Let’s Talk L&D, Skillsets, AI, And More
From AI as a finishing layer to core start-up marketing principles for training measurement, eLearning Industry’s April publication calendar featured top-notch topics. Read about skills-based learning, AI-enabled skillset recognition, and leveraging LLMs for visual artifacts, as written by our guest authors. In no particular order, these are our favorite reads from April.
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The Best Reads From April
Cut The Cable By Brady Licht
Most AI-powered learning tools send far more to the AI than they need to. According to Brady Licht, there’s a way around this. By handling what you can with structured data and saving the generative call for what you genuinely cannot, you get tools that are cheaper, more reliable, and often produce better results.
8 Practical Ways L&D Professionals Can Use Images With LLMs To Design Better Learning By Dr. Athena Stanley
Large Language Models (LLMs) are not only text tools. Dr. Athena Stanley’s article explores eight practical ways L&D professionals can use images with LLMs to strengthen Instructional Design workflows, turning visual artifacts such as whiteboards, notes, environments, and dashboards into actionable learning insights.
The Case For Skills-Based Learning In A Rapidly Changing Workplace By Filip Kokotović
Teaching through skills delivers results that theory alone never can, especially in AI-dominant times. Filip Kokotović presents four reasons why skills-based learning is the most effective training approach for adult learners, as it is practical, engaging, and adaptable across delivery formats.
What Start-Up Marketing Teaches L&D Teams About Measuring Training ROI By Elizabeth Sramek
Elizabeth Sramek’s article shows L&D professionals how to adapt five core start-up marketing measurement principles—attribution modeling, cohort analysis, CAC-style cost accounting, experiment velocity, and payback periods—to finally measure training programs the way the business measures everything else.
Seeing The Whole Student: How AI Is Reshaping Skillset Recognition And Allocation In K-12 Education By Felipe Castro Quiles
Traditional K-12 assessment methods fail to capture the full range of student abilities, leading to missed strengths and misallocated resources. Felipe Castro Quiles proposes using an AI-enabled approach as a way to continuously analyze diverse learning behaviors, enabling more accurate skill recognition and personalized learning.
Want To Be Featured In Our Next Guest Author Showcase?
Let’s have a big round of virtual applause for all of the writers who shared their articles with us in April. We’ll highlight your standout pieces monthly in our Guest Post Showcase. If you’d like to be considered for our next list, submit your article to build thought leadership and connect with our eLearning community.
