Achieving the Promise of Learning Analytics: Where We Are, Where We’re Going

Wednesday, October 16, 2019 | 3:15PM–4:00PM CT | W196c, Level 1
Session Type: Breakout Session
Delivery Format: Interactive Presentation
Actionable analytics has been a goal in higher education for more than a decade. While progress has been made, including the increasing adoption of standards like IMS Caliper, many institutions still struggle with how to even get started. This session will present an overview of the state of learning analytics from the perspective of the university as a consumer of data useful to analytics. We will describe the IMS Caliper specification, show analytics in action with the U-M's MYLA project, and share technical details of a real-world analytics infrastructure. We'll also suggest ways that existing organizations and emerging standards can be coordinated to provide an integrated analytics ecosystem that can help institutions of all sizes start to implement meaningful analytics solutions.

Outcomes: Understand university systems designed to support learning analytics and the technology and standards that support them * Explore the topics and issues informing the progress and constraints of useable learning data analytics in the current higher ed landscape * Be able to partake in internal discussions on your institution's analytics strategy

This session was recorded as part of the EDUCAUSE Annual Conference 2019 and can be accessed by full conference attendees and those who register separately for access. Click here for more information.

Presenters

  • Cary Brown

    Director of Strategic Project Management, 1EdTech
  • John Johnston

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

    Enterprise Architect, University of Maryland, Baltimore County
  • Jeff Rubenstein

    Education Advisor, Kaltura Inc

Resources & Downloads

  • Transcript

    249 KB, pdf - Updated on 9/5/2024
  • Recording

    Updated on 9/5/2024
  • Achieving the Promise of Learning Analytics Where We Are Where Were Going

    Updated on 12/11/2019