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

A. Mitchell, M. Scott, Joseph Walton-Rivers, Matt Watkins, Warwick New, Douglas Brown
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Abstract

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. It builds upon prior qualitative work, 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 pressure; ease and 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 informs the development of a conceptual framework, suggesting focuses which facilitate effective peer evaluation. Expanding this conceptual framework and validating it across different demographics, contexts, and project types are suggested as avenues for further investigation.
小组游戏开发项目中学生同伴评价体验的探索性分析
协作项目在计算机教育中很常见。它们通常使学生获得团队开发软件的经验,使他们具备在劳动力市场上具有竞争力所需的团队合作技能。然而,学生往往需要鼓励来反思和综合他们的经验,以获得最大的学习。同行评价提供了这样一种方法,但促进有效的同行评价的条件尚未建立。这篇论文试图提供学生的经验与同伴评价的见解。它建立在之前的定性工作的基础上,分析了本科生在合作数字游戏开发模块上所做的问卷调查所收集的定量数据。探索性因素分析确定了学生体验中七个维度的差异:感知影响;任意的影响力;不一致;团队凝聚力;评估压力;轻松和专业。相关分析表明,任意性影响、团队凝聚力、考核压力、专业性等因素与获得性学习相关,而不一致性、繁重性等因素与获得性学习无关。这为概念框架的发展提供了信息,提出了促进有效同行评价的重点。扩展这一概念框架,并在不同的人口统计、背景和项目类型中验证它,建议作为进一步调查的途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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