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

<p>Foreign-related rule-of-law personnel are an indispensable strategic resource for maintaining and expanding national interests, participating in the change of the international governance system, and providing important legal support for promoting the construction of a community of human destiny. This paper begins by outlining the objectives and strategies of training the foreign rule of law talents, describing the specific qualities of these talents, and establishing a “three-inone” foreign rule of law talents training model that integrates emerging information technology. The online learning big data platform for foreign rule of law talents provides the learning behavior data, which we weigh, process, and combine with the SHAP interpretable model to extract the learning behavior features. We used SMOTE to process data sampling imbalances and established a model for predicting student learning performance in combination with the XGBoost model. Additionally, we designed a comparative teaching experiment to analyze the teaching effect using the talent cultivation model. The SMOTE-XGBoost-SBD model yielded a coefficient of determination of 0.487, demonstrated a strong correlation between the predicted and actual performance, and yielded a SHAP value of 1.492 for the knowledge point mastery (C) characteristics of the foreign rule of law students. At the end of the teaching experiment, the mean value of the student’s performance in class A was 10.29 points higher than that in class B, and the average value of the student’s performance in class B was 10.29 points higher. The teaching experiment resulted in a mean score of 10.29 points higher for students in class A than for students in class B. 74.5% 7 of the students agreed with the “Trinity” foreign rule of law talent cultivation model. Using emerging information technology can foster the overall development of foreign rule-oflaw talents by integrating domestic and foreign legal resources.</p>
</abstract>

Foreign-related rule-of-law personnel are an indispensable strategic resource for maintaining and expanding national interests, participating in the change of the international governance system, and providing important legal support for promoting the construction of a community of human destiny. This paper begins by outlining the objectives and strategies of training the foreign rule of law talents, describing the specific qualities of these talents, and establishing a “three-inone” foreign rule of law talents training model that integrates emerging information technology. The online learning big data platform for foreign rule of law talents provides the learning behavior data, which we weigh, process, and combine with the SHAP interpretable model to extract the learning behavior features. We used SMOTE to process data sampling imbalances and established a model for predicting student learning performance in combination with the XGBoost model. Additionally, we designed a comparative teaching experiment to analyze the teaching effect using the talent cultivation model. The SMOTE-XGBoost-SBD model yielded a coefficient of determination of 0.487, demonstrated a strong correlation between the predicted and actual performance, and yielded a SHAP value of 1.492 for the knowledge point mastery (C) characteristics of the foreign rule of law students. At the end of the teaching experiment, the mean value of the student’s performance in class A was 10.29 points higher than that in class B, and the average value of the student’s performance in class B was 10.29 points higher. The teaching experiment resulted in a mean score of 10.29 points higher for students in class A than for students in class B. 74.5% 7 of the students agreed with the “Trinity” foreign rule of law talent cultivation model. Using emerging information technology can foster the overall development of foreign rule-oflaw talents by integrating domestic and foreign legal resources.

A 21st century-oriented model for the integration of foreign rule of law personnel and higher education in emerging technologies

East China University of Political Science and Law

Applied Mathematics and Nonlinear Sciences

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

Foreign-related rule-of-law personnel are an indispensable strategic resource for maintaining and expanding national interests, participating in the change of...

A 21st century-oriented model for the integration of foreign rule of law personnel and higher education in emerging technologies

Published Online: Aug 05, 2024

Page range: -

Received: Apr 11, 2024

Accepted: Jun 30, 2024

DOI: https://doi.org/10.2478/amns-2024-2103

Keywords
Learning behavior data, SHAP, SMOTE, XGBoost model, Foreign rule of law talent

© 2024 Guoyuan Zhang, published by Sciendo

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

A 21st century-oriented model for the integration of foreign rule of law personnel and higher education in emerging technologies

Published Online: Aug 05, 2024

Page range: -

Received: Apr 11, 2024

Accepted: Jun 30, 2024

DOI: https://doi.org/10.2478/amns-2024-2103

KeywordsLearning behavior data, SHAP, SMOTE, XGBoost model, Foreign rule of law talent

© 2024 Guoyuan Zhang, published by Sciendo

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

Keywords
Learning behavior data, SHAP, SMOTE, XGBoost model, Foreign rule of law talent