期刊論文

學年 101
學期 1
出版(發表)日期 2013-01-01
作品名稱 Predictive effects of online peer feedback types on performance quality
作品名稱(其他語言)
著者 Yu, Fu-Yun; Wu, Chun-Ping
單位 淡江大學教育科技學系
出版者 Palmerston North: International Forum of Educational Technology & Society
著錄名稱、卷期、頁數 Educational Technology & Society, 16(1), p.332-341
摘要 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.
關鍵字 Ratings;Learning;Higher education;Online learning;Topping;Pedagogy;Writing instruction;Collaborative learning;Educational evaluation;Student evaluation of teacher performance
語言 en_US
ISSN 1436-4522
期刊性質 國外
收錄於 SSCI
產學合作
通訊作者 Yu, Fu-Yun
審稿制度
國別 AUS
公開徵稿
出版型式 ,電子版,紙本
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