Entrepreneurship Education Model Research Articles

A Moderated Mediation Model of Entrepreneurship Education, Competence, and Environmental Dynamics on Entrepreneurial Performance

This study explores the relationship between entrepreneurship education, entrepreneurial competence, and entrepreneurial performance, focusing on the moderating role of environmental dynamics under conditions of high and low environmental dynamics. Using SPSS 21.0 and Smart PLS 4.0 software, this quantitative research analyzed survey data from 424 college students in China who have started their own businesses. The results indicate that entrepreneurship education has a significant positive impact on entrepreneurial performance. Furthermore, environmental dynamics moderate the indirect effect of entrepreneurship education on entrepreneurial performance through entrepreneurial competence, with the indirect effect being stronger when environmental dynamics are high. The study also underscores the need for the sustainable development of entrepreneurship education, ensuring that educational programs evolve continuously to meet the changing demands of entrepreneurial environments. The findings highlight the importance of entrepreneurship education in fostering entrepreneurial competence and enhancing entrepreneurial performance. However, due to the cross-sectional design and self-reported nature of the data, the ability to draw causal inferences is limited. Future research should adopt longitudinal designs and objective performance measures to further investigate these relationships.

Research on Quality Evaluation of Innovation and Entrepreneurship Education in Colleges and Universities Under Big Data Environment

In innovation and entrepreneurship education, how to effectively use big data technology to improve the quality of education has become an urgent problem. In this article, the authors summarize the development of big data technology and its application background in higher education and point out the limitations of traditional education quality evaluation methods. They discuss the research status of the quality evaluation of innovation and entrepreneurship education in colleges and universities at home and abroad and the application of big data in education quality evaluation. Using the fuzzy comprehensive evaluation method, they constructed a quality evaluation model of innovation and entrepreneurship education in colleges and universities based on big data and proposed a corresponding evaluation process and index system. Finally, through empirical analysis, they verified the effectiveness and operability of the evaluation model. This research has theoretical and practical significance for improving the quality of innovation and entrepreneurship education in colleges and universities.

In Tandem with ChatGPT-4: How LLM Enhance Entrepreneurship Education and Business Model Innovation

In Tandem with ChatGPT-4: How LLM Enhance Entrepreneurship Education and Business Model Innovation

Entrepreneurship Learning: Implementation of Pancasila Values in Developing Higher Education Models

Purpose: The purpose of this research is to develop and evaluate a Pancasila-based entrepreneurship learning model for higher education, with the goal of integrating Pancasila values into entrepreneurial education to better prepare students for the demands of the global market. Objective: The objective of this study is to design and test an entrepreneurship learning model that embeds Pancasila values, aiming to enhance student engagement, innovation, and ethical practices. It seeks to identify implementation challenges and opportunities, and to provide practical recommendations for educators and policymakers, while contributing to the understanding of the impact of values-based education on entrepreneurial competencies. Theoretical Framework: This research is grounded in the principles of Pancasila, which encompass belief in God, humanitarianism, national unity, democracy, and social justice. These principles are integrated into the entrepreneurship education framework, emphasizing social responsibility, ethical decision-making, and innovation. The framework also incorporates theories of experiential learning, reflective practice, and competency-based education to foster holistic entrepreneurial development. Method: Interviews and focus groups will be conducted with key stakeholders, including students, lecturers, and industry partners, to gather in-depth insights into the effectiveness and challenges of the current entrepreneurship education model. Results and Discussion: The research is expected to reveal areas where current entrepreneurship education models lack integration of Pancasila values. It will discuss the benefits of incorporating these values, such as increased student engagement and ethical awareness, as well as challenges like resistance to change and the need for additional resources. The discussion will provide insights into how the new model impacts student learning and behavior, supported by quantitative and qualitative data. Research Implications: The findings have significant implications for higher education institutions, educators, and policymakers. They highlight the need for curriculum development that integrates national values, influence policy decisions to mandate such integration, and offer practical strategies for educators to implement values-based education effectively. The study also provides a foundation for further research on the impact of values-based education in various fields. Originality/Value: This research is original in its approach to integrating Pancasila values into entrepreneurship education, addressing a gap in the literature on values-based entrepreneurial learning. Its value lies in providing a novel model that not only enhances entrepreneurial skills but also instills ethical and social responsibility in students, preparing them for the global market while adhering to national.

