文章基本信息

标题：Adaptable Learning Pathway Generation with Ant Colony Optimization
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作者：Lung-Hsiang Wong ; Chee-Kit Looi
期刊名称：Educational Technology and Society
印刷版ISSN：1176-3647
电子版ISSN：1436-4522
出版年度：2009
卷号：12
期号：03
页码：309-309–326
出版社：IFETS - Attn Kinshuck
摘要：One of the new major directions in research on web-based educational systems is the notion of adaptability: the educational system adapts itself to the learning profile, preferences and ability of the student. In this paper, we look into the issues of providing adaptability with respect to learning pathways. We explore the state of the art with respective to deriving the most apt learning pathway to recommend to the learner. Our proposal suggests a novel way of modeling learning pathways that combines rule-based prescriptive planning, which could be found in many of the classic Intelligent Tutoring Systems, and Ant Colony Optimization-based inductive planning, for recommending learning paths by stochastically computing past learners' traveled paths and their performances. A web-based prototype has been developed using C# and .NET technologies.
关键词：Web-based learning, Learning pathway planning, Course sequencing, Personalized e-Learning, Swarm Intelligence (Self-Organizing Agents), Ant Colony Optimization, Learning on Demand