This paper reports the results of a study designed to determine people's preferences for different types of Web-based educational activity. Researchers identified six activity types for comparison: Creative Play, Guided Tour, Interactive Reference, Puzzle/Mystery, Role-playing Story and Simulation. They collected two sets of data: 1) user exit surveys evaluating the study site and preferred genre or type of learning activity and 2) serve statistics indicating the duration of stay. Researchers found clear differences in preferences between adults and children.
The authors provide an analysis of pairs of children interacting with a multi-touch tabletop exhibit designed to help museum visitors learn about evolution and the tree of life. The exhibit’s aim is to inspire visitors with a sense of wonder at life’s diversity while providing insight into key evolutionary concepts such as common descent. The authors find that children negotiate their interaction with the exhibit in a variety of ways including reactive, articulated, and contemplated exploration. These strategies in turn influence the ways in which children make meaning through their
Museums continue to invest in and experiment with internet technologies and increasingly with social software environments (i.e., social networking). These technologies have the potential to lead to a number of important intellectual and social outcomes such as learning, community building, and greater public understanding of, in our case, science. It is the possibility of supporting learning in digital environments that is the focus of this research project. In our previous work, online facilitation has emerged as a big deal and perhaps determines successful online museum environments from unsuccessful environments. To study facilitation, we seek to understand facilitation styles and their outcomes in two distinct but representative museum environments. The first, Science Buzz at Science Museum of Minnesota, is a popular website identified by the field to be exemplary because of its educational value and its use of Web 2.0 functionality. The second case is the more distributed use of social software at the North Carolina Museum of Life and Science (MLS). Instead of creating learning platforms that are hosted internally, MLS is experimenting with building learning communities where people are already gathering on the web like Flickr, Twitter, and YouTube. We anticipate being able to identify clear, replicable facilitation styles and to identify outcomes associated with those styles.
Realizing the power of CyberLearning to transform education will require vision, strategy, and an engaged, talented community. Activities are needed to energize the community, refine and sharpen the path forward, and provide a more active and ongoing forum for clarifying the big ideas and challenging questions. In response to this need, SRI International, together with the Lawrence Hall of Science and with key support from the National Geographic Society, will organize a set of activities to advance a shared vision of the future of learning, encompassing the systems, people, and technology dimensions mutually necessary for any scalable and lasting advances in education. The innovative format for these activities is inspired by the TED talks, Wikipedia, and social networking. As in TED, a small set of leading researchers will be selected to give very short, very high quality, stimulating talks. These CyberLearning Talks will be featured at a 1-day summit meeting in Washington, DC, streamed so that local cyberlearning research communities may participate at a distance, and posted on a website. As in Wikipedia, CyberLearning Pages will be created, each page featuring a synopsis of a big idea in CyberLearning and the relevant research challenges. The 1-day conference will be followed by a small 1-day workshop focusing on how to evaluate cyberlearning efforts, identify progress, and identify important new directions. Finally, to disseminate and stimulate conversation about both the video talks and Wikipedia entries, a presence for the community will be created on social networking sites. The target outcomes of the effort will be (i) a cyberlearning research community with participants from across the many current constituent communities, and fostered awareness and appreciation of the broad range of expertise and interests across that wider community; (ii) foundations for sustained discussion of big ideas, insights, and challenges to help this new community define a more engaged, crisper vision of its own future, (iii) a community resource that can become a site for interconnecting stakeholders in the CyberLearning community and supporting investigators in improving field-generated proposals, and (iv) an emerging sense of direction for CyberLearning among a wider audience of leaders. Such community building and awareness is expected to foster collaborations that will lead to innovative and research-grounded ways of using technology to transform education -- formal and informal and across a lifetime.
Youth Radio, an after-school media production program, consists of a main campus in Oakland, CA, and regional bureaus in Atlanta, GA, Washington, D.C., and Los Angeles, CA. Youth Radio’s model is to engage underserved young people in broadcast journalism, radio and web production, engineering, and media literacy through media projects that are relevant to the students’ lives and communities. In doing so, Youth Radio prepares young people for college programs and careers in media. The organization also supports young people in their transition from school to career through an externship program
The WGBH Educational Foundation together with the Association of Computing Machinery (ACM) and dozens of partners, proposes a major new initiative to reshape the image of computing among college-bound high school students, with a special focus on Latina girls and African-American boys. Image is seen as an important factor in the lack of interest in computing majors among high school and college students, who often see computer scientists as geeks and nerds with boring jobs and equally boring lives. Latina girls and African-American boys--among the most underrepresented groups in computing--represent particularly important and challenging audiences. The New Image for Computing project will research and design a "communications make-over"--a new set of messages that will accurately and positively portray the field and will be widely tested for their emotional appeal to and intellectual connection with the targeted audiences. Experienced marketing professionals will help create the messaging campaign using proven marketing and communications strategies. WGBH, a leading producer of programming for public television and non-broadcast educational media, is uniquely positioned to lead this initiative, as they have a current, similar project called Engineer Your Life that aims to encourage academically prepared high school girls to consider engineering as an attractive option for both post-secondary education and as a career choice.