A disaggregated view of soft skills: Entrepreneurship education systems of Africa

ABSTRACT Much of the literature on entrepreneurship education describes the teaching concept as a whole, which means that additional work must be done to tease out its individual components. Accordingly, this study focuses on soft skills—a core component of entrepreneurship education that represents entrepreneurial behaviors, attitudes, and attributes. It examines the mechanisms underlying soft skills and entrepreneurial readiness by drawing on a mediated model of entrepreneurship education and 300 observations on aspiring South African entrepreneurs. Regression tests reveal that while soft skills determine the entrepreneurial readiness of these entrepreneurs, their impact on their ability to start, innovate, finance, and grow new ventures is mediated by the entrepreneurial processes that define their entrepreneurial journeys. This has academic, policy, and social implications as it increases the importance of developing contextual insights into the facets of soft skills in an African country to inspire policy reforms that support African entrepreneurship.

Research on Innovation and Entrepreneurship Education Model for Computer Majors in Higher Vocational Colleges

Since the slogan “Mass Entrepreneurship, Mass Innovation” was put forward at the 2014 Summer Davos Forum, innovation and entrepreneurship education have gradually become an important trend of vocational education reform. Especially in these years, the employment pressure on higher vocational students is increasing, and the educational status of innovation and entrepreneurship education in the teaching of various majors in higher vocational colleges is becoming more and more prominent. The proper integration of innovation and entrepreneurship education and computer teaching can not only further improve the comprehensive ability of vocational students but also aid employment and career development. Based on this, this paper analyzes the path of innovation and entrepreneurship education in computer majors in higher vocational colleges to provide insights for educational experts and jointly contribute to the modernization and development of computer teaching in higher vocational colleges.

Research on the Sentiments of Innovation and Entrepreneurship Education in Universities—Based on Field Research in Fujian Province Universities

“Mass entrepreneurship and innovation” is a national strategy of China, aimed at stimulating the innovative potential and entrepreneurial vitality of the entire society to promote economic transformation and upgrading. The introduction of this strategy not only helps to drive economic growth and improve employment rates but also aids in cultivating innovative talents and enhancing national competitiveness. In response, Fujian Province has implemented a series of policy measures to support and encourage university students to actively engage in innovation and entrepreneurship activities. This study focuses on students from five types of institutions within Fujian Province, exploring their awareness of their universities' emphasis on innovation and entrepreneurship, and the number of related courses they have attended. It assesses the implementation of innovation and entrepreneurship education across different universities in Fujian, identifies existing disparities among various types of institutions, and proposes relevant countermeasures and suggestions to further develop the models of innovation and entrepreneurship education in universities within the province.

Designing a framework for entrepreneurship education in Chinese higher education: a theoretical exploration and empirical case study

Entrepreneurship education (EE) has rapidly evolved within higher education and has emerged as a pivotal mechanism for cultivating innovative and entrepreneurial talent. In China, while EE has made positive strides, it still faces a series of practical challenges. These issues cannot be effectively addressed solely through the efforts of universities. Based on the triple helix (TH) theory, this study delves into the unified objectives and practical content of EE in Chinese higher education. Through a comprehensive literature review on EE, coupled with educational objectives, planned behavior, and entrepreneurship process theories, this study introduces the 4H objective model of EE. 4H stands for Head (mindset), Hand (skill), Heart (attitude), and Help (support). Additionally, the research extends to a corresponding content model that encompasses entrepreneurial learning, entrepreneurial practice, startup services, and the entrepreneurial climate as tools for achieving the objectives. Based on a single-case approach, this study empirically explores the application of the content model at T-University. Furthermore, this paper elucidates how the university plays a role through the comprehensive development of entrepreneurial learning, practices, services, and climate in nurturing numerous entrepreneurs and facilitating the flourishing of the regional entrepreneurial ecosystem. This paper provides important contributions in its application of TH theory to develop EE within the Chinese context, and it provides clear guidance by elucidating the core objectives and practical content of EE. The proposed conceptual framework serves not only as a guiding tool but also as a crucial conduit for fostering the collaborative development of the EE ecosystem. To enhance the robustness of the framework, this study advocates strengthening empirical research on TH theory through multiple and comparative case studies.

