本体驱动的e-Learning知识资源个性化推荐研究

Ontology-driven Personalized Recommendation of Knowledge Resource in e-Learning

e-Learning重要特点就是能够根据学习者特性、需求，适应性呈现学习资源和学习路径，实现个性化学习，有效促进学习目标达成。为实现e-Learning知识资源个性化推荐，该文采用基于知识推荐技术，同时基于本体技术创建学习者知识和知识资源，在教学模式的指导下实现知识资源个性化推荐。实验结果表明：学生能够很好理解本体概念，愿意学习本体知识，同时认为本体驱动的知识资源个性化推荐很有用，能够满足个性化学习需求、激发学习者学习动机、增强网络自主学习能力及优化学习过程。本文研究的意义：一是基于学习者特征讨论了合适的推荐技术；二是设计了学习者知识和学习资源的通用本体；三是为知识资源个性化推荐设计了有效指导教学模式。

According to learner characteristics and requirements， adaptive learning resources and learning path may enhance individual learning in e-Learning. Knowledge based recommender technique and ontological approach are used in this paper for the personal knowledge resources push. The results show that students can understand ontology and think that ontology-driven personalized recommendation of knowledge resource which may satisfy individual learning requirements， stimulate learning motivations， promote learner autonomy and optimize study process is very useful. The first significant property of this study is discussing the appropriate recommendation technology based on learner characteristics. The second property is designing the common ontology of the learner and knowledge resources. The third property is building the effective teaching mode for knowledge resource personalized recommendation.