紅綠燈判斷 Traffic Light Judge
閱讀情境,先判斷紅/黃/綠燈,再選出最準確的解釋。15 個情境,學會在真實情況下分辨應否使用 AI。 Read scenarios, decide Red / Yellow / Green, then pick the most accurate reasoning. 15 cases to train real-world judgement.
4 個互動小遊戲,覆蓋紅綠燈框架、學術誠信、私隱保護同情境判斷。完成全部解鎖學習證書。 4 interactive mini-games covering the Traffic Light framework, academic integrity, privacy, and scenario judgement. Complete them all to unlock your learning certificate.
閱讀情境,先判斷紅/黃/綠燈,再選出最準確的解釋。15 個情境,學會在真實情況下分辨應否使用 AI。 Read scenarios, decide Red / Yellow / Green, then pick the most accurate reasoning. 15 cases to train real-world judgement.
將不同的 AI 使用情境放入「允許 / 須註明 / 禁止」三個分類,考驗你對指引的整體掌握。 Sort AI use cases into "Allowed / Cite Required / Prohibited". Tests your overall command of the guidelines.
翻 12 張卡學習核心概念(學術誠信、AI 幻覺、私隱、同意、知識產權等),再透過 6 條配對題確認理解。 Flip 12 cards to learn core concepts (academic integrity, AI hallucination, privacy, consent, IP, etc.), then confirm understanding via a 6-question quiz.
當兩個指引原則互相衝突時——例如同學想使用你的資料 vs 私隱保護——何者更為重要? When two principles conflict—e.g., classmate wants your data vs privacy—which prevails?
建議按順序完成:紅綠燈判斷 → 用途分類 → 概念卡學習 → 原則對決。每個遊戲覆蓋指引的不同層次,由情境判斷到原則應用層層遞進。完成全部即解鎖學習證書。 Suggested order: Traffic Light Judge → Use-case Sort → Concept Flashcards → Principle Duel. Each game covers a different layer of the guidelines, building from scenarios to principle application. Complete all four to unlock your learning certificate.