Effectiveness Evaluation of Employment and Entrepreneurship Education Models in Colleges and Universities Based on Multiple Fuzzy Evaluation System

Abstract Employment and entrepreneurship education in colleges and universities is an urgent need for the national implementation of the innovation-driven development strategy and the promotion of economic quality and efficiency. In this paper, the entropy weight method is used to get the original index matrix for the evaluation of the effect of the employment and entrepreneurship education model in colleges and universities, and then the data are normalized to derive the weight value of the employment and entrepreneurship education model in colleges and universities. The fuzzy evaluation of the M college employment and entrepreneurship education model is derived by using multivariate fuzzy comprehensive evaluation according to the weight value. Lastly, the fuzzy evaluation of three colleges and universities in H is done using the fuzzy comprehensive evaluation model based on entropy weight and multivariate data. The experimental results show that B2 employment and entrepreneurship hard environment, B4 financial guarantee, and B9 student achievement evaluation of M colleges are all poor. After evaluating three colleges and universities in place H, it was found that the fuzzy evaluation results of students and experts in each index were consistent. The students of the 3 colleges and universities in place H were rated by employers in the areas of adventurous spirit, willpower, and crisis management at a score of 0.5-0.6 QC, which needs to be improved. Overall employers’ satisfaction with the entrepreneurial ability of students in these 3 colleges and universities is 0.69, 0.698, and 0.709, respectively, and the employment and entrepreneurship education model of colleges and universities in place H is effective.

The Integration of Resource-Based View, Experiential Learning Theory and Entrepreneurship Education Models as Triangulated Model in Cultivating an Entrepreneurial Mindset and Work-Based Learning Experiences as Strategies for Student Career Readiness.

This study analyzes the integration of Resource-Based View (RBV), Experiential Learning Theory (ELT), and Entrepreneurship Education Models (EEMs) to create an entrepreneurial attitude and boost student career preparation. The proposed triangulated model provides a comprehensive approach to promoting entrepreneurial mindsets and work-based learning opportunities. Using the Resource-Based View (RBV), students can identify and take advantage of their distinct resources, which cultivates a forward-thinking attitude essential for success in the contemporary professional environment. The field of ELT highlights the crucial impact of experiential learning on education, facilitating the creation of job-related learning opportunities that foster practical skills and knowledge necessary for entrepreneurial pursuits. Furthermore, EEMs offer a holistic viewpoint, recognizing the significance of people’s capacities and the surrounding context in attaining entrepreneurial achievement. This integrated strategy caters to the requirement of specialized programs that thoroughly equip students for the swiftly evolving job market, providing valuable insights for educators and institutions.

Research on Innovation and Entrepreneurship Education Mode of Vocational Colleges and Universities under Big Data Technology Oriented by Industry-Teaching Integration

Abstract This study explores applying big data technology in vocational colleges and universities’ innovation and entrepreneurship education model to improve the teaching effect and promote students’ innovation ability and employment competitiveness. The study includes theoretical analysis and empirical research to analyze the teaching mode, evaluation system, and its impact on the educational effect. The academic model using big data technology significantly improved students’ theoretical knowledge, professional research ability, innovation, and practice ability. This teaching model resulted in an average score of 90 points for innovative practice ability in classes, compared to the traditional education model, which was 27 points higher. The model also significantly improved students’ moral character, motivation, and learning behavior. The innovation and entrepreneurship education model of vocational colleges supported by big data technology can effectively enhance students’ comprehensive quality and innovation ability, which is significant to education reform and talent cultivation.

Research on Computer-aided Innovation and Entrepreneurship Education Model and Algorithm

Abstract With the rapid development of science and technology, computer-aided technology has been widely used in the field of education, but in the field of innovation and entrepreneurship education (Hereinafter referred to as IEE), there are still problems such as uneven distribution of resources and the disconnection between teaching content and actual needs. This paper puts forward a new model framework of computer-aided IEE, which is student-centered and practice-oriented. Through clear teaching objectives, rich course content, diverse teaching methods, and a scientific evaluation system, students’ innovative consciousness and entrepreneurial ability are comprehensively improved. The course covers innovative thinking, business models, market research, and other theoretical knowledge, and introduces virtual reality (VR) and augmented reality (AR) technologies to simulate the real entrepreneurial process and provide a practical platform. In the aspect of algorithm application, the research combines the content recommendation algorithm and collaborative filtering recommendation algorithm, constructs accurate user portraits by analyzing students’ learning behavior data, and matches them according to the characteristics of learning resources to recommend personalized learning resources for students. At the same time, the learning path optimization algorithm is developed, and the personalized and efficient learning path is planned by using the shortest path algorithm in graph theory to ensure that students can master the required knowledge in the shortest time. The experimental part designed a one-semester teaching experiment, and compared the differences between the experimental group and the control group in academic performance, learning participation, and satisfaction. The results show that the computer-aided IEE model significantly improves students’ academic performance, learning participation, and satisfaction, which verifies the effectiveness of the model. The research on the model and algorithm of computer-aided IEE proposed in this paper provides new ideas and methods for IEE, and helps to cultivate more high-quality talents with innovative thinking and entrepreneurial ability.

