Papers with teacher feedback

3 papers
A Dataset for Investigating the Impact of Feedback on Student Revision Outcome (2020.lrec-1)

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Challenge: Despite numerous studies on the kinds of feedback that can best promote learning, this question remains an open debate in the area of Second Language Acquisition (SLA).
Approach: They annotate a corpus of student-written sentences with teacher feedback provided for the errors.
Outcome: The proposed annotation scheme and the teacher feedback dataset are based on student-written sentences in their original and revised versions with teacher feedback provided for the errors.
FEAT: A Preference Feedback Dataset through a Cost-Effective Auto-Generation and Labeling Framework for English AI Tutoring (2025.acl-short)

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Challenge: Existing algorithms for teacher feedback generation are time-consuming and costly to generate manually.
Approach: They propose a framework for generating teacher feedback using LLMs and humans . they construct three datasets that are time-consuming and costly to generate manually . results show that incorporating a small portion of DM leads to superior performance .
Outcome: The proposed framework performs better on three datasets compared to human-generated feedback and LLM-generated datasets.
FAB: The French Absolute Beginner Corpus for Pronunciation Training (2020.lrec-1)

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Challenge: French Absolute Beginner corpus is intended for the development and study of Computer-Assisted Pronunciation Training (CAPT) tools for absolute beginner learners.
Approach: They introduce the French Absolute Beginner (FAB) speech corpus which is intended for the development and study of Computer-Assisted Pronunciation Training tools for absolute beginner learners.
Outcome: The proposed corpus is intended for the development and study of Computer-Assisted Pronunciation Training tools for absolute beginner learners.

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