Please use this identifier to cite or link to this item: https://repository.cihe.edu.hk/jspui/handle/cihe/4379
Title: A design of artificial intelligence education
Author(s): Chan, Anthony Hing-Hung 
Hodgson, Paul 
Cheung, William Chi Keung 
Tsang, Keith Kin Kei 
Author(s): Chan, L.
Tam, H.
Issue Date: 2023
Publisher: IEEE
Related Publication(s): Proceedings of the IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE 2023)
Start page: 120
End page: 127
Abstract: 
The fast development and use of artificial intelligence (AI) and its penetration to almost every profession in the Age of AI need support in popularizing AI education to nurture many professionals. The design includes a hierarchy of education in AI from graduate school level to undergraduate level and then to middle and elementary schools need to be established. It first builds up AI experts in a supportive environment for both teaching and conducting research at the university level with enough critical mass to provide leadership in AI education in a degree program of AI on its own. The AI degree program nurtures AI professionals as well as future AI schoolteachers and may also provide AI training to existing schoolteachers. Having AI schoolteachers, AI education programs may be implemented in all schools starting from an early age at the 3rd grade through 12th grade. Here, AI experts from the university and experienced schoolteachers may collaborate to design the curriculum. One may develop an AI learning and teaching management system to support self-directed learning as well as collaborative learning to rapidly popularize AI education. In addition, learning through projects from an early age will nurture future innovators. Also, competitions and student presentations at conferences provide much motivation and training for the young learners.
URI: https://repository.cihe.edu.hk/jspui/handle/cihe/4379
DOI: 10.1109/TALE56641.2023.10398398
CIHE Affiliated Publication: Yes
Appears in Collections:CIS Publication

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