5,995 research outputs found

    Miss Olympic Athlete? A Content Analysis of NBC’s Primetime Interviews During the 2016 Summer Olympic Games

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    The 2016 Summer Olympic Games in Rio de Janeiro has further exposed the difference in sports reporting between sexes. Creating social media controversy, viewers called out the sexist commentary directed towards women athletes emphasizing their relationship status, how many children they have, and male athlete accomplishments over the female’s athletic ability. This content analysis will dive deeper into NBC’s prime-time coverage of the twenty-third Olympiad, examining the sport and non-sport questions brought up during interviews with the male and female athletes. With reporters possessing more control over what is discussed on-air, when compared to live commentators, the goal of this analysis is to examine if a significant difference of sport-related themes remains between sexes, or if a few outliers are drawing disproportionate attention. No significant difference was found between questions asked during interviews with male and female athletes, however, there was a significant difference found between the mean number of non-sport questions posed by male reporters when compared to female reporters. Suggestions for future research are also explored

    Social Network Analysis with sna

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    Modern social network analysis---the analysis of relational data arising from social systems---is a computationally intensive area of research. Here, we provide an overview of a software package which provides support for a range of network analytic functionality within the R statistical computing environment. General categories of currently supported functionality are described, and brief examples of package syntax and usage are shown.

    Ir television system for fault detection. alternate i - contract system

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    Infrared television system used for fault detectio

    network: A Package for Managing Relational Data in R

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    Effective memory structures for relational data within R must be capable of representing a wide range of data while keeping overhead to a minimum. The network package provides an class which may be used for encoding complex relational structures composed a vertex set together with any combination of undirected/directed, valued/unvalued, dyadic/hyper, and single/multiple edges; storage requirements are on the order of the number of edges involved. Some simple constructor, interface, and visualization functions are provided, as well as a set of operators to facilitate employment by end users. The package also supports a C-language API, which allows developers to work directly with network objects within backend code.

    Methods of Smile: A Science Seminar Course in Deliberate Education

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    Oregon State University’s Science and Math Investigative Learning Experiences (SMILE) Program is an enrichment program for minority and underrepresented K-12 students. Through an eight-year iterative process, SMILE has developed and refined a science seminar course that allows undergraduate and master’s degree students to explore science enrichment for youth. Students enrolled in the course are engaged in teaching and learning as a community of learners with a focus on service learning. The intended audience for the course is those students who are interested in working in educational settings with youth—as classroom teachers, science/mathematics professionals engaged in precollege outreach, and the like. The actual audience, though quite broad, represents those students who want to be better prepared as effective science educators in their various career roles. This article provides the context for the course, defines and examines deliberate education as illustrated by the structure and activities of the Methods of SMILE seminar course, highlights the elements of an effective community of learners as demonstrated through it, details the specific strategies and activities of it, and summarizes the next steps in identifying its impact in transforming the participants’ college experiences

    Group Cognition in Problem Solving Dialogues: Analyzing differences between voice and computer transcripts

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    This project shadows the work of student groups in Math 110, a quantitative literacy class, engaged in exploratory learning excercises. An instructor monitors these groups by both walking around the room and observing group conversation at another computer. Our goal is to put this exercise online, and as a result leave the entire monitoring process up to the computer, assuming the role that the instructor traditionally assumes. Using annotation techniques to decipher meaning in dialogue of students working in groups for a Math 110, we try to see how students collaborate to solve problems together. “Bits of realization”, conversation, and problem solving tags are sorted out and gathered to identify the main points that are expressed during the problem solving of the two-person game, Poison. Expanding upon previous research done by other students, we are able to add bits of realization that students encounter in their work. Our first effort is to explore the differences between voice recorded dialogue and computer-mediated chat dialogue
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