ELI Leadership Seminar

The 2020 Analytics Leadership Seminar will focus on policy and practice surrounding institutional use of analytics and big data, with a specific focus on the emerging field of learning analytics. Different approaches within the broad landscape of educational data sciences will be demarcated, including academic analytics, educational data mining, and learning analytics. Particular attention will be given to institutional readiness for learning analytics approaches, emphasizing broad requirements for clarity of purpose, an open ethical framework, and inclusive and open governance as the basis for leadership, communication, and developing consensus and buy-in, including buy-in from learners. Real-world institutional stories, including experiences from outside North America, will illustrate and ground the conversation throughout. Collaborative discussions and facilitated activities will give attendees an opportunity to experiment with strategic leadership frameworks related to analytics initiatives.


  • Work with and evaluate various strategic frameworks designed for analytics initiative planning, rollout, and sustainability
  • Acquire and begin using common language surrounding central issues of effective analytics leadership
  • Gain insight into embedding effective and ethical frameworks in policy and governance and collaboratively discuss effective approaches to this work


  • Monday 8:00–11:00 a.m.
  • Tuesday 11:45 a.m.–1:30 p.m.
  • Wednesday 8:00–9:15 a.m.

Who Should Participate?

The seminar is for mid- and senior-level leadership and other interested parties at institutions that are preparing to implement, working to implement, or working to sustain analytics initiatives. The leadership seminar requires separate registration. Your registration includes all programming and a hosted lunch on Tuesday.

To register for the Leadership Seminar, you must also register for the ELI Annual Meeting in Bellevue, Washington.

ELI Leadership Seminar Facilitators

Kimberly Arnold, Senior Evaluation Consultant and LA Lead, University of Wisconsin-Madison

Mitchell Colver, Senior Data Analyst, Utah State University

Ian Dolphin, Executive Director, Apereo Foundation