Publication Type
Conference Proceeding Article
Version
acceptedVersion
Publication Date
3-2024
Abstract
Collaboration is used in Software Engineering (SE) to develop software. Industry seeks SE graduates with collaboration skills to contribute to productive software development. SE educators can use Collaborative Learning (CL) to help students develop collaboration skills. This paper uses a Systematic Mapping Study (SMS) to examine the application of the CL educational theory in SE Education. The SMS identified 14 papers published between 2011 and 2022. We used qualitative analysis to classify the papers into four CL paradigms: Conditions, Effect, Interactions, and Computer-Supported Collaborative Learning (CSCL). We found a high interest in CSCL, with a shift in student interaction research to computer-mediated technologies. We discussed the 14 papers in depth, describing their goals and further analysing the CSCL research. Almost half the papers did not achieve the appropriate level of supporting evidence; however, calibrating the instruments presented could strengthen findings and support multiple CL paradigms, especially opportunities to learn at the social and community levels, where research was lacking. Though our results demonstrate limited CL educational theory applied in SE Education, we discuss future work to layer the theory on existing study designs for more effective teaching strategies.
Keywords
collaborative learning, software engineering education, systematic mapping study
Discipline
Software Engineering
Research Areas
Software and Cyber-Physical Systems
Publication
SIGCSE 2024: Proceedings of the 55th ACM Technical Symposium on Computer Science Education, Portland, USA, March 20-23
Volume
1
First Page
366
Last Page
372
ISBN
9798400704239
Identifier
10.1145/3626252.3630780
Publisher
ACM
City or Country
New York
Citation
GARCIA, Rita; TREUDE, Christoph; and VALENTINE, Andrew.
Application of collaborative learning paradigms within software engineering education: A systematic mapping study. (2024). SIGCSE 2024: Proceedings of the 55th ACM Technical Symposium on Computer Science Education, Portland, USA, March 20-23. 1, 366-372.
Available at: https://ink.library.smu.edu.sg/sis_research/8935
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1145/3626252.3630780