Please use this identifier to cite or link to this item: https://repository.isls.org/handle/1/224
Title: Articulating Uncertainty Attribution as Part of Critical Epistemic Practice of Scientific Argumentation
Authors: Lee, Hee-Sun
Pallant, Amy
Pryputniewicz, Sarah
Lord, Trudi
Issue Date: Jul-2017
Publisher: Philadelphia, PA: International Society of the Learning Sciences.
Citation: Lee, H., Pallant, A., Pryputniewicz, S., & Lord, T. (2017). Articulating Uncertainty Attribution as Part of Critical Epistemic Practice of Scientific Argumentation In Smith, B. K., Borge, M., Mercier, E., and Lim, K. Y. (Eds.). (2017). Making a Difference: Prioritizing Equity and Access in CSCL, 12th International Conference on Computer Supported Collaborative Learning (CSCL) 2017, Volume 1. Philadelphia, PA: International Society of the Learning Sciences.
Abstract: Models are important in discovering trends, developing and testing theories, and making predictions about complex systems. Since models cannot represent all known and unknown aspects of how nature operates, claims based on model-based data inevitably contain uncertainty. This study explores (1) how high school students attribute sources of uncertainty when prompted as part of an argumentation task and (2) how intelligent feedback may guide them to become more cognizant about deep uncertainty associated with model-based data. Phenomenological analyses of students’ uncertainty attributions (N = 840) identified five distinct patterns: self-introspection, personal theories and experiences, data source acknowledgement, scientific description based on singular causal accounts and frequency of observations, and deep uncertainty based on epistemic or ontic accounts. Discourse captured on video illustrated how intelligent feedback enhanced uncertainty attribution.
URI: https://repository.isls.org/handle/1/224
https://dx.doi.org/10.22318/cscl2017.21
Appears in Collections:CSCL 2017

Files in This Item:
File SizeFormat 
21.pdf833.03 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.