Research on Artificial Intelligence Enabling High-Quality Development of Vocational Education
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 evaluati...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2024-01-01
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| Series: | Applied Mathematics and Nonlinear Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/amns.2023.2.01346 |
| _version_ | 1797340531755319296 |
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| author | Kong Ming Yu Feilong Zhang Zhichao |
| author_facet | Kong Ming Yu Feilong Zhang Zhichao |
| author_sort | Kong Ming |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-08T10:04:25Z |
| format | Article |
| id | doaj.art-22cfea777a5546769c1f3670359b2726 |
| institution | Directory Open Access Journal |
| issn | 2444-8656 |
| language | English |
| last_indexed | 2024-03-08T10:04:25Z |
| publishDate | 2024-01-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Applied Mathematics and Nonlinear Sciences |
| spelling | doaj.art-22cfea777a5546769c1f3670359b27262024-01-29T08:52:42ZengSciendoApplied Mathematics and Nonlinear Sciences2444-86562024-01-019110.2478/amns.2023.2.01346Research on Artificial Intelligence Enabling High-Quality Development of Vocational EducationKong Ming0Yu Feilong1Zhang Zhichao21School of International Educational, Yiwu Industrial & Commercial College, Yiwu, Zhejiang, 322000, China.2School of Economics and Management, Yiwu Industrial & Commercial College, Yiwu, Zhejiang, 322000, China.2School of Economics and Management, Yiwu Industrial & Commercial College, Yiwu, Zhejiang, 322000, China.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.https://doi.org/10.2478/amns.2023.2.01346entropy weight methodfuzzy comprehensive evaluation methodrelationship matrixpearson chi-square testvocational education97d10 |
| spellingShingle | Kong Ming Yu Feilong Zhang Zhichao Research on Artificial Intelligence Enabling High-Quality Development of Vocational Education Applied Mathematics and Nonlinear Sciences entropy weight method fuzzy comprehensive evaluation method relationship matrix pearson chi-square test vocational education 97d10 |
| title | Research on Artificial Intelligence Enabling High-Quality Development of Vocational Education |
| title_full | Research on Artificial Intelligence Enabling High-Quality Development of Vocational Education |
| title_fullStr | Research on Artificial Intelligence Enabling High-Quality Development of Vocational Education |
| title_full_unstemmed | Research on Artificial Intelligence Enabling High-Quality Development of Vocational Education |
| title_short | Research on Artificial Intelligence Enabling High-Quality Development of Vocational Education |
| title_sort | research on artificial intelligence enabling high quality development of vocational education |
| topic | entropy weight method fuzzy comprehensive evaluation method relationship matrix pearson chi-square test vocational education 97d10 |
| url | https://doi.org/10.2478/amns.2023.2.01346 |
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