Proceedings of the 6th Conference on Computing Education Practice 2022
DOI: 10.1145/3498343.3498346
|View full text |Cite
|
Sign up to set email alerts
|

Gender parity in peer assessment of team software development projects

Abstract: Development projects in which small teams of learners develop software/digital artefacts are common features of computing-related degree programmes. Within these team projects, it can be problematic ensuring students are fairly recognised and rewarded for the contribution they make to the collective team effort and outputs. Peer assessment is a commonly used approach to promote fairness and due recognition. Maintaining parity within assessment processes is also a critical aspect of fairness. This paper present… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
6
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
7
1

Relationship

3
5

Authors

Journals

citations
Cited by 14 publications
(6 citation statements)
references
References 24 publications
(19 reference statements)
0
6
0
Order By: Relevance
“…Learner resilience is recognised as contributing to effective learning and successful study outcomes in higher education in general [29,33,57] and within computer science education in particular [18,19,39]. University-level study is a period of significant transition for all learners [54] and can presents specific significant challenges for many learners new to the discipline [8,14,22].…”
Section: Introductionmentioning
confidence: 99%
“…Learner resilience is recognised as contributing to effective learning and successful study outcomes in higher education in general [29,33,57] and within computer science education in particular [18,19,39]. University-level study is a period of significant transition for all learners [54] and can presents specific significant challenges for many learners new to the discipline [8,14,22].…”
Section: Introductionmentioning
confidence: 99%
“…Finally, attention to non-binary people has been limited. While there are a few studies focusing on non-binary developers [36], [37], even studies that acknowledge presence of such genders [38], [39] tend to exclude non-binary individuals from further analysis due to the limited amount of data available. While we did not exclude the non-binary participant we managed to recruit, they identified as woman for most of their career and thus their statements contribute to the challenges and strategies of women developers rather than to those specific to non-binary developers.…”
Section: Related Workmentioning
confidence: 99%
“…There are concerns that students mark based on social standing rather than rigorous application of assessment criteria [6], and that other biases lead students to "give themselves the highest amount both too often and not enough" [21, p.9]. Many other forms of bias also complicate the process [9,10,44,46].…”
Section: Related Workmentioning
confidence: 99%