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ERIC Number: EJ1124779
Record Type: Journal
Publication Date: 2016-Jul
Pages: 16
Abstractor: As Provided
ISSN: EISSN-2330-8516
Agent-Based Modeling of Collaborative Problem Solving. Research Report. ETS RR-16-27
Bergner, Yoav; Andrews, Jessica J.; Zhu, Mengxiao; Gonzales, Joseph E.
ETS Research Report Series, Jul 2016
Collaborative problem solving (CPS) is a critical competency in a variety of contexts, including the workplace, school, and home. However, only recently have assessment and curriculum reformers begun to focus to a greater extent on the acquisition and development of CPS skill. One of the major challenges in psychometric modeling of CPS is collecting large-scale data on teams and processes. In this study, we explore the use of agent-based modeling (ABM) to model the CPS process, test the sensitivity of outcomes to different population characteristics, and generate simulated data that can provide a novel means by which to refine and develop psychometric models. Methods of adapting trait-based stochastic processes to a specific task are described, and preliminary results are presented.
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A