鏡頭下的故事:AI編導工作坊

Cheng Kang MIao

講者/Speaker: 鄭伉妙, Cheng Kang MIao

「鏡頭下的故事:AI編導工作坊」教學應用,旨在解決高中美術班學生面對AI生成技術時產生的「科技焦慮」與「技術挫折」,並引導學生建立批判性且富有成效的人機協作模式。本教學應用核心設計創新點:1.具象化人機協作軌跡:客製化「AI編導工作坊」介面,透過文字顏色追蹤(黑色為學生、藍色為AI建議)與協作比例數據化分析,打破生成黑箱,使學生隨時審視主控權歸屬。2.重塑人機關係:將學生從單向「下指令的老闆」轉變為必須溝通、修正與妥協的「談判者」,並刻意利用AI的不確定性(如畫面不符預期)融入社會情緒學習(SEL),將AI視為一匹「難以馴服的野馬」,藉此鍛鍊學生在挫折中的耐心與解題韌性。
量化數據顯示,學生對「藝術家是否會被AI取代」的恐懼顯著降低。課程成功避免學生盲目依賴,並觀察到決策上的「兩極化」現象(深度依賴與奪回主控權),證明學生具備批判性評估AI產出的能力。質化回饋則確立了人類無可取代的創作主體性(體認到AI無法處理細膩情感)。最終,絕大多數學生確認自己是「最終決定故事結局者」,成功落實了資訊倫理與負責任的決策。

 


This study examines the pedagogical application of the "Stories Under the Lens: AI Directing and Scriptwriting Workshop," designed to alleviate technological anxiety and frustration among high school art students while fostering a critical, productive human-AI collaboration. The curriculum introduces two core innovations. First, it visualizes collaboration trajectories through a customized interface that color-codes text contributions and quantifies interaction ratios, thereby demystifying the generative "black box" and enabling students to monitor creative authorship. Second, it reshapes the human-AI dynamic by shifting students from commanding positions to negotiators. By leveraging AI’s inherent unpredictability and integrating Social-Emotional Learning (SEL), the curriculum frames AI as an "untamed mustang" to cultivate resilience and patience through creative setbacks.

Quantitative data revealed a significant reduction in students’ fear of being replaced by AI and successfully prevented blind reliance on technology. A distinct polarization in decision-making—ranging from deep reliance to the active reclamation of control—demonstrated students’ capacity for critical evaluation. Furthermore, qualitative feedback underscored the irreplaceable subjectivity of human creativity, noting AI's incapacity for handling nuanced emotions. Ultimately, the vast majority of students reaffirmed their agency as the final decision-makers of their narratives, successfully demonstrating information ethics and responsible decision-making in the AI era.