106,553 research outputs found

    Looking for Shadows: The Cultural Myths of the Computer in the Classroom

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    This paper will draw its findings from a recent study (Lloyd, 2003) which sought to identify the cultural myths of the computer in the classroom through a case study of computer education in Queensland state schools from 1983 to 1997. This was a period marked by its consecutive, discrete, high-profile and politically-motivated projects to put computers in classrooms. The emergent myths were categorised within their source metanarratives and were also positioned within a critical cultural framework. The term "computer education" is given to mean any curricular or classroom-based use of computers. This study addressed a hitherto neglected area of educational research by looking beyond the rhetoric and highlighting where policy decisions have been made on the basis of mythic assumptions. The identification of the cultural myth(s) in this study was essentially a process of looking for shadows. Finding the twenty-seven pervasive myths which initiated and sustained the systemic policies, infrastructure programs and curricular decisions of the period under review involved rigorous processes of deconstruction, reconstruction, analysis and synthesis. The data sources were contemporary policy documents, Hansard entries, press releases and media statements, correspondence and interviews with stakeholders while the methodology employed was an adaptation of Descriptive Interpretational Analysis (Tesch, 1990)

    Remembering for the Future

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    Where Were the Media in the Financial Crisis of 2008, and Have We Seen This Trend Before?

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    In the fall of 2008, the United States and the rest of the world experienced significant financial turmoil. The financial industry as we knew it crumbled before our eyes. After experiencing this event and the media\u27s fragmented and inconsistent coverage of it, I felt an interesting topic to look into was the financial press\u27 failed coverage of the finance industry, both today and in the past. In looking at this event, I will focus on both the financial press that failed to cover the happenings of the financial industry, as well as those that did recognize the issue at hand. In doing this, I will include a content analysis of the relevant sections of The Wall Street Journal and The New York Times. In addition, I will also look into past financial crises, including the Enron scandal, the Savings and Loan crisis, and the Technology Bubble to see if the financial press\u27 recent failure is the continuation of a long trend. After discussing the fragmented nature of the financial press, I will then discuss why the financial press had little effect on individuals, despite some actually good coverage existing. In discussing this issue, I will focus on topics such as the media’s lack of objectivity and the audience\u27s unwillingness to accept the situations they are presented with. Finally, I will suggest ways to rectify this situation, such as news consumers becoming more media literate

    Algorithmic Jim Crow

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    This Article contends that current immigration- and security-related vetting protocols risk promulgating an algorithmically driven form of Jim Crow. Under the “separate but equal” discrimination of a historic Jim Crow regime, state laws required mandatory separation and discrimination on the front end, while purportedly establishing equality on the back end. In contrast, an Algorithmic Jim Crow regime allows for “equal but separate” discrimination. Under Algorithmic Jim Crow, equal vetting and database screening of all citizens and noncitizens will make it appear that fairness and equality principles are preserved on the front end. Algorithmic Jim Crow, however, will enable discrimination on the back end in the form of designing, interpreting, and acting upon vetting and screening systems in ways that result in a disparate impact

    There's something in the way you move : horse racing and skiing are two sports where a better understanding of friction could work

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    Have you ever had the experience of gliding effortlessly across a dance floor with a partner of rugby-player proportions, yet endured a swollen ankle minutes later from the quickstep of someone half the size? Why does one twin sister seem to be "hard" on shoes while the other can make a pair last twice as long? The explanation for counterintuitive phenomena like these lies in the study of friction and wear - a field known as tribology - and an increasingly rich source of tribological data come from the science of sport
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