Predictive effects of online peer-assessment on student question-generation

Fu Yun Yu, Chun Ping Wu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The study examined the predictive effects of online peer-assessment on student question-generation. Specifically, the individual and collective predictive effects of two types of feedback (i.e., quantitative ratings and descriptive comments) available in peer-assessment learning systems on student question-generation performance were investigated. 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 result found that quantitative ratings and descriptive comments individually and collectively significantly predicted question-generation performance. Suggestions for learning system development are provided.

Original languageEnglish
Title of host publicationProceedings of the 19th International Conference on Computers in Education, ICCE 2011
Pages355-361
Number of pages7
Publication statusPublished - 2011 Dec 1
Event19th International Conference on Computers in Education, ICCE 2011 - Chiang Mai, Thailand
Duration: 2011 Nov 282011 Dec 2

Publication series

NameProceedings of the 19th International Conference on Computers in Education, ICCE 2011

Other

Other19th International Conference on Computers in Education, ICCE 2011
CountryThailand
CityChiang Mai
Period11-11-2811-12-02

All Science Journal Classification (ASJC) codes

  • Education

Fingerprint Dive into the research topics of 'Predictive effects of online peer-assessment on student question-generation'. Together they form a unique fingerprint.

Cite this