Linguistic Regularities in Pedagogical Feedback and Their Relationship to Error Diagnosis

Determine whether linguistic regularities observed in large language model–generated text appear in pedagogical feedback and characterize how these regularities align with a tutor’s ability to identify and correct student errors.

Background

Comparative studies have documented differences between human and LLM-generated text, including lexical choice and stylistic variability, but have not examined instructional feedback or its quality.

The authors explicitly highlight uncertainty about the presence of similar linguistic regularities in pedagogical feedback and how these patterns correspond to tutors’ effectiveness at identifying and correcting student mistakes.