College Student Management Research Articles

Coordinated Development of Civic Education and Student Management in Colleges and Universities Based on PLSPM Modeling

Abstract This paper constructs a satisfactory coordination and optimization model of ideological education and student management in colleges and universities, designs the relationship between ideological education and student management in colleges and universities, and establishes the index system as well as the mathematical model of coordinated development. Based on the modeling steps and the quantile effect of the PLSPM model, PLS path modeling is carried out using the Poor man method, and the PLS path model is empirically analyzed using the Patch method. Sample data on Civic Education and Student Management in colleges and universities were collected to conduct model testing and research hypothesis testing and to determine the coordinated development index of the university. The 452 valid data from Northeast Agricultural University are used as an example for the optimization analysis of the degree of satisfaction coordination between civic education and student management in colleges and universities and the values of the degree of satisfaction coordination between civic education and student management in the school are 0.876 and 0.769, which are both more than 70%, and the development is relatively good. The result of the satisfaction coordination index measurement is 0.847, which indicates that the school’s Civic and Political Education and Student Management are both developed in a coordinated manner.

Effective Integration of Ideological and Political Education and Student Management in Colleges and Universities Based on the Coupled Coordination Model

Abstract In keeping with contemporary demands, the integration of political and ideological education with student management empowers students to actively embrace the establishment of a superior ideological culture in a more open and laid-back learning environment. The creation of an extensive index system enables the integration and collaboration of political and ideological instruction and student management duties in colleges and universities. The theory of system coupling is used to discuss the level of synergy and consistency of system development. The subjective empowerment method uses the FIAHP technique to determine the subjective weight of the standard. The objective weight of the indicator is determined by using the pull-out grade method. The LPE-SMW coupling coordination model is constructed by combining the weights of the two indexes to solve the weights. The coupling coordination level is evaluated and examined in order to confirm the efficacy of the coupling coordination model in examining the development and integration between political and ideological education and student management in colleges and universities. The coupling degree of coordination in the eastern region is approximately 0.65, and the degree of coupling coordination of the LPE-SMW in the central region has a mean yearly increase of 0.43% over the 20 years, according to the results of the smoothness test of each variable of the LPE-SMW linking coordination degree model, which shows differences at the 1% level. The linking coordination model offers a fresh approach to the creation of successful integration between political and ideological education and student management in higher education by offering a thorough examination of the relationship between the two.

Coordinated Parenting of Civic Work and Student Management in Colleges and Universities Based on the Correlation Matrix in the Context of Informationization

Abstract In this paper, an association matrix is constructed based on a global self-representation model, and the problem of constructing an association matrix with sparse self-representation of samples and Laplace regularized least squares classifier are integrated to improve the model performance. Based on the block coordinate descent algorithm, iterative solving for each variable was performed to optimize the model, and then the decision-making model was constructed using the multi-objective decision-making algorithm in order to provide managers with appropriate educational and management program services. Finally, the influence of ideology and political education on students’ quality as well as college management is analyzed, and the way of correlation evolution between ideology and politics and student management is explored. The results show that ideology and politics have a positive influence on student quality, and the degree of influence on personal concepts as well as on the pursuit of knowledge and the establishment of goals is 0.75 and 0.8, respectively. The probability that a highly correlated and coordinated college or university with ideology politics and student management will remain in this rank in the following year is 65%, and the probability of downward or upward development is 20% in both cases.

Study on the Management of Chinese College Students Based on the Perspective of Career Planning

This dissertation centers on the theoretical discussion and countermeasure suggestions on career planning and employment guidance for Chinese college students. Through a comprehensive literature review, it analyzes the challenges faced by Chinese college students in the process of career planning, explores the problems of the existing career guidance model, and proposes effective management countermeasures. The study finds that Chinese college students' career planning is influenced by various factors, including individual quality, school education, and social environment. In order to better assist college students in their career planning, this paper puts forward a series of suggestions, covering the aspects of personal quality cultivation, school education reform, and improvement of the career guidance system, with a view to providing useful theoretical references and practical guidance for Chinese college students' career planning.

