AIMC Topic: Vocational Education

Clear Filters Showing 1 to 7 of 7 articles

Application of AI and deep learning technology for IPE education under dual track cultivation model.

Scientific reports
This work intends to explore the effectiveness of a dual-track cultivation model for ideological and political literacy in vocational colleges driven by artificial intelligence deep learning models. This work compares the performance of different mod...

Impact of talent cultivation model for industry education integration in vocational education by artificial intelligence and BPNN.

Scientific reports
This study addresses persistent challenges in traditional talent cultivation models, including misalignment with industry demands, outdated instructional content, and limited depth in school-enterprise collaboration. To overcome these issues, the stu...

Extended Directed Fuzzy Social Network Analysis: A framework and application to curriculum networks in Chinese vocational education.

PloS one
Due to the differences in node types and the diversity of network relationships, Fuzzy Social Network Analysis (FSNA) needs to specifically address the issues of network heterogeneity and relationship ambiguity. To address this challenge, we propose ...

Reforming China's Secondary Vocational Medical Education: Adapting to the Challenges and Opportunities of the AI Era.

JMIR medical education
China's secondary vocational medical education is essential for training primary health care personnel and enhancing public health responses. This education system currently faces challenges, primarily due to its emphasis on knowledge acquisition tha...

Quality Assessment of Vocational Education Teaching Reform Based on Deep Learning.

Computational and mathematical methods in medicine
In my country, vocational training is an important part of the educational system. In my country's vocational education system, there is currently a conscious focus on reform and innovation. It is critical to undertake a thorough assessment of teachi...

The potential of socially assistive robots during infectious disease outbreaks.

Science robotics
Robots have a role in addressing the secondary impacts of infectious disease outbreaks by helping us sustain social distancing, monitoring and improving mental health, supporting education, and aiding in economic recovery.