Threshold Value in Automatic Learning Style Detection

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• 作者：Norazlina Ahmad ; Zaidatun Tasir
• 关键词：Learning styles ; automatic detection ; literature-based approach
• 刊名：Procedia - Social and Behavioral Sciences
• 出版年：6 November, 2013
• 年：2013
• 卷：97
• 期：Complete
• 页码：346-352
• 全文大小：493 K

文摘

Previous studies demonstrate that automatic approach is a better approach to identify learning styles in online learning because it is based on the actual students鈥?behavior pattern while learning. However, the threshold value for every behavior pattern has to be obtained to identify students鈥?learning style. The purpose of this study is to determine the threshold value based on patterns of behavior for 20 students who studied the Interactive Multimedia course. Patterns of behaviour were analyzed based on students鈥?online learning activities log file. The findings indicate that the threshold values are different depending on for the course structure, subject and experience of different students. Therefore, the determination of the threshold needed to ensure the measurement dimensions of online learning is based on actual usage of the investigated features of the course.