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Using learning analytics to understand student perceptions of peer feedback
Computers in Human Behavior ( IF 8.957 ) Pub Date : 2021-04-01 , DOI: 10.1016/j.chb.2020.106658
Kamila Misiejuk , Barbara Wasson , Kjetil Egelandsdal

Abstract Peer assessment (PA) is the process of students grading and giving feedback to each other’s work. Learning analytics is a field focused on analysing educational data to understand and improve learning processes. Using learning analytics on PA data has the potential to gain new insights into the feedback giving/receiving process. This exploratory study focuses on backward evaluation, an under researched aspect of peer assessment, where students react to the feedback that they received on their work. Two aspects are analysed: 1) backward evaluation characteristics depending on student perception of feedback that they receive on their work, and 2) the relationship between rubric characteristics and backward evaluation. A big dataset (N=7,660 records) from an online platform called Peergrade was analysed using both statistical methods and Epistemic Network Analysis. Students who found feedback useful tended to be more accepting by acknowledging their errors, intending to revise their text, and praising its usefulness, while students who found the feedback less useful tended to be more defensive by expressing that they were confused about its meaning, critical towards its form and focus, and in disagreement with the claims. Moreover, students mostly suggested feedback improvement in terms of feedback specificity, justification and constructivity, rather than kindness. The paper concludes by discussing the potential and limitations of using LA methods to analyse big PA datasets.

中文翻译:

使用学习分析来了解学生对同伴反馈的看法

摘要 同伴评估(PA)是学生对彼此的工作进行评分和反馈的过程。学习分析是一个专注于分析教育数据以了解和改进学习过程的领域。对 PA 数据使用学习分析有可能获得对反馈提供/接收过程的新见解。这项探索性研究侧重于后向评估,这是同伴评估的一个研究不足的方面,学生对他们在工作中收到的反馈做出反应。分析了两个方面:1) 后向评价特征取决于学生对他们收到的工作反馈的看法,以及 2) 量规特征与后向评价之间的关系。一个大数据集(N=7,660 条记录)来自一个名为 Peergrade 的在线平台,使用统计方法和认知网络分析进行了分析。发现反馈有用的学生倾向于通过承认错误、打算修改文本并赞扬其有用性而更容易接受,而发现反馈不太有用的学生倾向于更加防御,表示他们对其含义感到困惑,批评其形式和重点,并且不同意其主张。此外,学生们大多建议在反馈特异性、合理性和建设性方面进行反馈改进,而不是善意。本文最后讨论了使用 LA 方法分析大型 PA 数据集的潜力和局限性。发现反馈有用的学生倾向于通过承认错误、打算修改文本并赞扬其有用性而更容易接受,而发现反馈不太有用的学生倾向于更加防御,表示他们对其含义感到困惑,批评其形式和重点,并且不同意其主张。此外,学生们大多建议从反馈的针对性、合理性和建设性方面进行反馈改进,而不是善意。本文最后讨论了使用 LA 方法分析大型 PA 数据集的潜力和局限性。发现反馈有用的学生倾向于通过承认错误、打算修改文本并赞扬其有用性而更容易接受,而发现反馈不太有用的学生倾向于更加防御,表示他们对其含义感到困惑,批评其形式和重点,并且不同意其主张。此外,学生们大多建议在反馈特异性、合理性和建设性方面进行反馈改进,而不是善意。本文最后讨论了使用 LA 方法分析大型 PA 数据集的潜力和局限性。对其形式和重点持批评态度,并且不同意这些主张。此外,学生们大多建议从反馈的针对性、合理性和建设性方面进行反馈改进,而不是善意。本文最后讨论了使用 LA 方法分析大型 PA 数据集的潜力和局限性。对其形式和重点持批评态度,并且不同意这些主张。此外,学生们大多建议在反馈特异性、合理性和建设性方面进行反馈改进,而不是善意。本文最后讨论了使用 LA 方法分析大型 PA 数据集的潜力和局限性。
更新日期:2021-04-01
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