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.