Please use this identifier to cite or link to this item: https://repository.isls.org//handle/1/686
Title: Designing for and Analyzing Productive Uncertainty in Science Investigations
Authors: Manz, Eve
Issue Date: Jul-2018
Publisher: International Society of the Learning Sciences, Inc. [ISLS].
Citation: Manz, E. (2018). Designing for and Analyzing Productive Uncertainty in Science Investigations. In Kay, J. and Luckin, R. (Eds.) Rethinking Learning in the Digital Age: Making the Learning Sciences Count, 13th International Conference of the Learning Sciences (ICLS) 2018, Volume 1. London, UK: International Society of the Learning Sciences.
Abstract: This paper explores methods to design and analyze learning environments in which uncertainty is incorporated into students’ activity to support the development of science practices and content understandings. I describe how a second grade landforms investigation was designed to incorporate productive uncertainty about the relationships between phenomenon, empirical investigation, evidence, and explanation. I then describe, apply, and reflect on an analytic method to trace uncertainty through (1) instantiation in the learning environment (2) recognition and introduction into conversation, and (3) conversations in which uncertainty supports participation in science practices.
URI: https://doi.dx.org/10.22318/cscl2018.288
https://repository.isls.org//handle/1/686
Appears in Collections:ICLS 2018

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