Automated Essay Scoring
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Bridgeman, Trapani, and Attali (2009) [pdf]
- E-Rater system that automatically grades a student’s essay
- Essays written by Hispanic and Asian-American students over-graded than those by White and African American peers.
- inaccurately give Chinese and Korean students significantly higher scores than human essay raters on a test of foreign language proficiency
- Correlate more poorly and bias upwards in terms of GRE essay scores for Chinese students,
Bridgeman, Trapani, and Attali (2012) [pdf]
- A later version of E-Rater system for automatic grading of GSE essay
- Model gave lower scores to African American students than human-raters
- Chinese students are given higher scores than human essay raters
- Speakers of Arabic and Hindi were given lower scores
Ramineni & Williamson (2018) [pdf]
- Revised automated scoring engine for assessing GSE essay
- Relative weakness in content and organization by African American test takers resulted in lower scores than Chinese peers who wrote longer.
Wang et al. (2018) [pdf]
- Automated scoring model for evaluating English spoken responses
- SpeechRater gave a significantly lower score than human raters for German
- SpeechRater scored in favor of Chinese group, with H1-rater scores higher than mean