Application Scenarios and Framework Construction of Artificial Intelligence Technology in Higher Vocational Education

Abstract

In this paper, 114 higher vocational schools in X city are selected as the research object, and a questionnaire survey is conducted to find out the current situation of the teaching application of the key technology of artificial intelligence and the existing problems. The application of AI in higher vocational education is discussed in depth, focusing on personalized learning, automatic assessment of big data, and deep learning, and an AI education framework based on the three levels of the data layer, the deep learning layer, and the application layer. The model was utilized to implement educational practices and evaluate the effectiveness of teaching. After analysis, it can be seen that only 10% of teachers will adjust the purpose of teaching due to AI, and AI is mainly embodied in the form of tools in the teaching methodology scenario. AI is believed by 60.98% of teachers to enhance teacher-student interaction, and it has a significant impact on teaching evaluation. The teaching performance of AI was significantly better than regular teaching (Sig.=0.043).

Keywords

• personalized learning
• artificial intelligence
• educational framework
• automated assessment
• 97m80