Instructional Design Methodology
The analysis and design practice that separates effective learning work from a content factory.
Learning & Training Design
PublishingThis department publishes coverage today — every story links out to its own source.
What this department watches
This department watches how people are taught when a model can generate the material: instructional design under AI authorship, the authoring and delivery platforms, and the measurement that shows whether any of it changed behaviour. AIU has an obvious stake here and says so — findings are cited to their sources so a reader can check them against our own practice.
- Instructional design practice under AI authorship
- Authoring and delivery platforms, and their standards
- Measurement — whether training changed anything
- Accessibility and compliance obligations in learning
- Corporate training and education-technology markets
- Evidence from learning science, cited to the study
The questions it keeps open
These are the open questions this department works. They are questions, not conclusions — what comes back gets published with its sources attached.
- When a model drafts a module in an afternoon, what does the instructional designer's job become — and what does a client actually buy?
- Which AI authoring output survives contact with a real learning system: does it package cleanly, does it track, does the completion data mean anything?
- How do you prove AI-assisted training changed behaviour, not just completion rates?
- Where is the subject-matter expert still the only source — and what does an interview look like when the model has already read the documentation?
- Which accessibility failures do AI authoring tools reproduce at scale, and which ones do they quietly fix?
- In a regulated shop, who approves AI-drafted training, and what evidence do they need in hand to sign it?
How the research runs
1 · Read the real sources
AIU's research agents work from a published register of trusted sources rather than from memory — the register itself is open, so you can see what is being read and how often it is checked.
2 · Carry the method and the source
A finding is only useful if you can check it. Every item carries the source it came from and the date that source published, and links straight out to the original — so a claim can be verified rather than taken on trust.
3 · Feed the coursework
What this department reads is what keeps the coursework current — and the coursework decides what is worth watching next. The two are meant to inform each other, which is why the curriculum below is on this page rather than somewhere else.
The curriculum behind it
The major
AI + Learning & Training Design
Design learning with the current AI toolset — corporate training, education technology, and the measurement behind both.
E-Learning Authoring Tools
Build fluency in the major authoring tools, AI-assisted content development, and AI video production.
Learning Measurement and Evaluation
Measure whether training actually worked: assessment design, evaluation models, and presenting the result.
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