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dc.contributor.authorLin, SSJen_US
dc.contributor.authorLiu, EZFen_US
dc.contributor.authorYuan, SMen_US
dc.date.accessioned2014-12-08T15:20:23Z-
dc.date.available2014-12-08T15:20:23Z-
dc.date.issued2001-12-01en_US
dc.identifier.issn0266-4909en_US
dc.identifier.urihttp://dx.doi.org/10.1046/j.0266-4909.2001.00198.xen_US
dc.identifier.urihttp://hdl.handle.net/11536/14497-
dc.description.abstractThis study used aptitude treatment interaction design to examine how feedback formats (specific vs. holistic) and executive thinking styles (high vs. low) affect web-based peer assessment. An Internet-based (anonymous) peer-assessment system was developed and used by 58 computer science students who submitted assignments for peer review. The results indicated that while students with high executive thinking styles significantly improved over two rounds of peer assessment, low executive students did not improve through the cycles. In addition, high executive students contributed substantially better feedback than their low executive counterparts. In the second round of peer assessment, thinking style and feedback format interactively affected student learning. Low executive students receiving specific feedback significantly outperformed those receiving holistic feedback. In receiving holistic feedback, high executive thinkers outperformed their low executive counterparts. This study suggests that future web-based peer assessment adopts a specific feedback format for all students.en_US
dc.language.isoen_USen_US
dc.subjectaptitudeen_US
dc.subjectcomputer scienceen_US
dc.subjectdiscourse analysisen_US
dc.subjectfeedbacken_US
dc.subjectpeer assessmenten_US
dc.subjectundergraduateen_US
dc.subjectworld-wide weben_US
dc.titleWeb-based peer assessment: feedback for students with various thinking-stylesen_US
dc.typeArticleen_US
dc.identifier.doi10.1046/j.0266-4909.2001.00198.xen_US
dc.identifier.journalJOURNAL OF COMPUTER ASSISTED LEARNINGen_US
dc.citation.volume17en_US
dc.citation.issue4en_US
dc.citation.spage420en_US
dc.citation.epage432en_US
dc.contributor.department教育研究所zh_TW
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentInstitute of Educationen_US
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000172422900010-
dc.citation.woscount75-
Appears in Collections:Articles


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