Symposium

按此登記 (截止日期：5月21日)

香港教育大學 x 香港教育城

「裝備未來：利用人工智能創新賦能學與教」研討會及工作坊

(Please see English version below.)

簡介

本次研討會及工作坊旨在利用先進的人工智能技術來提升教育實踐和成果。此活動將作為一個協作平台，匯聚高等教育機構、中小學、以及相關產業等多元教育夥伴，共同推動人工智能驅動的教育解決方案之發展與實施。透過運用推理大型語言模型（LLMs），我們希望賦能教育工作者利用人工智能工具促進創新，並豐富整體的學習和教學體驗。

節目安排

時間	活動
2:00 – 2:15 pm	登記
2:15 – 2:30 pm	啟動
2:30 – 3:15 pm	講座一：生成式人工智能的創新教學應用 楊良河教授 香港教育大學數學與資訊科技學系教授 香港教育大學數據科學與人工智能中心實驗室副總監
3:15 – 3:25 pm	小息
3:25 – 4:10 pm	工作坊 化AI為友：AI互動教材設計工作坊 洪子霖先生 香港教育大學教學科技中心講師
4:10 – 4:20 pm	小息
4:20 – 5:05 pm	講座二：中小學教育應用人工智能三維框架：理解 (Understanding)、運用 (Using) 與 釋放 (Unleashing) 江紹祥教授 香港教育大學數學與資訊科技學系 電子學習與數碼能力研究講座教授 香港教育大學人工智能及數碼能力教育中心總監
5:05 – 5:15 pm	閉幕

講座一

生成式人工智能的創新教學應用

摘要

釋放生成式人工智能的潛力，提升老師們的教學水準，助力學生成功！本次講座將分享兩個具體的創新應用：(一)基於多模態人工智能的自主語言學習；(二)基於生成式人工智能的教學視頻自動合成。創新應用一：當學生觀察和描寫常見事物與情境時，我們利用多模態人工智能模型分析視覺圖像，自動生成詞彙、句子、對話等學習內容。同時，系統對學生的回答進行即時評價並提供反饋，從而通過人機交互的方式幫助學生自主提升英文寫作能力。創新應用二：我們根據老師的教學課件、個人頭像和語音，運用生成式人工智能技術生成講解腳本、教師頭像及各種評估練習, 進而自動合成互動式學習視頻，幫助教師輕鬆開展混合式教學。

個人簡介

楊良河教授是香港教育大學數學與資訊科技學系教授，並擔任數據科學與人工智能中心實驗室副總監。他目前是國際統計計算協會執行委員會委員，曾任該協會亞洲區分會主席、香港統計學會副會長，以及IEEE計算智能學會計算金融與經濟學技術委員會委員。他的近期研究方向包括偏好學習、時間序列分析、多模態人工智能及其在教育和醫療中的應用。楊教授擁有超過150多篇學術著作和兩本研究專著，並獲得多項國際發明獎。

工作坊

化AI為友：AI互動教材設計工作坊

摘要

教師常面臨備課時間不足、教材設計耗時，以及難以兼顧學生互動需求的挑戰。本工作坊將示範如何透過 Poe 提示詞機器人和 Canvas 應用程式，快速打造互動教學素材。您將學會：(1) 運用精準提問技巧，讓 Poe 自動生成選擇題，情境式問答，解決構思題目的困擾；(2) 將教學內容轉化為視覺化教材，如簡易教學網站； (3) 設計跨學科互動遊戲框架，提升學生參與度。無需複雜技術，從基礎到進階，適合所有的教師。

個人簡介

洪子霖先生現任香港教育大學教學科技中心講師，專研人工智能與數位素養領域，並精於大數據分析及運算技術。在教學方面表現卓越，加入香港教育大學前，曾連續兩年獲頒香港都會大學卓越教學獎殊榮。洪先生積極推動人工智能教育應用，致力於香港各教育機構推廣多元AI工具，協助教師提升教學成效。

講座二

中小學教育應用人工智能三維框架：理解 (Understanding)、運用 (Using) 與 釋放 (Unleashing)

摘要

「教育應用人工智能的三維框架」提出了一個中小學教育應用的方向，這框架強調理解(Understanding)、運用(Using) 和 釋放(Unleashing)。「理解 (Understanding)」維度著重於培養人對人工智能技術的認知，確保其能夠具備背境知識的參與。「運用 (Using)」維度則探討人工智能的教育應用，例如個別化學習，以提升教學和學習的效率與效果。「釋放 (Unleashing)」維度著眼於人工智能所帶來的機遇，幫助未來世代的人具備創造有意義的價值的能力。本框架強調在人工智能驅動的社會如何應對運用生成式人工智能所面臨的挑戰，特別是如何讓每個人獲得提升能力的機會。

個人簡介

江紹祥教授現為香港教育大學數學與資訊科技學系的研究講座教授，並擔任人工智能及數碼能力教育中心總監。江教授目前擔任國際期刊《Research and Practice in Technology Enhanced Learning (RPTEL)》和《Journal of Computers in Education (JCE)》的主編。江教授在二零一九年至二零二四年皆入選美國史丹福大學教育領域的全球首2%科學家名單。江教授現正領導數個為期共八年（二零二零年至二零二七年）的人工智能普及認知教育項目，涵蓋香港及法國的高小及初中生、香港的高中學生、大學生、中小學教師及家長和在職行政人員。他是香港教育大學高級管理專業人員人工智能理學碩士 [MSc(AIEP)] 課程負責人。

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English Version

Click to Register (Deadline: 21 May 2025)

EdUHK x EdCity

Symposium cum Workshop on Empowering Future Readiness through Transformative AI Innovations in Learning and Teaching

Objective

The symposium and workshop aim to harness advanced AI technologies to enhance educational practices and outcomes. This event will serve as a collaborative platform for various educational stakeholders, including higher education institutions, primary and secondary schools, and industry partners, to drive the development and implementation of AI-driven solutions in education. By utilizing reasoning Large Language Models (LLMs), we seek to empower educators to leverage AI tools for fostering innovation and enriching the overall learning and teaching experience.

