本課程旨在於生成式 AI 與新興科技快速發展的浪潮中，引領教育專業研究生建立「人機協作」的學術與教學知能。課程內容採「研究賦能」與「數位學習實踐」雙軌並進：在學術研究方面，系統性地引導學生運用 ChatGPT、Zotero 及各類科技工具，具體解決撰寫論文五章（緒論、文獻探討、研究方法、數據分析、結論與建議）時遇到的實質痛點，從 APA 規範、文獻網絡地圖操作到量化數據視覺化，全面優化寫作流程並提升邏輯品質。在數位學習應用方面，透過一系列的研究導讀，帶領學生深度解析生成式 AI 的教育變革、虛擬實境（VR/AR）沉浸式學習、適性化學習系統及遊戲化機制等前瞻議題，探討新興科技如何翻轉教育現場並激發學習動機。

This course aims to lead education graduate students to build academic and teaching knowledge of "human-machine collaboration" in the wave of rapid development of generative AI and emerging technologies. The course content adopts the dual-track approach of "research empowerment" and "digital learning practice": in terms of academic research, students are systematically guided to use ChatGPT, Zotero and various technological tools to specifically solve the actual pain points encountered when writing the five chapters of the paper (introduction, literature discussion, research methods, data analysis, conclusions and suggestions), from APA specifications, literature network map operation to quantitative data visualization, to comprehensively optimize the writing process and improve the logical quality. In terms of digital learning applications, through a series of research introductions, students will be led to deeply analyze forward-looking topics such as the educational transformation of generative AI, virtual reality (VR/AR) immersive learning, adaptive learning systems and gamification mechanisms, and explore how emerging technologies can flip the educational scene and stimulate learning motivation.

教師自編教材
洪兆祥、黃聖方、漫新知（2026）。AI 研究寫作全攻略：NotebookLM × Gemini × ChatGPT × Perplexity。旗標。

Teachers’ own teaching materials
Hong Zhaoxiang, Huang Shengfang, Man Xinzhi (2026). A complete guide to AI research writing: NotebookLM × Gemini × ChatGPT × Perplexity. flag.