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Quality Assessment of Vocational Education Teaching Reform Based on Deep Learning

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 teaching quality in vocational education in order t...

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Detalles Bibliográficos
Autores principales: Ni, Zai, Wang, Fei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9270111/
https://www.ncbi.nlm.nih.gov/pubmed/35813413
http://dx.doi.org/10.1155/2022/1499420
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author Ni, Zai
Wang, Fei
author_facet Ni, Zai
Wang, Fei
author_sort Ni, Zai
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description 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 teaching quality in vocational education in order to improve teaching quality. Artificial intelligence technology, particularly deep learning technology, can successfully handle this challenge because of the various and complicated aspects involved in the assessment of teaching quality. This article thus provides an evaluation approach for the quality of vocational education that is based on a thorough investigation. Finally, research has demonstrated that this approach is capable of objectively and fairly evaluating a teacher's teaching quality, increasing a teacher's teaching passion, improving a teacher's teaching quality, and nurturing extraordinary abilities.
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spelling pubmed-92701112022-07-09 Quality Assessment of Vocational Education Teaching Reform Based on Deep Learning Ni, Zai Wang, Fei Comput Math Methods Med Research Article 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 teaching quality in vocational education in order to improve teaching quality. Artificial intelligence technology, particularly deep learning technology, can successfully handle this challenge because of the various and complicated aspects involved in the assessment of teaching quality. This article thus provides an evaluation approach for the quality of vocational education that is based on a thorough investigation. Finally, research has demonstrated that this approach is capable of objectively and fairly evaluating a teacher's teaching quality, increasing a teacher's teaching passion, improving a teacher's teaching quality, and nurturing extraordinary abilities. Hindawi 2022-07-01 /pmc/articles/PMC9270111/ /pubmed/35813413 http://dx.doi.org/10.1155/2022/1499420 Text en Copyright © 2022 Zai Ni and Fei Wang. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Ni, Zai
Wang, Fei
Quality Assessment of Vocational Education Teaching Reform Based on Deep Learning
title Quality Assessment of Vocational Education Teaching Reform Based on Deep Learning
title_full Quality Assessment of Vocational Education Teaching Reform Based on Deep Learning
title_fullStr Quality Assessment of Vocational Education Teaching Reform Based on Deep Learning
title_full_unstemmed Quality Assessment of Vocational Education Teaching Reform Based on Deep Learning
title_short Quality Assessment of Vocational Education Teaching Reform Based on Deep Learning
title_sort quality assessment of vocational education teaching reform based on deep learning
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9270111/
https://www.ncbi.nlm.nih.gov/pubmed/35813413
http://dx.doi.org/10.1155/2022/1499420
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