Introduction
Events
Introduction
China and France issued a joint declaration on AI governance in May 2024. This declaration strengthens the bond between these two nations and sets a precedent for future AI collaborations between China and other European countries. Against this background, the knowledge and insights should be disseminated to promote AI literacy to the general public.
The proposed initiative aims to promote AI literacy and cultural exchange between the public in France and Hong Kong. French educational systems are renowned for their emphasis on philosophical inquiry, which is crucial in cultivating thoughtful individuals who can maintain their unique human qualities in an AI-infused society. The discussions on ‘human-centered’ AI-Human Partnership are fundamental to creating a world where AI may surpass human abilities without diluting the distinctive traits that define our humanity.
This travel for knowledge exchange and dissemination will be the extension of the ongoing project ‘Uncovering the “Black Box” of Machine Learning: Promoting Artificial Intelligence Literacy with AlphAI robots in Senior Primary/Junior Secondary Schools across Hong Kong and France’, which is supported by the Central Reserve Allocation Committee of The Education University of Hong Kong. This ongoing project will facilitate teacher professional development using AlphAI learning robots developed by French collaborators.
Research Objective(s):
1. To strengthen the academic collaboration between France and Hong Kong.
2. To exchange best practices in AI literacy education in K-12 settings and explore innovative approaches to teaching and curriculum development that enhance AI literacy among students.
3. To disseminate the knowledge and insights gained in the ongoing collaboration to promote AI literacy to the general public.
4. To foster dialogues on AI-human partnership across educational communities in France and Hong Kong.
5. To establish a framework for cross-cultural knowledge exchange and capacity-building in AI education and research.
AEER primary and secondary school teachers interview
Events
Seminar on Learning to Learn Through Artificial Intelligence Techniques: Metacognitive Impacts of Digital Teaching and Machine Learning in Elementary School
17 December 2025
Artificial Intelligence (AI) and Machine Learning education is entering the classroom, and yet the link between its introduction and the development of metacognition in students – i.e. the ability to understand and control their own learning processes – remains little explored. Therefore, our project investigates how teaching digital technology and machine learning can promote the metacognitive development of students aged 8 to 11. Two studies using AlphAI, a learning robot with a graphical interface, explored students’ understanding of artificial intelligence (AI) and the comparison between human and machine learning, as well as the transfer of these concepts to problem solving. Combined, the results demonstrate an improvement in students’ knowledge of AI, their metacognitive beliefs and behaviors, and their problem-solving strategies and performance. There has also been a shift in teaching practices, with increased integration of digital technologies and trial-and-error learning.