Cascadia Open Education Summit

Describe ways to use data to identify areas in a course in which students struggle, and improve content and assessments associated with those outcomes.

With the rich data streams generated by today’s digital learning tools, there are huge opportunities to assess the effectiveness of OER content and make data-driven, iterative improvements. An ongoing problem in higher education is that teaching materials and courseware are either not assessed for effectiveness or are assessed using only measures of satisfaction rather than of actual learning gains. When we use data to guide where and how we improve learning content, it creates a virtuous cycle producing even more effective instructional tools and practice to continue improving student success.

This session will discuss the work that Lumen Learning is doing to identify the most difficult
outcomes in each course as revealed by rigorous analysis of a wide range of learner data, work to understand why students are struggling in these areas, and improve the content and assessments associated with these outcomes in order to measurably improve student success. All the content improvements made through this process are released CC BY.