Research on Innovation and Entrepreneurship Education Reform of Electrical Engineering and Automation Professionals Driven by Big Data

Abstract The application of big data in various fields has become one of the important trends in the development of the information age, and in this context, educational reform in the context of big data has also become an important issue in the field of education. In this paper, we design a “four-in-one” innovation and entrepreneurship education model and combine the big data-driven algorithms, including association rules and clustering mining, to realize the driving of the education model. Specifically, the systematic clustering algorithm is used to analyze the students’ classroom performance, explore the association rules between the student’s classroom performance and their course grades, and finally, this paper applies the “four-in-one” education model to the classroom teaching of innovation and entrepreneurship courses to study the practical application effect of the model. The results show that after the cluster analysis of the student’s classroom performance data, three categories of students with different levels of classroom performance were formed, accounting for 49.46%, 41.68%, and 8.86%, respectively. After three applications of the new education model, the teacher’s participation in classroom speech, questioning, and silence decreased by 12.75, 5.47, and 3.54 percentage points, respectively. In contrast, the student’s speech and questioning rates increased from 5.86% and 10.98% to 8.37% and 19.84%, respectively. The “four-in-one” innovation and entrepreneurship education model designed in this paper has good practical application effects.

Research and analysis on the value path of innovation and entrepreneurship education based on SPSS statistical analysis modeling

Abstract In this study, the linear regression equation is used to express the quantitative dependence of the variables and variables of the value of innovation and entrepreneurship education, the regression equation is optimized based on the BP neural network, and the regression analysis model of innovation and entrepreneurship education is constructed, and the significance test of the equation is carried out through the ANOVA method. The large sample research method was used to obtain samples of research material for public innovation and entrepreneurial education value cognition, which were then analyzed using SPSS software. The differences in gender, age, education, and specialty on the value cognition of innovation and entrepreneurship education are investigated by ANOVA, and the model constructed in this paper is used to explore the influence of an individual’s social consciousness, innovation, and entrepreneurship environment and education on their value cognition of entrepreneurship education, to summarize the value path of innovation and entrepreneurship education. From the current situation of value cognition and difference analysis, the value cognition level of innovation and entrepreneurship education of the survey respondents scored 3.78, and the significance of attitude willingness and individual value cognition in the single-factor analysis of age was 0.048 and 0.024, which were less than 0.05, and age had a significant effect on the overall cognition level.

Quality Evaluation Model of Innovation and Entrepreneurship Education Based on Intelligent Genetic Algorithm under Virtual Reality Technology

Quality Evaluation Model of Innovation and Entrepreneurship Education Based on Intelligent Genetic Algorithm under Virtual Reality Technology

Research on Innovation and Entrepreneurship and Talent Cultivation Mode of College Students under the Background of Artificial Intelligence Technology

Abstract Based on artificial intelligence technology, this paper builds an innovation and entrepreneurship education platform for college students with the goal of improving their innovation and entrepreneurship spirit and ability. For faculty information, competition information, and other aspects related to the collection and analysis of student portraits. The use of a collaborative filtering algorithm allows students to receive personalized test questions while also modeling innovation and entrepreneurship competitions and creating a set of team-matching methods that utilize student portraits. Using hierarchical analysis to construct the evaluation system model of graduate innovation and entrepreneurship education, it can be analyzed that in the student portrait, when the students basically have no attendance, the assessment grade is also 0. Students who have participated in the innovation and entrepreneurship education platform have received salaries of more than 11K in 4 cities, while social workers have only received salaries of more than 11K in 1 city. Basically, more than 70% of those who agree with the learning mode of innovation and entrepreneurship platform and who are very interested in it are more than 70%. Resource allocation (0.3537) has the greatest influence on the cultivation of innovative and entrepreneurial talents, and the importance of constructing innovative and entrepreneurial resource allocation should be highly emphasized.

앙트러프러너십 교육을 위한 개념적 모형 개발

This study develops a conceptual model of entrepreneurship education that can be applied to elementary, middle, and high school settings. To this end, we adopted a development research methodology. We derived the core values of entrepreneurship as “creation, practice, insight, and reflection” based on the results of demand surveys, literature, and case analysis and reflected on the core values and basic principles of creating entrepreneurship. A conceptual model for ten education was developed. An expert review was conducted twice, first and second, targeting entrepreneurship experts and school teachers, and revisions, supplements, and improvements were added by collecting the review opinions of experts. At the same time, to ensure validity during the expert review process, it was verified using triangular verification, member checking, and deriving Content Validity Index and Inter-Rater Agreement values. Finally, a final conceptual model of entrepreneurship education was presented. This study is expected to help teachers who wish to provide entrepreneurship education in school settings understand the concepts of entrepreneurship and
 design lessons.