Exploration of an Innovative Model of Higher Education Management and Student Training Mechanism Based on Cognitive Mapping

Abstract In this paper, we use cognitive mapping for four-parameter Logistics model fitting computation and obtain personalized learning resource paths incorporating learners’ fuzzy cognitive mapping after eliminating the influence of blunders and guessing factors on learners’ cognitive assessment. After calculating peer similarity based on the cognitive map, the cognitive change trajectory is tracked, and learning resources are recommended iteratively until students become proficient. Based on the cognitive objective function and knowledge relevance, the cognitive mapping of education management of college students is constructed. The research on the mechanism of higher education management and student cultivation is analyzed from the goal of talent cultivation in colleges and universities. Statistical analysis is utilized to analyze the research on the mechanism of higher education management and student cultivation. The results show that the t-value of the regression results are all greater than 2, the regression results are significant, and its regression coefficient is 0.87, which means that all dimensions of the cultivation mechanism of colleges and universities have a positive impact on external employability. In terms of academic attitude, moral cultivation and academic norms, the supervisor has a greater role in influencing postgraduates, and its percentage values are 49.2%, 52.1% and 46.5%, respectively, and the mean values of the three dimensions are above 4.1, while the standard deviation values are above 1.0. This study provides basic references and effective suggestions to promote the continuous improvement of graduate student training quality and is of great significance to the innovation of educational management and student training mechanisms.

Coordinated Development of Civic Education and Student Management in Colleges and Universities Incorporating Principal Component Analysis Approach

Abstract This paper observes the relationship between variables that cannot be explained through the structure of variable explanatory variance-covariance and explores the method of applying the theoretical model of principal component analysis and factor analysis by using the method of hypothesis. After studying the scope of application of the principal component analysis method and factor analysis method, both of which can be used in the general model of comprehensive evaluation of variables, the scientific management approach of planned behavior for student management in the classroom of college and university civic education is proposed. By empirically analyzing the Civics learning management and education evaluation of students and teachers in L colleges and universities, the experimental results show that the cumulative contribution rate of the three principal components, namely, high moral character, perfect personality and good communication, is 87.4% as the main observed variables. In the cluster analysis of the Civics performance, the best Civics performance was found in the category 2 and category 1 students in college L, with a total of 9 students conforming to it. The four principal component factors of the first-ranked teachers did not differ much, respectively 1.6485, 0.4653, 1.7463, −0.645, except for the teacher numbered 1, who had a big difference in the ranking place under the two evaluation methods, and the rest of the teachers did not have any difference, and on the whole, the quality of Civic and Political education in College L was better, and the harmonization with the student management was good.

Research on the synergistic nurturing mechanism of ideological work and student management in colleges and universities under the binary structure

Abstract This paper takes the synergy between ideological work and student management in colleges and universities as an entry point, analyzes the intrinsic mechanism between the two, and gives the synergistic effect of parenting after the integration of the two. The synergistic mechanism between student management and ideological work is explored by mining students’ daily behavioral data, and after analyzing students’ daily behavioral data based on density-optimized clustering algorithm, risk warning detection of students’ academic situation is carried out by combining the improved LSTM model. The GCN network model is utilized to detect students’ psychological disorders. In order to verify the effectiveness of the method given in this paper for exploring the synergistic cultivation of ideological work and student management, quantitative analysis was carried out through the data of college students’ one-card. The results show that the movement data of college students are divided into 4 classes, of which the largest proportion of students is class cluster 4 is 44.59%, the risk prediction accuracy of the improved LSTM academic warning model is 0.731, and the GCN network model has a model loss value of about 0.25% after about 50 iterations when the threshold value is 0. Colleges and universities under the binary structure can narrow the value differences between students through data mining technology, and can help students remove psychological barriers, prompting the generation of a collaborative parenting mechanism between ideological work and student management in colleges and universities.

