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Title: Understanding of a Law of Science and Its Relation to Science Writing With Automated Feedback
Authors: Kim, ChanMin
Puntambekar, Sadhana
Lee, Eunseo
Gnesdilow, Dana
Dey, Indrani
Cang, Xuesong
Wu, Siyu
Passonneau, Rebecca J.
Keywords: Learning Sciences
Issue Date: 2023
Publisher: International Society of the Learning Sciences
Citation: Kim, C., Puntambekar, S., Lee, E., Gnesdilow, D., Dey, I., Cang, X., Wu, S., & Passonneau, R. J. (2023). Understanding of a law of science and its relation to science writing with 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. 1298-1301). International Society of the Learning Sciences.
Abstract: Building causal knowledge is critical to science learning and scientific explanations that require one to understand the how and why of a phenomenon. In the present study, we focused on writing about the how and why of a phenomenon. We used natural language processing (NLP) to provide automated feedback on middle school students’ writing about an underlying principle (the law of conservation of energy) and its related concepts. We report the role of understanding the underlying principle in writing based on NLP-generated feedback.
Description: Short Paper
Appears in Collections:ISLS Annual Meeting 2023

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