<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The cloud platform teaching system utilizes the optimized load balancing algorithm and DP algorithm to allocate and cluster massive teaching resources respectively, organize massive Chinese cultural knowledge scientifically and rationally into relevant network modules, and present it to English learners in a combination of graphic and text, audio and video. By investigating the selection of resource content and the quality of each functional module on the cloud platform, it can be found that the five primary cultural contents are generally well balanced, with the two that account for the most significant proportion of the content being cultural practices and cultural products, and the proportion of the other three varying little. Most students preferred the functional modules of Learning Center (84.3%), Resource Center, Extracurricular Paradise, and PK Pavilion, but only 12% preferred the Psychological Center module. The correlation coefficient between different factors and the intensity of Chinese culture penetration is the highest, 0.924. The average score of the degree of realization of the five teaching objectives in teaching practice is 3.838, close to “basically realized”. The scores of the four major dimensions of the university students increased significantly (p&lt;0.05). The most significant improvement was seen in the quality of thinking dimension, with a mean increase of 2.678 points.</p>
</abstract>

The cloud platform teaching system utilizes the optimized load balancing algorithm and DP algorithm to allocate and cluster massive teaching resources respectively, organize massive Chinese cultural knowledge scientifically and rationally into relevant network modules, and present it to English learners in a combination of graphic and text, audio and video. By investigating the selection of resource content and the quality of each functional module on the cloud platform, it can be found that the five primary cultural contents are generally well balanced, with the two that account for the most significant proportion of the content being cultural practices and cultural products, and the proportion of the other three varying little. Most students preferred the functional modules of Learning Center (84.3%), Resource Center, Extracurricular Paradise, and PK Pavilion, but only 12% preferred the Psychological Center module. The correlation coefficient between different factors and the intensity of Chinese culture penetration is the highest, 0.924. The average score of the degree of realization of the five teaching objectives in teaching practice is 3.838, close to “basically realized”. The scores of the four major dimensions of the university students increased significantly (p<0.05). The most significant improvement was seen in the quality of thinking dimension, with a mean increase of 2.678 points.

Analysis of the Integration Path of Chinese Traditional Culture in College English Education and Teaching under the Background of Big Data

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

The cloud platform teaching system utilizes the optimized load balancing algorithm and DP algorithm to allocate and cluster massive teaching resources...

Analysis of the Integration Path of Chinese Traditional Culture in College English Education and Teaching under the Background of Big Data

Online veröffentlicht: 03. Mai 2024

Seitenbereich: -

Eingereicht: 08. Apr. 2024

Akzeptiert: 24. Apr. 2024

DOI: https://doi.org/10.2478/amns-2024-0917

Schlüsselwörter
Cloud platform teaching, Load balancing algorithm, DP clustering algorithm, English education

© 2024 Tao Su, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Analysis of the Integration Path of Chinese Traditional Culture in College English Education and Teaching under the Background of Big Data

Online veröffentlicht: 03. Mai 2024

Seitenbereich: -

Eingereicht: 08. Apr. 2024

Akzeptiert: 24. Apr. 2024

DOI: https://doi.org/10.2478/amns-2024-0917

SchlüsselwörterCloud platform teaching, Load balancing algorithm, DP clustering algorithm, English education

© 2024 Tao Su, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Cloud platform teaching, Load balancing algorithm, DP clustering algorithm, English education