The Intersection of AI and Language Assessment: A Study on the Reliability of ChatGPT in Grading IELTS Writing Task 2

Koraishi O.

Language Teaching Research Quarterly, vol.43, pp.22-42, 2024 (Scopus) identifier

  • Publication Type: Article / Article
  • Volume: 43
  • Publication Date: 2024
  • Doi Number: 10.32038/ltrq.2024.43.02
  • Journal Name: Language Teaching Research Quarterly
  • Journal Indexes: Scopus, Educational research abstracts (ERA), MLA - Modern Language Association Database
  • Page Numbers: pp.22-42
  • Keywords: Artificial Intelligence (AI), Artificial Intelligence in Education (AIEd), CALL, ChatGPT, IELTS, Natural Language Processing (NLP)
  • Bursa Uludag University Affiliated: Yes

Abstract

This study conducts a comprehensive quantitative evaluation of OpenAI's language model, ChatGPT 4, for grading Task 2 writing of the IELTS exam. The objective is to assess the alignment between ChatGPT's grading and that of official human raters. The analysis encompassed a multifaceted approach, including a comparison of means and reliability measures such as Cohen's weighted kappa and intraclass correlation. The results revealed a high agreement in means and substantial reliability between the two grading methods on the level of the majority of texts. However, individual discrepancies and outliers were also identified, underscoring the nuanced nature of grading. While ChatGPT demonstrated efficiency and general alignment with human grading, the study concludes that it should not replace human judgment, particularly due to these observed inconsistencies. The findings contribute valuable insights into the potential and limitations of AI in educational grading and emphasize the importance of a comprehensive quantitative evaluation.