Abstract

When the rationality and importance of cultural education in colleges and universities have been confirmed, the key question is how to better realize cultural education. This requires an in-depth understanding and grasp of the cultural education work of colleges and universities, analyzing the internal logic contained in this education system and then discussing its practical rationale. This paper proposes a multiobjective Support Vector Machine (SVM) image recognition method for college cultural and educational behaviors based on three decision-making theories. Aimed at the problem of classification errors caused by image segmentation in image recognition of cultural and educational behaviors in colleges and universities, it is found that the reason that causes the same target to be divided into different subblocks is that the ordinary SVM classifier has only two choices of “yes” and “not” in classification. It is impossible to set the conditions for the classification of cultural and educational behavior images to satisfy all the existing conditions. In order to solve the above problems, this paper combines the three decision-making ideas with the image recognition of university cultural education behaviors and designs a multiobjective SVM image recognition method of university cultural education behaviors based on the three decision-making theories. We establish a higher education service quality structure model and use LISREL to explore the causal relationship among students’ perceived service quality, university image, student’s perceived service value, student trust, student satisfaction, and student behavior intentions in the field of higher education. The empirical results show that student satisfaction has a significant direct and positive effect on student behavior. Service quality has a significant direct and positive impact on perceived value and student trust. The perceived risk of higher education services determines the image of colleges and universities, and student trust plays an important role. The image of colleges and universities acts on student satisfaction through perceived value and student trust. The image of colleges and universities has a direct impact on students’ behavioral inclination, and it acts on students’ behavioral inclination through student trust and student satisfaction. Among the influences on behavior tendency, the direct positive effect of student trust is the largest, followed by the image of colleges and universities and the quality of service.

Highlights

  • With the general trend of artificial intelligence, its branch image recognition has received close attention

  • The image of colleges and universities acts on student satisfaction through perceived value and student trust

  • The image of colleges and universities has a direct impact on student behavior tendency, and it acts on student behavior tendency through student trust and student satisfaction

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Summary

Introduction

With the general trend of artificial intelligence, its branch image recognition has received close attention. With the continuous development of the social economy and the advancement of the popularization of higher education, the employment pressure of undergraduates in our country is increasing, and “difficulty in obtaining employment” has become a common situation in society [2]. In order to increase the employment rate of graduates, colleges and universities have strengthened the training of students’ professional skills to a certain extent. From a long-term perspective, professional education is important, but cultural quality education is indispensable. It should run through the whole process of college students’ training and education [3]. The core point of improving these is to strengthen the country’s cultural quality education

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