Online teaching system of Japanese translation course based on P2P network

Author(s):  
Yanhua Wang
2020 ◽  
pp. 1-13
Author(s):  
Yang Mei

Because the teaching methods of Chinese teaching in higher vocational colleges are improper and the problems in the teaching process cannot be found in time, the teaching effect is not good and there are many difficulties in the teaching process of teachers. According to actual needs, based on complex evolution and improved neural network algorithms, this paper builds a Chinese online teaching system in high vocational colleges. After communication with users and social research, the model function module is determined, and the system performance is improved through the mapping optimization model to eliminate data transmission problems in the system operation, and the realization process of the system function module is shown in the form of a diagram. In addition, this paper designs a control experiment to verify the performance of the model and uses the traditional algorithm model as a control to start the test teaching and uses statistical methods to compare the teaching effects. The research results show that the teaching system constructed in this paper has certain advantages over the traditional model.


2014 ◽  
Vol 687-691 ◽  
pp. 2411-2414
Author(s):  
Wen Lu Li

In the network teaching system, with the increasing teaching resources, student resources are increasingly difficult to find interesting, so join teaching resource referral service in online teaching system allows students freed from the vast network of information resources, greatly saving time and effort spent on students in search of information. Under these conditions and needs, educational resources referral service technology has been progressively developed. This article is recommended for Educational Resources Services referral service model, resource feature representation and recommendation algorithm based on machine learning and other key technologies were discussed and studied.


2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Huani Chen ◽  
Jian Huang

Nowadays, due to the pandemic and other problems, the establishment of physical classes is a big headache for both students and teachers, due to which the education system all over the world is shifted to the online system from the physical system. Advance technologies such as the Internet of Things (IoT) are playing a significant part in various sectors of life such as health, business, and education. In order to effectively improve the effect of online English teaching, this study designed an interactive online English teaching system based on the IoT technology. This study proposes three topological structures for the establishment of the proposed IoT-based online English teaching system. Based on the analysis of the three topological structures of the IoT, this study chooses to design each submodule of the front and back of the system in the network IoT environment to realize the daily operation and various functions of the system and to realize the interactive design of both of the teacher and student side. Based on this approach, an online English teaching system is designed, and the teaching quality based on this system is evaluated with the help of an algorithm known as grey relational analysis algorithm. The experimental results show that, after the application of this system, students have access to the teaching materials and content in a short period of time; and the English test scores were improved and were significantly higher as compared to the traditional teaching system. In addition, at the same time, the internal consistency reliability of the proposed system is very high which fully demonstrates the effectiveness of the proposed system.


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