Digging Deeper: How Learning Data Can Inform Educational Decision-Making

Digital Learning Environments (DLEs) afford numerous benefits for delivering content and activities to enhance learning. Use of trace data from DLEs to inform educational activity and decisions has increasingly expanded in scope and intensity within the last decade. Turning data from these systems into meaningful curricular and pedagogical applications or interventions requires an understanding of the interactions between curricular expectations, student motivations, and pedagogical practices. In this session, we will discuss these intersections and offer principles for the effective understanding of learning data and application of analytics to instruction and learning.

Outcomes: Identify challenges and solutions of and  for the various intersectional challenges for data informed decision making.Understand principles for analyzing and applying data informed decision making to  improve digital learning spaces.Discuss the application of data analytics to these complex spaces where numerous intersections influence educational practices and technological applications.