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/987654321/31797

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:	Item selection strategy;Association rule;Genetic algorithm;revision of Bloom's taxonomy
Date:	2009
Issue Date:	2014-06-27 01:37:22 (UTC+8)
Abstract:	The main purpose of academic testing is to improve learning. The computer-based test (CBT) and online test (OLT) have been important trends in e-learning. Many online test systems randomly generate test papers from an item bank. A high-quality test must t
Appears in Collections:	[Department of Information Management] Seminar Papers

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