隨著人工智慧的快速發展，與人工智慧互動交流及掌握提示工程作為基本能力已成為現今重要課題。然而，人工智慧提示工程能力是一項需要學習的技能，但現今與其相關的教育主題文獻和教學應用少之又少，而採用情境教學法於提示工程教學，可以策略性地促進教學溝通和互動，且更好地實現學習目標，因此本研究欲深入探討。另外，在這科技迅速變化的時代，學生須培養人工智慧素養，並提升人工智慧準備度，負責任地、道德地、批判性地和創造性地使用人工智慧，使其成為能讓社會成長的工具，才能在就業市場上保持競爭力和效率。
因此，本研究以ChatGPT之使用為例，藉由線上實驗問卷作為調查工具，以學習動機、提示工程能力、人工智慧素養以及人工智慧準備度作為衡量子構面，建立了研究模型架構，並以有無運用情境教學法於分組教學過程作為實驗操弄變項，分別進行提示工程能力分組教學工作與能力前後測之實驗，而受試對象為使用過ChatGPT但未利用其進行過品牌市場分析比較的大專及以上學生。藉此探討運用情境教學法是否可以提高學生於提示工程能力教學的學習動機，以增進學習者提示工程能力之培養，且是否進而影響學習者的人工智慧素養與人工智慧準備度。
本研究共回收了240份有效問卷，並以結構方程模式及獨立t檢定進行資料分析。根據研究結果顯示，情境教學法相較於傳統教學法，確實有助於提高學生於提示工程能力教學的學習動機，幫助增進提示工程能力的培養，使學生對人工智慧進行批判性的思考與評估，並接受和使用人工智慧來實現目標，進而提升人工智慧素養與人工智慧準備度。最後，本研究也提出了學術與實務上的貢獻，補足過往文獻缺口，並提出了未來研究方向建議，以供後續研究者參考。

With the rapid advancement of artificial intelligence (AI), interacting with AI and mastering AI prompt engineering ability have become critical issues. However, there is a lack of literature and applications regarding the use of situational teaching method in AI prompt engineering education. In addition, students in the contemporary era are required to cultivate their AI literacy and AI readiness to effectively utilize AI. Therefore, this study takes the use of ChatGPT as an example, conducting an online experiment and questionnaire survey among university students and above who have used ChatGPT but have not utilized it for brand market analysis and comparisons. The aim is to explore the impact of situational teaching method on AI prompt engineering ability, AI literacy, and AI readiness.
A total of 240 valid questionnaires were collected, and data analysis was conducted using structural equation model and independent t-test. The results indicate that situational teaching method significantly improve students' learning motivation for AI prompt engineering instruction, also enhance AI prompt engineering ability, thereby increasing AI literacy and AI readiness. This enables students to critically evaluate AI, also accept and use it to achieve their goals. This study addresses gaps in prior literature and proposes directions for future research, thereby contributing to both academic and practical fields.

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