Affiliation:
1. Zhuhai City Polytechnic
Abstract
Abstract
In the teaching system based on online teaching technology, curriculum resource data and user registration information are expanding with the development of information technology. The most commonly used technology branch of online teaching technology is video teaching. Teaching through video is an important part of the classroom, and its quality will also affect the overall quality of online courses. At present, the key research direction of the industry is how to enhance the teaching effectiveness of the system based on improving the information quality of teaching videos. Under this background, this paper designs and constructs an online video course teaching system for higher vocational education by using fuzzy computing technology. Users can fully participate in the complete online teaching process when using this system, and the system can reasonably analyze students' error information in the learning process to specifically optimize and modify, so as to enhance the role of information circulation. The form of system aided teaching is realized through flow chart, which can provide the flow chart to users, and design code or draw flow chart based on the flow chart, so as to conduct error detection and further complete the prediction behavior for the teaching process. From the simulation experiment data, it can be concluded that the system is effective, its response time is 1.8s, and the average error rate reaches 0%, which effectively meets the expected design goals of the system. Using the idea of the system design, this paper puts forward online education strategies that can effectively assist the future development of higher vocational education. This paper designs a kind of online teaching system for higher vocational education by studying fuzzy computing technology.
Publisher
Research Square Platform LLC
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