Abstract
Text revision is regarded as an important process in improving written products. To study the process of revision activity from authentic classroom contexts, this paper introduces a novel visualization method called Revision Graph to aid detailed analysis of the writing process. This opens up the possibility of exploring the stages in students’ revision of drafts, which can lead to further automation of revision analysis for researchers, and formative feedback to students on their writing. The Revision Graph could also be applied to study the direct impact of automated feedback on students’ revisions and written outputs in stages of their revision, thus evaluating its effectiveness in pedagogic contexts.
An extended version of this paper can be found at Technical Report [4].
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Shibani, A., Knight, S., Buckingham Shum, S. (2018). Understanding Revisions in Student Writing Through Revision Graphs. In: Penstein Rosé, C., et al. Artificial Intelligence in Education. AIED 2018. Lecture Notes in Computer Science(), vol 10948. Springer, Cham. https://doi.org/10.1007/978-3-319-93846-2_62
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DOI: https://doi.org/10.1007/978-3-319-93846-2_62
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