Employment Of University Graduates Research Articles

The interdisciplinary curriculum alignment to enhance graduates' employability and universities’ sustainability

The employability of university graduates mainly depends upon the skillset they acquire through curriculum, subject specializations, and pedagogical practice. Contemporary analytical, big data-driven, and IT-based skills are imperative for supply chain graduates and business schools' sustainability. This study aims to provide directions and guidelines on the curriculum framework that offers an equilibrium of qualitative and quantitative skills for supply chain management graduates' employment and relative sustainability for universities. We utilized a three-pronged methodology to identify analytical, big data-driven, and IT-based skills. First, literature review was used to identify 18 criteria organized into 3 themes. Second, we conducted interpretive content analysis of the curricula of 38 Association to Advance Collegiate Schools of Business (AACSB) accredited supply chain management programs across the world. Third, in-depth interviews with 16 leading academics and industry experts were conducted to conclude the study and draw meaningful insights. Specific solutions aimed at combating the contemporary challenges and the implications of redesigning interdisciplinary curricula for students in specialized business programs – such as supply chains, logistics, and operations – are also offered. This research provides new insights to continuously improve interdisciplinary curricula, enhancing students' employability and contributing to universities’ financial sustainability.

Analysis of employment factors for university graduates in Kazakhstan

Having a university degree provides only a slight advantage over those without higher education, making other factors crucial in determining a graduate’s employment prospects. This study aims to analyze the factors that affect the employment of university graduates and define opportunities for public administration and university management in Kazakhstan. A logistic regression model based on primary data was used to examine the impact of the availability of practical experience and jobs in their specialty, social connections, technology development, and entrepreneurship on the likelihood of employment. The survey was conducted in 2022 and involved 300 graduates of the 2020–2021 academic year from all regions of Kazakhstan. Findings show that personal connections (F3) and technology and entrepreneurship (F4) positively impact graduates’ job prospects. However, lack of experience (F1) and the limited number of job offers (F2) reduce employment likelihood. If a graduate responds with 3 points for F1, 7 for F2, 7 for F3, and 1 for F4, they are less likely to secure a job in their specialty within a year of graduation. The main practical value of this study is that university career centers can use this model to predict the likelihood of graduates being employed. Providing a sophisticated online platform and different analytics-driven career services, open access to administrative data on the labor market, and new programs for students’ job experience and entrepreneurship will prepare university graduates for a dynamic labor market and reduce the mismatch between education and employment needs.

Review of the impacts of COVID-19 pandemic on the employment of college graduates in China and countermeasures to it.

The employment of college graduates has always been the focus issue of the whole society. Affected by the COVID-19, college graduates are facing a severe employment situation. In the present study, we explore the impacts of the COVID-19 on the employment of college graduates. We explore the employment promotion measures introduced by Chinese government and colleges and universities through a quick review and illustrate the difficulties that college graduates face. Furthermore, the present study explores the impacts of the COVID-19 on five aspects of the employment of college graduates: recruitment demand reduce, employment competition rise, employment channels change, psychological anxiety increase and employment structural contradiction intensify. In addition, we conclude that the employment promotion measures introduced by Chinese government and colleges and universities in respond to the impacts of the COVID-19 on the employment of college graduates have significantly promoted the employment of college graduates to a large extent and we provide implications based on the application of the study. The findings of the present study are of great significance for all countries worldwide to better cope with various similar emergency events, to alleviate employment pressure and to promote better and fuller employment of college graduates.

