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首页> 外文会议>2013 Second International Conference on e-Learning and e-Technologies in Education >Towards recommender systems supporting knowledge sharing and transfer in vocational education and training
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Towards recommender systems supporting knowledge sharing and transfer in vocational education and training

机译：建立支持职业教育和培训中知识共享和传播的推荐系统

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摘要

A number of recommender systems (RS) have been developed or are being developed in the context of technology enhanced learning (TEL). However, there is a lack of research focusing on the dual system of vocational education and training (VET). Knowledge sharing and transfer in VET have their own particularities. We suggest that RS can pro-actively support knowledge sharing and transfer and help users find information they need and are most likely interested in. We analyzed and identified tasks and goals of RS focusing on end-users in VET, and formulate them as multiple RS tasks in VET, which are compliant with our objective to support knowledge sharing and transfer. We suggest that a multidimensional RS adapted to the VET context, to fulfill and achieve multiple user tasks, is needed and introduce a hybrid multidimensional RS to support knowledge sharing and transfer in VET. A four dimensional RS approach, i.e. Similarity Degree, Quality Degree, Diversity Degree and Interest Degree, is presented. We developed a recommender system for the teaching and learning online community expertAzubi.
机译：在技​​术增强学习（TEL）的背景下，已经开发或正在开发许多推荐系统（RS）。但是，缺乏针对职业教育与培训双重制度（VET）的研究。 VET中的知识共享和转移有其自身的特殊性。我们建议RS可以主动支持知识共享和转移，并帮助用户找到他们需要和最可能感兴趣的信息。我们分析并确定了以VET最终用户为中心的RS的任务和目标，并将其表述为多个RS VET中的任务，符合我们支持知识共享和转移的目标。我们建议需要一个适应VET环境的多维RS，以完成并实现多个用户任务，并引入混合多维RS，以支持VET中的知识共享和转移。提出了一种二维RS方法，即相似度，质量度，多样性度和兴趣度。我们为教与学在线社区专家Azubi开发了一个推荐系统。

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