A Cognition Assessment Authoring System for E-Learning

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題名:	A Cognition Assessment Authoring System for E-Learning
作者:	Wen-Chih Chang;Timothy K. Shih;Hui-huang Hsu;Han-Bin Chang;Hsuan-Pu Chang
日期:	2004-03
上傳時間:	2010-01-29 07:56:27 (UTC+0)
出版者:	Asia University
摘要:	With the rapidly development of distance learning and the XML (Extensible Markup Language) technology, metadata becomes an important item in an e-learning system. Today, many distance learning standards such as SCORM, AICC CMI, IEEE LTSC learning object meta-data (LOM), and IMS learning resource metadata XML binding specification, use metadata to tag learning materials, shareable content objects, and learning resources. However, most metadata is used to define learning materials and test problems. Few metadata is dedicated for assessment in learning. We propose an assessment metadata model for e-learning operations. With the support from the assessment metadata, we can collect information at the question cognition level, item difficulty index, item discrimination index, questionnaire style, and question style. The assessment analysis model provides individual questions, summary of test results, and analytical suggestions. The suggestions and results can tell teachers why a question is not suitable and how to correct it. Teachers can see the analysis of test result and fix problematic questions. With the cognition level analysis, teachers can avoid missing items in teaching. The mechanism developed also suggests an e-learning system, with adaptive learning content and individualized tests, as well as good advice for the teachers.
關聯:	The 6th International Workshop on Multimedia Network Systems and Applications (MNSA'2004), Tokyo, Japan, March 23-26, 2004.
顯示於類別:	[資訊工程學系] 會議論文

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