Employment Of College Students Research Articles

Analysis of Employment Competitiveness of College Students Based on Binary Association Rule Extraction Algorithm

Today, assessing competition among college students in the job search is extremely important. However, various methods available are often inaccurate or inefficient when it comes to determining the level of their readiness for work. Conventional techniques usually depend on simplistic measures or miss out on crucial factors responsible for employability. The challenging characteristics of such competitive employment of college students are the lower levels of perceived stress, financing my education, and crucial professional skills. Hence, in this research, the Internet of Things Based on Binary Association Rule Extraction Algorithm (IoT-BAREA) technologies have improved college students' employment competitiveness. IoT-BAREA addresses this situation using a binary association rule extraction algorithm that helps detect significant patterns and relationships in large amounts of data involving student attributes and employment outcomes. IoT-BAREA positions itself as capable of providing insights into features that highly mediate the employability levels among students. This paper closes this gap and recommends a new IoT-BAREA method to help increase accuracy and efficiency in evaluating student employment competitiveness. Specifically, this study uses rigorous evaluation methods such as precision, recall and interaction ratio to determine how well IoT-BAREA predicts students' employability.

The Influencing Factors and Policy Recommendations for College Students Returning to Their Hometowns for Entrepreneurship

The development of higher education has provided many people with the opportunity to attend university, and the employment of college students should also be studied to attract social attention. Currently, further construction is needed in rural areas. The return of college students to rural areas can have a good effect and solve a large number of employment problems. As they are more motivated and have received education, they can play a role in knowledge and guide them to start businesses, which is helpful for economic development. College students need to change their mindset and help them realize their own value. This article analyzes the factors that still affect the return of college students to their hometowns for entrepreneurship, proposes policy suggestions, and provides reference for realizing the return of college students to their hometowns for entrepreneurship.

Research on Building a Five-in-One Entrepreneurship Education System for College Students in the Context of Double Creation

With the rapid development of higher education in China, the employment of college students has become a focal point for colleges and universities. The employment of college students is not only related to the national economic development and social stability, but also to the healthy, coordinated and sustainable development of higher education. The new situation of social and economic development has brought new challenges and opportunities for college students' employment. Under the background of "mass innovation and entrepreneurship", more and more college graduates choose to start their own business to realize their life ideals and values. This paper analyzes the focus of entrepreneurship education for college students under the background of double creation and builds a "five-in-one" education system from the five aspects of education concept, education content, education method, education platform and education practice of entrepreneurship education in colleges and universities, with a view to providing references for entrepreneurship education in colleges and universities.

Ideological and Political Education Is Effectively Applied in College Students’ Career Planning Education

With the common development of China’ s science and technology and economic level, the social demand for high-quality, high-level talents is also growing, so that China’ s high-tech talents are more and more scarce, college students’ competitive pressure is also increasing year by year, it can be seen that the employment problem of college students is increasingly prominent. College career planning is very beneficial to the employment of college students, and ideological and political education can improve the comprehensive quality of college students, thus laying an ideological foundation for the employment of college students.

Exploring the Impact of College Students' Future Time Insights on Career Decision-making Difficulties: A Big Data Technology-based Approach

Career decision-making difficulty is an important factor affecting the smooth employment of college students. Big data technology provides college students with more comprehensive, accurate and personalized career decision support, which helps them make more informed career choices and maximize their personal career development. Previous studies have shown that the Internet and digitization have significant information effect, which have important influence on the improvement of future time insight and career decision-making difficulties. Under the background of digitization, to explore the relationship between future time perspective and career decision-making difficulties of college students based on the Socioemotional Selectivity Theory, and to investigate the role of self-efficacy. 1092 college students were investigated by using the Scales. The result shows that the future time perspective predicts college students’ career decision-making difficulties negatively; Self-efficacy plays a mediation role between future time perspective and career decision-making difficulties. The research reveals the mechanism of future time perspective on college students’ career decision-making difficulties.

