Article Gold Open Access 2024

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
Journal · Vol. 9 · Issue 1 · Art. 20240195
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. © 2023 Xiaohong Jin, published by Sciendo.

Keywords

Author Keywords

Teaching effect CNNS algorithm Leaky ReLU NN-stacking UNNS algorithm

Index Keywords

Teaching Human resource management Students Tourism Evaluation methods Teaching effects tourism management Teaching evaluation CNNS algorithm Hyper-parameter Leaky ReLU NN-stacking Stackings UNNS algorithm
Author Affiliations
Jiaozuo Normal College, Jiaozuo, China
Funding & Acknowledgements
No funding information
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