Paper Info
Title
Web Based Peer Assessment Using Knowledge Acquisition Techniques: Tools for Supporting Contexture Awareness
Abstract
Web based peer assessment for portfolios has been used as an innovative assessment methods to reuse students portfolio for refining learning. However, without sophisticated support to articulate the assessment contexture about portfolios, students can not communicate with explicit learning concepts and think reflectively for refinement of their learning. This study attempts to utilize knowledge acquisition and data mining techniques to solve the problems in support contexture awareness. By way of knowledge acquisition and data mining techniques, web peer assessment systems obtain students' personal theories during assessing portfolios. Thereby, teachers and students can go online to fully exchange personal theories, thus allowing them to think reflectively for refinement of learning.
Year
DOI
Venue
2002
10.1109/CIE.2002.1186239
ICCE
Keywords
Field
DocType
knowledge acquisition techniques,peer assessment,students portfolio,innovative assessment method,sophisticated support,assessment system,contexture awareness,assessment contexture,knowledge acquisition,refining learning,explicit learning concept,personal theory,data mining technique,data mining
Data science,Educational computing,Peer assessment,Computer science,Reuse,Knowledge management,Portfolio,Web application,Knowledge acquisition
Conference
ISBN
Citations 
PageRank 
0-7695-1509-6
2
0.51
References 
Authors
2
4
Name
Order
Citations
PageRank
Chen-Chung Liu149253.96
Baw-Jhiune Liu219338.12
Tzu-An Hui320.51
Jorng-Tzong Horng454167.78