【摘要】 针对远程教育平台中,因缺乏有效的学习控制、个性化的引导、调节等而导致平均学习效率低下的问题,提出了一种基于知识点架构的个性化课程导学模型。该模型根据课程中知识点的本体结构、资源档案以及学习者的档案和学习行为等,通过知识点本体结构与图的转换、路径权值更新、路径搜索、内容筛选、本体更新等步骤,实时地定制出适合于学习者个体的学习内容。在实验中,方法应用于上海交通大学网络教育学院的《数据结构》课程。经分析与研究说明,算法不仅能够帮助学习者完成课程的学习,并能有效地控制、引导学习者对资源的访问和课程的学习,达到了提高学习者学习质量和学习兴趣的目的;同时,该方法也能够发现课程初始本体结构中不合理的关系。更多还原

【Abstract】 This paper describes a novel methodology to generate personalized learning guidance content for e-learners according to course ontology and their profiles. Through ontology-graph transformation, weight updating algorithm, content customization and ontology update, the methodology implements an automatic-adapted relationship with gradually enhanced learning control. After a period of learning, the ontology can be updated to achieve a more accurate personalization. The proposed methodology is applied to the implementation of a web based learning system based upon the course ‘Data Structure’. Experimental results show that the model can not only help the e-learners finish their course, but also can achieve the purpose of increasing learning efficiency and quality through the way of controlling their access to learning resources and giving them effective guidance.更多还原