Methods · Support & cognitive load
A10
Jargon translation
Build a personal glossary where every technical term is stated in your own words, then checked against what the field actually means, so vocabulary stops being a fog you nod through.
When to use it
- You are meeting this idea for the first time and need a way in.
- The reading feels dense and you want a first map before the details.
What to ask AI
Type something like: “Here is a term and my definition in my own words. Do NOT give me a model”.
Ask it to generate material for you to attempt, problems, cues, or a schedule, not finished answers.
Ask it to check after you commit, and to flag what it is least sure about.
Keep the hard part on your side: you retrieve, attempt, explain, or decide before you ask for help.
How it helps
In every dense subject there is a moment where the sentence is made of words you technically recognise and still means nothing.
The usual response is to keep reading and hope context will soak in.
Often you build a private, slightly wrong meaning and carry it for months.
Unchecked private definitions are. The method is to make those private definitions explicit, then pressure-test them against the field's usage, not to replace technical language with baby talk and live there.
AI accelerates the loop: draft in your words → compare to a careful field definition → revise → lock the entry.
A glossary you built this way is worth more than a downloaded one, because the errors it caught were yours.
How to run it
- Next: harvest terms from the chapter or lecture, eight to twelve for a sitting, not fifty.
- Next: define each in your words before looking anything up. Wrong is fine; blank is not.
- Ask the AI to compare, not to redefine for you first.
- Next: revise your wording until the field check is "aligned" or you know the exact remaining gap.
- Generate your own example. Recognition of theirs is not ownership.
- Next: revisit under retrieval: cover the definitions, produce them from the term list alone (Works well alongside Free recall / Cloze deletion).
Example exchange
Term: "oxidative phosphorylation." My definition: it's how mitochondria make ATP using oxygen somehow. Don't give me the textbook wording yet, tell me what's wrong or missing.
You named the place and the product. What's missing is the role of the electron transport chain, can you say what "oxidative" is doing in that phrase?
Oxidative means electrons are moved and oxygen is the final acceptor… and that movement drives ATP synthase?
That's closer. One probe: what would fail first if oxygen weren't available?
Copyable prompt
Here is a term and my definition in my own words. Do NOT give me a model
definition yet. Tell me: (1) what I got right, (2) what a reader in this field
would find wrong or missing, (3) one probing question that would expose the gap.
Term: [ ]
My definition: [ ]The Tell
Here is how you know this method has flipped: you can use the term in a sentence that sounds right and cannot give a contrasting case the term excludes.
In that moment the AI (or the schedule, or the story) did the thinking, and you only recognised a finished product.
Tighten the prompt for jargon translation so you attempt, decide, or retrieve before anything is handed to you.
Principle evidence
Strength of the underlying learning idea, not a claim about AI products.
The underlying learning idea is rated moderate. Vocabulary and academic language as gatekeepers to comprehension are well established in reading/Predecessor comparison research; learner restatement in own words overlaps explaining the idea in your own words and concept-definition work. Glossary-building as a standalone retention method is thinner than retrieval practice. Principle moderate; AI glossary accuracy speculative.
AI delivery evidence
Whether an AI tutor delivers this method well is a separate question.
The learning principle may be moderate, but that does not prove an AI session delivers it well. Treat AI delivery as speculative unless a study of tutoring with this method is named, and none is claimed here.