Optimized Multi-Scale Mixed Dense Graph Convolution Network for Career Impression Management in College Students Based on Social Network Analysis

This investigation attempts to increase success rate of employment, entrepreneurship by addressing the dangers that college students face when seeking work and starting their own businesses in rural areas. It offers a way of social environment analysis based on employment, entrepreneurship of college students in rural areas. This approach comprehends the employment and social environment of college students' rural employment, entrepreneurship as research goal. It thoroughly examines, detects component parts of the college students' rural employment, entrepreneurship environment. In this manuscript, Optimized Multi-Scale Mixed Dense Graph Convolution Network for Career Impression Management in College Students Based on Social Network Analysis (MSMDGCN-CIM-CS-SNA) is proposed. Initially input data are gathered from Xing social network Dataset. To execute this, input data is pre-processed using Distributed Adaptive Cubature Information Filtering(DACIF) and it removes the noise from collected data; then the Pre-processed data are fed to MSMDGCN for effectively categorize Career Impression Management in College Students. In general, MSMDGCN does not express adapting optimization strategies to determine optimal parameters to ensure accurate Career Impression Management in College Students. Hence, the Sand Cat swarms optimization(SCSOA) to optimize Quantum Conditional Generative Adversarial Network which accurately Career Impression Management in College Students based on Social Media.Then the proposed MSMDGCN-CIM-CS-SNA is implemented and the performance metrics like Student Origin; Proportion of Daily Living Expenses, Student’s Graduation Trend, Selection of Career Areas for College Students, Units of College Student’s Career Intention and Computation Time the World are analyzed. Performance of the MSMDGCN-CIM-CS-SNA approach attains 18.75%, 26.89% and 32.57% higher Student’s Graduation Trend; 16.87%, 24.57% and 32.94% lower Units of College Student’s Career Intention and 18.43%, 25.64% and 31.40% lower Computation Time when analyzed through existing techniques like analysis on social environment of college students’ rural employment with entrepreneurship (ASE-CS-REE), recommendation model for college career entrepreneurship projects depend on deep learning (RM-CCE-DL), group relationship mining of college students depend on predictive social network (GRM-CS-PSN) methods respectively.

How Pedagogical Modes Influence Students’ Employability: The Evidence from China

This study explores how two typical pedagogical modes, namely, problem-based and employment-based pedagogical mode, contribute to the employability of university and college students. Based on analysis of a total sample of 428 undergraduates from Chinese universities and colleges using structural equation modelling, the results show that students’ absorptive capacity was positively related to their employability. The employment-based pedagogical mode, considering the absorptive capacity as a partial mediator, was positively related to students’ employability. The problem-based pedagogical mode, considering the absorptive capacity as a complete mediator, was positively related to students’ employability. Absorptive capacity act as an important mediator variable when the employment-based and problem-based pedagogical mode influence students’ employability. Based on the findings, specific suggestions and managerial implications for higher education policy, manpower training, and future research are provided.

A Comparative Study of Employment Pressure Between American and Chinese College Students

With the increase of global economic uncertainty, geopolitical conflicts and the increasingly fierce competition between China and the United States, the world economy is slowly falling into a recession, and one of the serious problems caused by it is the employment of college students. According to relevant statistics, for China, the current unemployment rate of college students has reached a record high, in the United States, due to the large number of prestigious schools, but the U.S. domestic real economy is not so strong employment absorption capacity, so the United States graduating college students face the same employment pressure should not be underestimated. This paper analyzes the employment pressure of college students in China and the United States through a combination of qualitative analysis and case study method, and forms targeted policy recommendations on the basis of the analysis. The research in this paper can provide some support to the current research on college students' employment.

Risk Analysis of College Students' Entrepreneurship

As the employment of college students becomes more and more difficult, Many college students choose to start their own businesses after graduation. Self-employment of college students, apart from the initial capital risk, it will also face problems such as lack of social experience, mentality, vague understanding of entrepreneurship, and insufficient entrepreneurial rationality. College students can solve problems by understanding environmental changes, learning business management, mastering market trends and other methods and measures to promote the healthy development of college students' entrepreneurship.

Research on innovative teaching to enhance the employability of college students based on the “five Links and Six steps” method

A talent training model takes occupation as its guiding principle, the enhancement of students’ competitive ability with respect to employment as goal, and market demand as its operating platform. A six-step teaching method, including consultation, planning, decision-making, implementation, inspection and evaluation, was integrated into the practical ability training system, which consists of five steps: basic skills training, professional skills training, comprehensive skills training, comprehensive productive skills training and postjob practice. Combinations of study work and theory with practice were developed to improve college students' comprehensive vocational skills. Analytical research was conducted to investigate students' vocational skill scores using the Markov chain model, and the analysis and evaluation results of the teaching effects of the new and old teaching models were obtained. The research results showed that this method achieved good results and that the students’ mastery of basic knowledge, basic skills, professional skills, comprehensive skills and comprehensive productive skills improved.

