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Design of Network Teaching Platform Based on Artificial Intelligence Technology
In recent years, the rapid development of network teaching has played an important role in the popularization of distance education in China. With the development of network technology, compared with the traditional teaching mode, network teaching platform has more and more obvious advantages, and h...
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Published in: | Journal of physics. Conference series 2021-04, Vol.1852 (4) |
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Main Author: | |
Format: | Article |
Language: | English |
Subjects: | |
Online Access: | Get full text |
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Summary: | In recent years, the rapid development of network teaching has played an important role in the popularization of distance education in China. With the development of network technology, compared with the traditional teaching mode, network teaching platform has more and more obvious advantages, and has become one of the important tools of teaching and learning. However, the traditional network teaching platform is lack of intelligence and interactivity, which can be compensated by artificial intelligence technology. Therefore, this paper puts forward the design and research of network teaching platform based on artificial intelligence technology. In this paper, the development of artificial intelligence platform, as well as the application of artificial intelligence platform, can greatly promote the development of artificial intelligence teaching platform. In this paper, according to the shortcomings of the existing network teaching platform, combined with artificial intelligence technology for optimization and improvement, through the optimization algorithm, simplified steps and other operations, further enhance the intelligence of the teaching platform. In order to further understand the application of network teaching platform in the actual teaching process in our country, this paper has carried out relevant investigation and research. The results show that 3.5% of the students who use the network teaching platform have a good use of the network teaching platform, and the results show that 3.5% of the college students use the network teaching platform in a week. |
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ISSN: | 1742-6588 1742-6596 |
DOI: | 10.1088/1742-6596/1852/4/042044 |