Working it Out When it Doesn't Work Out: Collecting Efficacy Data for Continuous Improvement

We all know the importance of collecting data on our individual and institutional efforts and projects. But what happens when the data doesn't show what you expected? How do you move forward? This presentation will focus on a case example of creating collaborative online working groups, the efficacy data collected, and what happened when the results did not pan out as expected. Faculty and instructional designers alike will benefit from this course-specific example as both a pattern for how to think through the data to collect to determine efficacy and how to pivot when the data reveals an unexpected finding.