Please use this identifier to cite or link to this item: https://repository.isls.org//handle/1/1014
Title: Detecting Iterative Cycles of Engineering Design from Student Digital Footprints in Computer-Aided Design Software
Authors: Zhang, Zhihui Helen
Xie, Charles
Nourian, Saeid
Issue Date: Jun-2014
Publisher: Boulder, CO: International Society of the Learning Sciences
Citation: Zhang, Z. H., Xie, C., & Nourian, S. (2014). Detecting Iterative Cycles of Engineering Design from Student Digital Footprints in Computer-Aided Design Software. 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 3. Colorado, CO: International Society of the Learning Sciences, pp. 1517-1518.
Abstract: As engineering design has been extensively incorporated in the Next Generation Science Standards, the need for understanding student design processes has never been greater. This paper demonstrates an innovative approach: computational process analytics (CPA) to analyze students' fine-grained digital footprints while using a computer-aided design tool to complete a solar urban design. CPA reveals critical student design patterns such as iteration and fixation, which provides researchers and teachers with invaluable insights about student learning.
URI: https://doi.dx.org/10.22318/icls2014.1517
https://repository.isls.org//handle/1/1014
Appears in Collections:ICLS2014

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