Please use this identifier to cite or link to this item: https://repository.cihe.edu.hk/jspui/handle/cihe/4379
DC FieldValueLanguage
dc.contributor.authorChan, Anthony Hing-Hungen_US
dc.contributor.authorHodgson, Paulen_US
dc.contributor.authorCheung, William Chi Keungen_US
dc.contributor.authorTsang, Keith Kin Keien_US
dc.contributor.otherChan, L.-
dc.contributor.otherTam, H.-
dc.date.accessioned2024-02-16T06:06:49Z-
dc.date.available2024-02-16T06:06:49Z-
dc.date.issued2023-
dc.identifier.urihttps://repository.cihe.edu.hk/jspui/handle/cihe/4379-
dc.description.abstractThe 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.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.titleA design of artificial intelligence educationen_US
dc.typeconference proceedingsen_US
dc.relation.publicationProceedings of the IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE 2023)en_US
dc.identifier.doi10.1109/TALE56641.2023.10398398-
dc.contributor.affiliationSchool of Computing and Information Sciencesen_US
dc.contributor.affiliationSchool of Computing and Information Sciencesen_US
dc.contributor.affiliationSchool of Computing and Information Sciencesen_US
dc.contributor.affiliationSchool of Computing and Information Sciencesen_US
dc.relation.isbn9781665453318en_US
dc.description.startpage120en_US
dc.description.endpage127en_US
dc.cihe.affiliatedYes-
item.openairecristypehttp://purl.org/coar/resource_type/c_5794-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.languageiso639-1en-
item.openairetypeconference proceedings-
item.fulltextNo Fulltext-
crisitem.author.deptSchool of Computing and Information Sciences-
crisitem.author.deptSchool of Computing and Information Sciences-
crisitem.author.deptSchool of Computing and Information Sciences-
crisitem.author.deptSchool of Computing and Information Sciences-
crisitem.author.orcid0000-0001-7479-0787-
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