Student Success Using Analytics and Data-Driven Learning Strategies

The importance of data from traditional and digital sources for discovery and analysis (the usage of BI tools) is critical in ensuring student retention and success. At the same time helping our stakeholders learn at the pace of change across the university system means understanding and integrating learning frameworks and strategies driven by intelligent data and cognitive science to foster discovery and research in education. We have the knowledge. Join us to dig deeper into how we can create responsive and flexible strategies to enable learning success across an organization by communicating critical information and calls to action in support of recruitment, outreach, retention, and graduation efforts. Explore how to integrate silos and shadow systems to create responsive and flexible strategies for learning success across the academy.

OUTCOMES: Explore the use of BI tools and regression analysis to create predictive analytical models * Analyze how to use data-driven, system-wide services to further learning success * Create a unique departmental learning profile to inform future actions