A learner recovering from a wrong AI answer
Ask, receive an answer, notice uncertainty, correct it, and hand off to a person
Thinking experienceSocial experienceAction experience
COLLEGE APPLICATION RESEARCH EVIDENCE · 중등
Trustworthy AI Failure ExplanationAI 실패 설명 사람과 프로그램이 소통하는 화면
Visible limits, checking, correction, and safe handoff
The course was designed from open research published by Stanford and MIT. Students learn how university researchers turn a question about easy, safe technology into a fair comparison. They preserve the question, two designs, task results, revision, and limits so their own thinking is visible in a later college application.
Research questionStudent A/B testEvidence and limitsOwn contribution
The system gives no useful next step when the AI is wrong or does not know.
Target experienceVisible limits, checking, correction, and safe handoff
Turn a need into a clear system promise
- Name the user and context, then map the full experience.
- Choose one design variable and a clear test rule.
- Let the user change settings or turn off an unwanted feature.
One variable, two versions
- Prototype A: show the information and action directly.
- Prototype B: test a different sense, order, or feedback style.
Check it with the same real task
Give both versions the same safe task. Compare success, time or errors, and a short user rating.
Use numbers and user comments
- At least one action measure
- Anonymous design or experience rating
- Accessibility check and an open comment
AB
The chart values are synthetic examples for this course page, not student results.
Use the evidence to improve once
Change one feature supported by both the numbers and user comments. Record the before-and-after result and one limit.
A good score is not the whole experience
Do not guess or manipulate a person's inner state. Use minimal data, clear choices, and an opt-out.
The user keeps final control.
clarifycorrectoverrideopt-outdelete
When the model lacks context or confidence, it should pause and ask the user.
Experience map, requirements, Prototype A/B, test chart, and before-and-after case study
FigmaStatic web
Limit: A small class pilot is early evidence. Record how people and contexts differ, then name the next question to test.
Course consultation
Turn a student's interest
into an experience project.
We can match the grade, coding experience, and topic to paper, Figma, Scratch, web, Python, or robotics.