On the English Classroom Teaching Mode of Primary School under the Background of Distance Education

Jia, Shi; Wang, Fei

doi:10.26689/jcer.v5i2.1837

Cited by 2 publications

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“…(2) According to formula (19), the evaluation value, i.e., w value, can be calculated to obtain the evaluation level of English classroom teaching in middle school, as shown in formula (20).…”

Section: Comprehensive Evaluation Resultsmentioning

confidence: 99%

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An Evaluation Method of English Teaching Based on Machine Learning

2022

Mathematical Problems in Engineering

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The evaluation of English teaching is becoming increasingly popular. An English teaching evaluation approach based on machine learning is developed in order to improve the accuracy of the English teaching evaluation and reduce the inaccuracy of the English teaching evaluation. Firstly, the specific meaning of the English classroom teaching evaluation is analyzed, the selection principle of the English classroom teaching evaluation index is designed, and the selection of the English teaching evaluation index is completed. Second, the machine learning technology is examined, and the analytic hierarchy process is used to produce the judgment of the English teaching assessment index. Then, using the principal component analysis, calculate the eigenvalues and eigenvectors of the evaluation indicators to determine the contribution of the English teaching quality assessment indicators. Finally, create the English teaching evaluation weight calculation model using the machine learning approach, and acquire the English teaching evaluation’s complete results using the fuzzy evaluation method. The experimental results show that when the number of iterations is 60, the normalized mean square error of the effectiveness of the method is 0.03, and when the number of tests is 30, the effectiveness of the method is 0.99; this shows that the method can improve the effectiveness of the English teaching evaluation. It can effectively reduce the error of the English teaching evaluation.

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Section: Comprehensive Evaluation Resultsmentioning

confidence: 99%

“…e selection of teaching evaluation indicators in class needs to be based on the real situation, about the overall performance of the teachers' teaching in class, avoid personal tendencies on some indicators, and select appropriate and fair indicators [20].…”

Section: Principle Of Authenticitymentioning

confidence: 99%

An Evaluation Method of English Teaching Based on Machine Learning

2022

Mathematical Problems in Engineering

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“…It is an important means of professional development for teachers and a link to strengthening the teaching force. It aims to enable all primary and secondary school teachers to receive quality educational resources, promote educational equity, and achieve the integrated development of distance education and continuing education [10][11]. Therefore, large-scale continuing education for teachers will certainly be aided by online methods.…”

Section: Introductionmentioning

confidence: 99%

“…Jun Wang. Applied Mathematics and Nonlinear Sciences, 9(1) (2024)[1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19] …”

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Construction and implementation of teacher support services model under “5G+Smart Education”

Wang

2023

Applied Mathematics and Nonlinear Sciences

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With the development of network technology, the convenience and flexibility of smart education have made it right to meet the needs of teachers’ professional development, which has led to its rapid development. As traditional smart campus data networks suffer from long construction periods, high costs, and poor flexibility of wired networks, existing wireless networks may suffer from audio delays, lagging, and other problems. Now with the addition of 5G networks, it is not only able to provide a new design concept and teaching method for modern teaching, but it is also of great significance to improve the comprehensive strength of schools and accelerate the construction and implementation of teacher support service models. In this paper, we investigate URLLC and eMBB multiplexing mechanisms in 5G, introduce the signal space diversity technique based on rotational modulation, and propose SSD-based URLLC and eMBB multiplexing mechanisms. The SSD-based URLLC and eMBB multiplexing mechanisms are validated through downlink-level simulations. The results show that the BER is improved by about 1.0dB at 10-6 orders of magnitude, and the BER is improved by about 1.0dB at 10-3 orders of magnitude under the simulation verification of the Rayleigh channel compared to the case without spatial diversity. In the simulation of the spatial diversity multiplexing mechanism of the TDL-A-1000 channel, the BER is improved by about 1.5dB at 10-6 orders of magnitude, and the BER is also improved by about 1.5dB at 10-3 orders of magnitude compared with the case without spatial diversity. In summary, the SSD-based multiplexing mechanism proposed in this paper can reduce data BER, improve data transmission reliability, and make the construction and implementation of the teacher support services model in smart education faster and more convenient.

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On the English Classroom Teaching Mode of Primary School under the Background of Distance Education

Cited by 2 publications

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An Evaluation Method of English Teaching Based on Machine Learning

An Evaluation Method of English Teaching Based on Machine Learning

Construction and implementation of teacher support services model under “5G+Smart Education”

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