The relationships among online question-generation, peer-assessment and academic achievement

Fu-Yun Yu, Chun Ping Wu

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

Abstract

This study examined the relationships among student performances in questiongeneration, peer-assessment, and academic achievement in four different online peerassessment learning environments. Eight fifth-grade classes (N=253) were randomly assigned to one of four different identity revelation modes (real-name, anonymous, nickname, and self-choice) and 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 peerassessment was adopted. Data analysis revealed significant relationships among the three examined variables. Additionally, the identity revelation modes moderated the predictive power of online question-generation performance on academic achievement. Specifically, the predictive power in the self-choice mode was the greatest. Finally, self-choice identity mode strengthened the relationships between peer-assessment and question-generation performances. The empirical significance of the study and suggestions for learning system development and instructional implementation are provided.

Original languageEnglish
Title of host publicationConnecting Computer-Supported Collaborative Learning to Policy and Practice
Subtitle of host publicationCSCL 2011 Conference Proceedings - Long Papers, 9th International Computer-Supported Collaborative Learning Conference
Pages319-325
Number of pages7
Publication statusPublished - 2011 Dec 1
Event9th International Computer-Supported Collaborative Learning Conference: Connecting Computer-Supported Collaborative Learning to Policy and Practice, CSCL 2011 - Hong Kong, China
Duration: 2011 Jul 42011 Jul 8

Publication series

NameConnecting Computer-Supported Collaborative Learning to Policy and Practice: CSCL 2011 Conference Proceedings - Long Papers, 9th International Computer-Supported Collaborative Learning Conference
Volume1

Other

Other9th International Computer-Supported Collaborative Learning Conference: Connecting Computer-Supported Collaborative Learning to Policy and Practice, CSCL 2011
CountryChina
CityHong Kong
Period11-07-0411-07-08

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications

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