通过对教学数据预处理中的问题进行全面分析，设计了基于元数据的教学数据预处理方法。
To deal with these problems, an architecture design of education data preprocessing based on Meta data is provided.
我们非常想看到教学数据得到整理收集，这些资源得到更有效利用，我们也非常欢迎新的学习模式的出现。
We'd like to see data being gathered, and see these materials being improved, and we'd like to see new models of learning.
按理来说，当分享来之不易的数据时，小型实验室或专注于教学的机构的研究人员损失最大。
Researchers at small labs or at institutions focused on teaching arguably have the most to lose when sharing hard-won data.
应用推荐