(教師教學研習)(高教深耕)手把手教你破解AI與人類寫作之謎(113年度微型暨深碗課程「教」與「學」創新工作坊)
發佈日期：2024/12/2 上午 11:53:39
我要報名
活動開始：
2024-12-12 12:00
活動結束：
2024-12-12 13:29
活動地點：
張靜愚紀念圖書館103室_普仁小集
主辦單位：
教務處學生學習發展中心
公告單位：
承辦：教務處學生學習發展中心
聯絡資訊：
郭俊琨 03-2652057
活動摘要：
生成式 AI 正改變教育的評量模式，學生的作業到底是「親手創作」還是「AI 助攻」？這場講座將由 Dr. Maiga Chang 主講，分享最新的作者身份鑑識技術，幫助教師快速分辨 AI 與人類撰寫的文本，並介紹一款實用的開放式網頁工具。活動提供午餐，並計入教師專業成長研習時數 1 小時，誠摯邀請全校教職員生參加，共同迎接生成式 AI 的挑戰！
Generative AI is transforming how assignments are evaluated—are students submitting original work or AI-generated content? In this lecture, Dr. Maiga Chang will share the latest authorship attribution techniques to help educators quickly distinguish between AI- and human-written texts. He will also introduce a practical open-access web application. Lunch will be provided, and participants will earn 1-hour professional development credit. We warmly invite all faculty, staff, and students to join us in addressing the challenges posed by generative AI!
Generative AI is transforming how assignments are evaluated—are students submitting original work or AI-generated content? In this lecture, Dr. Maiga Chang will share the latest authorship attribution techniques to help educators quickly distinguish between AI- and human-written texts. He will also introduce a practical open-access web application. Lunch will be provided, and participants will earn 1-hour professional development credit. We warmly invite all faculty, staff, and students to join us in addressing the challenges posed by generative AI!
隨著生成式 AI（如 ChatGPT）的普及，教育者面臨越來越多的挑戰，特別是在學生是否利用 AI 協助完成作業的辨識上。本場講座將邀請專家 Dr. Maiga Chang，深入解析如何運用統計自然語言處理 (SNLP) 與卷積神經網絡 (CNN) 技術，開發出準確且高效的 3 階段作者身份鑑識方法。
Dr. Chang 將詳細分享：
研究成果：2-class 與 3-class 模型如何快速判斷文本來源。
實用工具：介紹一款開放式網頁應用程式，協助教師即時辨別 AI 與人類文本，提升教學評量的公平性與準確性。
本活動提供免費午餐，參與者將獲得教師專業成長研習時數 1 小時。
活動資訊：
日期與時間： 2024 年 12 月 12 日（星期四）12:00~13:30
地點：普仁小集（張靜愚紀念圖書館103室）
參加對象： 全校教職員生
誠摯邀請您撥冗參加，共同探索 AI 技術如何助力教學創新，讓我們攜手迎接未來教育的新挑戰！
With the rise of generative AI (e.g., ChatGPT), educators face increasing challenges, especially in distinguishing whether students’ assignments are original or AI-assisted. This lecture, led by Dr. Maiga Chang, will dive into how Statistical Natural Language Processing (SNLP) and Convolutional Neural Networks (CNN) can enable accurate and efficient 3-stage authorship attribution.
Dr. Chang will cover:
Research Insights: How 2-class and 3-class models quickly identify text sources.
Practical Tools: An introduction to an open-access web application that helps educators instantly identify AI- and human-written texts, improving fairness and precision in evaluations.
Additionally, this event includes free lunch, and participants will receive 1-hour professional development credit.
Event Information:
Date and Time: December 12, 2024 (Thursday) 12:00–13:30
Venue: (Puren Small Collection (Room 103, Zhang Jingyu Memorial Library))
Audience: All faculty, staff, and students
We warmly invite you to join this insightful session, explore how AI can empower teaching innovation, and tackle the challenges of future education together!
Dr. Chang 將詳細分享：
研究成果：2-class 與 3-class 模型如何快速判斷文本來源。
實用工具：介紹一款開放式網頁應用程式，協助教師即時辨別 AI 與人類文本，提升教學評量的公平性與準確性。
本活動提供免費午餐，參與者將獲得教師專業成長研習時數 1 小時。
活動資訊：
日期與時間： 2024 年 12 月 12 日（星期四）12:00~13:30
地點：普仁小集（張靜愚紀念圖書館103室）
參加對象： 全校教職員生
誠摯邀請您撥冗參加，共同探索 AI 技術如何助力教學創新，讓我們攜手迎接未來教育的新挑戰！
With the rise of generative AI (e.g., ChatGPT), educators face increasing challenges, especially in distinguishing whether students’ assignments are original or AI-assisted. This lecture, led by Dr. Maiga Chang, will dive into how Statistical Natural Language Processing (SNLP) and Convolutional Neural Networks (CNN) can enable accurate and efficient 3-stage authorship attribution.
Dr. Chang will cover:
Research Insights: How 2-class and 3-class models quickly identify text sources.
Practical Tools: An introduction to an open-access web application that helps educators instantly identify AI- and human-written texts, improving fairness and precision in evaluations.
Additionally, this event includes free lunch, and participants will receive 1-hour professional development credit.
Event Information:
Date and Time: December 12, 2024 (Thursday) 12:00–13:30
Venue: (Puren Small Collection (Room 103, Zhang Jingyu Memorial Library))
Audience: All faculty, staff, and students
We warmly invite you to join this insightful session, explore how AI can empower teaching innovation, and tackle the challenges of future education together!