This online workshop will systematically guide participants in mastering the learning applications of various AI tools. The content covers the fundamentals of machine learning, training in image recognition, creating interactive games, developing web applications, building autonomous learning resources, and personalising AI tutoring. Participants will learn to apply AI in practical scenarios, transforming abstract knowledge into engaging challenges. They will establish personal quiz websites and generate simulated exercises along with subject-specific assistants, comprehensively mastering strategies to enhance learning and teaching effectiveness through AI, from theory to practice.

Workshop Details:

Date: 13 Mar, 20 Mar, 27 Mar & 10 Apr 2026 (Fri)
Time: 16:30-18:00
Target audience: Upper primary to junior secondary students
Language: Cantonese
Format: Online (Zoom)

Registration:

- Via school: Please complete the "School Application Form: Artificial Intelligence Online Workshop" and return to derek.kun@hkecl.net
- Individuals: Please register at this website

Remarks:

- A computer or a tablet# running on either Windows, MacOS, iPadOS# or Android# operating system will be required
#Tablet users (iPadOS or Android Operating Systems), please install the POE application in advance
App Store：iPadOS
Google Play：Android
- Electronic certificate will be presented to students with over 75% attendance - Login URL and password of the workshops will be delivered to participants through email

Content:

Session 1

- Understanding the fundamental concepts of AI and machine learning
- Training AI image recognition using the Machine Learning for Kids platform
- Creating a "Guess What I Draw" game hands-on

Session 2

- Learning about web application concepts and their advantages
- Creating a bespoke app using the POE and Lovable AI platforms
- Developing an interactive physics experiment web app

Session 3

- Creating interactive quiz games and flashcards for any subject
- Building personalised revision websites without coding knowledge
- Mastering testing, debugging and sharing techniques for digital tools

Session 4

- Creating personalised AI tutors using textbooks and study notes
- Customising AI teaching styles to match individual learning preferences
- Generating practice questions and subject-specific helpers from study materials