Top 5 guest posts on AI, learning design, and more
In our March publication calendar, we explored frameworks, best practices, and caveats surrounding AI, learning design, and intelligence systems, from ethical authorship to custom inference layers to accessible adult learning. See what our guest authors have to say about these topics in our Guest Author Articles Showcase. In no particular order, these are our top picks in the eLearning industry.
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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.
Exploring AI, learning design, and healthy implementation practices
Ethical AI in Learning: Balancing Responsible Training Practices and Innovation Dr. Shafia Firoz
While AI offers new capabilities for content design and delivery, human facilitators remain the ethical anchor for setting the context and validating the output. Dr. Shafia Firoz examines how ethical authorship, transparency, and human oversight ensure trust as AI-generated content is increasingly incorporated into modern L&D.
What it actually means to build a learning system today by Branislava Milosavljevic
As basic platform capabilities become more accessible, a new competitive frontier will emerge to own the AI intelligence layer. Branislava Milosavljević explains why relying completely on a vendor’s AI means adopting the vendor’s hidden assumptions, and why forward-thinking teams are building custom inference layers instead.
The Missing Framework: A Methodology for Pedagogically Sound AI Integration in Learning Design by Neve McGregor
There are frameworks for teaching with AI, frameworks for teaching about AI, and frameworks for learning with AI. There is no systematic approach to using AI in the course development process itself. That’s where Neeve MacGregor comes in, combining 16 instructional design frameworks into one.
Maintaining control over generative AI in learning design by Daria Sur
Generative AI can accelerate learning design by summarizing the insights of subject matter experts and structuring content, but it can also yield inaccurate output. Daria Sur shares some practices beyond improving prompts that can help you keep your AI productive and under control.
What Adult AI Learners Really Want to Know (And Why Most Courses Are Wrong) by Arthur Turing
The market for accessible, non-technical AI education is almost completely ignored. The courses that exist are built by engineers, for engineers. Arthur Turing shows you what beginners really want to know and how to design AI education courses for non-technical adults.
Would you like to be featured in our next Guest Author Showcase?
Let’s give a virtual big round of applause to all the writers who shared their articles in March. 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.
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