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

<p>The primary task of education is to realize the goal of “establishing morality and educating people”, and to give full play to the role of the course ideology and politics Education, however, the degree of integration of the course ideology and politics Education in the current tourism management profession is not deep enough. In this paper, we start from the perspective of evaluation of the course ideology and politics Politics in the curriculum, use random search algorithm to optimize the hyperparameters of NN-Stacking algorithm, obtain the optimal hyperparameter configuration value based on the Leaky ReLU activation function to initialize the weights of the method, and construct the teaching evaluation methods of RG-UNNS and RG-CNNS, and at the same time, we use the coefficient of determination, the average absolute error, and the average error as the evaluation indexes to evaluate the effectiveness of the constructed methods. Evaluation indexes are used to assess the effectiveness of the constructed methods. In this paper, using the constructed teaching evaluation methods to evaluate the teaching effect of the course ideology and politics in the course of Tourism Management, 84.6% of the students were affected by the course ideology and politics education in the classroom of Tourism Management, and 42.35% of the students strongly agreed that this classroom improved their ability to link the theory to the practice, teamwork ability, independent learning ability, and professional literacy level.</p>
</abstract>

The primary task of education is to realize the goal of “establishing morality and educating people”, and to give full play to the role of the course ideology and politics Education, however, the degree of integration of the course ideology and politics Education in the current tourism management profession is not deep enough. In this paper, we start from the perspective of evaluation of the course ideology and politics Politics in the curriculum, use random search algorithm to optimize the hyperparameters of NN-Stacking algorithm, obtain the optimal hyperparameter configuration value based on the Leaky ReLU activation function to initialize the weights of the method, and construct the teaching evaluation methods of RG-UNNS and RG-CNNS, and at the same time, we use the coefficient of determination, the average absolute error, and the average error as the evaluation indexes to evaluate the effectiveness of the constructed methods. Evaluation indexes are used to assess the effectiveness of the constructed methods. In this paper, using the constructed teaching evaluation methods to evaluate the teaching effect of the course ideology and politics in the course of Tourism Management, 84.6% of the students were affected by the course ideology and politics education in the classroom of Tourism Management, and 42.35% of the students strongly agreed that this classroom improved their ability to link the theory to the practice, teamwork ability, independent learning ability, and professional literacy level.

Teaching Reflections on the Integration of the course ideology and politics into Tourism Management Majors in the Context of the Internet

Applied Mathematics and Nonlinear Sciences

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

The primary task of education is to realize the goal of “establishing morality and educating people”, and to give full play to the role of the course ideology...

Teaching Reflections on the Integration of the course ideology and politics into Tourism Management Majors in the Context of the Internet

Publié en ligne: 31 janv. 2024

Pages: -

Reçu: 20 déc. 2023

Accepté: 25 déc. 2023

DOI: https://doi.org/10.2478/amns-2024-0195

Mots clés
NN-stacking, UNNS algorithm, CNNS algorithm, Leaky ReLU, Teaching effect

© 2024 Xiaohong Jin, published by Sciendo

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

Teaching Reflections on the Integration of the course ideology and politics into Tourism Management Majors in the Context of the Internet

Publié en ligne: 31 janv. 2024

Pages: -

Reçu: 20 déc. 2023

Accepté: 25 déc. 2023

DOI: https://doi.org/10.2478/amns-2024-0195

Mots clésNN-stacking, UNNS algorithm, CNNS algorithm, Leaky ReLU, Teaching effect

© 2024 Xiaohong Jin, published by Sciendo

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

Mots clés
NN-stacking, UNNS algorithm, CNNS algorithm, Leaky ReLU, Teaching effect