Discussions on MOOCs, on digital textbooks and new authoring and publishing models, on privacy issues related to digital practices, etc. have led to increased interest in Learning Analytics and Educational Data Mining. The European 7th Framework Coordination and Support action project, LACE (Learner Analytics Community Exchange) is devoted to structure this discussion and build communities that explore the potentials and pitfalls of the unprecedented availability of data related to education and learning. This paper gives a basic introduction to Learning Analytics and Educational Data Mining, presenting a generic framework and outlining how this will be used to support community building and discourse on different aspects of these themes within schools, higher education and the workplace. Learning Analytics and Educational Data Mining both only recently brought to the top of the educational technology trend lists, this paper argues that a discourse and co-design approach would be the best to follow for the broad range of identified stakeholders.
展开▼
机译：有关MOOC，有关数字教科书和新的创作和出版模型，有关与数字实践有关的隐私问题的讨论等，引起了人们对Learning Analytics和Educational Data Mining的越来越浓厚的兴趣。欧洲第七框架协调与支持行动项目LACE（学习者分析社区交流）致力于组织这次讨论并建立社区，以探索与教育和学习有关的数据的空前可用性的潜力和陷阱。本文对学习分析和教育数据挖掘进行了基本介绍，提出了一个通用框架并概述了如何将其用于支持社区建设以及在学校，高等教育和工作场所中就这些主题的不同方面进行论述。学习分析和教育数据挖掘都只是最近才在教育技术趋势列表中名列前茅，本文认为，话语和协同设计方法对于大多数已确定的利益相关者而言是最佳的选择。
展开▼
