【跨域專題演講與實作】115/11/05 如何正確運用AI學術研究設計與減少幻覺寫作

【跨域專題演講與實作】

講題：如何正確運用AI學術研究設計與減少幻覺寫作
講者：李明憲 教授（國立東華大學教育與潛能開發學系專任教授）
時間：115年11月5日（星期四）09:00–12:00
地點：慈濟大學介仁校區立心樓1樓2C110花道教室
對象：全校師生
特別提醒：本場含實作，請攜帶筆記型電腦＋充電器。

【講者簡介】
李明憲教授現任國立東華大學教育與潛能開發學系專任教授，擁有國立臺灣師範大學教育學博士與廣州中醫藥大學中醫臨床基礎博士雙博士學位，橫跨教育與醫學兩大領域。研究專長包括健康行為、反霸凌、身心健康問題探討、運動與身心健康、國際安全學校、資訊融入 E-Health 及身體潛能開發。學術著作豐富，研究成果發表於多篇國內外學術期刊，並具豐富的期刊投稿與論文審查經驗。

近年李教授致力於將 AI 導入學術研究，親自開發多項研究輔助工具，包括開放式 Q 方法研究平台「Qsort-Owl」、量表中文化 AI 系統「TRACE-OWL」、「AI 學術指令大師」、「CVI 研究工具平台」及「SpeakOwl 講堂鷹」等。李教授經常受邀至花蓮、台北、大林慈濟醫院及慈濟大學等醫療與教育機構進行公開演講並帶領工作坊，主題涵蓋 AI 輔助研究寫作、Q 方法研究設計、量表中文化與國際期刊投稿等，深受學員好評。2026 年 5 月並率博士生赴日本東京參加 IAFOR 國際研討會（ACSS2026），發表 Qsort-Owl 平台研究成果。

【活動摘要】
生成式 AI 已成為研究者撰寫論文的常用工具，但許多同學只會使用，卻未留意相關的學術倫理規範；AI 也常會「一本正經地」編造不存在的文獻，形成引用幻覺，若未查證便寫入論文，可能衍生學術誠信爭議，影響深遠。本次演講由李明憲教授帶領大家認識 AI 引用幻覺的常見類型與成因，說明如何正確運用 AI 進行學術研究設計，並分享減少幻覺的寫作技巧與文獻查證方法，下半場另安排實作，讓同學現場動手練習。演講中將特別著重 AI 時代的學術倫理，包括 AI 使用的揭露與界線、引用與抄襲的規範、資料真實性與研究參與者隱私保護等議題，協助同學在善用 AI 的同時，守住學術誠信，避免日後衍生問題。

主辦單位：慈濟大學宗教與人文研究所

再次提醒：本場含實作，請攜帶筆記型電腦＋充電器。
歡迎全校師生踴躍參加！

【Interdisciplinary Seminar and Workshop】

Topic: Effective Application of AI in Academic Research Design and Strategies to Mitigate Hallucination in Writing
Speaker: Professor Ming-Hsien Li (Full-time Professor, Department of Education and Potential Development, National Dong Hwa University)
Date and Time: Thursday, November 5, 2026, 09:00–12:00
Venue: Flower Path Classroom (2C110), 1st Floor, Lixin Building, Jieren Campus, Tzu Chi University
Target Audience: All faculty and students
Special Note: This session includes a hands-on workshop. Please bring a laptop and charger.

【Speaker Biography】
Professor Ming-Hsien Li is currently a full-time professor in the Department of Education and Potential Development at National Dong Hwa University. He holds dual doctorates—a Ph.D. in Education from National Taiwan Normal University and a Ph.D. in Clinical Foundations of Traditional Chinese Medicine from Guangzhou University of Chinese Medicine—spanning the fields of education and medicine. His research expertise includes health behavior, anti-bullying, psychosomatic health issues, exercise and mental well-being, international safe schools, the integration of information technology into E-Health, and physical potential development. He has published extensively in numerous domestic and international academic journals and possesses significant experience in journal submission and peer review.

In recent years, Professor Li has focused on integrating Artificial Intelligence into academic research, personally developing several research-assistive tools, including the open-ended Q-methodology research platform "Qsort-Owl," the scale localization AI system "TRACE-OWL," "AI Academic Prompt Master," the "CVI Research Tool Platform," and "SpeakOwl." He is frequently invited to deliver public lectures and lead workshops at medical and educational institutions in Hualien, Taipei, Dalin Tzu Chi Hospital, and Tzu Chi University. His sessions, covering topics such as AI-assisted academic writing, Q-methodology research design, scale localization, and international journal submission, have been highly acclaimed. In May 2026, he led his doctoral students to present the research findings of the Qsort-Owl platform at the IAFOR International Conference (ACSS2026) in Tokyo, Japan.

【Event Summary】
Generative AI has become a common tool for researchers in academic writing; however, many students utilize these tools without considering the relevant academic ethical guidelines. Furthermore, AI frequently generates non-existent references with a high degree of confidence, creating "citation hallucinations." If these are included in a thesis without verification, they may lead to academic integrity disputes with profound consequences. In this seminar, Professor Ming-Hsien Li will guide participants in identifying common types and causes of AI citation hallucinations, explaining how to correctly apply AI to academic research design, and sharing writing techniques and literature verification methods to mitigate hallucinations. The second half of the session is dedicated to a hands-on workshop for practical application. The seminar will place particular emphasis on academic ethics in the AI era, including the disclosure and boundaries of AI usage, regulations regarding citation and plagiarism, data authenticity, and the protection of research participants' privacy, helping students leverage AI effectively while upholding academic integrity to avoid future complications.

Organizer: Institute of Religion and Humanities, Tzu Chi University

Reminder: This session includes a hands-on workshop. Please bring a laptop and charger.
All faculty and students are cordially invited to attend.