課程資訊
課程名稱
工程學術英文寫作與口頭報告
Academic Writing and Presentation in Engineering Studies 
開課學期
113-1 
授課對象
寫作教學中心  
授課教師
李維晏 
課號
Write7009 
課程識別碼
Q01 M0320 
班次
01 
學分
3.0 
全/半年
半年 
必/選修
選修 
上課時間
星期二7,8,9(14:20~17:20) 
上課地點
博雅312 
備註
本課程中文授課,使用英文教科書。
限碩士班以上 或 限工學院學生(含輔系、雙修生) 或 限電資學院學生(含輔系、雙修生)
總人數上限:17人 
 
課程簡介影片
 
核心能力關聯
本課程尚未建立核心能力關連
課程大綱
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課程概述

學習如何閱讀英文期刊文章、透過分析已出版之工科期刊文章,學習撰寫文步及慣用英文寫作表現、練習如何在三分鐘口頭報告裡有效地傳達研究之重點、特色與成果。
本課程將增加AI工具介紹與應用,協助同學加強閱讀的速度與寫作表現 。 

課程目標
此類課程使用本中心研究團隊所研發的教材,內容著重在分析整理一般學術論文寫作的文步與寫作特性。此課程將幫助同學:
1. 辨識學術寫作的特點,並應用其知識將觀點組織成具邏輯和連貫性的文本
2. 熟悉撰寫研究論文的步驟和流程
3. 培養校對和自我編輯的技能
4. 有效地書面和口頭展示自己的研究
5. 熟悉並應用各種AI工具以提升閱讀與寫作質量

 
課程要求
1. Students are required to attend all classes. No more than three excused absences are permitted. One free absence is allowed, and each additional
absence will result in a 3-point deduction.
2. Active participation in class discussions is required.
3. Writing assignments are carefully scheduled as stages toward the fulfillment of the course’s objectives. Late assignments will not be accepted. 
預期每週課後學習時數
1-4 hours 
Office Hours
另約時間 備註: Please make an appointment via COOL 
指定閱讀
• Swales, J. M., & Feak, C. B. (2012). Academic Writing for Graduate Students (3rd ed.). Ann Arbor: University of Michigan Press.
• Gillett, A., Hammond, A., & Martala, M. (2009). Inside Track: Successful Academic Writing. Person Education Limited.
• Hamp-Lyons, L., & Heasley, E. (2006). Study Writing. Cambridge University Press.
• Powell, Mark. (2002). Presenting in English: How to Give Successful Presentations. Boston, MA: Thomson-Heinle.
• Weissberg, R., & Buker, S. (1990). Writing Up Research. London: Prentice Hall.
 
參考書目
(1) Selected journal papers
(2) In-class supplementary teacher-made materials 
評量方式
(僅供參考)
 
No.
項目
百分比
說明
1. 
Assignment 
50% 
Writing Assignments: Three main types of writing assignments will be given in this course: one paragraph (~300 words) and two essays (400~500 words each). The writing assignments will be related to academic writing skills and structures, such as summary, critique, data commentary and SPSE. In one essay assignment, students will be encouraged to integrate the use of SciSpace to enhance their reading and writing performance, while in the other, AI tools will be applied to facilitate the readability of the written work and the visibility of virtual abstracts. Paper Analysis: Students will do moves & steps analysis of research papers in their discipline and compare their findings with students from different disciplines.  
2. 
Learning Evaluation Tasks 
15% 
Task1: Identifying Features of Academic Writing (40 points) Task 2: Writing Introduction Section (60 points): A topic, a diagram, and a move-and-step flowchart will be provided. Students are required to write a short introduction that includes all the necessary moves and steps, along with side notes of the prompts used and revision commentary. AI tools can be utilized for literature browsing, reading and post-writing editing. 
3. 
3-minute thesis presentation video 
15% 
Students will create a presentation video of their own research.  
4. 
Participation & Attendance 
20% 
Based on students’ participation in class discussions, activities, and COOL, and their attendance. 
 
針對學生困難提供學生調整方式
 
上課形式
作業繳交方式
學生與授課老師協議改以其他形式呈現
考試形式
書面(口頭)報告取代考試
其他
由師生雙方議定
課程進度
週次
日期
單元主題
第1週
  Course Overview + Pre-tests 
第2週
  [U1] An approach to Academic writing 
第3週
  [U2] Writing General to Specific Texts 
第4週
  Writing Introduction
3MT Presentation introduction
Task 1: Identifying Features of Academic Writing 
第5週
  Writing Introduction
Presentation I: key factors
Paper Analysis- Introduction 
第6週
  Literature Review: Read Fast and Critically
AI Session 1: SciSpace—What, Why, and How
HW1: SPSE (Literature Review outlining & drafting) 
第7週
  [U3] Problem, Process, and Solution
AI Session 2: SciSpace—Drill & Application
SPSE (Essay writing) 
第8週
  SPSE Peer Review + Writing Methods
AI Session 3: ChatGPT 4o—Prompts, Self-editing, and Revision Commentary
SPSE (Peer reviewing & Self-editing) 
第9週
  [U4] Data Commentary
Paper Analysis- Methods 
第10週
  AI Session 4: Data Readability
Presentation II: skills & practice 
第11週
  Writing Results
Paper Analysis- Results
3MT Presentation 1 (on-site or online)
HW2: Data Commentary (Essay writing) 
第12週
  Writing Discussion & Conclusion
Paper Analysis- Discussion & Conclusion
3MT Presentation 2 (on-site or online) 
第13週
  Writing Abstract
3MT Presentation 3 (on-site or online)
HW3: Abstract (Paragraph writing) & Virtual Abstract Creating 
第14週
  3MT Presentations 4 & 5 (on-site or online) 
第15週
  Review & Introduction Section Writing Practice
3MT Presentation 5 (on-site or online) 
第16週
  Final
Task 2: Writing Introduction Section