Moving from Learning Analytics to Institutional Effectiveness
Higher education is witnessing a remarkable moment of experimentation and data collection, where new ways of thinking about learning are coming from innovative faculty and start-ups as well as established institutions and corporate partners. Using the ECAR Analytics Maturity Index, participants will do a self-assessment in order to inform a process of creating a practical model for data-driven decision making for their campus. This session will focus on practical ways to apply the latest learning science principles with the discoveries found in volumes of data that are generated from digital learning activities.
OUTCOMES: Explore the foundations of learning analytics and institutional effectiveness * Critique a specific model for learning design to improve student success * Articulate one concrete step for evidence-based decision making at your institution
Assoc. VP, Instructional Technology, University of Maryland, Baltimore County
Chris HigginsPrincipal, CJPH Consulting
Angie McAllisterSVP Data & Analytics, Pearson