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ERIC Number: EJ1016305
Record Type: Journal
Publication Date: 2013
Pages: 10
Abstractor: As Provided
ISSN: ISSN-1436-4522
Predictive Effects of Online Peer Feedback Types on Performance Quality
Yu, Fu-Yun; Wu, Chun-Ping
Educational Technology & Society, v16 n1 p332-341 2013
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.
International Forum of Educational Technology & Society. Athabasca University, School of Computing & Information Systems, 1 University Drive, Athabasca, AB T9S 3A3, Canada. Tel: 780-675-6812; Fax: 780-675-6973; Web site:
Publication Type: Journal Articles; Reports - Research
Education Level: Elementary Education; Grade 5
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Taiwan
Identifiers - Assessments and Surveys: Torrance Tests of Creative Thinking
Grant or Contract Numbers: N/A