学习资源网络模型构建及资源推荐策略设计

通过分析基于终身学习机制的个性化推荐系统与基于电子商务的个性化推荐系统的区别,确定基于终身学习机制的个性化推荐系统的关键问题就是如何为学习者获得想要具备的能力推荐满足他们个人需求、个人爱好以及目前已具备的知识结构的最佳学习路径.针对终身学习中正式学习和非正式学习不同的学习情况,构建了学习资源网络模型,在此基础上将基于本体的推荐技术和协同推荐技术相结合,为学习者的不同学习情况运用不同的推荐策略推荐最佳学习路径.最后通过实验对推荐结果进行分析,确定最优方案.

Learning Resource Network Model and Recommended Strategy Analysis

By analyzing the difference of personal recommendation systems between life-long learning mechanism and electronic commerce,the key question of personalized recommendation system based on life-long learning mechanism is settled,which is how to recommend the best learning path to meet the learners′ individual needs,personal preferences and knowledge structure,which can help them obtain the desired capability.For lifelong learning,formal learning and informal learning are two different learning situations,learning resource network model was constructed,on this basis,ontology-based recommendation technology and collaborative recommendation technology are combined to recommend the best learning path by applying different learning recommended strategies when learners are in different situations.Finally,experimental results are analyzed on the recommendation to determine the optimal program.