achieve.
The main goals of the project will be accomplished through the four specific objectives: 1) Identify and curate promising models, practices, and evaluation methods for the Broader Impacts community; 2) Expand engagement in, and support the development of, high-quality Broader Impacts activities by educating current and future faculty and researchers on effective practices; 3) Develop the human resources necessary for sustained growth and increased diversity of the Broader Impacts community; and 4) Promote cross-institutional collaboration and dissemination for Broader Impacts programs, practices, models, materials, and resources. BIONIC will facilitate collaborative Broader Impacts work across institutions, help leverage previously developed resources, support professional development, and train new colleagues to enter into the Broader Impacts field. This project will improve the quality and sustainability of Broader Impacts investments, as researchers continue to create unique and effective activities that are curated and broadly disseminated. BIONIC will create a network designed to assist NSF-funded researchers at their institutions in achieving the goals of the Broader Impacts Review Criterion. In so doing, BIONIC will promote Broader Impacts activities locally, nationally, and internationally and help to advance the Broader Impacts field.
This award is co-funded by the Divisions of Molecular and Cellular Biosciences and Emerging Frontiers in the Directorate for Biological Sciences and by the Division of Chemistry in the Directorate for Mathematics and Physical Sciences.
The United Nations Strategic Plan for Biodiversity 2011-2020 is a key initiative within global efforts to halt and eventually reverse the loss of biodiversity. The very first target of this plan states that "by 2020, at the latest, people are aware of the values of biodiversity and the steps they can take to conserve and use it sustainably." Zoos and aquariums worldwide, attracting more than 700 million visits every year, could potentially make a positive contribution to this target. However, a global evaluation of the educational impacts of visits to zoos and aquariums is entirely lacking in
The National Science Foundation (NSF) Climate Change Education Partnership Alliance (CCEPA) is a consortium made up of the six Phase II Climate Change Education Partnership (CCEP-II) program awardees funded in FY 2012. Collectively, the CCEPA is establishing a coordinated network devoted to increasing the adoption of effective, high quality educational programs and resources related to the science of climate change and its potential impacts. The establishment of a CCEPA Coordination Office addresses the need for a coordinating body that leverages and builds upon the CCEPA projects' individual initiatives. The CCEPA Coordination Office facilitates interactions to leverage a successful network of CCEP-II projects and individuals engaged in increasing climate science literacy. The efforts of the Coordination Office advance knowledge and understanding of how to effectively network related, but different, projects into a cohesive enterprise. The goal is to coordinate a functional network, where the whole is greater than the sum of the parts.
The CCEPA Coordination Office at the University of Rhode Island is helping to move the CCEPA network forward on a number of key initiatives that strengthen it, reduce duplication, and enhance its overall impact. An important role of the Coordination Office is the facilitation of the transfer of best practices between projects. An effective network forges collaborations and establishes communities of practice through network working groups, building intellectual capital network-wide. The CCEPA Coordination Office has a key role in assisting the CCEPA project PIs and staff to disseminate the results of their work. Partnerships with other relevant societies and organizations assist the Coordination Office in identifying opportunities and synergies for sharing, disseminating, and leveraging network products as well as best practices that emerge as Earth system science education models and tools are evaluated. This endeavor broadens the collective impact of the individual projects across the country.
In this theoretical paper we explore the use of narrative as a learning tool in informal science settings. Specifically, the purpose of this paper is to explore how narrative can be applied to exhibits in the context of science centers to scaffold visitors science learning. In exploring this idea, we analyze the theoretical, structural and epistemological properties of narrative. In the pages that follow, we first discuss the advantages and possibilities for learning that science centers offer alongside challenges and limitations. Next, we discuss the role of narrative in science, as a tool
This project takes an ethnographic and design-based approach to understanding how and what people learn from participation in makerspaces and explores the features of those environments that can be leveraged to better promote learning. Makerspaces are physical locations where people (often families) get together to make things. Some participants learn substantial amounts of STEM content and practices as they design, build, and iteratively refine working devices. Others, however, simply take a trial and error approach. Research explores the affordances are of these spaces for promoting learning and how to integrate technology into these spaces so that they are transformed from being makerspaces where learning happens, but inconsistently, into environments where learning is a consistent outcome of participation. One aim is to learn how to effectively design such spaces so that participants are encouraged and helped to become intentional, reflective makers rather than simply tinkerers. Research will also advance what is known about effective studio teaching and learning and advance understanding of how to support youth to help them become competent, creative, and reflective producers with technology(s). The project builds on the Studio Thinking Framework and what is known about development of meta-representational competence. The foundations of these frameworks are in Lave and Wengers communities of practice and Rogoff's, Stevens et al.'s, and Jenkins et al.'s further work on participatory cultures for social networks that revolve around production. A sociocultural approach is taken that seeks to understand the relationships between space, participants, and technologies as participants set and work toward achieving goals. Engaging more of our young population in scientific and technological thinking and learning and broadening participation in the STEM workplace are national imperatives. One way to address these imperatives is to engage the passions of young people, helping them recognize the roles STEM content and practices play in achieving their own personal goals. Maker spaces are neighborhood spaces that are arising in many urban areas that allow and promote tinkering, designing, and construction using real materials, sometimes quite sophisticated ones. Participating in designing and successfully building working devices in such spaces can promote STEM learning, confidence and competence in one's ability to solve problems, and positive attitudes towards engineering, science, and math (among other things). The goal in this project is to learn how to design these spaces and integrate learning technologies so that learning happens more consistently (along with tinkering and making) and especially so that they are accessible and inviting to those who might not normally participate in these spaces. The work of this project is happening in an urban setting and with at-risk children, and a special effort is being made to accommodate making and learning with peers. As with Computer Clubhouses, maker spaces hold potential for their participants to identify what is interesting to them at the same time their participation gives them the opportunity to express themselves, learn STEM content, and put it to use.
