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Exploring potential biases in GPT-4o’s ratings of English language learners’ essays
11 references·0 citing·39 second hop
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References

  • 2021A Framework of Potential Sources of Harm Throughout the Machine Learning Life Cycle573 cited
  • 2011Introduction to Many-Facet Rasch Measurement184 cited
  • 2008Rater bias patterns in an EFL writing assessment162 cited
  • 2002A FACETS analysis of rater bias in measuring Japanese second language writing performance150 cited
  • 2017Evaluating Language Assessments125 cited
  • 2016Investigating the Application of Automated Writing Evaluation to Chinese Undergraduate English Majors: A Case Study of WriteToLearn94 cited
  • 2021Fairness, Justice, and Language Assessment84 cited
  • 2024Exploratory study on the potential of ChatGPT as a rater of second language writing68 cited
  • 2016Automated Essay Evaluation for English Language Learners:A Case Study ofMY Access68 cited
  • 2022Validity Arguments for AI‐Based Automated Scores: Essay Scoring as an Illustration50 cited
  • 2024An application of many-facet Rasch measurement to evaluate automated essay scoring: A case of ChatGPT-4.046 cited

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