TALENT TRACK HUB

Talent Track Hub is a comprehensive web platform designed to streamline the college placement process by providing a centralized hub for students and administrators. The platform facilitates job postings, student registrations, and application management, enhancing the efficiency and transparency of the placement process. Talent Track Hub is a dynamic and user-friendly website designed to streamline the college placement process, serving as a centralized platform for both administrators and students. The platform empowers college placement cells by providing a seamless interface for posting job opportunities, managing applications, and fostering effective communication between recruiters and students. Talent Track Hub aims to bridge the gap between recruiters and students, fostering a transparency and efficient placement process. By leveraging technology, this platform enhances collaboration, simplifies administration, and ensures that students are well-informed and prepared for the opportunities presented by prospective admin cell. Talent Track Hub represents a paradigm shift in college placement processes, offering a user-friendly and efficient platform that benefits both students and administrators. By centralizing job postings, simplifying application management, and facilitating communication, the platform empowers students to navigate their professional journeys with confidence. The Talent Track Hub allows colleges to post detailed information about upcoming placement drives, including company profiles, job descriptions, eligibility criteria, and schedules. This ensures that students have access to up-to- date information and can prepare adequately for recruitment processes. Additionally, the platform enables colleges to list the latest job openings, providing students with a comprehensive view of available opportunities in real-time. For placement officers, the Talent Track Hub offers tools to monitor and manage the placement process efficiently. They can track student participation, manage company engagements, and generate reports on placement statistics. This data-driven approach allows for better decision-making and continuous improvement of the placement strategy. Recruiters benefit from the Talent Track Hub by gaining access to a curated database of qualified candidates, making the hiring process more targeted and efficient. The platform supports seamless communication between recruiters and colleges, facilitating the coordination of placement events and interviews. By integrating all aspects of the placement process into a single platform, the Talent Track Hub aims to foster a more dynamic and responsive ecosystem for campus placements. It empowers students with better access to job opportunities, equips colleges with effective placement management tools, and provides recruiters with a reliable source of potential hires. Ultimately, the Talent Track Hub contributes to the overall development and employability of college graduates, paving the way for successful career beginnings.

The Correlational Study of the Quality of Students Enrolled in the University and Employability of Graduates from Selected Universities in South-Western Uganda

The employability of university graduates is a concern for higher education stakeholders globally and Uganda is also concerned due to high unemployment rates post-graduation. Not much has been written about the relationship between quality of students enrolled in the university and their employability of graduates from selected Universities in South Western Uganda. This study aims to establish this relationship in selected universities in south western Uganda. A correlational study collected data from 512 participants, including graduates, employers, university lecturers, administrators, and officers from quality assurance directorate of national council for Higher Education. Data on students discipline, grades, performance and employability were collected. SPSS and Structural equation modelling (SEM) version 21 was used to analyse associations between predictor and outcome variables. The findings derived from conducting this research clearly demonstrate the presence of a significant statistical association between the quality of students enrolled in the university and employability of graduates at R= 0.589, R squared change 0.347, P =0.000 This suggests that by ensuring the quality of students enrolled in the University through discipline, students’ grades and performance increases the likelihood of producing graduates who are employable. It is very important that stakeholders in higher education make it a priority to keep a high standard of students and their moral fibre and this may facilitate their integration into the workforce.

Exploration of Factors Influencing Slow Employment

This article focuses on the causes and characteristics of the phenomenon of "slow employment" of college graduates and its far-reaching impact on individuals and society in the context of current social and economic development. Through a review of relevant literature and theoretical research, the article outlines the definition of "slow employment", i.e., the state in which some graduates, after completing their studies, choose to further their studies, internships, travels or other non-employment activities, or fail to find a suitable job for a long period of time.It is found that the phenomenon of "slow employment" is the result of multiple factors, such as the popularization of higher education, changes in the job market and personal values. The article constructs a research model, and through questionnaire survey and data analysis, explores the influence of individual perceived behavioral control, prior and posterior social capital, and educational environment on the willingness of "slow employment". The results show that factors such as personal behavioral control, family background, educational experience and social network affect graduates' employment choice and speed to different degrees.Eventually, the article puts forward a series of targeted solution strategies, including strengthening the employment guidance services of colleges and universities, optimizing the educational environment, and enhancing the individual's career planning ability, aiming to provide support for the smooth employment of college graduates, and at the same time, provide a scientific basis for the government and colleges and universities to formulate the employment policy, in order to promote the stable development of the social economy.

