Predicting Desirable Revisions of Evidence and Reasoning in Argumentative Writing
Tazin Afrin, Diane J. Litman · 2023
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.