Schedule

Time	Activity
2:00 – 2:15 pm	Registration
2:15 – 2:30 pm	Opening
2:30 – 3:15 pm	Opening and Seminar 1 by Prof YU Leung Ho Philip Professor at the Department of Mathematics and Information Technology; Associate Director of University Research Facility of Data Science and Artificial Intelligence, The Education University of Hong Kong
3:15 – 3:25 pm	Break
3:25 – 4:10 pm	Workshop by Mr HONG Tsz Lam Samuel Lecturer at Centre for Learning, Teaching and Technology, The Education University of Hong Kong
4:10 – 4:20 pm	Break
4:20 – 5:05 pm	Seminar 2 by Prof KONG Siu Cheung Research Chair Professor of E-Learning and Digital Competency at the Department of Mathematics and Information Technology; Director of Artificial Intelligence and Digital Competency Education Centre, The Education University of Hong Kong
5:05 – 5:15 pm	Closing Ceremony

Seminar 1

Innovative Applications of Generative AI in Teaching

Abstract

Unlock the potential of generative AI to enhance teaching quality and support student success! This seminar will share two specific innovative applications: (1) multimodal AI-based autonomous language learning; and (2) AI-generated teaching video synthesis. For the first innovation: When students observe and describe common objects and situations, we utilize multimodal AI models to analyze visual images and automatically generate learning content such as vocabulary, sentences, and dialogues. Simultaneously, the system evaluates students' responses in real-time and provides feedback, helping students autonomously improve their English writing skills through human-machine interaction. For the second innovation: Based on teachers' teaching materials, personal avatars, and voice, we employ generative AI technology to create explanation scripts, teacher avatars, and various assessment exercises, ultimately automatically synthesizing interactive learning videos to help teachers easily conduct blended teaching.

Speaker Bio

Professor Yu Leung Ho Philip is a Professor at the Department of Mathematics and Information Technology and serves as the Associate Director of the University Research Facility of Data Science and Artificial Intelligence at the Education University of Hong Kong. He is currently a member of the Executive Committee of the International Association for Statistical Computing and has previously served as the Chair of its Asian Regional Section, Vice President of the Hong Kong Statistical Society, and a member of the Technical Committee on Computational Finance and Economics of the IEEE Computational Intelligence Society. His recent research focuses on preference learning, time series analysis, multimodal AI, and their applications in education and healthcare. Professor Yu has authored over 150 academic publications and two research monographs, and has received multiple international invention awards.

Workshop

Making AI Your Friend - AI Interactive Teaching Materials Design Workshop

Abstract

Teachers often face challenges such as insufficient preparation time, time-consuming material design, and difficulty meeting student interaction needs. This workshop will demonstrate how to quickly create interactive teaching materials using Poe prompt robots and Canvas applications. You will learn to: (1) Use precise questioning techniques to let Poe automatically generate multiple-choice questions and situational Q&As, solving the problem of conceiving questions; (2) Transform teaching content into visual materials, such as simple teaching websites; (3) Design interdisciplinary interactive game frameworks to increase student participation. No complex technology required, from basic to advanced, suitable for all teachers.

Speaker Bio

Mr. Hong Tsz Lam Samuel is currently a Lecturer at the Centre for Learning, Teaching and Technology at the Education University of Hong Kong, specializing in artificial intelligence and digital literacy, with expertise in big data analysis and computational technology. He has demonstrated excellence in teaching, having been awarded the Hong Kong Metropolitan University Excellence in Teaching Award for two consecutive years before joining the Education University of Hong Kong. Mr. Hong actively promotes AI applications in education and is dedicated to promoting various AI tools in educational institutions across Hong Kong to help teachers enhance teaching effectiveness.

Seminar 2

Artificial Intelligence in Education Three U Framework of Understanding, Using and Unleashing for Primary and Secondary Education

Abstract

The "Artificial Intelligence (AI) in Education Three U Framework" presents an approach to integrating AI into primary and secondary education. This framework emphasises three dimensions: understanding, using, and unleashing AI's potential. The "understanding" dimension focuses on fostering conceptual understanding of AI technologies among teachers and students, ensuring informed engagement. The "using" dimension explores practical applications of AI to enhance efficiency and effectiveness of teaching and learning, such as individualized learning. The final dimension, "unleashing," addresses the transformative opportunities AI in equipping future generations to create meaningful value in working with AI. The framework highlights the challenges of utilising generative AI to enhance the capabilities of everyone in an AI-driven society.

Speaker Bio

Professor Kong Siu Cheung is currently a Research Chair Professor in the Department of Mathematics and Information Technology at the Education University of Hong Kong and serves as the Director of the Artificial Intelligence and Digital Competency Education Centre. He is the Editor-in-Chief of international journals "Research and Practice in Technology Enhanced Learning (RPTEL)" and "Journal of Computers in Education (JCE)". From 2019 to 2024, Professor Kong has been listed among the global top 2% of scientists in the field of education by Stanford University. He is currently leading several AI cognitive education projects spanning eight years (2020-2027), covering upper primary and lower secondary students in Hong Kong and France, as well as high school students, university students, K-12 teachers, parents, and executives in Hong Kong. He is the program leader for the Master of Science in Artificial Intelligence for Executive Professionals [MSc(AIEP)] at the Education University of Hong Kong.