AI4EDU Workshop Series
Empowering Academic & Teaching Staff with AI to Drive Pedagogical Innovation
You are cordially invited to participate in the AI4EDU Workshop Series organised by the Centre for Learning, Teaching and Technology (LTTC).
Workshop Information
The workshop series aims to enhance the capacity of Academic and Teaching Staff to integrate AI into learning, teaching, and assessment in a pedagogically sound, ethical, and sustainable manner. Participation in these workshops can be counted towards the 9-hour AI training requirement for Level 1 of the AI4EDU Framework, which focuses on developing the AI and digital literacies of Academic and Teaching Staff to achieve course-level and programme-level AI integration, as well as pedagogical innovation.
Upcoming Workshops
Domain 2: AI for Pedagogy & Assessment (Skills)
Leveraging AI for Graphic Design and Animated Video Production
Speaker: Miss Maya WONG, EDO, LTTC
In learning and teaching, both teachers and students face the challenge of delivering high-quality, visually engaging content. This hands-on workshop introduces participants to practical applications of AI in graphic design and animated video production. By using AI tools (such as Dreamina, Kling, Pixverse, and CapCut), participants will learn how AI can streamline design processes, enhance creative skills, and produce compelling teaching materials. Participants will also practise crafting eye-catching task cards, infographic posters, and animated concept-explanation videos, making design tasks more efficient and accessible for everyone.
Domain 2: AI for Pedagogy & Assessment (Skills)
From AI in Your Pocket to AI in Your Classroom: Everyday Tools, Digital Humans, and Collaborative AI Pedagogy
Speakers: Dr Tsz Kit Davy NG, Assistant Professor, MIT; Dr Fridolin Sze Thou TING, Senior Lecturer I, MIT
Most teachers already use generative AI daily, often without connecting it to their classrooms. This hands-on "AI Playground" session bridges that gap. Participants begin by surfacing the AI tools they already rely on, then see generative AI's pedagogical potential brought to life through a live digital human demo, a concrete, next-generation example of AI in teaching. The session then moves to CollabSpace.AI, where participants build their own collaborative-learning room and experience the triadic teacher-AI-student dynamic first-hand, joining a chatroom as "students" to see how AI-mediated discussion and different forms of scaffolded prompting can play out in practice. Participants leave with a topic ready for trialing out a collaborative generative AI pedagogy with an appropriate supporting tool.
Domain 2: AI for Pedagogy & Assessment (Skills)
Leveraging AI for Graphic Design and Animated Video Production
Speaker: Miss Maya WONG, EDO, LTTC
In learning and teaching, both teachers and students face the challenge of delivering high-quality, visually engaging content. This hands-on workshop introduces participants to practical applications of AI in graphic design and animated video production. By using AI tools (such as Dreamina, Kling, Pixverse, and CapCut), participants will learn how AI can streamline design processes, enhance creative skills, and produce compelling teaching materials. Participants will also practise crafting eye-catching task cards, infographic posters, and animated concept-explanation videos, making design tasks more efficient and accessible for everyone.
Domain 2: AI for Pedagogy & Assessment (Skills)
Building Student Success with AI, for AI, and Beyond AI
Speaker: Dr Angela HUO, Associate Professor, School of Computer Science, UTS, Australia
As AI reshapes higher education and professional practice, programmes need to prepare students not only to learn with AI, but also to succeed for an AI-enabled future and develop enduring capabilities beyond AI. This seminar supports programme leaders and academic colleagues in translating these three dimensions into curriculum practice. Participants will consider how programme and course intended learning outcomes can be reviewed and updated to reflect appropriate AI knowledge, skills, critical judgement, ethical awareness, and distinctly human capabilities. The seminar will also explore purposeful integration of AI into learning, teaching, and disciplinary learning, while maintaining alignment between learning outcomes, educational experiences, and student development. Through practical examples and discussion, participants will identify opportunities to build coherent, future-facing curricula that enable students to use AI critically, responsibly, and confidently.
