文章基本信息

标题：Improvisation of Learner’s Ability using Adaptive Online Assessment Methodology
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作者：Uday Kumar Mothukuri ; Swathi Murukutla ; Sandesh Jain 等
期刊名称：International Journal of Computer Information Systems and Industrial Management Applications
印刷版ISSN：2150-7988
电子版ISSN：2150-7988
出版年度：2013
卷号：5
页码：289-296
出版社：Machine Intelligence Research Labs (MIR Labs)
摘要：Learning experience can be enhanced by providing adaptability in online assessment, which is the focus of several recent research projects and papers, and with the explosive growth of information sources available on the World Wide Web. In this Paper, we present the system architecture for applying psychological methodologies to online assessment that adapts to the examinee's ability level and the other side we describe that web mining can be applied to Learning Content Management Systems to build knowledge about e-Learning and has potential to help and improve learner's performance. This paper also outlines how to increase the knowledge proficiency and skill set after identifying the ability level.
关键词：e-Assessment; QTI; CAT; CCT; IRT; eP ortfolio; Web ; Mining.