Please use this identifier to cite or link to this item: https://repository.isls.org//handle/1/6641
Title: Crowdsourcing Explanations for Improving Assessment Content and Identifying Knowledge Components
Authors: Moore, Steven
Nguyen, Huy
Stamper, John
Keywords: Scale
Issue Date: Jun-2020
Publisher: International Society of the Learning Sciences (ISLS)
Citation: Moore, S., Nguyen, H., & Stamper, J. (2020). Crowdsourcing Explanations for Improving Assessment Content and Identifying Knowledge Components. In Gresalfi, M. and Horn, I. S. (Eds.), The Interdisciplinarity of the Learning Sciences, 14th International Conference of the Learning Sciences (ICLS) 2020, Volume 5 (pp. 2627-2628). Nashville, Tennessee: International Society of the Learning Sciences.
Abstract: Refining assessment items to improve their clarity and identifying the intended knowledge components required to solve them is a time-consuming task. In this study, we present the results of crowdsourcing insights into the underlying concepts of problems in mathematics and English writing, as a step towards leveraging the crowd to expedite the task. This work demonstrates a method to use the crowd’s knowledge that can lead to knowledge component identification and improved assessments.
URI: https://doi.dx.org/10.22318/icls2020.2627
https://repository.isls.org//handle/1/6641
Appears in Collections:ICLS 2020

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