Domain 2: AI for Pedagogy & Assessment (Skills)
Who's Doing the Thinking? Designing Collaborative GenAI Pedagogies with TPACK×SAMR and AI-ICAP
Speakers: Dr Lucas KOHNKE, Senior Lecturer I, ELE; Dr Fridolin Sze Thou TING, Senior Lecturer I, MIT
Generative AI can deepen learning or quietly replace the thinking we want students to do, and the difference often lies in how the activity is designed rather than which tool is used. This hands-on workshop pairs two complementary lenses. Dr Lucas KOHNKE introduces the TPACK×SAMR matrix, which shows what teachers need to know, which competencies they need, and which risks arise as AI moves from substituting to redefining learning tasks. Dr Fridolin TING introduces AI-ICAP, a working framework that adds a second dimension to ICAP: who retains cognitive ownership, from AI-substituted to AI-collaborated. It helps teachers judge when AI raises or lowers real cognitive engagement. Using YoChatGPT (CollabSpace.AI), participants experience the same activity run two ways in a live room, then work to redesign one of their own activities as a collaborative teacher-AI-student task, build it in a room, and get peer feedback. Participants leave with a completed design canvas and a room ready to pilot.
Domain 2: AI for Pedagogy & Assessment (Skills)
Getting Groups Unstuck: Using MOVA and AI Nudges to Guide Collaborative Inquiry
Speakers: Dr Shen BA, Assistant Professor, C&I; Dr Fridolin Sze Thou TING, Senior Lecturer I, MIT
Group work is a staple of university teaching, but teachers rarely see where a group’s thinking stalls, and generative AI can either help groups move forward or simply hand them the answers. Using the Community of Inquiry model and movement analysis (MOVA), Dr Shen BA shows how a group’s discussion can be traced as movement between inquiry states, and where groups tend to stall: cycling between exploring ideas and staying socially comfortable, and only briefly reaching integration and resolution. Dr Fridolin TING then presents how YoChatGPT (CollabSpace.AI) rooms can host an AI agent that acts as teaching presence, nudging groups at those moments rather than doing the thinking for them. In this hands-on workshop, participants join a live room as student groups, experience the nudges first-hand, and sketch how one of their own group tasks would work. The workshop is also an invitation. We are looking for university teachers to pilot AI-nudged group work in a course in Semester 2, 2026-27, comparing teacher-scaffolded, guardrailed-AI, and AI-gives-answers conditions. Pilot teachers will receive a MOVA-based report on how their students’ groups moved through inquiry, co-design support, and the opportunity to co-author findings.
Previous Workshops
Domain 1: AI Foundations & Ethics (Knowledge)
Using AI Tools to Support Lesson Planning and Data Visualisation
Speakers: Dr Galaxy CAO, EDO, LTTC; Mr Will DING, EDO, LTTC
This hands-on workshop introduces practical ways to use AI tools (e.g. EdUHK GenAI, Google Gemini) to search for information, generate content aligned with learning outcomes, create interactive and engaging learning activities, and produce data visualisations that support pedagogical decision-making. Participants will practise using AI tools for lesson planning and the preparation of teaching materials, with the aim of enhancing efficiency and reducing workload.
Domain 1: AI Foundations & Ethics (Knowledge)
Introduction to AI Foundations and Ethics
Speaker: Dr Hong FU, Associate Director, LTTC; Associate Professor, MIT
This workshop introduces core AI concepts, explores how large language models (LLMs) work, presents some basic AI tools, and examines the ethical considerations critical to education, such as bias, privacy, academic integrity, and equitable access. Through interactive discussions and real-world examples, participants will learn to use AI tools responsibly and develop an understanding of ethical guidelines for harnessing AI’s potential in learning and teaching. This workshop also lays the groundwork for subsequent workshops by establishing a shared vocabulary and ethical framework for AI use in learning and teaching.
Domain 1: AI Foundations & Ethics (Knowledge)
Using AI Tools to Support Lesson Planning and Data Visualisation
Speakers: Dr Galaxy CAO, EDO, LTTC; Mr Will DING, EDO, LTTC
This hands-on workshop introduces practical ways to use AI tools (e.g. EdUHK GenAI, Google Gemini) to search for information, generate content aligned with learning outcomes, create interactive and engaging learning activities, and produce data visualisations that support pedagogical decision-making. Participants will practise using AI tools for lesson planning and the preparation of teaching materials, with the aim of enhancing efficiency and reducing workload.
Domain 1: AI Foundations & Ethics (Knowledge)
Introduction to AI Foundations and Ethics
Speaker: Dr Eugene FU, Assistant Professor, LTTC
This workshop introduces core AI concepts, explores how large language models (LLMs) work, presents some basic AI tools, and examines the ethical considerations critical to education, such as bias, privacy, academic integrity, and equitable access. Through interactive discussions and real-world examples, participants will learn to use AI tools responsibly and develop an understanding of ethical guidelines for harnessing AI’s potential in learning and teaching. This workshop also lays the groundwork for subsequent workshops by establishing a shared vocabulary and ethical framework for AI use in learning and teaching.
