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Title: Infect, Attach or Bounce Off?: Linking Real Data and Computational Models to Make Sense of the Mechanisms of Diffusion
Authors: Fuhrmann, Tamar
Wagh, Aditi
Eloy, Adelmo
Wolf, Jacob
Bumbacher, Engin
Wilkerson, Michelle
Blikstein, Paulo
Keywords: Learning Sciences
Issue Date: 2022
Publisher: International Society of the Learning Sciences
Citation: Fuhrmann, T., Wagh, A., Eloy, A., Wolf, J., Bumbacher, E., Wilkerson, M., & Blikstein, P. (2022). Infect, attach or bounce off?: Linking real data and computational models to make sense of the mechanisms of diffusion. In Chinn, C., Tan, E., Chan, C., & Kali, Y. (Eds.), Proceedings of the 16th International Conference of the Learning Sciences - ICLS 2022 (pp. 1445-1448). International Society of the Learning Sciences.
Abstract: This study explores how the interplay between data and model design shifts 6th graders’ students' ideas about diffusion as they build a range of models (“paper and pencil” and computational models). We present a new web-based environment and approach that integrates model-based and data-based features in the same display which facilitates the comparison of models and real-world data. Further, we illustrate how this environment and approach lead students to converge on one canonical scientific model.
Description: Short Paper
Appears in Collections:ISLS Annual Meeting 2022

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