Learning Experience

The Learning Lab experience is supported by both asynchronous and synchronous components. Each Learning Lab sequence includes a set of resources, an asynchronous discussion, and an interactive live session, all of which culminate in the development of a project or application to apply learning to local and specific contexts in support of the learning objectives.


Welcome Session

May 10, 2022, 3:00–4:00 p.m. ET

This is a live session to learn the details of the Learning Lab, the Canvas site, and expectations for the microcredential. There will also be time to get to know your fellow Lab partners and facilitator.

Learning Sequence 1: Grassroots Leadership

May 12, 2022, 3:00–4:30 p.m. ET

Rooted in an understanding of how their role supports organizational success, grassroots leaders influence change through trust, collaboration, and clear communication. These leaders collaborate effectively across the institution, generate excitement through stories of success, and cultivate trust through transparent reflections on unsuccessful endeavors. In this learning sequence, you’ll reflect on how your role and work in analytics tie to your institution’s mission. Then, you’ll start to consider how you can influence the use of analytics throughout your organization.

Learning Sequence 2: Analytics Leadership

May 19, 2022, 3:00–4:30 p.m. ET

Institutional leaders rely on diverse data sources to drive strategic planning and student success initiatives. Coordinated use of these data requires engagement from leaders across the institution, including business units, IT, and IR. In this learning sequence, you will identify key analytics stakeholders and learn how to build partnerships for collaboration throughout your institution.

Culmination Session

May 26, 2022, 3:00–4:30 p.m. ET

The Learning Lab will conclude with an application or implementation project (described below) and a closing live session to review and process the learning from the lab.

Lab Implementation Project

You will have the opportunity to complete an institutional self-assessment that helps you evaluate your institution’s readiness for analytics. Using the results of the self-assessment, you’ll draft an initial, high-level plan for moving analytics forward from your position in your organization. Based on a templated roadmap, your plan will include strategies for including appropriate stakeholders and collaborating on important next steps.