An Item Selection Strategy Based on Association Rules and Genetic Algorithms

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Please use this identifier to cite or link to this item: http://chur.chu.edu.tw/handle/987654321/32944

Title:	An Item Selection Strategy Based on Association Rules and Genetic Algorithms
Authors:	應鳴雄 Ying, Ming-Hsiung
Contributors:	資訊管理學系 Information Management
Keywords:	selection;rule;genetic;of;taxonomy;assessment theory
Date:	2010
Issue Date:	2014-06-27 02:09:42 (UTC+8)
Abstract:	The online learning and testing have been as important topics of information education. The main purpose of academic testing is to improve learning. Students could take online test to evaluate their achievements to learning goals. Many online test systems
Appears in Collections:	[Department of Information Management] Journal Articles

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