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

<p>This paper proposes to use knowledge mapping to construct a shared resource base for Chinese culture teaching to realize the optimization and innovation of Chinese culture teaching. The internal data and external data of the Chinese teaching resource base are obtained through two ways textbook informatization and automatic semantic annotation. Then the data are preprocessed to ensure the accuracy of the data in the resource base. On this basis, the LSTM-CRF model is used to identify the entity naming of the knowledge points of Chinese teaching resources. Then, the named knowledge points of Chinese culture teaching resources are integrated and stored to complete the systematic construction of the Chinese culture teaching resource base. The empirical analysis of the proposed resource base is carried out. The data present that the average oral score of the students in the photo group is 37.2583, while that of the students in the experimental group is 43.1465, and the difference between the average scores of the two classes is about 5 points, which is a large score difference. The two-tailed significance sig value is 0.005 if equal variances are used, and the two-tailed significance sig value is 0.008 if equal variances are not used, both of which are less than 0.05, indicating that the method of this paper has a positive effect on improving the speaking scores of the students of the comprehensive Chinese culture class.</p>
</abstract>

This paper proposes to use knowledge mapping to construct a shared resource base for Chinese culture teaching to realize the optimization and innovation of Chinese culture teaching. The internal data and external data of the Chinese teaching resource base are obtained through two ways textbook informatization and automatic semantic annotation. Then the data are preprocessed to ensure the accuracy of the data in the resource base. On this basis, the LSTM-CRF model is used to identify the entity naming of the knowledge points of Chinese teaching resources. Then, the named knowledge points of Chinese culture teaching resources are integrated and stored to complete the systematic construction of the Chinese culture teaching resource base. The empirical analysis of the proposed resource base is carried out. The data present that the average oral score of the students in the photo group is 37.2583, while that of the students in the experimental group is 43.1465, and the difference between the average scores of the two classes is about 5 points, which is a large score difference. The two-tailed significance sig value is 0.005 if equal variances are used, and the two-tailed significance sig value is 0.008 if equal variances are not used, both of which are less than 0.05, indicating that the method of this paper has a positive effect on improving the speaking scores of the students of the comprehensive Chinese culture class.

The Construction of a Shared Resource Base for Teaching Chinese Culture under the Architecture of Disciplinary Knowledge Mapping

Applied Mathematics and Nonlinear Sciences

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

This paper proposes to use knowledge mapping to construct a shared resource base for Chinese culture teaching to realize the optimization and innovation of...

The Construction of a Shared Resource Base for Teaching Chinese Culture under the Architecture of Disciplinary Knowledge Mapping

Online veröffentlicht: 03. Juni 2024

Seitenbereich: -

Eingereicht: 19. Feb. 2024

Akzeptiert: 26. Apr. 2024

DOI: https://doi.org/10.2478/amns-2024-1314

Schlüsselwörter
LSTM-CRF model, Knowledge graph, Resource base, Chinese culture teaching

© 2024 Youjing Wang, et al., published by Sciendo

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

The Construction of a Shared Resource Base for Teaching Chinese Culture under the Architecture of Disciplinary Knowledge Mapping

Online veröffentlicht: 03. Juni 2024

Seitenbereich: -

Eingereicht: 19. Feb. 2024

Akzeptiert: 26. Apr. 2024

DOI: https://doi.org/10.2478/amns-2024-1314

SchlüsselwörterLSTM-CRF model, Knowledge graph, Resource base, Chinese culture teaching

© 2024 Youjing Wang, et al., published by Sciendo

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

Schlüsselwörter
LSTM-CRF model, Knowledge graph, Resource base, Chinese culture teaching