Investigating the relationships among the forced shift to remote learning, employability and work readiness of recent college graduates

Investigating the relationships among the forced shift to remote learning, employability and work readiness of recent college graduates

Constructing A Model of the Impact of Human Capital and Social Capital on the Employment Quality of Chinese University Graduates: Based on the Mediating Role of Career Development

Introduction: This article is based on the theories of human capital, social capital, social interaction, and collaborative governance. From the dual perspectives of human capital and social capital, combined with the mediating role of career development, it studies the factors that affect the quality of employment for university students and constructs a conceptual model to determine the mediating role of career development between human capital, social capital, and the quality of employment for university graduates. Through a large amount of literature and previous research theories, suitable employment quality indicators, human capital indicators, social capital indicators, and career development indicators were selected. This article reveals the influencing factors of improving the employment quality of university graduates, providing ideas for improving the employment quality of university graduates and promoting the improvement of the higher education system and the stable development of the social economy. Objective: It introduces a novel perspective on career development and explores the mediating role of career development in the impact of human capital and social capital on the employment quality of university graduates. This not only provides more objective and scientific guidance for university graduates' job values, self-awareness, and planning but also helps them better develop and cultivate their own human capital and social capital capability providing effective practical guidance. At the same time, it can provide objective analytical data for the reform of major settings in university education, the establishment of career courses, and the fair and reasonable formulation of employment policies, providing a new research perspective for studying the quality of employment of university graduates. Theoretical Framework: In the developmental stage, at least four economists have made outstanding contributions: Theodore W. Schultz and Gary Becker, Jacob Mincer and Edward Denison, respectively from different angles in different fields for the formation of the basic framework of the foundation, the modern sense of human capital theory was born, not only laid the theoretical foundation for the western education economics but also opened up a new field of western economics research. Method: The research of domestic and foreign scholars on the career development of university students is similar. Due to the differences in the focus, attention topics, and research methods, the dimensions of career development of university students are also defined differently. Results and Discussion: The theories of human capital and social capital have received attention and recognition from scholars as the basis for studying the quality of employment for university graduates. The impact of human capital and social capital on the quality of employment for university graduates is also significant. However, in existing research, there are not many studies that focus on the quality of employment for university graduates from the perspectives of schools and social governance, based on social interaction theory and collaborative governance theory. Specifically, there is a lack of systematic theoretical support and empirical exploration in exploring the impact of major differences and career development on the quality of employment for university graduates, and overall, it is still in the exploratory stage. Research Implications: The research results indicate that there is a significant correlation between career development, human capital, social capital, and the quality of employment for university graduates Originality/Value: This model is not yet tested in Chinese contexts.

Does the quality of the teaching have a relationship with the employability of University graduates?

Does the quality of the teaching have a relationship with the employability of University graduates?

From academia to industry: A framework to securely implement big data and AI to predict college graduates' employment trajectories

The transition from academia to industry can be unpredictable, but what if we could forecast college graduate employment outcomes with both accuracy and robust security? This study introduces an innovative framework that leverages secure data analysis and machine learning to predict the employment trajectories of college graduates. By integrating homomorphic encryption, we safeguard the privacy of sensitive personal and academic data while enabling complex machine learning operations. Our approach involves meticulous data collection, feature engineering, encryption, and model development, resulting in a robust model that addresses privacy concerns without sacrificing prediction accuracy. We demonstrate our model's superiority over traditional approaches, achieving a notable increase in both security and stability. This research illuminates the potential of encrypted data analysis in reshaping predictive modeling methods, offering insights for educational institutions, policymakers, and students. Our findings not only address a pressing issue in employment forecasting but also lay the groundwork for secure and ethical big data applications across various domains.

Analysis of factors affecting college students' employment in post-epidemic era and policy suggestions

In the post-epidemic period, with the global economic downturn, the employment concept and employment planning of college graduates have also changed under the influence of factors such as the expansion of the scale of college graduates, the contraction of labor demand and the deterioration of employment stability. The employment situation of college graduates is becoming more complex and severe. Based on the survey of college students in Nanjing Audit University, this paper analyzes the employment situation of college graduates at the present stage, and puts forward countermeasures and suggestions for promoting the employment of college graduates in the post-epidemic era.

GOVERNMENT POLICY IN THE YOUTH EMPLOYMENT IN MODERN KAZAKHSTAN

Today the problem of youth employment is very relevant. Over the years of independence, the country has adopted various state programs for the employment of the country's youth. This article will highlight the programs carried out to reduce youth unemployment and their results. Foreign studies that investigate this problem have also been studied. These works provide an analysis of measures to eliminate youth unemployment. Comparative and statistical research methods were applied. The article discusses the problems of unemployment of the modern youth of our country, as well as analyzes programs to address this issue. The study examined the Youth Corps Project (Zhasproject), and analyzed the results of the implementation of this program to reduce the unemployment rate of young people in Kazakhstan. The study assessed the effectiveness of the current state policy in the field of youth employment, analyzed state regulation and the importance of the welfare state in ensuring youth employment. The issues of employment of university graduates are considered, recommendations are given to improve the effectiveness of state regulation of youth employment in the future.

