The U.S. Census Bureau is preparing to train more than 300,000 temporary workers for the 2030 Decennial Census through a fully digital, mobile‑first learning experience. Enumerators—who typically have low‑to‑medium digital literacy and little prior census or government experience—must onboard within a single week, making clarity, accessibility, and practice central design requirements. 

Building on the successful blended learning approach introduced during the 2020 Census, the Bureau is transitioning to a fully accessible digital environment that integrates eLearning, virtual instructor‑led training (vILT), and AI‑supported practice with xAPI analytics. Most enumerators will complete training exclusively on government‑issued mobile devices, making mobile‑only delivery a core constraint and requiring all content to meet Section 508 standards. 

This case study shares how the Census Bureau is designing a consistent, scalable program that supports a large, distributed workforce while operating within restricted federal IT environments. 

In this session, you will learn to:

• Drive actionable learning design decisions through connection to organizational goals
• Apply mobile‑first vILT practices that improve learner engagement
• Apply a criticality‑driven approach to prioritizing learning content
• Examine strategies for implementing AI‑supported practice in restricted IT environments
• Explore strategies for supporting diverse digital‑literacy levels in large‑scale training

Attendees should be familiar with eLearning, virtual ILT, and AI-enabled learning experiences and have intermediate-level familiarity with business alignment.