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  4. Understanding Revision Behavior in Adaptive Writing Support Systems for Education
 
conference paper

Understanding Revision Behavior in Adaptive Writing Support Systems for Education

Mouchel, Luca  
•
Wambsganss, Thiemo  
•
Mejia, Paola  
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2023
Proceedings of EDM2023
16th International Conference on Educational Data Mining

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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Name

2023.EDM-posters.48.pdf

Type

Postprint

Version

Accepted version

Access type

openaccess

License Condition

CC BY-NC-ND

Size

1.02 MB

Format

Adobe PDF

Checksum (MD5)

ba62008ba887322d6fcd6caf3e2b9d98

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