Domain 2: AI for Pedagogy & Assessment (Skills)
Mastering Large-Class Teaching with AI and Educational Tools
Speaker: Dr Tina MA, EDM, LTTC
Large classes pose significant challenges for instruction, feedback, and engagement. This workshop introduces practical ways to use AI and educational tools (e.g. Moodle, Mentimeter) to support large-class teaching while protecting academic integrity and maintaining learning quality. Participants will learn how to use these tools for tasks such as designing scaffolded activities, improving accessibility, and enhancing real-time interaction. The workshop will also explore effective ways to deploy teaching assistants to strengthen facilitation, responsiveness, and learning outcomes.
Domain 2: AI for Pedagogy & Assessment (Skills)
Employing AI for Formative Assessment and Feedback
Speaker: Mr Samuel HONG, Lecturer, LTTC
This hands-on workshop explores AI tools for generating practice questions, automated quizzes, personalised feedback comments, and progress dashboards. Participants will learn to combine AI efficiency with human insight to support formative assessment while maintaining academic integrity. Through practical exercises, participants will also practise generating quizzes automatically from their own lecture notes and materials. This workshop will equip participants with the practical skills to save time and enhance student learning outcomes through effective formative assessment.
Domain 2: AI for Pedagogy & Assessment (Skills)
Employing AI for Formative Assessment and Feedback
Speaker: Mr Samuel HONG, Lecturer, LTTC
This hands-on workshop explores AI tools for generating practice questions, automated quizzes, personalised feedback comments, and progress dashboards. Participants will learn to combine AI efficiency with human insight to support formative assessment while maintaining academic integrity. Through practical exercises, participants will also practise generating quizzes automatically from their own lecture notes and materials. This workshop will equip participants with the practical skills to save time and enhance student learning outcomes through effective formative assessment.
Domain 2: AI for Pedagogy & Assessment (Skills)
Mastering Large-Class Teaching with AI and Educational Tools
Speaker: Dr Tina MA, EDM, LTTC
Large classes pose significant challenges for instruction, feedback, and engagement. This workshop introduces practical ways to use AI and educational tools (e.g. Moodle, Mentimeter) to support large-class teaching while protecting academic integrity and maintaining learning quality. Participants will learn how to use these tools for tasks such as designing scaffolded activities, improving accessibility, and enhancing real-time interaction. The workshop will also explore effective ways to deploy teaching assistants to strengthen facilitation, responsiveness, and learning outcomes.
Domain 2: AI for Pedagogy & Assessment (Skills)
Leveraging AI for Graphic Design and Animated Video Production
Speakers: Miss Shirley YAU, EDO, LTTC; Miss Maya WONG, EDO, LTTC
In learning and teaching, both teachers and students face the challenge of delivering high-quality, visually engaging content. This hands-on workshop introduces participants to practical applications of AI in graphic design and animated video production. By using AI tools (such as Dreamina, Kling, Pixverse, and CapCut), participants will learn how AI can streamline design processes, enhance creative skills, and produce compelling teaching materials. Participants will also practise crafting eye-catching task cards, infographic posters, and animated concept-explanation videos, making design tasks more efficient and accessible for everyone.
Domain 3: Professional Identity & Responsible AI Practice (Attitudes)
Responsible AI Beyond Ethics Checklists
Speaker: Professor Raian ALI, Visiting Professor, EdUHK; UNESCO Chair in Digital Technologies and Human Behaviour; Professor, College of Science and Engineering, Hamad Bin Khalifa University, Qatar
This talk explores responsible AI and professional identity through the lens of human behaviour, trust, and digital wellbeing. Drawing on recent work on AI dependency, AI apprehension, trust calibration, explainability, and persuasive system design, it examines how Generative AI and Large Language Models are reshaping academic practice, cognitive effort, and human agency. The session discusses the tension between AI as augmentation and AI as a source of over-reliance, cognitive offloading, and behavioural influence. It further reflects on the role of educators and researchers in modelling responsible AI use in an era where conversational AI systems increasingly shape learning, decision-making, and professional practice.
