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Autor/inn/enBuzick, Heather; Oliveri, Maria Elena; Attali, Yigal; Flor, Michael
TitelComparing Human and Automated Essay Scoring for Prospective Graduate Students with Learning Disabilities and/or ADHD
QuelleIn: Applied Measurement in Education, 29 (2016) 3, S.161-172 (12 Seiten)Infoseite zur Zeitschrift
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Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN0895-7347
DOI10.1080/08957347.2016.1171765
SchlagwörterEssays; Learning Disabilities; Attention Deficit Hyperactivity Disorder; Scoring; College Entrance Examinations; Graduate Study; Evaluators; Spelling; Computer Assisted Testing; Comparative Analysis; College Students; Statistical Analysis; Writing Tests; Testing Accommodations; Graduate Record Examinations
AbstractAutomated essay scoring is a developing technology that can provide efficient scoring of large numbers of written responses. Its use in higher education admissions testing provides an opportunity to collect validity and fairness evidence to support current uses and inform its emergence in other areas such as K-12 large-scale assessment. In this study, human and automated scores on essays written by college students with and without learning disabilities and/or attention deficit hyperactivity disorder were compared, using a nationwide (U.S.) sample of prospective graduate students taking the revised Graduate Record Examination. The findings are that, on average, human raters and the automated scoring engine assigned similar essay scores for all groups, despite average differences among groups with respect to essay length and spelling errors. (As Provided).
AnmerkungenRoutledge. Available from: Taylor & Francis, Ltd. 325 Chestnut Street Suite 800, Philadelphia, PA 19106. Tel: 800-354-1420; Fax: 215-625-2940; Web site: http://www.tandf.co.uk/journals
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2020/1/01
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