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ERIC Number: EJ1101441
Record Type: Journal
Publication Date: 2016
Pages: 12
Abstractor: As Provided
ISSN: ISSN-0895-7347
Comparing Human and Automated Essay Scoring for Prospective Graduate Students with Learning Disabilities and/or ADHD
Buzick, Heather; Oliveri, Maria Elena; Attali, Yigal; Flor, Michael
Applied Measurement in Education, v29 n3 p161-172 2016
Automated 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.
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Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Assessments and Surveys: Graduate Record Examinations
Grant or Contract Numbers: N/A