Does the face expression recognition model under the online entrepreneurial education model important for deep learning technologies and entrepreneurial emotions?

AI's rapid development has already affected the economy and society, and it might revolutionize how goods and services are manufactured and categorized. This affects the country's production, employment rate, and competitiveness. This research aims to determine how emotions (good and negative) impact deep learning technologies and company startup intentions. The research also examined how emotion recognition influences online entrepreneurship education and how deep learning and entrepreneurship are connected. In conclusion, the research is one of the pioneering efforts that provides a comprehensive grasp of deep learning and facial recognition in entrepreneurship. 78 of the 650 replies were insufficient, according to the statistics. Some individuals constantly picked 3, while others submitted blank questionnaires. The answer is inadequate. 572 surveys were utilized for the study. Positive emotions affect the urge to establish a company, according to the research. People who are generally happy may be able to develop their entrepreneurial expertise and be more driven to behave entrepreneurially. Positive and negative emotions have a significant impact on the deep learning technology and entrepreneurial intention connection. The findings imply that individuals who often experience pleasant emotions may be better able to improve their entrepreneurial cognition and, as a consequence, their drive to engage in entrepreneurial activity. The facial recognition model in entrepreneurship significantly moderates the relationship between deep learning technology and entrepreneurial intention (=0.262, p 0.001); hence, hypotheses 6, 7, and 8 are validated. This provides support for the hypothesized results, claiming that facial recognition plays a significant role in determining the relationship between deep learning technology and entrepreneurial intention. The results would be significant for university students, academicians, and policymakers as they seek to link practices and outcomes. The study is among the pioneers on issues related to deep learning mechanisms in eastern China.

Towards Quality Education: An Entrepreneurship Education Program for the Improvement of Self-Efficacy and Personal Initiative of Adolescents

In recent decades, youth unemployment has been the focus of attention of international and community bodies in the area of social rights. Specifically, there is a need to promote attitudes and skills to access employment, decent work, and entrepreneurship. The measures implemented have not been effective. In 2023, Spain had the highest youth unemployment rate in the European Union (29.6%). An improvement in the level and quality of education and training of young people would reduce their level of unemployment. Entrepreneurship education is, therefore, a necessary value in the society of the 21st century since it is a tool for the development and growth of the younger population. In the entrepreneurship education model proposed in this study for adolescents, we focus on the capacities of self-efficacy and personal initiative as precursors of entrepreneurial behavior. This paper analyzes the differences between the mean values of the variables before and after the implementation of the educational program and the influence or correlation between the variables. The main results are threefold: (i) the educational program implemented improves the mean values of the two variables analyzed; (ii) self-efficacy exerts a positive or direct influence on personal initiative, and (iii) the educational program improves or reinforces the positive influence of self-efficacy on personal initiative.

Developing a Creative Entrepreneurship Education Model to Enhance Student’s Creativity and Innovation for Successful Completion of the Independent Entrepreneurship MBKM Program

In this study, the objective is to develop an innovative educational model for fostering creativity and innovation in aspiring entrepreneurs using the "learning by doing" approach, specifically through practical business experiences. The aim is to cultivate creativity and innovation among students, equipping them with the skills needed for entrepreneurial endeavors. By integrating students' creativity and innovation into entrepreneurship education, the research aims to instill an entrepreneurial mindset and contribute to reducing the high unemployment rate among educated individuals in Indonesia. This research was carried out at Udayana University's Faculty of Tourism, focusing on alumni who had completed entrepreneurship courses. The study employed a descriptive and verification research approach, with data presented as percentages and detailed descriptions. A purposive sampling technique was utilized, targeting undergraduate students who had taken entrepreneurship courses, resulting in a sample size of 100 individuals. Structural Equation Modeling (SEM) analysis using the Lisrel 8.0 software was the chosen analytical tool. The SEM analysis revealed that the t-values for both student creativity (6.80) and student innovation (6.56) exceeded the critical t-value of 1.85 at a 5% error rate. This led to the rejection of the null hypothesis (Ho) and the acceptance of the alternative hypothesis (Ha).