Predicting Desirable Revisions of Evidence and Reasoning in Argumentative Writing

• URL: http://arxiv.org/abs/2302.05039v1
• Date: Fri, 10 Feb 2023 03:59:59 GMT
• Title: Predicting Desirable Revisions of Evidence and Reasoning in Argumentative Writing
• Authors: Tazin Afrin and Diane Litman
• Abstract summary: We develop models to classify desirable evidence and desirable reasoning revisions in student argumentative writing. We explore two ways to improve performance - using the essay context of the revision, and using the feedback students received before the revision. Our results show that while a model using feedback information improves over a baseline model, models utilizing context - either alone or with feedback - are the most successful in identifying desirable revisions.
• Score: 1.0878040851638
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: We develop models to classify desirable evidence and desirable reasoning revisions in student argumentative writing. We explore two ways to improve classifier performance - using the essay context of the revision, and using the feedback students received before the revision. We perform both intrinsic and extrinsic evaluation for each of our models and report a qualitative analysis. Our results show that while a model using feedback information improves over a baseline model, models utilizing context - either alone or with feedback - are the most successful in identifying desirable revisions.

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