Overview: Want to know which guest author articles were eLearning Industry's favorite in July? Check out our new Showcase update.
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Top Guest Author Articles From July

If you're looking for summer reads, check out July's edition of our Guest Author Article Showcase. We're delving deep into low-stakes error practice, the unseen leadership of women at work, practical AI frameworks, and the challenge of learning transfer. This compilation covers a wide range of topics, and they're all must-reads, so feel free to explore them in any order.

Cover of Are You An L&D Pro? Help Shape The Future Of AI-Powered Learning Technology Research
Cover of Are You An L&D Pro? Help Shape The Future Of AI-Powered Learning Technology Research
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Are You An L&D Pro? Help Shape The Future Of AI-Powered Learning Technology Research

Influence the industry's understanding of AI in learning tech by sharing your insights. You only need five minutes.

eLearning Industry's Monthly Showcase Of Guest Author Articles

The Why L&D Teams Need To Make Invisible Leadership Work Teachable By Tetiana Popovych

Women in leadership roles carry a substantial layer of effort that largely lives out of view—quiet conflict prevention, emotional regulation across the team, and process adjustments that absorb organizational friction before it surfaces. Tetiana Popovych's illuminating piece examines why that contribution goes unrecognized.

How Business Leaders Should Evaluate AI Opportunities Without Getting Distracted By Hype By Mohammad Zeidan

Many organizations, driven by AI hype, launch initiatives before they've identified the business problem they're trying to solve. Mohammad Zeidan establishes how to separate AI hype from real business value by prioritizing outcomes, choosing the right use cases, and measuring success through business impact, not technical performance.

B.E.R.R.: A Practical AI Framework By Michelle Echevarria

Most L&D professionals are expected to use AI, but have no structured way to do it well. Michelle Echevarria presents B.E.R.R., a four-phase framework covering Brainstorm, Enhance, Refine, and Review that gives learning professionals a repeatable, practical approach to integrating AI into their everyday work.

Why AI Can't Solve The Biggest Problem In Workplace Learning By Uku Sööt

AI can help L&D produce more learning. It does much less to ensure that people use what they learn. Uku Sööt explores why learning transfer remains the biggest challenge in workplace learning and how managers, reinforcement, and behavioral awareness can help turn training into lasting performance improvement.

Teaching Workers To Distrust AI Safely: Low-Stakes Error Practice Before Production By Christopher Ross

A careful worker once stung by a tool often quietly stops reaching for it. Christopher Ross explains how to build safe-failure practice into AI training through plausible wrong answers that a skilled person would accept. The article also explores why they cost more to write than the right ones, and why the trades worker who writes off a tool after one miss is the failure most courses never plan for.

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 July. We'll highlight your standout pieces monthly in our Guest Post Showcase. If you'd like to be considered for our next list update, submit your article to build thought leadership and connect with our eLearning community.

Originally published on: June 17, 2026

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