How Common Data Modeling Benefits Data-Driven Teaching and Learning

Wednesday, October 31 | 1:30PM–2:15PM MT | Meeting Room 301/302
Session Type: Breakout Session
Delivery Format: Interactive Presentation
We will discuss how a common data model for teaching and learning data benefits the cultivation of data-driven decision-making. Drawing on our experience building tools and services for advisors and students with commonly modeled data, we will discuss how common data modeling is not only essential but also nurtures a data-driven culture.

Outcomes: Understand how a common data model builds a holistic, data-driven decision-making culture in teaching and learning * Understand the benefits a common data model when building services and tools for data-driven teaching and learning * Learn how 3 institutions diversified their teaching and learning service portfolio by leveraging a common data model

Presenters

  • Colin DeLong

    Senior Data Scientist & Director of Application Development, University of Minnesota-Twin Cities

  • John Johnston

    IT Program Manager - ITS Teaching & Learning, University of Michigan-Ann Arbor

  • Etienne Pelaprat

Resources & Downloads

  • How Common Data Modeling Benefits DataDriven Teaching and Learning

    Updated on 4/20/2024