AHALab · MMCOOLToday, we and our classmates start from problems in daily life, talk about interests, talk about AI, and also discuss how an idea can become something that others can try.
This is not a class that gives you all the answers, but a workshop to speak out your ideas, let others hear them, and then decide whether to continue.
Students shared many troubles they personally encountered, things they couldn’t figure out, and things they wanted to try. We first record their original words without rushing to translate them into "standard projects."
Behind the same statement "I want to make a game," there could be a desire to design rules, tell stories, solve operational problems, or just make friends happy.
We discuss what AI can help with, what it cannot decide for anyone, and how to check its outputs. Students start changing from "Can it do it?" to "How do I want it to operate?"
Turn a vague interest into a question you are willing to look at again.
Let teammates try, ask questions, and retell. Collaboration starts with accurate listening, not assigning titles.
A work can start because it is fun, and then slowly ask: Who will use it? What will it change? Who else has not been considered?
Warm-up games let everyone judge whether pictures and videos are from real shots, generated, or a combination of both. The focus is not on how many are guessed correctly but on stating the basis and knowing what to check next.
Details in a picture can raise suspicion, but they cannot replace sources. Work descriptions, shooting records, production processes, and reliable sources are better evidence.
Students can enter from any step and also return at the next step. AI is a tool; the person who decides the direction is still the one who asks questions, observes results, and is willing to make changes.
Courses will gradually be organized into open materials that can be reused, adapted, and further questioned. The public version only retains course methods, verified materials, and anonymized classroom observations.
Complete two-day course design, teacher prompts, and student task cards.
Find 1–3 real questions you truly want to explore from life and study, and return after two weeks with evidence and ideas to share.
LAN version of the AI-or-human game and source list, suitable for classroom use.
Course webpages, interactive prototypes, and reusable code will continue to be organized on AHALabAI/open-course.