Predicting Desirable Revisions of Evidence and Reasoning in Argumentative Writing

Tazin Afrin; Diane Litman

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arXiv · 2302.05039

Predicting Desirable Revisions of Evidence and Reasoning in Argumentative Writing

Tazin Afrin·Diane Litman

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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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Tazin Afrin, Diane Litman. 2023-02-10. Predicting Desirable Revisions of Evidence and Reasoning in Argumentative Writing. https://arxiv.org/abs/2302.05039

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