Research on the Path of High-Quality Development of Student Management under the Explanatory Structural Model Oriented to Solve the Dilemma of Collaborative Governance of Student Management in Colleges and Universities

Abstract This paper firstly studies the student management model, analyzes the mechanism of explaining the operation of the structural model, and proposes the DEMATEL method. Secondly, the ISM model is established on the basis of DEMATEL, and the cross-matrix multiplication method is introduced to explore the diffusion of interrelationships among factors in the system. And finally, the construction of the DEMATEL-ISM model is completed. Then, 11 experts were selected to set up an ISM group to construct the relevant reachability matrix after determining the key factors of the problem, and a multi-layer recursive order structure model was established based on the high-quality management influencing factors. Finally, an empirical examination was conducted to examine the overall effect of student management quality in S colleges and universities. Among the key factors of student management, classroom management was identified as the most critical factor affecting the quality of student management, with the ratio of the most important and the important summed up to 76.1%. Among the classroom student participation in higher education, the highest score was given to participatory behavior, with an interval between [2,5] and a mean value of 3.4808. The quality of student management in higher education was characterized by a high level of dissatisfaction among students and teachers, which was 41.94% and 51.28%, respectively. It can be seen that daily management, moral education, teacher management, and teacher competence are insufficient. Colleges and universities need to strengthen the construction of these 4 aspects and put forward relative coping strategies for the deficiencies that exist.

Integration Development of Civic Education and Student Management in Colleges and Universities Based on Combining Data Fusion Model in the Context of Exquisite Parenting

Abstract This paper focuses on the design of an educational early warning mechanism based on the fusion of ideological education and multi-featured data so as to manage the educational situation of students in colleges and universities efficiently and accurately. In this paper, the wavelet transform, discrete Fourier transform, and lag sequence analysis algorithms are used to effectively extract temporal features of students’ behaviors. PageRank and Hit’s algorithms are employed to extract features related to student concept maps. The emotional tendencies recognition interface provided by Tencent Cloud was used to obtain the emotional features of students’ speeches. Following this, a multi-feature fusion was performed to depict the students’ learning. A Hive-based data warehouse is used to integrate heterogeneous data from multiple sources. Finally, the education early warning model based on multi-feature data fusion is introduced, and the operation mechanism of early warning mechanism for ideological and political education in colleges and universities is established. To verify the effect of this paper’s model against other algorithms, this paper’s model achieves the optimal performance in the F1 score in negative samples, which is 0.91, followed by the TPA-LSTM algorithm, which is 0.88. Before the optimization of the early warning mechanism, the average per capita absenteeism of the students was 1.32 sessions, and the rate of disciplinary actions was 0.0291. At the end of the academic year, the average per capita absence rate decreases to 1.24 sessions, and the disciplinary action rate decreases to 0.0245.

Exploring Collaborative Parenting Strategies for Civics and Student Management in Colleges and Universities Using Multiple Data Chain Networks

Abstract In this paper, the multivariate data chain network is used to obtain the lexical sequence of Civics and Political Education, which needs to be labeled considering the convenience of research and analysis. According to the C-RTT algorithm can reduce the number of synchronization time slots required for fine synchronization of Civic and Political Network Teaching, use the Transformer encoder to assign and define the model parameters, and then construct the automatic scoring model with the theme of Civic and Political Work and Student Management. Starting from the content of the research and evaluation of the Civics and Political Science Program, the research variables and measurements are determined, and the research on the evaluation of the Civics and Political Science Program in colleges and universities is designed. Initial data for research and analysis are obtained by distributing questionnaires, and simulation analysis and statistical analysis are used to empirically analyze the Civics education combined with a multivariate data chain network. The results show that on the model analysis, the P value of the model in this paper can be up to 80.6, the R value can be up to 85.7%, the F1 value can be up to 83.2%, and the accuracy rate can be up to 82.4%, and the automatic scoring model with the theme of Civic and Political Work and Student Management has achieved good results. On the analysis of the Civics course, the mean values of the seven topics of student management are in the range of 3.78-4.18, and the standard deviations are all greater than 0.84. This study skillfully applies the theory of Civics to student management and ultimately helps the students to establish the correct three views.

