Evaluation Model of Student Satisfaction in International Student Education Based on Neural Networks

Abstract

Artificial neural network (ANN) theory is a rapidly developing information science around the world. The Back Propagation (BP) network is one of many artificial neural network types. It is a multilayer feedforward network with sophisticated nonlinear mapping capabilities. It is actually a relatively complex and nonlinear comprehensive decision-making problem when taking into account the comprehensive evaluation of test scores based on evaluation indicators that reflect the quality of the test papers. The five major factors of education service quality are tentatively proposed in this paper, which uses a neural network to model and analyze it. This paper examines the five factors of the education service quality evaluation model one by one and analyzes the issues that exist in the education service quality of international students in China. According to empirical research, overall satisfaction with the quality of education service in Guangxi among foreign students in China is low, and subindicators of education service quality are unbalanced. This paper analyzes the reasons for this situation from the three levels of service consciousness, emotional investment, and professional quality and proposes that the main task of improving education service quality is to optimize the entire service process, in order to narrow the gap between foreign students’ expectations and actual perceptions of educational services.

Assessment Model Construction of International Students’ Intercultural Adaptation Based on Dual Attention Graph Convolutional Network

“…The construction of this model was based on the intelligent analytic method to pragmatic failure in cross-cultural communication. Wang and Gao [23] have suggested that Neural network-based student satisfaction evaluation methodology for overseas students studying abroad. The five primary factors that determine the quality of education services were modeled and analyzed using a neural network.…”

Examination of the Effect of Improving the Quality of International Students' Education

“…The five factors of the education service quality evaluation model were examined individually, and the problems existing in the education service quality of international students in China were analyzed. The empirical study shows that the overall satisfaction of international students in China with the quality of education services in Guangxi is low, and all the indicators of education level are low [1]. Wenxin Du (2019) explored how to strengthen the education management of international students in China, understand the problems, and put forward targeted countermeasures [2].…”