活動預告

活動提供參加證明電子檔，統一於活動後兩週內寄出；學會保有活動最終修改、變更、活動解釋及取消本活動之權利。

即將登場！

五月場次：AI 工具如何支援 EMI 教學並轉換為研究量能

講者一：暨南國際大學 駱世民教授
簡介：https://www.ibs.ncnu.edu.tw/index.php/faculty/tenured-professor/299-smlo

講者二：陽明交通大學 林律君教授
簡介：https://ltrc.nycu.edu.tw/fulltimeteachers/luchunlin

即將登場！歡迎報名！詳見報名辦法如下

焦點一：運用 AI Vibe Coding 建立 EMI 數位課程與 EML 學習歷程分析

English: Leveraging AI Vibe Coding for EMI Digital Courses and EML Learning Analytics

本次分享將示範如何運用 AI Vibe Coding（自然語言與 AI 協作），建構具備 RWD（響應式網頁設計）的雙語導覽互動式 EMI 數位課程。內容包括如何同步整合適應式自主學習（SDL）評量、小組導向學習（TBL）以及同儕評量（Peer Review）機制，並引導教師建立系統化的追蹤，精準紀錄學生的 EML 數位學習軌跡，以供後續的教學成效解析。

This session demonstrates how to leverage AI Vibe Coding (human-AI collaboration via natural language) to construct an interactive, bilingual EMI digital course featuring Responsive Web Design (RWD). Participants will learn how to seamlessly integrate adaptive Self-Directed Learning (SDL) assessments, Team-Based Learning (TBL) frameworks, and Peer Review mechanisms into their courses. Additionally, the session will establish automated tracking systems to record students' EML (English as a Medium of Learning) trajectories for advanced learning analytics.

焦點二：從教學設計到學習證據：Human-AI-Human教學迴路在 EMI 課堂的實踐與分析

The Human-AI-Human Loop: From Teacher-Led Scaffold Design to Visible Learning in University

As AI tools become increasingly embedded in higher education, the key issue is no longer access, but design. In EMI contexts, the question is how AI can be positioned to support disciplinary learning and language development, rather than simply accelerating task completion. This talk introduces the Human–AI–Human Loop as a design-oriented framework for EMI teaching. The framework consists of three connected layers.

At the pedagogical layer, the teacher remains the primary designer. AI is used to unpack disciplinary knowledge, generate multimodal input, and structure tasks that align with Intended Learning Outcomes. Examples are drawn from an ESAP Biology course, where AI supports the transformation of dense scientific content into scaffolded reading, listening, and presentation tasks.

At the epistemic layer, AI is introduced as a tool for student meaning-making. Students engage with AI to process concepts, test explanations, and produce disciplinary outputs. In a methods course for pre-service English teachers, this includes designing lessons, articulating pedagogical reasoning, and refining instructional language through iterative AI-supported tasks.

At the learning analytics layer, student outputs and interaction traces are treated as evidence of learning. Rather than relying solely on final products, the process becomes visible through drafts, revisions, prompts, and feedback cycles. These data inform both teaching adjustments and classroom-based inquiry.

Across these two EMI/ESAP contexts, the talk illustrates how AI can be integrated as part of a coherent teaching-learning-research cycle. The aim is not to add technology to existing practice, but to redesign tasks so that learning processes become observable, discussable, and researchable. Participants will take away a structured way to think about AI integration in EMI, along with concrete examples that can be adapted to their own disciplinary and institutional settings.

活動報名

活動日期：2026 年 5 月 15 日（五）上午 9:00-12:00
活動地點：Google Meet（報名截止後寄送連結）
與會費用：NTD 600（會員打五折 NTD 300）
人數上限：最多 50 人
報名表單連結請見繳費資訊（活動前三天截止）

七月場次：AI × EMI 未來發展

對談焦點：AI in bilingual policy、AI tutors、global EMI research

講者一：國立政治大學 呂欣澤教授
簡介：https://ici.nccu.edu.tw/PageStaffing/Detail?fid=14219&id=5774

講者二：臺灣師範大學 許庭嘉教授
簡介：https://all.tahrd.ntnu.edu.tw/pages/about/about_1.html

特別來賓：UNSW Sydney Prof. Andy Gao
簡介：https://www.unsw.edu.au/staff/andy-gao

焦點一：TBA

焦點二：AI-Supported EMI

This talk examines how Artificial Intelligence (AI) is reshaping English-Medium Instruction (EMI) by moving beyond its traditional focus on language proficiency toward a more process-oriented and adaptive learning environment. Rather than positioning AI as a simple writing or translation tool, the presentation highlights its role as a learning mediator that supports meaning-making, communication, and revision. Through AI-supported scaffolding, such as interactive feedback, reflective practices, and iterative revision, students can more effectively develop their academic communication while reducing language anxiety and increasing their willingness to participate. The talk also addresses emerging challenges, particularly the need to rethink assessment practices in AI-mediated contexts. Key future directions, including AI literacy, human–AI collaboration, and feedback-driven learning design, are discussed to illustrate how EMI can evolve in the AI era. 

活動報名

活動日期：2026 年 7 月 24 日（五）上午 9:00–12:00
活動地點：Google Meet（報名截止後寄送連結）
與會費用：NTD 600（會員打五折 NTD 300）
人數上限：最多 50 人
報名表單連結請見繳費資訊（活動前三天截止）

五月、七月線上講座繳費資訊

銀行：華南銀行 008 信維分行
戶名：台灣專業英語文學會
帳號：149-10-0096511
單場費用：600元（報名多場活動者，請加總後一次轉帳）
會員費用：五折
繳費後請填寫此表單：https://forms.gle/8do2dm64b8naaTTw8

六月、九月實體講座報名資訊

報名請填寫此表單：https://forms.gle/AvymnWfKJ9qf4vi27 

歡迎來信諮詢：taiwanesp@gmail.com