基于主题学习的学习伙伴推荐算法

Learning Partners Recommendation Algorithm Based on Thematic Study

学习伙伴是开放虚拟学习社区的重要资源,学习伙伴中的助学者可以帮助普通学习者克服学习障碍,相互提高沟通交流能力.在构建出基于本体的知识库后,综合学习者的兴趣、认知和热心度特征,提出了一种基于主题学习的学习伙伴推荐算法.实验结果表明,学习者在提供学习经历后,算法可以计算出它与其他学习者之间的伙伴评分,评分差异较好反映了真实学习环境中的最佳学习伙伴经验,有效地提高了开放虚拟学习社区构建的个性化和智能化,从而提升开放学习社区中学习者的学习效率和效果.

Learning partners are important resources in opening virtual studying community. The tutors who come from the learning partners can help the general learner out of learning disabilities, and improve their ability of communication each other. After constructing a Knowledge Database based on ontology, we record the learner characters about interest, grade of cognize, degree of enthusiasm. According to these factors, we bring forward a learning partner recommendation algorithm using Thematic Study. The result of experiment indicates that the algorithm can make different partner grade on the foundation of the learner’s study experience. These grade can reflect the reality situation. It is significant for opening virtual studying community to improve its personalization and intellectualization, consequently to advance study efficiency.