This collaborative project aims to establish a national computational resource to move the research community much closer to the realization of the goal of the Tree of Life initiative, namely, to reconstruct the evolutionary history of all organisms. This goal is the computational Grand Challenge of evolutionary biology. Current methods are limited to problems several orders of magnitude smaller, and they fail to provide sufficient accuracy at the high end of their range. The planned resource will be designed as an incubator to promote the development of new ideas for this enormously challenging computational task; it will create a forum for experimentalists, computational biologists, and computer scientists to share data, compare methods, and analyze results, thereby speeding up tool development while also sustaining current biological research projects. The resource will be composed of a large computational platform, a collection of interoperable high-performance software for phylogenetic analysis, and a large database of datasets, both real and simulated, and their analyses; it will be accessible through any Web browser by developers, researchers, and educators. The software, freely available in source form, will be usable on scales varying from laptops to high-performance, Grid-enabled, compute engines such as this project's platform, and will be packaged to be compatible with current popular tools. In order to build this resource, this collaborative project will support research programs in phyloinformatics (databases to store multilevel data with detailed annotations and to support complex, tree-oriented queries), in optimization algorithms, Bayesian inference, and symbolic manipulation for phylogeny reconstruction, and in simulation of branching evolution at the genomic level, all within the context of a virtual collaborative center. Biology, and phylogeny in particular, have been almost completely redefined by modern information technology, both in terms of data acquisition and in terms of analysis. Phylogeneticists have formulated specific models and questions that can now be addressed using recent advances in database technology and optimization algorithms. The time is thus exactly right for a close collaboration of biologists and computer scientists to address the IT issues in phylogenetics, many of which call for novel approaches, due to a combination of combinatorial difficulty and overall scale. The project research team includes computer scientists working in databases, algorithm design, algorithm engineering, and high-performance computing, evolutionary biologists and systematists, bioinformaticians, and biostatisticians, with a history of successful collaboration and a record of fundamental contributions, to provide the required breadth and depth. This project will bring together researchers from many areas and foster new types of collaborations and new styles of research in computational biology; moreover, the interaction of algorithms, databases, modeling, and biology will give new impetus and new directions in each area. It will help create the computational infrastructure that the research community will use over the next decades, as more whole genomes are sequenced and enough data are collected to attempt the inference of the Tree of Life. The project will help evolutionary biologists understand the mechanisms of evolution, the relationships among evolution, structure, and function of biomolecules, and a host of other research problems in biology, eventually leading to major progress in ecology, pharmaceutics, forensics, and security. The project will publicize evolution, genomics, and bioinformatics through informal education programs at museum partners of the collaborating institutions. It also will motivate high-school students and college undergraduates to pursue careers in bioinformatics. The project provides an extraordinary opportunity to train students, both undergraduate and graduate, as well as postdoctoral researchers, in one of the most exciting interdisciplinary areas in science. The collaborating institutions serve a large number of underrepresented groups and are committed to increasing their participation in research.
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TEAM MEMBERS:
Tandy WarnowDavid HillisLauren MeyersDaniel MirankerWarren Hunt, Jr.
Children’s worlds are increasingly populated by intelligent technologies. This has raised a number of questions about the ways in which technology can change children’s ideas about important concepts, like what it means to be alive or smart. In this study, we examined the impact of experience with intelligent technologies on children’s ideas about robot intelligence. A total of 60 children aged 4 through 7 were asked to identify the intellectual, psychological, and biological characteristics of 8 entities that differed in terms of their life status and intellectual capabilities. Results
As an increasing number of robots have been designed to interact with people on a regular basis, research into human-robot interaction has become more widespread. At the same time, little work has been done on the problem of longterm human-robot interaction, in which a human uses a robot for a period of weeks or months. As people spend more time with a robot, it is expected that how they make sense of the robot - their “cognitive model” of it - may change over time. In order to identify factors that will be critical to the future development of a quantitative cognitive model of long-term human
To help answer questions about the behavior of participants in human-robot systems, we propose the Cognitive Evaluation of Human-Robot Systems (CEHRS) method based on our work with the Personal Exploration Rover (PER). The CEHRS method consists of six steps: (1) identify all system participants, (2) collect data from all participant groups, including the system’s creators, (3) analyze participant data in light of system-wide goals, (4) answer targeted questions about each participant group to determine the flow of knowledge, information, and influence throughout the system, (5) look for
Research on human–robot interaction has often ignored the human cognitive changes that might occur when humans and robots work together to solve problems. Facilitating human–robot collaboration will require understanding how the collaboration functions system-wide. The authors present detailed examples drawn from a study of children and an autonomous rover, and examine how children’s beliefs can guide the way they interact with and learn about the robot. The data suggest that better collaboration might require that robots be designed to maximize their relationship potential with specific users
Poster on NSF grant DRL-1132393 (Cyberlearning Research Summit 2012: Imagining the Future of Learning, Systems, People, and Technology) from the 2012 ISE PI Meeting.