Let’s talk about L&D, skillsets, AI, and more
From AI as a finishing layer to core startup marketing principles for training measurement, the eLearning industry’s April publication calendar featured top-notch topics. Read about leveraging LLM for skill-based learning, AI-enabled skillset recognition, and visual artifacts from guest authors. In no particular order, here are my favorite reads for April.
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Guest Posting Guide: How to Become a Top Content Contributor in the eLearning Industry
Learn what you can get from guest blogging and the basics of how to write guest posts for the eLearning industry.
Best reads of April
Cut the Cable by Brady Licht
Most AI-powered learning tools send more data to the AI than necessary. According to Brady Licht, there is a way around this. By processing what you can with structured data and saving production calls for what you can’t really do, you get tools that are cheaper, more reliable, and often produce better results.
8 Practical Ways L&D Professionals Can Use Images in LLM to Design Better Learning by Dr. Athena Stanley
Large-scale language models (LLMs) are more than just text tools. Dr. Athena Stanley’s article explores eight practical ways L&D professionals can use images in LLM to enhance instructional design workflows and turn 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 Kokotowicz
Teaching through skills, especially in the age of AI, delivers results that theory alone can never achieve. Filip Kokotović shares four reasons why skills-based learning is the most effective training approach for adult learners because it’s practical, engaging, and adaptable to a variety of delivery formats.
What Startup Marketing Teaches L&D Teams About Measuring Training ROI By Elizabeth Sramek
Elizabeth Slamek’s article shows how L&D experts can apply five core principles of startup marketing measurement (attribution modeling, cohort analysis, CAC-style costing, experimentation velocity, and payback period) to ultimately measure training programs the same way companies measure everything else.
Seeing the whole student: How AI is reshaping the recognition and allocation of skill sets in K-12 education by Felipe Castro Cres
Traditional K-12 assessment methods fail to capture the full range of student abilities, leading to overlooked strengths and misallocation of resources. Felipe Castro Quiles proposes using AI-powered approaches as a way to continuously analyze diverse learning behaviors, enabling more accurate skill recognition and personalized learning.
Would you like to be featured in our next Guest Author Showcase?
Let’s give a big virtual round of applause to all the writers who shared their articles in April. Each month, our Guest Post Showcase will feature your standout work. If you’d like to be featured on the following list, submit your article to establish thought leadership and connect with the eLearning community.
