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基于社会性标签的相似学习伙伴推荐系统设计 被引量:5

Design & Development of Similar Learners Recommendation System based on Social Tags
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摘要 目前,网络化教育的教学效果并不理想,学习者往往沉溺于众多的学习资源却很难找到适合自己的资源,信息过载、信息迷途而引起的学习焦虑现象已屡见不鲜。通过调研及查阅相关文献,分析传统授课环境与网络化教学环境的差异,指出为学习者推荐合适的"学习伙伴"将会是网络化教育好转的关键因素。在此基础上,构建基于社会性标签技术的相似学习伙伴推荐系统模型并进行系统实现。该模型对网络化学习环境中学习者"独学而无友""学习焦虑"、学习积极性低等问题提供一个有效的解决方案。 The effect of current WEB-based teaching is dissatisfactory. Learners tend to indulge in the sea of learning resources and they are unable to find suitable resources, information due to the overloading. Based on relevant literature and the analysis of difference between traditional teaching environment and network teaching environment, the author suggests the effect of role models. In network teaching environment, peers, experts, learning partners are extremely valuable learning resources, which are the pulling power and impetus for the learners. Recommending suitable human-learning resource will be critical factor for success.
作者 王红磊
出处 《中国教育技术装备》 2012年第36期45-48,共4页 China Educational Technology & Equipment
关键词 社会性标签 相似学习伙伴 推荐系统 social tag similar learner recommendation system
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