AI協作下的科學論證學習～以太陽能議題為情境的互動學習設計
講者/Speaker： 何莉芳, Li Fang Ho
本教學設計主題為「AI協作下的科學論證學習～以太陽能議題為情境的互動學習設計」，主要想分享我身為現場理化老師，如何跟 AI 合作設計出一套引導框架，讓學生在學校有限的 AI 工具環境下，也能進行很有感的能源議題討論，進而解決學生缺乏論證結構、或是課堂上容易流於 AI 代筆的痛點。本教案的核心 AI 應用如下：
教師端（AI協作開發教學模擬器）： 教師利用 Google Gemini 協作編寫 HTML 程式碼，自己開發出互動模擬器。主要的目的是用來輔助課堂教學，讓學生在動態操作中自主發現情境，並引導他們注意到現實中的兩難困境（像是電力需求與環境保護之間的真實衝突）。
學生端（搭配因材網的雙層次 AI 輔助框架）： 考慮到學生在教室使用討論型 AI 的限制，教師透過 AI 協作，為學生量身打造了一套搭配「教育部因材網 e 度」的兩層次輔助框架：
第一層次（CER 基礎練習工具）： 引導學生進行「主張-證據-推理」的初步練習。學生在工具裡寫好之後，可以直接複製貼上到因材網 e 度，建立起清晰的論證結構。
第二層次（有條件論證與邏輯評估工具）： 學生可以換成不同的角色立場，進一步練習「有條件的支持或反對」。這時候，AI 的任務是扮演邏輯評估者，去檢查學生有沒有寫清楚「在什麼條件下支持、什麼條件下反對」，幫學生的思考邏輯進行把關。
本教案目前已經完成互動工具開發與教學流程設計，正處於課堂實作前的收斂階段。雖然還沒有進行大規模的學生測試，但在初步的模擬運行中，我們已經看見 AI 在引導邏輯思辨上的高度潛力。
This instructional design, titled "AI-Assisted Scientific Argumentation: Interactive Learning Design Using Solar Energy Issues as Context," shares how a science teacher can work with AI to design a clear guidance framework. It helps students engage in meaningful learning about real-world issues even with limited AI tools, while solving common classroom pain points such as a lack of argumentation structure and reliance on AI ghostwriting. The core AI applications in this lesson plan are as follows:
Teacher's Side (AI-Assisted Development of Instructional Simulators): The teacher worked with Google Gemini to write HTML code and develop interactive simulators. The main purpose is to support classroom teaching, letting students discover scenarios through hands-on operation and guiding them to notice real dilemmas, like the conflict between electricity demands and environmental protection.
Student's Side (Dual-Layer AI Support Framework Paired with e-Do): To handle the limitations of student access to open conversational AI in the classroom, the teacher used AI to create a dual-layer support framework paired with the Ministry of Education's "e-Do" platform:
First Layer (CER Basic Practice Tool): This tool guides students through preliminary practice of the "Claim-Evidence-Reasoning" structure. Once completed here, students can directly copy and paste their work into e-Do to practice building a clear argumentation structure.
Second Layer (Conditional Argumentation and Logic Evaluation Tool): Students can choose different role perspectives to practice making statements of "conditional support or opposition". At this stage, the AI acts as a logic evaluator, checking whether students clearly explain under what conditions they support or oppose the issue, thereby helping safeguard students' reasoning logic.
Although this lesson plan has completed tool development and procedure design and is currently in the final refinement stage before classroom implementation, pilot runs have already shown the great potential of AI in guiding logical thinking.
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