Mapping the educational Frontier: Unleashing the Potential of artificial intelligence talents through cooperative planning in the Guangdong-Hong Kong-Macao greater bay area
The Guangdong-Hong Kong-Macao Greater Bay Area (GBA) has become an important hub for technological innovation and economic development in China. With the growing demand for artificial intelligence (AI) and big data technology talents, it is essential to develop educational cooperation within the GBA...
| 出版年: | Heliyon |
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| 主要な著者: | , , , , |
| フォーマット: | 論文 |
| 言語: | 英語 |
| 出版事項: |
Elsevier
2024-01-01
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| 主題: | |
| オンライン･アクセス: | http://www.sciencedirect.com/science/article/pii/S2405844024001993 |
| _version_ | 1850127439947104256 |
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| author | Zhuo Zhang Jie Li Yansheng Chen Fajun Chen Zhonghao Liu |
| author_facet | Zhuo Zhang Jie Li Yansheng Chen Fajun Chen Zhonghao Liu |
| author_sort | Zhuo Zhang |
| collection | DOAJ |
| container_title | Heliyon |
| description | The Guangdong-Hong Kong-Macao Greater Bay Area (GBA) has become an important hub for technological innovation and economic development in China. With the growing demand for artificial intelligence (AI) and big data technology talents, it is essential to develop educational cooperation within the GBA to develop a talent pool that can meet the changing needs in the region. This paper focuses on the development of dynamic demand for AI talents and proposes a strategic planning framework for educational cooperation in the GBA. We use the research idea of common attributes and key chain clustering-factor association selection-analysis of the driving force and subordination among factors-the key characteristics of AI talents. Using collinear analysis of citations and grounded theory methods, an operational definition of the influencing factors of AI talent literacy characteristics is constructed. Using the Interpretative Structural Modeling(ISM) and MICMAC (Matrice d’Impacts Croises-Multipication Applique A Classement), analyze and identify the driving force and subordination of the influencing factors of key traits of talents, and present the combined effect of multi-level factors of key traits of talents. Combined with the educational differences and complementary advantages in the GBA, five strategies and seven implementation suggestions for the GBA's AI talent education cooperation plan are formulated to establish a collaborative ecosystem that promotes the growth and integration of AI in the GBA. |
| format | Article |
| id | doaj-art-dd2fa8d266ee4bb4b34ea81d0ef5ff69 |
| institution | Directory of Open Access Journals |
| issn | 2405-8440 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Elsevier |
| record_format | Article |
| spelling | doaj-art-dd2fa8d266ee4bb4b34ea81d0ef5ff692025-08-19T23:53:54ZengElsevierHeliyon2405-84402024-01-01102e2416810.1016/j.heliyon.2024.e24168Mapping the educational Frontier: Unleashing the Potential of artificial intelligence talents through cooperative planning in the Guangdong-Hong Kong-Macao greater bay areaZhuo Zhang0Jie Li1Yansheng Chen2Fajun Chen3Zhonghao Liu4School of Business, Macau University of Science and Technology, Macau, 999078, ChinaSchool of Finance and Trade, Guangdong Industry Polytechnic, Guangzhou, 510300, ChinaDept. of Institute of Big Data and Artificial Intelligence Applications, Guangdong Industry Polytechnic Guangzhou, 510300, China; Corresponding author.Institute of Education Planning and Policy, Guangzhou Academy of Education Guangzhou, China; Education Research Center of Guangdong-Hong Kong-Macao Greater Bay Area, Chinese Academy of Educational Sciences, ChinaDept. of Computing, Hong Kong Polytechnic University, Hong Kong, 999077, ChinaThe Guangdong-Hong Kong-Macao Greater Bay Area (GBA) has become an important hub for technological innovation and economic development in China. With the growing demand for artificial intelligence (AI) and big data technology talents, it is essential to develop educational cooperation within the GBA to develop a talent pool that can meet the changing needs in the region. This paper focuses on the development of dynamic demand for AI talents and proposes a strategic planning framework for educational cooperation in the GBA. We use the research idea of common attributes and key chain clustering-factor association selection-analysis of the driving force and subordination among factors-the key characteristics of AI talents. Using collinear analysis of citations and grounded theory methods, an operational definition of the influencing factors of AI talent literacy characteristics is constructed. Using the Interpretative Structural Modeling(ISM) and MICMAC (Matrice d’Impacts Croises-Multipication Applique A Classement), analyze and identify the driving force and subordination of the influencing factors of key traits of talents, and present the combined effect of multi-level factors of key traits of talents. Combined with the educational differences and complementary advantages in the GBA, five strategies and seven implementation suggestions for the GBA's AI talent education cooperation plan are formulated to establish a collaborative ecosystem that promotes the growth and integration of AI in the GBA.http://www.sciencedirect.com/science/article/pii/S2405844024001993Cooperative/collaborative learningCultural and social implicationsEvaluation methodologiesTeaching/learning strategies21st century abilities |
| spellingShingle | Zhuo Zhang Jie Li Yansheng Chen Fajun Chen Zhonghao Liu Mapping the educational Frontier: Unleashing the Potential of artificial intelligence talents through cooperative planning in the Guangdong-Hong Kong-Macao greater bay area Cooperative/collaborative learning Cultural and social implications Evaluation methodologies Teaching/learning strategies 21st century abilities |
| title | Mapping the educational Frontier: Unleashing the Potential of artificial intelligence talents through cooperative planning in the Guangdong-Hong Kong-Macao greater bay area |
| title_full | Mapping the educational Frontier: Unleashing the Potential of artificial intelligence talents through cooperative planning in the Guangdong-Hong Kong-Macao greater bay area |
| title_fullStr | Mapping the educational Frontier: Unleashing the Potential of artificial intelligence talents through cooperative planning in the Guangdong-Hong Kong-Macao greater bay area |
| title_full_unstemmed | Mapping the educational Frontier: Unleashing the Potential of artificial intelligence talents through cooperative planning in the Guangdong-Hong Kong-Macao greater bay area |
| title_short | Mapping the educational Frontier: Unleashing the Potential of artificial intelligence talents through cooperative planning in the Guangdong-Hong Kong-Macao greater bay area |
| title_sort | mapping the educational frontier unleashing the potential of artificial intelligence talents through cooperative planning in the guangdong hong kong macao greater bay area |
| topic | Cooperative/collaborative learning Cultural and social implications Evaluation methodologies Teaching/learning strategies 21st century abilities |
| url | http://www.sciencedirect.com/science/article/pii/S2405844024001993 |
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