TY  - JOUR
AU  - Dou, Wenjie
AU  - Jia, Qian
AU  - Li, Zhiwen
AU  - Li, Zepeng
PY  - 2026
DA  - 2026/09/22
TI  - Research on Paths of Artificial Intelligence-Empowered Education for Elderly Care Service Practitioners
JO  - Frontiers in Educational Innovation and Research
T2  - Frontiers in Educational Innovation and Research
JF  - Frontiers in Educational Innovation and Research
VL  - 2
IS  - 3
SP  - 116
EP  - 127
DO  - 10.62762/FEIR.2026.849704
UR  - https://www.icck.org/article/abs/FEIR.2026.849704
KW  - artificial intelligence
KW  - education for elderly care professionals
KW  - high-quality development
KW  - integration of industry and education
AB  - With the continuous deepening of population aging in China, talent education for elderly care services is confronted with a prominent imbalance between talent supply and demand, structural misalignment, homogenization of course content, and weak teaching effectiveness. With its powerful data processing, personalized services, and intelligent decision-making capabilities, artificial intelligence (AI) offers new opportunities for solving traditional training problems and promoting the reform and innovation of talent education. Based on clarifying the value of AI in empowering the education of elderly care service talents and its role positioning as an ``innovator, manager, and evaluator'', this article analyzes the current practical challenges: the shortage in the quantity of supply, the imbalance in the allocation of resources between urban and rural areas, the disconnection between course content and the demands of intelligent elderly care, the single teaching mode, and the risks of ``filter bubbles'' and the weakening of value rationality in the application of technology. It then puts forward practical paths: a shift from ``simple technological superposition'' to ``deep integration''; in terms of courses, building an intelligent curriculum system that integrates ``job, course, competition, and certificate''; in teaching, carrying out online--offline blended and virtual immersive teaching; in terms of teachers, creating a diverse and collaborative ``dual-qualified teacher'' team; on the platform side, building an open base that integrates on-campus training and off-campus internships; and, in terms of guarantees, improving policy guidance, diversified financing, and risk prevention mechanisms. It emphasizes that empowerment by AI should adhere to the principle of education for the people, and that future work should expand the application scenarios of generative AI and optimize the paths through empirical research to promote the high-quality development of elderly care professional education.
SN  - 3068-5664
PB  - Institute of Central Computation and Knowledge
LA  - English
ER  - 

@article{Dou2026Research,
  author = {Wenjie Dou and Qian Jia and Zhiwen Li and Zepeng Li},
  title = {Research on Paths of Artificial Intelligence-Empowered Education for Elderly Care Service Practitioners},
  journal = {Frontiers in Educational Innovation and Research},
  year = {2026},
  volume = {2},
  number = {3},
  pages = {116-127},
  doi = {10.62762/FEIR.2026.849704},
  url = {https://www.icck.org/article/abs/FEIR.2026.849704},
  abstract = {With the continuous deepening of population aging in China, talent education for elderly care services is confronted with a prominent imbalance between talent supply and demand, structural misalignment, homogenization of course content, and weak teaching effectiveness. With its powerful data processing, personalized services, and intelligent decision-making capabilities, artificial intelligence (AI) offers new opportunities for solving traditional training problems and promoting the reform and innovation of talent education. Based on clarifying the value of AI in empowering the education of elderly care service talents and its role positioning as an ``innovator, manager, and evaluator'', this article analyzes the current practical challenges: the shortage in the quantity of supply, the imbalance in the allocation of resources between urban and rural areas, the disconnection between course content and the demands of intelligent elderly care, the single teaching mode, and the risks of ``filter bubbles'' and the weakening of value rationality in the application of technology. It then puts forward practical paths: a shift from ``simple technological superposition'' to ``deep integration''; in terms of courses, building an intelligent curriculum system that integrates ``job, course, competition, and certificate''; in teaching, carrying out online--offline blended and virtual immersive teaching; in terms of teachers, creating a diverse and collaborative ``dual-qualified teacher'' team; on the platform side, building an open base that integrates on-campus training and off-campus internships; and, in terms of guarantees, improving policy guidance, diversified financing, and risk prevention mechanisms. It emphasizes that empowerment by AI should adhere to the principle of education for the people, and that future work should expand the application scenarios of generative AI and optimize the paths through empirical research to promote the high-quality development of elderly care professional education.},
  keywords = {artificial intelligence, education for elderly care professionals, high-quality development, integration of industry and education},
  issn = {3068-5664},
  publisher = {Institute of Central Computation and Knowledge}
}