Let’s talk about L&D, Skills, AI, and More
From AI as the finishing layer to startup marketing’s key principles for measuring training, the eLearning Industry’s April publishing calendar has top-notch topics. Learn about skill-based learning, AI-enabled skill set recognition, and LLMs helping virtual artifacts, as written by our guest authors. In no particular order, these are our favorite books from April.
Ebook
Guest Posting Guide: How to Become a Top Content Contributor in the eLearning Industry
Discover the benefits of guest blogging and the basics of writing guest posts in the eLearning Industry.
Best Reads From April
Cut the Cable By Brady Licht
Most AI-powered learning tools send far more to the AI than they need. According to Brady Licht, there is a way around this. By managing what you can with structured data and saving the productive call for what you really know, you get tools that are cheaper, more reliable, and often produce better results.
8 Effective Ways L&D Professionals Can Use Images with LLMs to Design Better Learning Dr. Athena Stanley
Large Language Models (LLMs) are not just textual tools. The article by Dr. Athena Stanley explores eight practical ways L&D professionals can use graphics with LLMs to strengthen Instructional Design workflows, turning visual artifacts like whiteboards, notes, space, and dashboards into actionable learning insights.
The Case for Competency-Based Learning in a Rapidly Changing Workplace By Filip Kokotović
Teaching skills provides results that theory alone cannot, especially in AI-dominated times. Filip Kokotović presents four reasons why competency-based learning is the most effective training method for older students, as it is effective, engaging, and flexible in all delivery formats.
What First Marketing Teaches L&D Teams About Measuring the ROI of Training By Elizabeth Sramek
Elizabeth Sramek’s article shows L&D professionals how to adapt five key startup measurement principles—for example, cluster analysis, CAC-style costing, evaluation speed, and payback times—to ultimately measure training programs the way the business measures everything else.
Seeing the Whole Learner: 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 students’ abilities, resulting in missed potential and misused resources. Felipe Castro Quiles proposes to use an AI-enabled approach as a way to continuously analyze various learning behaviors, allowing for more accurate skill recognition and personalized learning.
Want to be Featured in Our Next Guest Writer Showcase?
Let’s give a big round of applause to all the writers who shared their articles with us in April. We’ll highlight your standout pieces every month in our Guest Post Showcase. If you would like to be considered for our next list, submit your article to build thought leadership and connect with our eLearning community.
