Predictive effects of online peer feedback types on performance quality

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Title:	Predictive effects of online peer feedback types on performance quality
Authors:	Yu, Fu-Yun;Wu, Chun-Ping
Contributors:	淡江大學教育科技學系
Keywords:	Ratings;Learning;Higher education;Online learning;Topping;Pedagogy;Writing instruction;Collaborative learning;Educational evaluation;Student evaluation of teacher performance
Date:	2013-01
Issue Date:	2013-05-23 23:18:41 (UTC+8)
Publisher:	Palmerston North: International Forum of Educational Technology & Society
Abstract:	This study examined the individual and combined predictive effects of two types of feedback (i.e., quantitative ratings and descriptive comments) in online peer-assessment learning systems on the quality of produced work. A total of 233 students participated in the study for six weeks. An online learning system that allows students to contribute to and benefit from the process of question-generation and peer-assessment was adopted. The regression results indicated that quantitative ratings and descriptive comments significantly predicted the quality of produced work (i.e., question-generation performance) both individually and collectively, and descriptive feedback explained more variance in quality of produced work than did quantitative ratings. The empirical significance of this study and suggestions for online learning system development, instructional implementation and future studies are discussed.
Relation:	Educational Technology & Society, 16(1), p.332-341
Appears in Collections:	[Graduate Institute & Department of Educational Technology ] Journal Article

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