The application of big data technology in the innovation and effect analysis of art teaching mode in colleges and universities
In this paper, for the common behaviors of students in classroom teaching, deep learning and the improved student behavior detection algorithm based on YOLOv5s are used to transform the source data into another high-level and high-abstract data expression to realize the detection of students’ behavi...
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| Format: | Article |
| Language: | English |
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Sciendo
2024-01-01
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| Series: | Applied Mathematics and Nonlinear Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/amns.2023.2.01380 |
| _version_ | 1797340566844866560 |
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| author | Han Bing |
| author_facet | Han Bing |
| author_sort | Han Bing |
| collection | DOAJ |
| description | In this paper, for the common behaviors of students in classroom teaching, deep learning and the improved student behavior detection algorithm based on YOLOv5s are used to transform the source data into another high-level and high-abstract data expression to realize the detection of students’ behavior in class. Then, taking into account the real conditions of college students and the internal logic of deep learning and classroom teaching, we sort out the target conditions of college students’ deep learning and their brand-new requirements for college classroom teaching and innovate the art teaching mode in colleges and universities. The innovative art teaching mode is applied in the art classroom teaching of W College of Fine Arts, and the teaching effect is analyzed. The results show that the mean values of students’ evaluation in the five core literacy skills of image literacy, art expression, aesthetic judgment, creative practice, and cultural understanding increased by 12.6, 14.95, 17.66, 12.27, and 19.1 points after the innovation compared with those before the innovation. The above data show that the innovation of art teaching mode can enhance students’ motivation to learn and stimulate their creative passion, thus cultivating their creative ability, making students learn to inherit and carry forward the traditional culture of the Chinese nation, and enhancing their cultural self-confidence and national pride. |
| first_indexed | 2024-03-08T10:04:54Z |
| format | Article |
| id | doaj.art-a9109d936d7243ba8c71ee347e205494 |
| institution | Directory Open Access Journal |
| issn | 2444-8656 |
| language | English |
| last_indexed | 2024-03-08T10:04:54Z |
| publishDate | 2024-01-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Applied Mathematics and Nonlinear Sciences |
| spelling | doaj.art-a9109d936d7243ba8c71ee347e2054942024-01-29T08:52:42ZengSciendoApplied Mathematics and Nonlinear Sciences2444-86562024-01-019110.2478/amns.2023.2.01380The application of big data technology in the innovation and effect analysis of art teaching mode in colleges and universitiesHan Bing01Xinxiang University, Xinxiang, Henan, 453000, China.In this paper, for the common behaviors of students in classroom teaching, deep learning and the improved student behavior detection algorithm based on YOLOv5s are used to transform the source data into another high-level and high-abstract data expression to realize the detection of students’ behavior in class. Then, taking into account the real conditions of college students and the internal logic of deep learning and classroom teaching, we sort out the target conditions of college students’ deep learning and their brand-new requirements for college classroom teaching and innovate the art teaching mode in colleges and universities. The innovative art teaching mode is applied in the art classroom teaching of W College of Fine Arts, and the teaching effect is analyzed. The results show that the mean values of students’ evaluation in the five core literacy skills of image literacy, art expression, aesthetic judgment, creative practice, and cultural understanding increased by 12.6, 14.95, 17.66, 12.27, and 19.1 points after the innovation compared with those before the innovation. The above data show that the innovation of art teaching mode can enhance students’ motivation to learn and stimulate their creative passion, thus cultivating their creative ability, making students learn to inherit and carry forward the traditional culture of the Chinese nation, and enhancing their cultural self-confidence and national pride.https://doi.org/10.2478/amns.2023.2.01380deep learningyolov5sstudent behavior detectionimage literacyart teaching model97q80 |
| spellingShingle | Han Bing The application of big data technology in the innovation and effect analysis of art teaching mode in colleges and universities Applied Mathematics and Nonlinear Sciences deep learning yolov5s student behavior detection image literacy art teaching model 97q80 |
| title | The application of big data technology in the innovation and effect analysis of art teaching mode in colleges and universities |
| title_full | The application of big data technology in the innovation and effect analysis of art teaching mode in colleges and universities |
| title_fullStr | The application of big data technology in the innovation and effect analysis of art teaching mode in colleges and universities |
| title_full_unstemmed | The application of big data technology in the innovation and effect analysis of art teaching mode in colleges and universities |
| title_short | The application of big data technology in the innovation and effect analysis of art teaching mode in colleges and universities |
| title_sort | application of big data technology in the innovation and effect analysis of art teaching mode in colleges and universities |
| topic | deep learning yolov5s student behavior detection image literacy art teaching model 97q80 |
| url | https://doi.org/10.2478/amns.2023.2.01380 |
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