Modified method for college students’ career planning evaluation based on the probabilistic hesitant fuzzy multiple attributes group decision making

The employment of college graduates is related to the overall situation of China’s social development, and the difficulty of employment has become a social problem that cannot be ignored. Through the analysis of the current situation of employment, it is found that the lack of employment guidance in colleges and universities and the lack of employment concept of college students are important factors for the difficulty of college students’ employment, and college counselors play an irreplaceable role in college students’ career planning. Based on the characteristics of college counselors’ work, the paper constructs a career planning evaluation system, hoping to provide new ideas for counselors’ employment guidance. The college students’ career planning evaluation is a multiple attributes group decision making (MAGDM). Recently, the TODIM and GRA technique has been employed to manage MAGDM. The probabilistic hesitant fuzzy sets (PHFSs) are employed as a useful tool for depicting uncertain information during the college students’ career planning evaluation. In this paper, the probabilistic hesitant fuzzy TODIM-GRA (PHF-TODIM-GRA) technique is built to manage the MAGDM under PHFSs. At last, the numerical example for college students’ career planning evaluation is employed to show the PHF-TODIM-GRA technique. The main contribution of this paper is outlined: (1) the TODIM technique based on GRA technique has been extended to PHFSs based on CRITIC technique; (2) the CRITIC technique is employed to derive weight values under PHFSs. (3) the PHF-TODIM-GRA technique is founded to manage the MAGDM under PHFSs; (4) a numerical case study for college students’ career planning evaluation and some comparative analysis is supplied to validate the proposed PHF-TODIM-GRA technique.

Notice of completion and acceptance of the Ministry of Education’s supply-demand matching employment education project

In order to further improve the whole process management and result assessment of the supply-demand matching employment education project, the National College Graduates Employment and Entrepreneurship Steering Committee (hereinafter referred to as the National Steering Committee) decided to organize the first and second phases of the supply-demand matching employment education project Final acceptance work. See document notification for details. Before March 31, 2024, the person in charge of the project university shall submit the final materials to the enterprise. Before April 15, 2024, the project company will complete the project acceptance and submission, and send relevant materials: pdf version of the completion report, Attachment 2, and Attachment 3 (if any) to the email address of the relevant industry committee.

Classification Techniques Using Machine Learning for Graduate Student Employability Predictions

The issue of employability has gained significant importance, not only for graduate students but also for higher educational institutions. In this regard, employability prediction models using machine learning have emerged as crucial techniques for assessing students' potential to secure employment after graduation. Enhancing university graduate employability is critical because student unemployment is a global concern that has widespread negative effects on both individuals and institutions. Therefore, focusing on graduate employability predictions using machine learning techniques is considered essential in addressing this issue. Traditionally, demographic and academic attributes, such as CGPA, have been considered key factors in determining student employment status. However, research suggests that various other factors, such as student satisfaction, might influence employability. This study employs machine learning techniques to identify the factors that affect graduate student employability. The objective is to investigate the features significantly influencing students' ability to secure employment. Data was collected from Malaysia's Ministry of Education's graduate tracer study (SKPG). Several classification algorithms were applied, including Logistic Regression, Random Forest, Naïve Bayes, Support Vector Machine, Extreme Gradient Boosting, and Artificial Neural Networks (ANN). The results show that ANN achieved the highest accuracy, with around 80%. The findings also revealed that student demographic and academic features and student satisfaction level with the university facilities (e.g., library and counseling service) are considered significant for graduate student employability predictions. Consequently, the empirical results can help higher educational institutions enhance facilities and prepare students with the necessary skills for future employability.

