The Invitation to Learning Engineering webinar series provides an overview of learning engineering, shares use cases on the application of learning engineering, current research findings, and lessons learned. Three webinars have been held with case studies from Government and Military, Higher Education, pK-12 and Workforce.
On October 23rd, 2025 at 1 pm ET/10 am PT, the ICICLE Workforce Market Interest Group (MIG) led a webinar on Advancing Workforce Learning through Learning Engineering. The MIG co-chairs, DJ Jaeger and John Costa, explored how learning engineering supports workforce transformation through data-informed design, system-level thinking, and evidence-based practices that link learning to performance outcomes.
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The IEEE ICICLE Government and Military Market Interest Group (MIG) led by MIG co-chairs, Eric Ultes and Jason Virtue held on Friday 18 July explored how learning engineering can address learning transfer challenges in mission-critical settings and support evidence-informed training, innovation, and performance through a case study featuring Kevin Owens from the Applied Research Laboratories at the University of Texas, a U.S. Department of Defense University Affiliated Research Center (UARC). Kevin will describes a proposed set of learning readiness measures to augment existing technology and human-factors readiness measures used by military and government acquisition and engineering to integrate learning engineering into those existing processes. s in government and military environments.
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The Invitation to Learning Engineering held on 26th March 2025 explored the application of learning engineering across post-secondary contexts. This session highlighted use cases from ICICLE Higher Ed Market Interest Group members, Marilu Lam-Herrera from CPA Western School of Business and Lauren Totino and Aaron Kessler from MIT.
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The Invitation to Learning Engineering webinar held on 11th December 2024 highlighted a use case from Carnegie Learning on the application of learning engineering in pK-12 context. The case study featured Steve Ritter, Founder & Chief Scientist, Husni Almoubayyed, AI Engineering Manager, and Rae Bastoni, Senior UX Researcher. They showcased insights from the work on facilitating math learning with adaptive reading supports.
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