TALAMANA · A WAY IN · EDUCATORS
Educators
Teach AI literacy through connected prerequisites, evidence, critique and responsible practice.
The questions this way in answers
- What must students understand before a particular AI topic?
- How do I assess judgment when a quiz is not enough?
- How do I thread ethics through technical and studio work?
Routes
- Concepts before tools — 3 ideas, about 8 minutes. Three ideas a class needs before any tool is opened.
- Evidence, crit and the limits of quizzes — 8 ideas, about 29 minutes. A teaching route from what AI is to how judgment is shown in crit.
- A complete path — 95 ideas, about 4 h 30.
Where it starts
- Judgment is the job — AI multiplies options faster than a designer can inspect them, so judgment is the job.
- Learned, not programmed — Nobody wrote this behaviour line by line, so there is no rulebook to read.
- Set the rubric before you generate — A rubric written in advance fixes the standard before the polish can lower it.
- Defending AI work in jury — You defend the chain of judgment, not the image.
- Hard ethics has more than one side — Careful thinking hears the strongest point on each side before deciding.
- Declaring AI in your submission — Declaring a use does not make a forbidden one allowed, so know this assignment's rule.
- Teach juniors the judgment — The teaching happens at the moment the senior leaves something to be decided alone.
- AI is not one thing — Chess engines, spam filters and chatbots are three different things with one name.
Open this on the map · The complete map · Logika · RBDS AI Lab, India.