An empowering Hands-On Technical Tutorial
This project is an engaging tutorial for Articulate Storyline developers who want to learn or refresh their skills in exporting data from Storyline to Google Sheets. Beginners are systematically guided and have plenty of opportunities to prepare themselves through various interactive activities (sorting, experimenting, building through software simulation, etc.), while more seasoned developers also enjoy the tips and tricks sprinkled throughout.
During her time with us, Laure consistently exhibited a proactive attitude, tackling challenges head-on and thriving in complex projects.
In addition to her technical skills, Laure has a unique talent for identifying areas of improvement and crafting solutions that enhance team effectiveness. For example, she designed two successful shared resource platforms that streamlined communication with our parent population and simplified workflows across our teaching team. Her commitment to continuous reflection and evidence-based practice ensures that every project she touches is grounded in research and collaboration.
When working with me, she consistently demonstrated a high level of self-reliance, delivering exceptional work even in high-pressure, time-sensitive situations. Whether managing Google Workspace or coordinating e-learning tools, she remains adaptable and capable of juggling multiple projects simultaneously without compromising quality.
Organized, detail-oriented, and possessing a keen eye for design, Laure is a true professional who elevates those around her. I highly recommend her for any instructional design role and am confident she will be an invaluable addition to any organization.
Isabelle Bettler, EFA Director
I’ve known Laure for more than nine years and she was an outstanding teacher of French to my son. I got to know her creative and engaging teaching style and have been impressed at how she designs classroom learning. When COVID-19 began, and we all began remote learning, Laure took her entire school online, with full digital classrooms for more than 10 teachers who had limited technical experience.
Laure is excited to start a new course, one filled with instructional design for a variety of adult learners on a full-time basis. As an instructor myself, I can see her doing great, creative things for faculty, staff, and students, enhancing their courses. Laure has a strong technical skill set that could work in a variety of training and instructional environments.
Sharon V. Munroe, MBA, MPH, CHWI
The use of artificial intelligence has surged in recent years, bringing with it the promise of profound changes in how many jobs—especially in instructional design—are performed.
In our field, AI can support a wide range of tasks. To explore this, let’s frame our discussion using the ADDIE model:
Large Language Models (LLMs), such as ChatGPT, can assist with problem identification, drafting SME interview questions, and suggesting possible solutions. These tools offer both high-level inspiration and practical support for instructional strategizing.
LLMs also aid in storyboard creation. Meanwhile, AI-powered visual design tools are increasingly used to generate both low-fidelity and high-fidelity mockups, accelerating the design process with impressive ease.
AI-based development tools are becoming more advanced every day. They simplify complex tasks and enable designers to work faster while exploring innovative formats for content delivery.
AI can enhance these phases as well—particularly through the rapid analysis of collected learning data. These insights can inform revisions and improve future learning experiences.
Despite the power of these tools, it ultimately comes down to how we use them. Instructional designers must stay grounded in foundational practices. Tools like action mapping remain invaluable for ensuring that learning solutions address the right problems with the right objectives.
Let’s look at a practical example.
🎥 AI in Action: Synthesia
Synthesia is an AI-powered video communications platform that can turn text into video in minutes. It uses avatars and AI-generated voices to produce multilingual content—and even allows users to create virtual versions of themselves to “present” the content.
While tools like Synthesia are impressive, they require thoughtful application. For instance, I came across an AI-generated video on Value-Based Selling Fundamentals. Although it was visually engaging—certainly more dynamic than a plain PDF—it moved too quickly and lacked concrete examples, which limited its effectiveness for learning. It was a polished shell, but lacked the substance needed for real knowledge retention.
⚙️ The Real Work Behind Effective Learning
In contrast, consider the detailed scenario-based eLearning solution developed by instructional designer Kristin Dominguez, showcased on her portfolio. Her approach highlights the real-world effort required to build impactful learning experiences—from conducting SME interviews to applying rigorous design methodology and storytelling principles.
Her slide deck, shown here, demonstrates all the steps necessary, in real life, to get to the design of an interactive scenario-based eLearning experience, relying on interviews with a Subject Matter Expert, a rigorous methodology, and some storytelling craft. Then, the development of the scenario-based eLearning experience is yet to be done.
Ultimately, the future of instructional design will not be defined by AI alone, but by how we integrate it into a thoughtful, learner-centered process. By blending emerging tools with proven practices, we can accelerate the production of learning experiences while maintaining control over their value and impact.