An Exploratory Analysis of Student Experiences with Peer Evaluation in Group Game Development Projects

Mitchell, Alexander, Scott, Michael ORCID: https://orcid.org/0000-0002-6803-1490, Walton-Rivers, Joseph, Watkins, Matt, New, Warwick and Brown, Douglas ORCID: https://orcid.org/0000-0001-6662-6629 (2022) An Exploratory Analysis of Student Experiences with Peer Evaluation in Group Game Development Projects. In: Proceedings of the 2022 United Kingdom and Ireland Computing Education Research Conference, September 1-2, 2022, Dublin, Ireland.

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Abstract / Summary

Collaborative projects are commonplace in computing education. They typically enable students to gain experience building software in teams, equipping them with the teamwork skills they need to be competitive in the labour market. However, students often need encouragement to reflect upon and synthesise their experience to attain the most learning. Peer evaluation offers one such approach, but the conditions which facilitate effective peer evaluation have not yet been established. This paper seeks to provide insight into student experiences with peer evaluation. This builds upon a prior qualitative study, analysing quantitative data collected through a questionnaire taken by undergraduate students on a collaborate digital game development module. An exploratory factor analysis identifies seven dimensions of variance in the student experience: perceived impact; arbitrary influence; inconsistency; team cohesiveness; assessment reward; ease; as well as professionalism. Correlation analysis suggests some factors such as arbitrary influence, team cohesion, assessment pressure, and professionalism are associated with attained learning, whilst factors such as inconsistency and onerousness are not. This paper defines a conceptual framework, suggesting considerations for educators adopting peer evaluation. Expanding the framework and validating it across different demographics, contexts, and project types are suggested as avenues for further investigation.

Item Type:	Conference or Workshop Item (Paper)
Subjects:	Computing & Data Science Education Computing & Data Science > Game Design
Courses by Department:	The Games Academy
Depositing User:	Michael Scott
Date Deposited:	13 Jul 2022 10:51
Last Modified:	18 Nov 2024 14:24
URI:	https://repository.falmouth.ac.uk/id/eprint/4614

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