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Assessment of ChatGPT's Validity in Scoring Essays by Foreign Language Learners of Japanese and English
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Autoren
2023
Jahr
Abstract
In light of the significant advancements in Natural Language Processing (NLP), research on Automated Essay Scoring (AES) has gained widespread attention worldwide. This heightened interest can be attributed, in part, to the release of OpenAl's ChatGPT in late 2022. The focus of this research lies in exploring the potential application of ChatGPT for grading essays produced by learners in both Japanese and English. This paper presents a comparative analysis of two models for predicting proficiency scores. The first model incorporates linguistic feature indices, while the second model integrates ChatGPT scores alongside the linguistic feature indices. The results revealed a moderate correlation between GPT scores and proficiency scores. Moreover, no significant differences were observed when comparing models that combined both GPT scores and linguistic features with those that did not. These findings underscore the effectiveness of models based on linguistic features, which is consistent with previous studies in this field.
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