Introduction
Most of my recent work has been done at MEA Energy Association (MEA), within a highly templated, compliance-driven training environment. In that context, many design decisions are governed by established templates and regulatory requirements rather than individual preference.
Because much of this work can’t be shared publicly, the samples here are intentionally selective. They include one public-facing eLearning course shown in full, alongside examples that focus on how I approach large-scale course maintenance, compliance-driven decision-making, and the use of AI to support technical content creation.
Together, these examples are meant to show both the learning products I build and the systems and scaffolds that make that work sustainable.
E-Learning Samples
Renewable Energy Grid Integration - Full Course
Originally developed in Lectora, this complete eLearning course is shown here using screenshots of the live course.
The PDF version opens in a new tab and presents the full course in a simple, scrollable format. The downloadable PowerPoint version includes navigation elements that support quicker movement through this somewhat lengthy course.
The knowledge test is provided as a separate file.
Renewable Energy Grid Integration - Introductory Video Learning Series (Video Script)
This script was developed as part of a proposed short-form video learning series focused on renewable energy grid integration. While the video production was postponed, the scripting phase was completed and reflects how I approach video-based learning design
Project Planning
Flash Remediation
This sample documents a large-scale Flash remediation effort completed under significant time pressure due to the sunset of Adobe Flash. Hundreds of courses and thousands of interactions had to be rebuilt to keep training available to learners.
This is an informal retrospective presentation created for staff to make the scale, hidden complexity, and collaborative nature of the work visible.
Mobile Viability
This project documents a mobile viability exploration conducted to evaluate whether existing eLearning content could be delivered effectively on mobile devices. The work involved research across authoring tools and delivery approaches, with a focus on identifying constraints, tradeoffs, and unanswered questions that would need to be addressed before large-scale implementation.
Decision Scaffolds and Project Guides
CFRM Decision Making Flow
This internal decision-making guide was created to support authors during ongoing Code of Federal Regulations related course maintenance. It helps clarify when regulatory changes do and do not require content updates, reducing ambiguity in a compliance-driven environment.
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AI Assisted Project Instructions
This sample shows how I designed an AI-assisted workflow to support a course development project. It pairs author-facing project instructions with parallel GPT instructions to create a structured, repeatable authoring preparation process that leverages AI while keeping the author in the driver’s seat. A core focus of the design was ongoing quality review and calibration—allowing AI to generate momentum while ensuring human judgment remained central at every stage.