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has been cited by the following article:

• TITLE: Research on the Causes and Correction Strategies of Group Peer Assessment Performance Bias in Online Collaboration

  AUTHORS: Xiulin Ma, Shumin Tian, Shijing Luo, Xue Jiang

  KEYWORDS: Collaborative Learning, Group Peer Assessment, Performance Deviation, Correction of Deviation

  JOURNAL NAME: Open Journal of Social Sciences, Vol.11 No.7, July 12, 2023

  ABSTRACT: Group peer assessment is essential to online collaborative learning. Quality group peer assessment can effectively promote collaborative knowledge construction and maximize the quality of collaborative group learning. However, in concrete teaching practice, group peer assessment can suddenly reveal serious biases that affect learners’ motivation. In organizing online learning in a collaborative group, the author’s sudden mutual evaluation performance bias directly affected educational equity and seriously demotivated most students. In this paper, we analyzed and corrected the assessment data based on the quality assessment strategy and the Z-score standardization technique and explored the factors that led to the narrow assessment results to establish an effective organization strategy for online collaborative learning assessment activities, a quality assessment system for the assessment data and a correction strategy to avoid the deviation of mutual assessment results in online collaboration and to solve the motivation decay caused by the deviation of mutual evaluation.