Please use this identifier to cite or link to this item: https://repository.isls.org//handle/1/1135
Title: Using Models for Reasoning and Content Learning: Patterns of Bootstrapping Towards Earth Science Understandings
Authors: Rivet, Ann E.
Lyons, Cheryl A.
Miller, Alison R.
Issue Date: Jun-2014
Publisher: Boulder, CO: International Society of the Learning Sciences
Citation: Rivet, A. E., Lyons, C. A., & Miller, A. R. (2014). Using Models for Reasoning and Content Learning: Patterns of Bootstrapping Towards Earth Science Understandings. In Joseph L. Polman, Eleni A. Kyza, D. Kevin O'Neill, Iris Tabak, William R. Penuel, A. Susan Jurow, Kevin O'Connor, Tiffany Lee, and Laura D'Amico (Eds.). Learning and Becoming in Practice: The International Conference of the Learning Sciences (ICLS) 2014. Volume 1. Colorado, CO: International Society of the Learning Sciences, pp. 354-361.
Abstract: A key aspect of using scientific models and other representations as cognitive learning tools is the reciprocal relationship between understanding the nature of models as representations, and understanding the specific concepts and phenomena that the model is intended to represent. However, challenges exist regarding how to describe and measure indicators of this reciprocity. We explored the ways in which 8th and 9th grade students utilized physical dynamic tabletop models towards developing sophisticated understandings of full scale Earth System processes. This approach allowed us to identify and describe evidence of the "bootstrapping" that occurs between understanding the model as a scientific representation, and understanding the science concepts of the represented entities, configurations, motions, and emergent phenomena in the real Earth System. We argue that this notion of bootstrapping is a productive means to conceptualize and support the development of students' epistemological understandings of both scientific models and the represented science concepts.
URI: https://doi.dx.org/10.22318/icls2014.354
https://repository.isls.org//handle/1/1135
Appears in Collections:ICLS2014

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