Abstract
Team-based software development projects where teams of learners design and develop software artefacts are common in computing- related degree programmes in the UK and other jurisdictions. Peer assessment is a commonly used approach to ensure learners are fairly recognised and rewarded for their contributions to such projects. This poster presents a preliminary study analysing the relationship between peer marking using the Team-Q rubric and peer feedback from one cohort using open coding and sentiment analysis. The preliminary results from a UK institutional study (N=124) illustrate how learner behaviours within teams appear to impact upon peer scores and the sentiment and intensity of emotion expressed in peer feedback. Additionally, the results provide valuable insights into common behaviours within teams. Given the prominence of team projects in computing curricula, the insights offered from this UK institutional study can shape and inform future learning, teaching and assessment practice.
Original language | English |
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Title of host publication | SIGCSE 2022 |
Subtitle of host publication | Proceedings of the 53rd ACM Technical Symposium on Computer Science Education |
Editors | Larry Merkle, Maureen Doyle, Kristin Stephens-Martinez , Judithe Sheard, Leen-Kiat Soh, Brian Dorn |
Place of Publication | New York |
Publisher | ACM |
Pages | 1169 |
Number of pages | 1 |
Volume | 2 |
ISBN (Print) | 9781450390712 |
DOIs | |
Publication status | Published - 3 Mar 2022 |
Event | The 53rd Technical Sylmposium on Computer Science Education - Providence, Rhode Island, United States Duration: 2 Mar 2022 → 5 Mar 2022 Conference number: 53 https://sigcse2022.sigcse.org/ |
Conference
Conference | The 53rd Technical Sylmposium on Computer Science Education |
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Abbreviated title | SIGCSE TS 2022 |
Country/Territory | United States |
City | Rhode Island |
Period | 2/03/22 → 5/03/22 |
Internet address |
Keywords
- Peer assessment
- team-based software projects
- sentiment analysis