Enhancing Peer Assessment Validity with Engagement Behaviors: A Structural Equation Modeling Approach

Jiaxin Yang, Heng Luo, Ningning Song, Xin Yin
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Abstract

Peer Assessment is an essential activity in massive open online courses (MOOCs) to provide students with evaluation and feedback in a timely manner. However, the lack of instructor involvement and the diverse student population have raised the concern regarding its credibility, and there has been insufficient validity evidence to support the interpretation and refinement of current peer assessment approach. The present paper proposed a comprehensive framework to examine the validity evidence of peer assessment scores in MOOCs by analyzing the interplay among peer assessment ratings, instructor ratings, and various peer engagement behaviors in MOOCs. The study results can extend our understanding of peer assessment approach and inform its future usage and refinement in MOOCs.
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基于敬业行为的同伴评价效度提升:结构方程建模方法
同伴评议是大规模在线开放课程(MOOCs)的一项重要活动,目的是为学生提供及时的评价和反馈。然而,缺乏教师参与和多样化的学生群体引起了对其可信度的担忧,并且没有足够的有效性证据来支持当前同伴评估方法的解释和改进。本文通过分析mooc中同伴评价评分、教师评分和各种同伴参与行为之间的相互作用,提出了一个综合框架来检验mooc同伴评价分数的效度证据。研究结果可以扩展我们对同行评估方法的理解,并为其在mooc中的应用和改进提供指导。
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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