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
This summative evaluation of the exhibition Robots & Us was designed to investigate how visitor audiences used and experienced this exhibition in relation to the project’s objectives and challenges. Visitors’ expectations and perceptions in relation to the project’s content goals prompted the summative evaluation to focus on specific challenges including: attitudes and perceptions about technology, connections between robots and people, appeal to a broad audience, and reactions to specific exhibits.
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Jeff HaywardJolene HartScience Museum of Minnesota
Researchers at the U.C. Davis will carry out observations of museum visitors to plan for a study of how visualizations affect visitors of an Earth Sciences exhibit using 3D technology. The researchers will be able to conduct an experimental study about how much participants in an education center learn from the model of earthquakes and of a model of the Lake Tahoe basin. The researchers will conduct a quasi-experiment of a sample of 100 visitors to the center at Lake Tahoe to study their experience with visualization and learning of science. The funding for this phase of the project will include the development of audience surveys, conducting focus groups to develop types of feedback, train staff to conduct data collection, and to conduct a literature review of technology visualization.
Following a 2011 report by the National Research Council (NRC) on successful K-12 education in science, technology, engineering, and mathematics (STEM), Congress asked the National Science Foundation to identify methods for tracking progress toward the report's recommendations. In response, the NRC convened the Committee on an Evaluation Framework for Successful K-12 STEM Education to take on this assignment. The committee developed 14 indicators linked to the 2011 report's recommendations. By providing a focused set of key indicators related to students' access to quality learning, educator's
The intent of this project is to use social network methods to study networks of afterschool and informal science stakeholders. It would attempt to create knowledge that improves afterschool programs access to informal science learning materials. This is an applied research study that applies research methods to improving access to and enactment of informal science education programs across a range of settings. The investigators plan to collect data from 600 community- and afterschool programs in California, conduct case studies of 10 of these programs, and conduct surveys of supporting intermediary organizations. The analysis of the data will provide descriptions of the duration, intensity, and nature of the networks among afterschool programs and intermediary agencies, and the diffusion patterns of science learning materials in afterschool programs. The project will yield actionable knowledge that will be disseminated among afterschool programs, intermediary organizations, funding agencies, and policymakers to improve the dissemination and support of afterschool science learning opportunities. The project is focused on free-choice settings where every day the largest numbers of children attend afterschool programs at schools and in other community settings. It seeks information about what conditions are necessary for informal science programs to significantly impact the largest possible number of children in these settings.
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Barbara MeansAnn HouseCarlin LlorenteRaymond McGhee
Robotics brings together learning across mechanism, computation and interaction using the compelling model of real-time interaction with physically instantiated intelligent devices. The project described here is the third stage of the Personal Rover Project, which aims to produce technology, curriculum and evaluation techniques for use with after-school, out-of-school and informal learning environments mediated by robotics. Our most recent work has resulted in the Personal Exploration Rover (PER), whose goal is to create and evaluate a robot interaction that will educate members of the general
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
The authors present an exploratory study of Black middle school boys who play digital games. The study was conducted through observations and interviews with Black American middle school boys about digital games as an informal learning experience. The first goal of the study is to understand the cultural context that Black students from economically disadvantaged inner-city neighborhoods bring to playing digital games. The second goal of the study is to examine how this cultural context affects the learning opportunities with games. Third, the authors examine how differences in game play are
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Betsy James DiSalvoKevin CrowleyRoy Norwood
Historically, most efforts to improve public knowledge of science and technology have focused on improvements in K-12 schooling, although post-secondary education and informal education have also been mentioned as important factors. Currently, little empirical data exist to determine how or when to best leverage science and technology education energies and resources. This article examines a range of factors potentially contributing to adult knowledge of science and technology. Results from a telephone survey of 1,018 adult residents in greater Los Angeles, California (United States) showed
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