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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 | 1. What are Large Language Models (LLMs)? 2. Key Components of AI in Language Learning |
| 第二週 | 3. Basics of Prompt Design 4. Predictive Text Models and Prompt Structure |
| 第三週 | 5. The Question Refinement Pattern 6. Refining Prompts for Text Analysis in Literature |
| 第四週 | 7. Few-Shot Learning and Examples in Prompt Engineering8Cognitive Verifier Pattern for Complex Tasks |
| 第五週 | 9. Creating Prompts for Vocabulary Acquisition 10. Designing Grammar-Focused Prompts |
| 第六週 | 11. Analyzing Literature Using AI Prompts 12. Critical Thinking Through Literary Prompts |
| 第七週 | 13. Creating Prompts for Linguistic Analysis 14. Combining Linguistic and Literary Prompts |
| 第八週 | 15. Using AI to Analyze Literary and Cultural Texts 16. Prompt Tuning for Summarizing Texts |
| 第九週 | 17. Game Play Patterns in Language Learning 18. Interactive AI Exercises for Language Learning |
| 第十週 | 19. AI-Assisted Creative Writing 20. Storytelling Through Prompts |
| 第十一週 | 21. Critical Thinking Prompts for Literature 22. Prompts for Comparing Texts Across Cultures |
| 第十二週 | 23. Ask for Input Pattern for Conversational Learning 24. Designing Interactive Literary Discussions |
| 第十三週 | 25. Designing Prompts for Academic Summaries 26. Using AI for Complex Text Analysis |
| 第十四週 | 27. Personalized Prompts for Professional Tasks 28. Creative Prompts for Personal Hobbies |
| 第十五週 | 29. Using AI for Personal Planning (Work, Retirement) 30. Managing Daily Routines with AI Prompts |
| 第十六週 | Combining 31Multiple Prompt Patterns for Complex Tasks3Applying AI for Problem Solving in Daily Life |
| 第十七週 | 33. AI for Career and Professional Development 34. AI for Leisure and Retirement Planning |
| 第十八週 | 35. Review of Key Skills in AI Prompt Writing 36. Future of AI and Prompt Writing |
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 | Hands-on workshop: Creating prompts for literature analysis (peer review and practice). |
| 第三次 | Advanced workshop: Designing AI-based interactive exercises for personal and professional applicatio |
| 第四次 | Final project presentations and collaborative prompt engineering. |
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：2024/10/16 上午 09:23:19
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