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The ability to revise in response to feedback is critical to students'writing success. In the case of argument writing in specific, identifyingwhether an argument revision (AR) is successful or not is a complex problembecause AR quality is dependent on the overall content of an argument. Forexample, adding the same evidence sentence could strengthen or weaken existingclaims in different argument contexts (ACs). To address this issue we developedChain-of-Thought prompts to facilitate ChatGPT-generated ACs for AR qualitypredictions. The experiments on two corpora, our annotated elementary essaysand existing college essays benchmark, demonstrate the superiority of theproposed ACs over baselines.

Predicting the Quality of Revisions in Argumentative Writing