Assessment of Digital Collaboration Skills

Date
2024-01-03
Authors
Huerta, Esperanza
Franzoni Velázquez, Ana Lidia
Jensen, Scott
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84
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Abstract
This exploratory study proposes a methodology for assessing digital collaboration skills based on the students’ actual behavior. Students’ comments using a digital collaboration tool during a one-month long project were manually coded. This methodology is not context specific and can be used across different domains. This assessment contrasts with self-reported measures in which students rate themselves as already possessing collaboration skills. Finally, the study explores the use of generative AI to automatically code student’s comments to alleviate the labor-intensive process that coding requires and to enable scalability in coding data.
Description
Keywords
Advances in Teaching and Learning Technologies, assessment, chatgpt, digital collaboration, generative ai, qualitative data coding
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10 pages
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Related To
Proceedings of the 57th Hawaii International Conference on System Sciences
Table of Contents
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Attribution-NonCommercial-NoDerivatives 4.0 International
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