Statistical Approach to Evaluating the Efficacy of Career Guidance Programs on University Graduate Employability in China

Statistical Approach to Evaluating the Efficacy of Career Guidance Programs on University Graduate Employability in China

The effects of trainers’ competence on employability of government polytechnic college graduates in Dire Dawa City, east-central Ethiopia

The need for competent and qualified trainers is of paramount importance for an effective technical training system that, in turn, helps to produce competent and employable graduates for the country’s economy. The purpose of this study is to investigate the effects of trainers' competence on the employability of polytechnic college graduates in Dire Dawa. The study employed a descriptive-correlational-explanatory research design with a quantitative research method. The sample for quantitative data consisted of 351 randomly selected graduates, trainees, trainers, and administrators. Both descriptive and inferential statistics were used to analyse the data. The findings revealed that trainers’ competence was positively correlated with graduates' employability. Specifically, predictors such as knowledge-related competence, assessment-related competence, skill-related competence, and managerial competence were found to have significant and positive effects on the employability of polytechnic college graduates in Dire Dawa. Therefore, the study recommends that the Dire Dawa city Labour Skill and Technology Development Bureau and Polytechnic colleges should give greater emphasis on improving trainers’ competence, which in turn enhances the employability of graduates.

INTRODUCTION INTO ELECTRONIC COMMERCE ENTREPRENEURSHIP IN THE UNIVERSITY COURSE USING VIRTUAL ENTERPRISES

Entrepreneurship education helps to promote the employment of university graduates and it might be implemented in various fields of business including e-commerce. It may be appropriate for future entrepreneurs in e-commerce to experience the development and management of an enterprise in a virtual form as part of their education. This article aims to demonstrate how are virtual enterprises used for instructional reasons in the university entrepreneurial course. This particular course allows its participants to experience the first phase of the existence of their fictitious e-commerce enterprises. Students establish and manage virtual limited liability businesses operating online stores. Electronic banking software allows the settlement of payments related to their e-commerce business activities. Pre-course and post-course surveys were conducted to investigate changes in students’ self-reported evaluation between these two moments. Results show significant improvements in all investigated entrepreneurial aspects of the course suggesting that the given approach of using virtual enterprises for entrepreneurship education positively impacts the entrepreneurial skills, knowledge, and experience of the course participants. This suggests that this design of using virtual enterprises can be a suitable way of implementation in the educational process of entrepreneurship in higher education institutions.

Exploration and Practice of College Students’ Career Guidance Program in the Perspective of Green China

Abstract The employment of vocational college graduates is a matter of social stability. In this paper, we first introduce modularized teaching in vocational college students’ employment guidance courses to unify the teaching of vocational college students’ career development and employment guidance courses. Secondly, in the preference analysis module, the WOA algorithm is used to optimize the selection of LSSVM parameters, and the WOA-LSSVM model adapted to the regression prediction of vocational college students’ employment preferences is proposed. Then, in the module of employment optimal matching, the Lagrangian conditional function extreme value is found in the discrete job data through the residual optimization algorithm, and the results of the optimal matching of vocational college students’ employment supply and demand are obtained. Finally, the overall situation and group differences in the intensity of employment pressure felt by vocational college students are analyzed. The results show that the maximum value of students’ employment pressure in the modular teaching of employment guidance is 128.28, the mean value is 0.02283, and the Std.Dev is 0.90383. The multivariate kurtosis coefficient decreases from 6.385 to 0.874, which is the critical value (c.r.). Decreases to 1.983<1.95, and the data are normally distributed. This study provides some references to enhance the career planning function of vocational college students’ career guidance courses.

A predictive model: A study of employment factors for fresh college graduates

The employment situation of fresh college graduates is affected by many factors. In this paper, on the basis of decision tree, the C4.5 method was used to analyze the employment factors of fresh college graduates. An improved C4.5 model was designed by simplifying the calculation formula of the C4.5 method and combining the error tolerance. Experiments were performed on the actual data of fresh college graduates. The results found that the practice level had a great impact on the employment of fresh college graduates, so the training of the practice level should be focused on before graduation. The results of the prediction models showed that the improved C4.5 method had a smaller training error than ID3 and C4.5 methods, a significantly higher prediction accuracy (88.39%), higher precision, recall rate, and F1 value, and a shorter running time (1.642 s); the improved model remained a high accuracy even when the data volume increased. The experimental results verify the reliability of the improved C4.5 model in predicting the employment situation of fresh college graduates. The model can be applied in actual employment guidance.