Big Data in Education

Education is increasingly occurring online or in educational software, resulting in an explosion of data that can be used to improve educational effectiveness and support basic research on learning. In this course, you will learn how and when to use key methods for educational data mining and learning analytics on this data.

About The Course

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.

Frequently Asked Questions

  • Will I get a Statement of Accomplishment after completing this class?

Yes. Students who successfully complete the class will receive a Statement of Accomplishment signed by the instructor.

  • What resources will I need for this class?
You should have a reasonably fast computer. Several software packages will be used in class, but there are free options available. 

Recommended Background

Basic knowledge of either statistics, data mining, mathematical
modeling, or algorithms is recommended. Experience
with programming is not required.