An Evaluation of the IntelliMetric[SM] Essay Scoring System.

作者: Veronica Garcia , Catherine Welch , Lawrence M. Rudner

DOI:

关键词: Probability modelMathematics educationComputer scienceAutomated essay scoringInter-rater reliabilityScoring systemBayesian probabilityPearson product-moment correlation coefficientWriting assessmentStatistics

摘要: This report provides a two-part evaluation of the IntelliMetricSM automated essay scoring system based on its performance essays from Analytic Writing Assessment Graduate Management Admission TestTM (GMATTM). The IntelliMetric is first compared to that individual human raters, Bayesian employing simple word counts, and weighted probability model using more than 750 responses each six prompts. second, larger compares ratings those raters approximately 500 101 Results both evaluations suggest consistent, reliable for AWA with perfect + adjacent agreement 96% 98% 92% 100% instances in 1 2, respectively. Pearson r correlations between averaged .83 evaluations. Volume 4, Number 4

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