The Optimization of Digital Art Teaching Platform Based on Information Technology and Deep Learning
The study aims to improve the daily teaching level of the school and make students enjoy better teaching methods. Firstly, the Internet of Things (IoT) and deep learning (DL) are deeply studied through information technology (IT). Secondly, the calculation methods based on the IoT and DL are analyze...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2023-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10258158/ |
| _version_ | 1797663066540736512 |
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| author | Yiying Liu Young Chun Ko |
| author_facet | Yiying Liu Young Chun Ko |
| author_sort | Yiying Liu |
| collection | DOAJ |
| description | The study aims to improve the daily teaching level of the school and make students enjoy better teaching methods. Firstly, the Internet of Things (IoT) and deep learning (DL) are deeply studied through information technology (IT). Secondly, the calculation methods based on the IoT and DL are analyzed, through which the research model is constructed. Finally, a digital teaching platform is established through the research model to conduct a real-time statistical survey of students and teachers. The results show that students are leading in the daily teaching process. According to the survey results, most students spend 3 to 4 hours in daily extra-curricular learning; 45% of them acquire knowledge mainly through classroom learning, and 23% through online learning. Their main difficulty in learning is learning ability, accounting for 48%. Moreover, it is an energy problem, accounting for 28%. 64% of students are passive learning, far more than 37% of active learning students. This study combines multiple fields across disciplines, such as IT, IoT, and DL. Digital art teaching platforms usually focus on creativity and performance, and combining IoT and DL can provide art students with a more personalized, real-time teaching experience, and promote the cross-application of digital art and cutting-edge technologies. |
| first_indexed | 2024-03-11T19:09:10Z |
| format | Article |
| id | doaj.art-6b0107c77b814367945ec83e66ac44c0 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-03-11T19:09:10Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-6b0107c77b814367945ec83e66ac44c02023-10-09T23:01:10ZengIEEEIEEE Access2169-35362023-01-011110728710729610.1109/ACCESS.2023.331812010258158The Optimization of Digital Art Teaching Platform Based on Information Technology and Deep LearningYiying Liu0Young Chun Ko1https://orcid.org/0000-0003-4664-1578College of Fine Arts and Design, Hunan City University, Yiyang, ChinaDepartment of Teaching Profession, Sehan University, Chonnam, South KoreaThe study aims to improve the daily teaching level of the school and make students enjoy better teaching methods. Firstly, the Internet of Things (IoT) and deep learning (DL) are deeply studied through information technology (IT). Secondly, the calculation methods based on the IoT and DL are analyzed, through which the research model is constructed. Finally, a digital teaching platform is established through the research model to conduct a real-time statistical survey of students and teachers. The results show that students are leading in the daily teaching process. According to the survey results, most students spend 3 to 4 hours in daily extra-curricular learning; 45% of them acquire knowledge mainly through classroom learning, and 23% through online learning. Their main difficulty in learning is learning ability, accounting for 48%. Moreover, it is an energy problem, accounting for 28%. 64% of students are passive learning, far more than 37% of active learning students. This study combines multiple fields across disciplines, such as IT, IoT, and DL. Digital art teaching platforms usually focus on creativity and performance, and combining IoT and DL can provide art students with a more personalized, real-time teaching experience, and promote the cross-application of digital art and cutting-edge technologies.https://ieeexplore.ieee.org/document/10258158/Information technologyInternet of Thingsdeep learningdigitizationteaching platform |
| spellingShingle | Yiying Liu Young Chun Ko The Optimization of Digital Art Teaching Platform Based on Information Technology and Deep Learning IEEE Access Information technology Internet of Things deep learning digitization teaching platform |
| title | The Optimization of Digital Art Teaching Platform Based on Information Technology and Deep Learning |
| title_full | The Optimization of Digital Art Teaching Platform Based on Information Technology and Deep Learning |
| title_fullStr | The Optimization of Digital Art Teaching Platform Based on Information Technology and Deep Learning |
| title_full_unstemmed | The Optimization of Digital Art Teaching Platform Based on Information Technology and Deep Learning |
| title_short | The Optimization of Digital Art Teaching Platform Based on Information Technology and Deep Learning |
| title_sort | optimization of digital art teaching platform based on information technology and deep learning |
| topic | Information technology Internet of Things deep learning digitization teaching platform |
| url | https://ieeexplore.ieee.org/document/10258158/ |
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