Analysis on Employment Discrimination of Female College Students

With the increase of the number of college graduates year by year, it has become an obvious fact that the employment of college students is more and more difficult. As an important part of college students, the problem of difficult employment of female college students is more obvious. The problem of female college students being subjected to gender discrimination in the process of employment has gradually emerged. This paper first analyzes the current situation of employment discrimination of female college students, and carries out a theoretical explanation of their employment disadvantage, and finally puts forward relevant policy suggestions.

The Influence of College Employment Guidance on the Employment Ability of College Students in Conghua District, Guangzhou

The main purpose of this study is to understand the current situation and problems of college students' employability, analyze their influencing factors, and propose corresponding strategies to enhance their employability from the perspective of college students, in order to achieve the ultimate goal of helping college students improve their employability. This study adopts quantitative research methods such as literature review, questionnaire survey, and statistical analysis to study the content of the article. The research subjects are students and graduates from nine major universities in Conghua District, Guangzhou. This article mainly collects data through SoJump's online distribution of survey questionnaires. Through statistical analysis of the survey data, we understand the current situation of college students' employability, compare it with their training goals, and identify gaps and problems. Based on the research results of the employment ability model in the industry, combined with the training goals of professional talents, and referring to the employment standards and competency model of a large group enterprise for fresh graduates, a college student employment ability evaluation scale was constructed. The sample data was analyzed and processed using SPSS and structural equation modeling. As a supplementary study, this study has made significant contributions to the study of the impact of college students' employability, and has pioneered the use of structural equation models to verify the above hypotheses, filling the gap in many such studies that have not been validated using structural equation models.

Exploring the Path of Cultivating Employability of Medical College Students under Practice Orientation

With the continuous development of the medical industry, the employment situation of medical specialty college students is also gradually intensifying. Therefore, how to improve students' employability and competitiveness through a practice-oriented approach has become a problem that needs to be solved in medical specialty education. This paper proposes a four-point strategy based on practice orientation: providing rich internship and practical training opportunities, carrying out diversified scientific research projects, setting up relevant professional practice courses, and cultivating students' professional ethical qualities, to provide medical students with a perfect program for cultivating their employability and promoting the development and innovation of the medical specialty.

Research on Entrepreneurship Education of College Students

The employment of college students has always been an important concern of social development, and entrepreneurship education occupies a very important position in the employment process. This paper expounds the significance of entrepreneurship education for college students, and on the basis of analyzing the current situation of entrepreneurship education in China, summarizes some problems existing in the development of entrepreneurship education in Chinese colleges and universities, and puts forward several suggestions on how to carry out entrepreneurship education for college students.

A Study on the Collaborative Effects of Social Media in Job Searching for College Students

People don't have relatively equal jobs, so some people can't enjoy perfect medical facilities and good educational resources. Work is also part of people's lives in the 21st century, and promoting sustained, The United Nations Sustainable Development Goals' eighth objective is to achieve inclusive and sustainable economic growth, full and productive employment, and decent work for all. It is essential that the world now is in the post-epidemic era of economic recovery. In this article, this study discusses the employment problems arising transition from the epidemic era to the post-epidemic era. In addition to the findings of investigation, it is suggested that the National and provincial governments should concentrate on employment trend in real time, provide timely economic and employment technical support, enhance the methods of entrepreneurship and employment of college students' methods of entrepreneurship and employment, and cooperate with social media platforms to help college students find a decent job.

Improvement of Employment and Entrepreneurship Ability of College Students in Higher Vocational Colleges and Universities under the New Situation of Artificial Intelligence

Abstract This paper first established a multiple linear regression model and estimated the model parameters using the least squares estimation method. Then, it analyzes the employment and entrepreneurship abilities of college students in higher vocational colleges and universities and analyzes the differences in the level of employment and entrepreneurship ability of students in different grades. Then, the impact of artificial intelligence technology on employment and entrepreneurship ability was analyzed in combination with relevant measurement indexes at home and abroad, and finally, based on the results of the analysis, the strategies for improving the employment and entrepreneurship ability of college students in higher vocational colleges were proposed from multiple aspects. The results show that for every 1% increase in the level of AI technology, the total number of people employed in the labor employment market rises by 0.48, and the employment income rises by 6.56. This study has certain reference significance for balancing the “positive effect” and “negative effect” brought by the development of artificial intelligence on labor and employment, and provides realistic and feasible basis for the introduction of employment policy and talent development policy adapted to the development of artificial intelligence.

