Understanding Revision Behavior in Adaptive Writing Support Systems for Education

June 17, 2023 ยท Entered Twilight ยท ๐Ÿ› Educational Data Mining

๐Ÿ’ค TWILIGHT: Eternal Rest
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Repo contents: .idea, .vscode, LICENSE.md, README.md, RevisionBehavior.ipynb, __pycache__, data, requirements.txt, results, src

Authors Luca Mouchel, Thiemo Wambsganss, Paola Mejia-Domenzain, Tanja Kรคser arXiv ID 2306.10304 Category cs.LG: Machine Learning Cross-listed cs.IR Citations 5 Venue Educational Data Mining Repository https://github.com/lucamouchel/Understanding-Revision-Behavior โญ 2 Last Checked 3 months ago
Abstract
Revision behavior in adaptive writing support systems is an important and relatively new area of research that can improve the design and effectiveness of these tools, and promote students' self-regulated learning (SRL). Understanding how these tools are used is key to improving them to better support learners in their writing and learning processes. In this paper, we present a novel pipeline with insights into the revision behavior of students at scale. We leverage a data set of two groups using an adaptive writing support tool in an educational setting. With our novel pipeline, we show that the tool was effective in promoting revision among the learners. Depending on the writing feedback, we were able to analyze different strategies of learners when revising their texts, we found that users of the exemplary case improved over time and that females tend to be more efficient. Our research contributes a pipeline for measuring SRL behaviors at scale in writing tasks (i.e., engagement or revision behavior) and informs the design of future adaptive writing support systems for education, with the goal of enhancing their effectiveness in supporting student writing. The source code is available at https://github.com/lucamouchel/Understanding-Revision-Behavior.
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