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Helpful ideas. Squeaky value.
Helpful ideas. Squeaky value.
The theory behind good instruction — how people learn, what makes training actually work, and the thinking behind course decisions.
Learners don't remember everything you put in a course. They remember what their brains had room to process. Here's a quick look at cognitive load and three ways to design around it.
Kids jump right in and figure things out. Adults hold back, afraid to get it wrong. Here's how to design e-learning that gets adult learners past that hesitation and actually engaged.
Learners can spot a bad course fast: no relevance, no point, no polish. Here are three habits that guarantee yours misses the mark, and what to do instead.
Making content interactive isn't the same as teaching people to make good decisions. Here's why so many e-learning courses stop short of the real work, and what it actually takes to build decision-making practice into your training.
Three structured approaches that move learners from information to applied skill A lot of online courses are still mostly linear. That’s fine for annual compliance content with no real performance objective attached. But if you want real behavior change, you…
Skip the click-and-read information dump. Turn your content into a case study and build an e-learning course people actually remember.
You can't force anyone to learn. But you can design a course that gives learners a real reason to try. Here's how to build motivation into your course from the start — before they ever click next.
You've taken the course. You know the one. Three hours, a lot of slides, a quiz at the end, and nothing that changed how you do your job. Bad e-learning isn't new, and it's not caused by the tools designers use. This post gets into what actually drives it — and where AI fits into that honestly.
Leslie Robinson's comedy video about mandatory training went viral for a reason. The comment section turned into a catalog of every broken e-learning pattern. It's worth reading as a design checklist.
Your learners' brains have a built-in limit on how much they can process at once. When you design without that in mind, the course feels hard in the wrong way. Here's what cognitive load is and why it matters for the courses you build.
You can build a technically solid course and still miss the mark completely. It happens when you design based on what you think learners need instead of what they actually face. Here are eight things to watch for before you start building.
Good course design isn't about adding more. It's about removing the stuff that gets in the way of learning. Here are a few practical things to keep in mind when cognitive load is working against your learners.
Good content isn't enough to keep learners engaged. This post breaks down why motivation drops and gives you five practical ways to build it back in, plus a clear look at where AI fits into the process.
A lot of e-learning looks like training but doesn't work like training. If you want people to actually do something differently after the course, you have to build for that from the start. Here's how.
AI can do a lot of things faster than you can. That doesn't mean the results are always worth using. Here's an honest look at where AI actually helps in e-learning development — and where it creates the illusion of progress without the substance to back it up.