Domain 3: Professional Identity & Responsible AI Practice (Attitudes)
Generative AI’s Concerns and Solutions - Getting to Know Your TALK (Teaching, Assessment, Learning, and Knowledge) Toolkit
Speaker: Professor Maiga CHANG, Full Professor & Associate Dean, Research & Innovation, Faculty of Science and Technology, Athabasca University, Canada
Since OpenAI launched ChatGPT in November 2022, it immediately grabbed everyone’s attention. ChatGPT is built on GPT which stands for Generative Pre-trained Transformer. The Generative AI tools (e.g., OpenAI's ChatGPT and Google's Gemini) are now well-known and popular with the public. These tools are powerful and easy to use. In this talk I will start by addressing some limitations and concerns you may have toward Generative AI. Then I will introduce some good tools that could help you in terms of Teaching, self-practising and/or Assessing your students' performance, self-Learning, and acquiring Knowledge and/or doing research.
Domain 3: Professional Identity & Responsible AI Practice (Attitudes)
Developing and Implementing AI Chatbots
Speakers: Dr Galaxy CAO, EDO, LTTC; Mr Will DING, EDO, LTTC
AI chatbots can provide instant feedback to support learning and teaching. This hands-on workshop guides participants in designing educational chatbots for tasks such as handling FAQs, providing student support, explaining concepts, and guiding learning through Socratic questioning. The workshop will demonstrate Retrieval-Augmented Generation (RAG) technology to enhance response accuracy and reduce hallucinations by grounding answers in participants’ course materials. It will also address limitations, data privacy considerations, and integration with existing Learning Management Systems (LMS) such as Moodle.
Domain 3: Professional Identity & Responsible AI Practice (Attitudes)
Developing GenAI-Powered Agents for Learning and Teaching
Speaker: Dr Eugene FU, Assistant Professor, LTTC
This hands-on workshop covers designing GenAI agents on AI platforms (e.g. the LTTC MaaS platform) to execute automated workflows and process complex documents. Participants will explore multi-step agent workflows and integration strategies suitable for learning and teaching. The workshop will also introduce “Vibe Coding” — an approach to software development using natural language prompts to generate code — as a means of creating customised learning tools for diverse teaching contexts. Participants will gain the skills needed to responsibly develop and deploy generative AI agents that enhance the learning and teaching experience.
Domain 3: Professional Identity & Responsible AI Practice (Attitudes)
Developing and Implementing AI Chatbots
Speakers: Dr Galaxy CAO, EDO, LTTC; Mr Will DING, EDO, LTTC
AI chatbots can provide instant feedback to support learning and teaching. This hands-on workshop guides participants in designing educational chatbots for tasks such as handling FAQs, providing student support, explaining concepts, and guiding learning through Socratic questioning. The workshop will demonstrate Retrieval-Augmented Generation (RAG) technology to enhance response accuracy and reduce hallucinations by grounding answers in participants’ course materials. It will also address limitations, data privacy considerations, and integration with existing Learning Management Systems (LMS) such as Moodle.
Domain 3: Professional Identity & Responsible AI Practice (Attitudes)
Developing GenAI-Powered Agents for Learning and Teaching
Speakers: Dr Galaxy CAO, EDO, LTTC; Mr Will DING, EDO, LTTC
This hands-on workshop covers designing GenAI agents on AI platforms (e.g. the LTTC MaaS platform) to execute automated workflows and process complex documents. Participants will explore multi-step agent workflows and integration strategies suitable for learning and teaching. The workshop will also introduce “Vibe Coding” — an approach to software development using natural language prompts to generate code — as a means of creating customised learning tools for diverse teaching contexts. Participants will gain the skills needed to responsibly develop and deploy generative AI agents that enhance the learning and teaching experience.
Domain 3: Professional Identity & Responsible AI Practice (Attitudes)
Autonomous AI Agents: Risks and Responsible Practices
Speaker: Professor Guandong XU, Assistant Vice President (Artificial Intelligence and Education Innovation), Chair Professor of Artificial Intelligence, EdUHK
As autonomous AI agents become increasingly capable, understanding their risks is crucial. This workshop will introduce current autonomous AI agent frameworks (e.g. OpenClaw, Hermes, etc.) and their functions, explore how AI may reshape professional identity and the value of human skills, and examine potential pitfalls in the agentic AI era, such as over-reliance, bias amplification, metacognitive laziness, and other practical or ethical concerns in educational settings, while providing practical suggestions for responsible use. It will also present case studies on learning, teaching, assessment, and educational administration to demonstrate how to maintain a human-centred mindset and sound decision-making practices when using autonomous AI agents.
Participation in these workshops can be counted towards the Certificate Course “Introduction to Teaching in Higher Education” under the theme “Learning and Teaching Seminars/Workshops”.