Publication Date
1-1-2024
Document Type
Conference Proceeding
Publication Title
Proceedings of the Annual Hawaii International Conference on System Sciences
DOI
10.24251/HICSS.2023.011
First Page
84
Last Page
93
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.
Keywords
assessment, ChatGPT, digital collaboration, generative AI, qualitative data coding
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Department
Information Systems and Technology
Recommended Citation
Esperanza Huerta, Ana Lidia Franzoni Velázquez, and Scott Jensen. "Assessment of Digital Collaboration Skills" Proceedings of the Annual Hawaii International Conference on System Sciences (2024): 84-93. https://doi.org/10.24251/HICSS.2023.011