A graph-theoretic analytical study of the influence of ideological and political education on the mentality of employment and entrepreneurship of college students

Abstract According to the actual education situation in colleges and universities, revealing the ideological and political education and employment and entrepreneurship mentality characteristics, selecting the research object and designing the questionnaire based on the research objectives. The questionnaire was formally distributed to obtain research data for this paper, and then the reliability test was conducted on it. Comprehensive research data, Pearson’s correlation coefficient, multiple linear regression model and graph theory were used to jointly explore the influence of ideological and political education on the employment and entrepreneurship mentality of college students. The results show that the Pearson correlation coefficients of virtual practicability (D1), interactive subjectivity (D2), latent permeability (D3), technological iterative (D4) and employment and entrepreneurship mentality (D5) are -0.079, 0.129, 0.043, -0.196, respectively, and the corresponding regression equations are, college students’ employment and entrepreneurship mentality = 0.359 + 0.188*virtual practicability (D1) + 0.158*interactive subjectivity (D2) + 0.147*subliminal permeability (D3) + 0.179*technological iterative (D4). It intuitively demonstrates the influence of ideological and political education on college students’ employment and entrepreneurship mentality, deepens people’s cognition of the relationship between the two, and promotes the development of education and talent cultivation in colleges and universities.

The Effective Path of High-quality Employment for College Students under the Perspective of “Internet+”

Abstract The rapid development of higher education has made the social supply far greater than the social demand, which has created the problem of difficult employment for college students. The implementation of the national strategy of strengthening human resources and the healthy development of a harmonious society is facilitated by solving the employment problem of college students. In this study, we first constructed a model of college students’ employment through factor analysis and explored the key factors that affect the employment quality of college students. The keywords were used to extract the hotspots of corporate recruitment and to extract measurement variables such as GPA scores. Factor analysis was used to find out the potential variables, extract the effective factors greater than 1, name and number the principal component factors, and identify the items with the highest correlation of each principal component factor, respectively. The model of this paper was validated through exploratory and validation analyses on the obtained data, which were consistent between the validation and exploratory samples. The actual value of X² was 0.7312, which was in line with the evaluation criteria. The evaluation criteria are met by the values of the other five indicators. The model’s high fit and scientific construction are reflected by it. This paper integrates factor analysis with the exploration of college students’ employment pathways, providing a set of application models that can be used as a reference.

The Infiltration and Integration of the Concept of Ideological and Political Education in the Employment of College Students in the Era of Big Data

Abstract This paper studies integrating and penetrating the concept of Civic and Political Education in the employment guidance of college students to improve the effect of employment education in the context of big data. This paper uses genetic algorithm and projection tracking method to construct a measurement and evaluation model of Civic and Political Education and employment integration level. It is found that the coupling degree between Civic and Political Education and student employment in college A has increased year by year from 2010 to 2023, showing the effective integration of Civic and Political Education and jobs. The coupling degree risen from 0.136 in 2010 to 0.987 in 2023, indicating that the penetration and integration of Civic and Political Education in employment increased significantly. Strengthening the integration of Civic and Political Education and Employment Guidance can help improve the quality of student employment and student employment satisfaction. This study provides empirical support for integrating civic and political education and employment guidance in colleges. It confirms the importance and effectiveness of civic and political education in employment guidance in colleges and universities in the era of big data.

Quantitatively analyzing the college student employment policy in China based on PMC-index model.

The employment policies targeted at university graduates, which are exceedingly valuable to the national human resource, are closely related to the national economy and people's livelihood. The employment policies for college students are essential pathways for promoting high-quality job placement for graduates, making the review and evaluation of relevant policies exceedingly significant. This study analyzes the university-student employment policies issued between 1997 and 2023; the researchers utilize text mining and content analysis and refer to the policy indicators designed by existing scholars to develop an evaluation index for college student employment. A PMC index model was constructed to quantitatively evaluate 9 selected policy samples. The results indicate that P5, P6, and P7 have good consistency ratings; P8, P4, and P9 have acceptable consistency ratings; and P2, P3, and P1 have low consistency ratings. The average score for the 9 policy samples is 5.03, reflecting an overall satisfactory quality of China's college student employment policies. By constructing a PMC surface, the model visually reveals certain deficiencies in China's college-student employment policies in regard to policy design, policy tools, and policy content. This study provides countermeasures and proposals from aspects such as policy nature and policy measures.