Psychological Motivations of Students for Book Borrowing in Libraries of Higher Vocational Colleges from the Perspective of “Three Comprehensive Education”

As the basic concept of higher education, the three comprehensive education is a reliable guarantee for strengthening and improving moral work in higher education, which is a complex of talents meeting the requirements of the times, and “universal education” is a comprehensive training for students to improve their cultural and spiritual moral level to meet the requirements of future social consumption. In order to study the comprehensive reform and development of moral education in universities, this paper reviews and standardizes the formation and development of comprehensive reform in universities, which is closely related to the development of comprehensive reform: strengthening the interconnection of systems in the process of training all employees, strengthening the effective interaction between cultures in the whole process, and ensuring the complete organic integration of cultures. The authors propose a solution for the comprehensive reform of “three-completion education” in universities. The authors offer some reasonable suggestions for the development of moral education in colleges and universities.

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“…e impact of multiple ideologies in the international society on the moral education of universities needs to be addressed urgently [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Realistic Problems and Practical Paths of “Three-Wide Education” in Higher Education Based on Text Analysis and Mining

Yin

Ling

2022

Mathematical Problems in Engineering

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“…The impact of multiple ideologies in the international society on the moral education of universities needs to be addressed urgently [1][2][3]. The continuous development of China's economic globalization, cultural pluralism, network informatization and big data application has made college students suffer from the impact of various western cultural trends in the context of globalization, and in the stormy international environment, if we want to guide college students to continue to carry forward positive ideology and discard negative and backward corrupted ideas, we must establish a full, full and all-round work mechanism of moral education [4].…”

Section: Introductionmentioning

confidence: 99%

Realistic Problems and Practical Paths of "Three-Wide Education" in Higher Education Based on Text Analysis and Mining

Tianyu Gao

2024

jes

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"Three complete education" is a powerful attempt to meet the requirements of the times. Students must have high quality, and they are compound talents who meet the requirements of the times "Universal education" is to provide students with comprehensive training to improve their cultural level and spiritual and moral level to meet the requirements of future social competition. To study the comprehensive reform and development of the moral education in universities, this paper reviews and standardizes the formation and development of the comprehensive reform in universities, which is related to the development of the comprehensive reform from three aspects: strengthening the system interconnection in the process of all staff training, strengthening the effective interaction between cultures in the whole process, and ensuring the complete organic integration of cultures. It puts forward a solution to the comprehensive reform of "three complete education" for universities. Provide some reasonable suggestions for the intensive development of moral education in universities.

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Monitoring and Evaluating College Students' Mental Health Based on Big Data Analysis

2022

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Objectives: Our aim was to overcome the low evaluation accuracy of traditional random sampling methods for college students' mental health, and to use the values of big data of college students' social network behaviors in the prediction and evaluation of their mental health. Methods: We monitored and evaluated college students' mental health through big data analysis. After generating the samples of college students' social network behaviors, a mental health monitoring and evaluation model was established based on a support vector machine (SVM) and decision tree (DT). Then, the DT model was pruned, and input data of the model were optimized by genetic algorithm (GA). Results: The optimal parameter combination was derived for our model. The maximum number of iterations was 60; the smallest number of samples needed for reclassifying internal nodes was 6; the number of samples with the fewest leaf nodes was 30. The mental health scores of most students fell in the interval [0, 6] for unobvious symptoms of mental crisis. The binary classification results of several models were as follows. On anxiety, all models surpassed the accuracy of 60%, except the traditional SVM. The optimal model, ie, Model 5, achieved an accuracy of 86.7%. On depression, all models exceeded the accuracy of 60%, and the GA-optimized DT 5 realized an accuracy as high as 83.1%. On drooping spirit, the optimal model, ie, GA-optimized DT 5, reached an accuracy of 89.5%, which is comparable to that of the GA-optimized SVM 4. Conclusions: The characteristic dimensions extracted by GA are representative. The primary mental states of college students can be estimated quickly and accurately by our model with a low cost of data storage, through the feature analysis of social network behaviors.

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Psychological Motivations of Students for Book Borrowing in Libraries of Higher Vocational Colleges from the Perspective of “Three Comprehensive Education”

Cited by 3 publications

References 20 publications

Analysis of Realistic Problems and Practical Paths of “Three-Wide Education” in Higher Education Based on Text Analysis and Mining

Analysis of Realistic Problems and Practical Paths of “Three-Wide Education” in Higher Education Based on Text Analysis and Mining

Realistic Problems and Practical Paths of "Three-Wide Education" in Higher Education Based on Text Analysis and Mining

Monitoring and Evaluating College Students' Mental Health Based on Big Data Analysis

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