An Item Selection Strategy Based on Association Rules and Genetic Algorithms

Chung-Hua University Repository > 資訊學院 > 資訊管理學系 > 期刊論文 > Item 987654321/32944

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題名:	An Item Selection Strategy Based on Association Rules and Genetic Algorithms
作者:	應鳴雄 Ying, Ming-Hsiung
貢獻者:	資訊管理學系 Information Management
關鍵詞:	selection;rule;genetic;of;taxonomy;assessment theory
日期:	2010
上傳時間:	2014-06-27 02:09:42 (UTC+8)
摘要:	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
顯示於類別:	[資訊管理學系] 期刊論文

文件中的檔案:

檔案	描述	大小	格式	瀏覽次數
p_m321_0188.pdf		27Kb	Adobe PDF	177	檢視/開啟

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