The Reform and Innovation of Combining College Student Management and Ideological and Political Education

The amalgamation of civic and political education is the key to successful student management in colleges and universities, and its integration can bolster the management of students in these institutions. Instill ideological and political education in colleges and universities, thereby advancing both the physical and mental wellbeing of students. The amalgamation of professional and ideological/political knowledge can be augmented by it, thus augmenting students’ understanding of ideology and politics, and ultimately augmenting the ideological awareness of college students. The successful implementation of the aforementioned material necessitates the combined efforts of college instructors and scholars, aided by science and technology. Realizing the successful amalgamation of student administration and ideological instruction in universities and colleges. An examination of the correlation between student administration and ideological instruction in colleges and universities is the initial focus of the article, and the integration of these two elements is then evaluated for its worth. Analyzing student management and ideological education, strategies for cultivating students’ consciousness, and innovating teaching mode are then proposed to address existing issues. Enhancing the situation.

The Embedding of Ideological and Political Education in Student Management in Colleges and Universities in the Context of Informatization

Abstract This paper first analyzes the work content, mode, and characteristics of college management, explores the relationship and work development status of college ideological education and student management, and builds an effective integration system of college ideological education in student management under the background of informationization. Secondly, the detection algorithm is based on the similarity coefficient and detects behaviors, clusters these behaviors through the improved fuzzy C-mean algorithm and designs a behavior detection model in student management work. Finally, the student behavior detection model was applied to the fusion system, and the management model’s satisfaction was analyzed. The results show that the student’s course performance behavior, consumption level behavior, regularity behavior, and diligence behavior are good or above 0.82, 0.66, 0.85, and 0.78, respectively, and the percentage of students’ overall satisfaction with the management model above the more satisfied is around 0.7. The teaching management model based on the research in this paper can meet modern student management.

The Integration and Development of Ideological and Political Education and Student Management in Universities Based on Data Fusion Models under the Background of Three Comprehensive Education

Abstract Mental health management of college students is a crucial aspect of college student management. To this end, this paper extracts the characteristic sequences of consumption behaviors, including the number of consumption per week, the number of times of use breakfast, the number of times of deviating from the normal time of using breakfast and the number of times fetching water from the daily consumption records of students. Then, the best model MLSTM-FCN is selected from the different existing time series classification models. Aiming at the problem that the FCN branch has a small sensory field and can only run in one direction in the network structure of the MLSTM-FCN two-branch splicing, it is proposed to use a Transformer to replace the FCN branch so as to put forward a Trans-LSTM students’ psychological abnormality early warning model based on the classification of time series. Model. According to the model comparison, the Trans-LSTM fusion model F1 has the highest mean value. The value is 0.8245. Finally, in the psychological intervention based on ideology and politics for students with psychological problems identified by the early warning model, the results show that the individual’s pressure t=8.163, df=6, p<0.001, and the social environment pressure t=9.872, df=6, p<0.001, indicating that the subject’s mental anomalies can be classified based on the time series. 0.001, indicating a significant difference between before and after the intervention for the subjects.

Current Status of the College Counselors' Extracurricular Sports Activities under the Perspective of Three Complete Education

This paper investigates and analyzes the current situation of non-sports majors' participation in extracurricular sports in some undergraduate colleges and universities in Nanchang City and the extracurricular sports activities carried out by counselors by means of the literature method and the data statistics method. Colleges and universities are the main place to cultivate talents, and as the backbone of ideological and political education and management of college students, how to make full use of the important bonding power of counselors to realize all-embracing, whole process of cultivation, all-round cultivation of people, manage the extracurricular time of students, cultivate the moral cultivation of students, and develop a new way for the enhancement of the effectiveness of education in colleges and universities, and at the same time, provide a new platform for college and university sports cultivation mode.

Integration Development of Civic Education and Student Management in Colleges and Universities Based on Information Diffusion Modeling

Abstract This paper utilizes the idea of information diffusion to model the diffusion effect of information on civic and political education and categorizes the elements for the impact of the civic and political information diffusion system from the three levels of dissemination, acceptance and control. In order to verify the validity of the Civic and Political Information Diffusion Model, manipulative tests and empirical analysis are carried out. The results show that the breadth and depth of the Civic and Political Information Diffusion Model’s manipulability test Sig are significant. They are both less than 0.05, with significant differences. The specific factors affecting the integration and development of civic education and student management can be analyzed more intuitively from the three levels of dissemination, acceptance, and control. This shows that the use of the information diffusion model can provide an effective research direction for the development of the integration of civic education and student management in colleges and universities and lay a good foundation for the cultivation of high-level talents adapted to the development needs of the new era.