Through a comparative case study, Sheridan and colleagues explore how makerspaces may function as learning environments. Drawing on field observations, interviews, and analysis of artifacts, videos, and other documents, the authors describe features of three makerspaces and how participants learn and develop through complex design and making practices. They describe how the makerspaces help individuals identify problems, build models, learn and apply skills, revise ideas, and share new knowledge with others. The authors conclude with a discussion of the implications of their findings for this
In this essay, Erica Halverson and Kimberly Sheridan provide the context for research on the maker movement as they consider the emerging role of making in education. The authors describe the theoretical roots of the movement and draw connections to related research on formal and informal education. They present points of tension between making and formal education practices as they come into contact with one another, exploring whether the newness attributed to the maker movement is really all that new and reflecting on its potential pedagogical impacts on teaching and learning.
The Cyberlearning and Future Learning Technologies Program funds efforts that support envisioning the future of learning technologies and advance what we know about how people learn in technology-rich environments. In this Cyberlearning EAGER project, the project team is developing foundations for using "paper mechatronics" as a learning technology. Paper mechatronics makes possible a craft-oriented approach to engineering and computing education that integrates key concepts from mechanical engineering, electrical engineering, control systems, and computer programming, while using paper as the primary material for learner design, exploration, and inquiry. In this approach, learners will design foldable paper components and assemblies; program motors, sensors and controls; test their ideas iteratively; and share their designs on a website. This paper-based modeling approach to learning concepts in and practices of mechanical engineering, electrical engineering, control systems, and computer programming ultimately aims to make it possible for all learners to have exposure to and the opportunity to participate in creative engineering, design, and computer programming.
The approach to learning through designing and making through paper mechatronics is made possible by a convergence of many different technological factors -- the array of small computers, sensors, and actuators that are becoming available at low cost and a size that children can use; availability of a wide variety of manipulable conductive materials (threads, paints, fabrics); low-cost and precise desktop and laser cutters for paper and similar materials; a wide variety of novel paper-like materials; and new ways of interacting with the computer. The approach has its foundations in Papert's constructionism and in the current maker movement, but it has potential beyond constructionism itself, both in practice and with respect to what can potentially be learned about learning and development in in context of its use.
Creating Museum Media for Everyone is an NSF-funded collaborative project of the Museum of Science, the WGBH National Center for Accessible Media, Ideum, and Audience Viewpoints, to further the science museum field's understanding of ways to research, develop, and evaluate digital interactives that are inclusive of all people. As a part of this effort to enable museums to integrate more accessible media into their exhibits to make them more welcoming and educational for visitors with disabilities as well as general audiences, this paper provides an overview of approaches to media accessibility
This pathways project will study how audiences in public spaces, in this case those in a museum setting, relate to and make sense of large data displays. The project is preliminary to development of a traveling, hands-on exhibition enabling users to create and utilize representations of big data displays such as maps and charts. As the test case, the project will use science maps that provide an overview of science generally and specific areas of STEM, charting and exploring the history and future of science and technology. The data collection portion of the project will take place at the New York Hall of Science, the Marian Koshland Science Museum, COSI in Columbus, Ohio, and WonderLab Museum in Bloomington, Indiana. The project will create a foundation for the design of museum exhibits and educational programs that teach museum visitors how to explore, engage and make better sense of big data. The project is potentially transformative because big data is becoming ubiquitous and making sense out of large data displays is necessary in order to understand big data sets.