Please use this identifier to cite or link to this item: https://repository.isls.org//handle/1/9992
Title: Revisions in Scientific Explanations Using Automated Feedback
Authors: Cang, Xuesong
Gnesdilow, Dana
Puntambekar, Sadhana
Keywords: Learning Sciences
Issue Date: 2023
Publisher: International Society of the Learning Sciences
Citation: Cang, X., Gnesdilow, D., & Puntambekar, S. (2023). Revisions in scientific explanations using automated feedback. In Blikstein, P., Van Aalst, J., Kizito, R., & Brennan, K. (Eds.), Proceedings of the 17th International Conference of the Learning Sciences - ICLS 2023 (pp. 170-177). International Society of the Learning Sciences.
Abstract: Writing and revising scientific explanations helps students integrate disparate scientific ideas into a cohesive understanding of science. Natural language processing technologies can help assess students’ writing and give corresponding feedback, which supports their writing and revision of their scientific ideas. However, the feedback is not always helpful to students. Our study investigated 241 middle school students’ use of feedback as well as how the feedback affected their revisions and improvements in writing. We found that students made more content-related revisions when they used feedback and these revisions resulted in improvements in their writing. However, fewer students made integrated revisions. Finally, many students did not address the feedback in their revisions. Additional support to assist students to understand and use feedback, especially for students with limited science knowledge, is needed.
Description: Long Paper
URI: https://doi.org/10.22318/icls2023.521520
https://repository.isls.org//handle/1/9992
Appears in Collections:ISLS Annual Meeting 2023

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