An Exploration of the Practical Path of Internet Civic Education in Student Management in Colleges and Universities Based on K-means Clustering

Abstract This paper first analyzes the path of network ideological education to boost student management and constructs a student management platform that integrates network ideological education using big data technology. Secondly, K-means clustering analysis is used to mine students’ campus behaviors, and the DPC algorithm combined with the improved AdaBoost algorithm is used to detect students’ academic anomalies so as to help schools better realize student management. Finally, performance testing and application analysis were conducted to verify the effectiveness of the student management platform that integrates online ideological education. The results show that when the number of concurrent users is 5000, the CPU occupancy rate and response time of this platform are 10.34% and 0.52 s. It is able to analyze and detect abnormalities in students’ campus behaviors and academic situations and encourage universities to analyze students’ situations through visual reports. This shows that the student management platform integrating network ideological education in the era of big data can promote the level of student management in colleges and universities.

The Embedding of Higher Education Innovation Theory in the Management of College Students in the Context of Informatization

Abstract This paper uses the BTM algorithm, which has been improved by word embedding and self-attention mechanisms, to analyze the degree of embedding of innovation theory in college students’ management. By analyzing the principle of attention mechanism and self-attention mechanism, it constructs the embedding analysis model for higher education innovation theory. By analyzing the cw2vec and word2vec models, the expression of innovation theory vocabulary is derived. Based on the improved BTM algorithm, the WESA-BTM model is applied to give higher weights to the subject words with higher subject contributions. Parameter solving, as well as derivation, were used to determine the impact of innovation theory on college students’ management follow-up. The results show that the improved BTM algorithm can effectively analyze the embeddedness of innovation theory in college students’ management, and the WESA-BTM model in Web Snippets is evaluated to be −573.26 at the number of topics of 20 and −561.71 at the number of topics of 40. This study improves the efficiency of college students’ management in colleges and universities to a certain extent.

书院制下辅导员思政工作研究

In recent years, with the expansion of university enrollments, there has been a continuous increase in the number of students. The traditional models of undergraduate training and student management in universities are now confronting various challenges. Academies have emerged as a novel educational management model, and several Chinese universities have gradually integrated academies into their systems. These institutions aim to realize a genuinely “student-centered” approach by applying innovative management and educational models. For counselors, who hold a crucial role in ideological and political education within universities, their responsibilities go beyond simple student management; their primary focus lies in the ideological and political education of students. The implementation of the academy system poses not only a challenge for counselors but also offers new opportunities for professional development. Therefore, addressing how to conduct ideological and political work effectively under the academy system has become an urgent issue warranting further investigation.

An Investigation of University Students' Management Practices Based on the Concept of People-centred Management

The concept of people-centred management plays an important role in the management of college students. This paper discusses the concept, characteristics and principles of the people-centred management concept, analyses the problems existing in the management of college students, and puts forward the practical strategies of college students' management based on the people-centred management concept, including the establishment of a good communication mechanism, the stimulation of students' autonomy and creativity, and the attention to students' mental health. These practical strategies help to enhance the effectiveness of college student management and promote the overall development and growth of students.

Research on the Innovative Path of Student Management in Universities-Based on the Perspective of Medical Intern Mentoring System

Universities are important professional talent training bases in China. Promoting the reform and innovation of student management in universities is a solid foundation and strong guarantee for cultivating talents of the new era who possess both moral integrity and talent, and are fully developed. Currently, the traditional management of college students lags behind, teachers lack enthusiasm for teaching, and students lack the ability to learn independently. In order to improve the level of student management and the quality of clinical internship teaching, this article focuses on the opportunities and challenges faced by university student management work, always adhering to the logical mainline of high-quality talent cultivation, and starting from the research background, existing problems, influencing factors, and countermeasures of the internship supervisor system, constructing a student-centered clinical teaching concept and establishing a diversified teaching quality evaluation system. It’s important to standardize the rules and regulations of the mentor system, innovate teaching ideas, improve the assessment and incentive mechanism of the mentor system for medical interns, continuously improve the hospital teaching system, establish a suitable teaching management system, enhance the effectiveness of university student management work, and serve the cultivation of high-quality talents.