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  1. Machine scoring of student essays
    truth and consequences
    Erschienen: 2010
    Verlag:  Utah State University Press, Logan ; HathiTrust Digital Library, [Erscheinungsort nicht ermittelbar]

    The current trend toward machine-scoring of student work, Ericsson and Haswell argue, has created an emerging issue with implications for higher education across the disciplines, but with particular importance for those in English departments and in... mehr

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    Bibliothek der Hochschule Darmstadt, Zentralbibliothek
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    TU Darmstadt, Universitäts- und Landesbibliothek - Stadtmitte
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    Bibliothek der Frankfurt University of Applied Sciences
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    Universitätsbibliothek J. C. Senckenberg, Zentralbibliothek (ZB)
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    Hochschul- und Landesbibliothek Fulda, Standort Heinrich-von-Bibra-Platz
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    Universitätsbibliothek Gießen
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    Universitätsbibliothek Kassel, Landesbibliothek und Murhardsche Bibliothek der Stadt Kassel
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    Universität Mainz, Zentralbibliothek
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    Universität Marburg, Universitätsbibliothek
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    The current trend toward machine-scoring of student work, Ericsson and Haswell argue, has created an emerging issue with implications for higher education across the disciplines, but with particular importance for those in English departments and in administration. The academic community has been silent on the issue-some would say excluded from it-while the commercial entities who develop essay-scoring software have been very active. Machine Scoring of Student Essays is the first volume to seriously consider the educational mechanisms and consequences of this trend, and it offers important discussions from some of the leading scholars in writing assessment. Reading and evaluating student writing is a time-consuming process, yet it is a vital part of both student placement and coursework at post-secondary institutions. In recent years, commercial computer-evaluation programs have been developed to score student essays in both of these contexts. Two-year colleges have been especially drawn to these programs, but four-year institutions are moving to them as well, because of the cost-savings they promise. Unfortunately, to a large extent, the programs have been written, and institutions are installing them, without attention to their instructional validity or adequacy. Since the education software companies are moving so rapidly into what they perceive as a promising new market, a wider discussion of machine-scoring is vital if scholars hope to influence development and/or implementation of the programs being created. What is needed, then, is a critical resource to help teachers and administrators evaluate programs they might be considering, and to more fully envision the instructional consequences of adopting them. And this is the resource that Ericsson and Haswell are providing here.

     

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