Title: Web-based peer assessment: feedback for students with various thinking-styles
Authors: Lin, SSJ
Liu, EZF
Yuan, SM
教育研究所
資訊工程學系
Institute of Education
Department of Computer Science
Keywords: aptitude;computer science;discourse analysis;feedback;peer assessment;undergraduate;world-wide web
Issue Date: 1-Dec-2001
Abstract: This 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.
URI: http://dx.doi.org/10.1046/j.0266-4909.2001.00198.x
http://hdl.handle.net/11536/14497
ISSN: 0266-4909
DOI: 10.1046/j.0266-4909.2001.00198.x
Journal: JOURNAL OF COMPUTER ASSISTED LEARNING
Volume: 17
Issue: 4
Begin Page: 420
End Page: 432
Appears in Collections:Articles


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