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一、教學目標：
Course Description:
This course equips adult EFL learners with essential skills in prompt writing using large language models (LLMs) like ChatGPT. The focus is on leveraging AI to enhance learning in literature, linguistics, and everyday English use. Over 18 weeks, students will explore prompt engineering techniques to guide AI in analyzing literary texts, improving language skills, and supporting practical applications, such as career planning, daily life management, and creative writing. The course covers fundamental concepts of AI, question refinement, few-shot learning, and interactive prompts, enabling students to develop customized prompts for academic, professional, and personal contexts. Through a blend of online lectures and face-to-face workshops, students will gain hands-on experience in crafting sophisticated prompts for diverse tasks, making this course ideal for learners seeking to integrate AI into their language learning and broader daily activities.
Course Objectives:
1. Enable students to effectively design AI prompts to improve English learning, focusing on linguistics and literature.
2. Help students apply AI tools in their daily routines, such as work, leisure, and retirement planning.
3. Provide practical prompt-writing skills for diverse tasks, including academic, professional, and personal applications.
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二、符合系訂核心能力：
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具運用語言知識於職場專業或日常生活溝通情境的能力
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具閱讀賞析文學作品的能力
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具跨國文化溝通的能力
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具獲取外語相關證照的能力
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系訂核心能力與校訂核心能力對應表：
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| 校訂核心能力 |
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與時俱進的學習能力
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社會生活知能
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職場專業技能
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系訂核心能力
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具運用語言知識於職場專業或日常生活溝通情境的能力
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具閱讀賞析文學作品的能力
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具跨國文化溝通的能力
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具獲取外語相關證照的能力
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校訂核心能力
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與時俱進的學習能力
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社會生活知能
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職場專業技能
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系訂核心能力
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具運用語言知識於職場專業或日常生活溝通情境的能力
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具閱讀賞析文學作品的能力
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具跨國文化溝通的能力
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具獲取外語相關證照的能力
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三、課程選修條件：
對AI和語言與文學學習有興趣；基本電腦操作能力；建議先備語言能力達B1~B2以上可選修本課程，英文能力測試連結(進入網站後，請點選For School): https://www.cambridgeenglish.org/test-your-english/
四、授課（實施）方式：
網路大面授
五、網路教學進度：
| 第一週 | Introduction to Generative AI: Large Language Models |
| 第二週 | Prompts Fundamentals & The Question Refinement Pattern |
| 第三週 | The Question Refinement Pattern & the Ask for Output Pattern. |
| 第四週 | The Few-Shot Example Pattern & the Persona Pattern |
| 第五週 | The Audience Persona Pattern & the Template Pattern |
| 第六週 | The Cognitive Verifier Pattern & the Fact Check List pattern |
| 第七週 | The Menu Action Pattern & the Game Play Pattern |
| 第八週 | The Chains of Thought Pattern & the Alternative Approaches Pattern |
| 第九週 | The Meta Language Pattern & Comparing the Meta Language and the Menu Action Patterns |
| 第十週 | The Ouline Expansion Pattern & The Semantic Filter Pattern |
| 第十一週 | The Recipe Pattern & ReACT Prompting |
| 第十二週 | The Context Management Pattern & the Flipped Interaction Pattern |
| 第十三週 | The Simulation Pattern & the Bias Mitigation Pattern |
| 第十四週 | Style Transfer Pattern & the Constraint Satisfaction Pattern |
| 第十五週 | The Step-Back Pattern & the Recursive Improvement Pattern |
| 第十六週 | The Multimodal Integration Pattern & the Johari Window Pattern |
| 第十七週 | Personalized AI Applications |
| 第十八週 | Course Review and AI Applications Beyond the Classroom |
六、面授內容綱要：
| 第一次 | Introduction to AI for language learning and literature (group discussions and prompt-writing exerc |
| 第二次 | In-class online test of prompt task |
| 第三次 | Advanced workshop: Designing AI-based interactive exercises for personal and professional applicatio |
| 第四次 | Course review and reflection |
七、成績評量方式：
八、授課教材／教科書：
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Custom lecture slides and materials on prompt engineering.
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九、參考書目：
Books:
Christian, B. (2020). The alignment problem: Machine learning and human values. W. W. Norton & Company.
Hanson, R. (2016). The age of Em: Work, love, and life when robots rule the Earth. Oxford University Press.
Lee, K.-F., & Qiufan, C. (2021). AI 2041: Ten visions for our future. Currency.
Russell, S. (2019). Human compatible: Artificial intelligence and the problem of control. Viking.
Articles:
Levine, D. K. (2020, October 29). GPT-3: An AI revolution or just another step? MIT Technology Review. https://www.technologyreview.com
Metz, C. (2021, November 24). What are large language models? A beginner’s guide. The New York Times. https://www.nytimes.com
Miller, H. (2021, May 18). The rise of large language models: Implications for society and learning. The Atlantic. https://www.theatlantic.com
Siegel, E. (2019, September 27). Understanding AI and machine learning: A primer. Harvard Business Review. https://hbr.org
Books:
賴以威 (Li, I.-W.). (2022). AI時代的語言學習：如何利用人工智慧提升英語能力 [Language learning in the age of AI: How to use artificial intelligence to improve English skills]. 遠流出版社。
鄭毓瑜 (Zheng, Y.-Y.). (2019). 現代語言學導論 [Introduction to modern linguistics]. 五南圖書出版公司。
林欣宜 (Lin, H.-Y.). (2020). 語言與文學的對話：跨學科視角的文學解讀 [Dialogue between language and literature: Interdisciplinary perspectives on literary interpretation]. 書林出版有限公司。
Articles:
蔡雅玟 (Tsai, Y.-W.). (2021). 人工智慧與語言學習的未來發展 [The future development of artificial intelligence and language learning]. 外語教學研究, 23(3), 45-60。
王建宇 (Wang, J.-Y.). (2020). 大型語言模型在語言學習中的應用與挑戰 [The application and challenges of large language models in language learning]. 數位學習期刊, 14(2), 102-118。
楊孟珠 (Yang, M.-J.). (2022). AI時代的文學教育：人工智慧如何影響文學教學與閱讀 [Literature education in the age of AI: How artificial intelligence impacts teaching and reading literature]. 臺灣文學評論, 15(4), 25-38。
十、數位資源/電子書：
十一、上課日期：
2025/03/08
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2025/04/12
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2025/05/03
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2025/06/07
十二、上課時間：
星期六10:20~12:00
**請遵守智慧財產權觀念、不得非法影印**
更新日期：2025/5/1 下午 03:43:43
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