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The emerging research communities in educational data mining and learning analytics are developing methods for mining and modeling the increasing amounts of fine-grained data becoming available about learners. In this class, you will learn about these methods, and their
strengths and weaknesses for different applications. You will learn how to use each method to answer education research questions and to drive intervention and improvement in educational software and systems. Methods will be covered both at a theoretical level, and in terms of how to apply and execute them using standard software tools. Issues of validity and generalizability will also be covered, towards learning to establish how trustworthy and applicable the results of an analysis are.