Eligible Cyberport Smart Living Incubation Programme incubatees may apply for 100% training fee reimbursement for this programme, subject to relevant Guides and Notes.
Description:
This course aims to build foundational AI ethics, literacy with an intensive and industry-oriented introduction and discussion. It will expose participants to the latest AI applications to keep their AI literacy update with the latest development. It will also promote teacher-student / senior executive-GenZ co-learning through hands-on activities and real-world use cases.
This course is a 6-hour AI Discovery &
Experiential learning programme designed for educators, executives and those
who want to make the best use of AI to enhance their knowledge transfer skills,
develop their business or streamline workflow.
By integrating EduHK’s expertise in education with academic theory, learning sciences and AI education research, the programme will incorporate pedagogical innovation, academic credibility, and educational sustainability, while retaining Cyberport’s strengths in practical industry application, innovation exposure, use cases and ecosystem access.
Course details:
Date: 28 Nov 2026 (Saturday)
Time: 9:30 - 17:00
Venue: Training Theatre, L3, Core F, Cyberport 3, 100 Cyberport Road, Hong Kong.
Training Fee
HK$1400 per person (including certification)
Note: Cyberport Smart Living Cluster Incubatees may apply for 100% training fee reimbursement under the Incubation Programme for Smart Living Start-ups. Please refer to the relevant Guides and Notes for application details. Reimbursement is subject to funding availability and will be granted on a first-come, first-served basis.
Certification
Participants who successfully complete the course and comply with the Cyberport Academy Attendance Policy will receive an electronic Certificate of Attendance after the training. According to Cyberport Academy Attendance Policy that participants must attend the course punctually and in full. Certificates of Attendance will generally not be issued to participants who are late for, or absent from, the training session for a cumulative total of more than 15 minutes.
Language
English (with English material and hands-on exercises / group activities in English or Cantonese)
|
Course Content |
Teaching & Learning Activities |
|
Foundations of AI from an
education and learning sciences perspective: AI as cognitive augmentation; human–AI
collaboration; cognitive load theory; self-regulated learning; generative
learning |
· Lectures · Group
discussion |
|
AI-enabled pedagogy and learning/work integration: practical applications of AI
tools in education and workplace contexts; examples of AI-supported learning
design and productivity tools |
· Lectures · Group
discussion |
|
The characteristics and importance
of digital literacy and citizenship: digital culture, the essential
elements of a digital citizen and their characteristics, AI literacy
frameworks (for example, DigComp 2.2), critical evaluation of AI-generated
content; misinformation, hallucination and bias |
· Lectures · Group
discussion |
|
Responsible AI use and healthy AI
habits: data
privacy; fairness; transparency; ethical considerations; emotional
well-being; reflective AI usage strategy development |
·
Lectures · Group
discussion |
|
Strategies for supporting Gen Z
development using AI: self-learning strategies, work
advancement and future career planning |
·
Lectures · Group
discussion |
|
Presentation and reflection on AI innovation ideas: participants present co-created
ideas and discuss AI ethics and practical implications |
· Group
presentation and reflections |
Remarks: Course content may subject to change as AI technology and development evolves rapidly
About the Speakers:
Dr. Yang Yin Nicole,
Assistant Professor, Department of Mathematics and Information Technology, The Education University of Hong Kong
Dr. Yang's interdisciplinary work combines cognitive science, language education, and educational technology, focusing on how artificial intelligence and emerging technologies can enhance teaching, learning, and human-computer collaboration. Her research explores AI-powered language learning, self-regulated learning, digital literacy, metacognition, and innovative instructional design in technology-enhanced environments.
Dr. Yang obtained her PhD in Education from EdUHK, specializing in self-regulated learning in computer-assisted learning environments. She also holds a Master of Science in Information Technology in Education from The University of Hong Kong and a bachelor's degree in English education and linguistics. She has served as a visiting scholar at Paris-Saclay University and the University of Munich.
Preface
Preface is Asia’s leading tech-enablement company, providing AI and digital transformation training for corporates, educators, professionals, and students. With over 100,000 learners and 800+ organisations served, Preface helps individuals and teams build practical AI capabilities and thrive in a fast-changing technology landscape.
For further training enquiry, please contact Mr. Mitch Cheung at training@cyberport.hk
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This course is designed for: Educators
Executives and/or those who want to make the best use of AI to enhance their knowledge, transfer skills, develop their business or streamline workflow.
Course Intended Learning Outcomes (CILOs) - Upon successful completion of this course, students should be able to:
CILO1: Explain key concepts of artificial intelligence from an education and learning sciences perspective, including cognitive load, self-regulated learning, generative learning, and human–AI collaboration.
CILO2: Apply a foundational AI literacy framework to critically interpret AI-generated outputs and make informed decisions in academic or professional scenarios.
CILO3: Demonstrate responsible AI use by identifying ethical considerations related to data privacy, fairness, transparency, and emotional well-being.
CILO4: Collaboratively develop and present an innovative AI-enabled business idea.