Applied Mathematics and Nonlinear Sciences
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Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 8, Issue 2


Published
on

December 5, 2023


Pages


DOI

Article

Research on Artificial Intelligence Enabling High-Quality Development of Vocational Education

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Authors

Ming Kong Affiliation:
School of International Education, Yiwu Industrial & Commercial College, Yiwu, Zhejiang, 322000, China.
, Feilong Yu Affiliation:
School of Economics and Management, Yiwu Industrial & Commercial College, Yiwu, Zhejiang, 322000, China.
and Zhichao Zhang Affiliation:
School of Economics and Management, Yiwu Industrial & Commercial College, Yiwu, Zhejiang, 322000, China.


Abstract

This paper studies the use of artificial intelligence technology in the field of education and the way of empowering vocational education and constructs a wisdom teaching model of vocational education based on artificial intelligence. It also applies entropy weight and a fuzzy comprehensive evaluation model to determine evaluation indexes and weights, constructs a fuzzy relationship matrix, and synthesizes a fuzzy comprehensive evaluation model. Based on the model, the teaching effect of vocational education with artificial intelligence is studied, and the advantages of wisdom teaching in the creation of a learning environment and the triggering of students’ interest in learning, creative thinking and problem-solving ability are analyzed by comparing with traditional teaching methods. The results show that there is a significant difference between the effect of AI teaching and traditional teaching, p<0.05. For problem-solving ability, the average score of AI teaching students (M=4.049) is higher than the average score of traditional teaching (M=3.153), where t=14.745, p=0<0.05. The study is crucial for the utilization of artificial intelligence in education and the modernization and reform of teaching.


Keywords

Entropy weight method, Fuzzy comprehensive evaluation method, Relationship matrix, Pearson chi-square test, Vocational education, 97D10


Citation

Kong, M., Yu, F., & Zhang, Z. (2023). Research on artificial intelligence enabling high-quality development of vocational education. Applied Mathematics and Nonlinear Sciences, 8(2). https://doi.org/10.2478/amns.2023.2.01346

Published by: Engineering Journals

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