个性化E-learning框架研究

Research on the framework for E-learning personalization

本文提出了在E-learning环境下的虚拟校园中分析学生浏览行为的框架。学生通过浏览基于Web的虚拟校园与采用SCORM E-learning标准结构的学习资源相交互。本文的主要目是设计一个使用挖掘工具,来分析学生的浏览行为和抽取能用来确定与虚拟校园相关某些方面的设计和可用性,依靠学生学档(profile)为每门课程制订理想的排课安排表等相关知识。最后,结合教师的专业知识和由系统使用情况分析取得的学生学习体验。本文拟扩充标准学习管理系统SCORM序列能力和推荐路径的一些概念。

This paper proposes a framework for analyzing the navigational behavior of the students in a virtual campus under an E-learning environment. The students interact with learning resources which are structured following the SCORM E-learning standard through the navigate of the Web based virtual campus. The main goal is to design a usage mining tool for learning such students＇ navigational behavior and for extracting relevant information that can be used to validate several aspects related to virtual campus design and usability but also to determine the optimal scheduling for each course depending on students＇ profile. This paper intend to extend the sequencing capabilities of the standard SCORM learning management systems to include the concept of recommended itinerary, by combining teachers expertise with learned experience acquired by system usage analysis.