Free Online Course on Practical Learning Analytics

The University of Michigan is offering free online course on Practical Learning Analytics. This MOOC offers a flexible, collaborative introduction to learning analytics in higher education.samrachThis course builds upon previous learning analytics successes at U-M and provides a framework for learners to gather and understand data in order to make more informed choices to improve learning. The course will start on October 4, 2016.

Course At A Glance

Length: 4 weeks
Effort: 2-8 hours per week
Subject: Data Analysis & Statistics
Institution: University of Michigan and edX
Price: Free
Certificate Available: Yes. Add a Verified Certificate for $49
Session: Course will start on October 4, 2016

Providers’ Details

The mission of the University of Michigan is to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values, and in developing leaders and citizens who will challenge the present and enrich the future.

About This Course

Everyone involved in higher education has questions. Students want to know how they’re doing and which classes they should take. Faculty members want to understand their students’ backgrounds and to learn whether their teaching techniques are effective. Staff members want to be sure the advice they provide is appropriate and find out whether college requirements accomplish their goals. Administrators want to explore how all of their students and faculty are doing and to anticipate emerging changes. The public wants to know what happens in college and why.

Why Take This Course?

This course builds upon previous learning analytics successes at U-M and provides a framework for learners to gather and understand data in order to make more informed choices to improve learning. The course emphasizes analytical approaches that anyone can take and provides students with real sample data and code to help facilitate analysis. Learners are able to choose one or more of five tracks to follow within the course, and can dive into those tracks at either a high or deep level, engaging with the material as best fits their needs.

Learning Outcomes

  • 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




Instructors

Tim McKay

Dr. McKay is Arthur F. Thurnau Professor of Physics, Astronomy and Education, and Principal Investigator of the Digital Innovation Greenhouse at the University of Michigan.

Requirements

College-level maturity

How To Join This Course

  • Go to the course website link
  • Create an edX account to SignUp
  • Choose “Register Now” to get started.
  • edX offers honor code certificates of achievement, verified certificates of achievement, and XSeries certificates of achievement. Currently, verified certificates are only available in some courses.
  • Once applicant sign up for a course and activate their account, click on the Log In button on the orghome page and type in their email address and edX password. This will take them to dashboard, with access to each of their active courses. (Before a course begins, it will be listed on their dashboard but will not yet have a “view course” option.)

Apply Now