Analytics in Instructional Design

The data-informed instructional design model aims to leverage student-generated data to inform web-based course design, which parallels emerging theory on course design and learning analytics. In the session, we will introduce replicable standard techniques that harvest student-generated data in the LMS and demonstrate ways of analyzing the data and applying the results to inform the course design. For instance, the data-driven approach can addresses whether it is an effective design to keep a quiz available after its due date for students to practice and whether the features of an LMS discussion tool facilitate discussion contribution.

Outcomes: Learn about commonly identified student engagement data in an LMS * Learn how to harvest or request specific student-generated data in an LMS that are defined as students engagement data