Practical Learning Analytics
This MOOC offers a flexible, collaborative introduction to learning analytics in higher education. You’ll learn by doing, using realistic data and code.
About this course
Practical Learning Analytics has a specific goal: to help us collectively ponder learning analytics in a concrete way. To keep it practical, we will focus on using traditional student record data, the kinds of data every campus already has. To make it interesting, we will address questions raised by an array of different stakeholders, including campus leaders, faculty, staff, and especially students. To provide analytic teeth, each analysis we discuss will be supported by both realistic data and sample code
What you'll learn
- About the landscape of learning analytics in higher education
- How to bring in data of your own for analysis and visualization
- About performance prediction in a course: up to and including grade penalties, placement analyses, performance disparities and their correlates, course-to-course correlation
- How institutions are creating early warning systems and personalized communication
- How to apply learning analytics to observe differences and probe impact, capturing more and better information