Please use this identifier to cite or link to this item: https://repository.isls.org//handle/1/6340
Title: An In-depth Study of Assessment of Collaborative Problem Solving (CPS) Skills of Students in Both Technological and Authentic Learning Settings
Authors: Tsang, Haley W. C.
Liu, Yiming
Law, Nancy
Keywords: Design
Issue Date: Jun-2020
Publisher: International Society of the Learning Sciences (ISLS)
Citation: Tsang, H. W., Liu, Y., & Law, N. (2020). An In-depth Study of Assessment of Collaborative Problem Solving (CPS) Skills of Students in Both Technological and Authentic Learning Settings. In Gresalfi, M. and Horn, I. S. (Eds.), The Interdisciplinarity of the Learning Sciences, 14th International Conference of the Learning Sciences (ICLS) 2020, Volume 3 (pp. 1381-1388). Nashville, Tennessee: International Society of the Learning Sciences.
Abstract: In a world dominated by ever-increasing technology-mediated social interactions over the now ubiquitous Internet, collaborative problem solving (CPS) has emerged as a critical 21st century skill for study, work and general well-being. In education, both learning and assessing CPS competency are imperatives. However, research related to CPS assessment has not been a mainstream topic in educational measurement, though there are international efforts like PISA and ATC21S initiatives, and a few assessment methodologies have been proposed. This study is an in-depth investigation to compare students’ CPS performance in a closed-ended technology-mediated and an open-ended authentic task setting. Differences in assessment results were observed, which has important implications for the design of learning and/or assessment in CPS. In the extant literature, large-scale CPS assessments deploy tightly framed, technology-mediated tasks, while CSCL research studies learning in authentic contexts. Our findings contribute to a better understanding of how task contexts influence CPS behavior.
URI: https://doi.dx.org/10.22318/icls2020.1381
https://repository.isls.org//handle/1/6340
Appears in Collections:ICLS 2020

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