University Innovation Research Articles

Research on the Teacher Team Construction of Innovation and Entrepreneurship Education in Higher Vocational Colleges and Universities under the Background of “Double Creation” Upgrading

Abstract With the promotion of “dual-creation” education, higher vocational colleges and universities face the challenge of building faculty. This study explores the strategies for making the faculty of innovation and entrepreneurship education in the context of “dual-creation”. The study adopts the evaluation model based on Backpropagation neural network. It proposes targeted construction strategies by analyzing the teaching process, teacher conditions and teaching effect of innovation and entrepreneurship courses. The results show that by optimizing the construction path of the faculty team, the teaching effect of innovation and entrepreneurship courses is significantly improved, the proportion of students participating in entrepreneurial practice has increased by 40%, and the number of declared innovation patents has increased by 47.6%. In addition, the percentage of rejuvenation of the teacher team grew by 10%, and the professional ability of teachers was significantly improved. Artificial intelligence technology such as neural network optimizes the path of teacher team construction for innovation and entrepreneurship education in higher vocational colleges and universities, which can effectively improve the quality of teaching and the professional ability of the teacher team.

Research on Management Innovation in Colleges and Universities Based on the Concept of Knowledge Management

Abstract In the era of the knowledge economy, colleges and universities, as knowledge-intensive units, urgently need to seek a new management model that meets the requirements of the times, supports the high quality of teaching, and helps colleges and universities to realize sustainable development. Based on this demand, this paper focuses on the concept of knowledge management to innovate the existing management mode and takes the construction of a knowledge-sharing system, the establishment of a knowledge innovation incentive mechanism, the development of organizational learning, and the creation of knowledge alliance as the specific implementation strategies. Using the multi-level gray correlation evaluation method and fuzzy comprehensive evaluation method, we evaluate the actual effects of the knowledge management strategy of colleges and universities in this paper. The multi-level gray correlation evaluation method is used to assess the knowledge management level of 60 colleges and universities, and the results of their scoring order are compared with the reference order. The order-preserving test parameter δ=0.0446<0.1 indicates that the basic trend of this paper’s sorting is consistent with the reference sorting, which verifies the practicality of the knowledge management evaluation system for colleges and universities constructed in this paper. Taking the university H, which implements the knowledge management strategy of this paper as an example, the five levels of the evaluation set V={excellent, good, medium, poor, very poor} are assigned a value of 5~1 respectively, and the final evaluation score of university H is 3.9394, and its knowledge management level tends to be excellent. This paper’s knowledge management strategy has a positive implementation effect and can be a valuable reference for knowledge management innovation in colleges and universities.

DEVELOPMENT OF INCLUSIVE EDUCATION AS A COMPONENT OF THE PEDAGOGICAL MANAGEMENT SYSTEM OF A PRIVATE INNOVATIVE UNIVERSITY

The article is devoted the peculiarities of inclusive education development in the Republic of Tatarstan and the role of Kazan Innovation University (KIU) named after V.G. Timiryasov as a basic educational organization for the devel- opment of methodology and technologies for inclusive education. The results of a survey carried out by the Research Institute of Pedagogical Innovations and Inclusive Education of KIU together with the Ministry of Education and Science of the Republic of Tatarstan in the field of teachers’ readiness to implement inclusive approaches in educa- tion are presented. The author focuses on the need to transform the formalized management approach to managing a private innovative university into a human-centric approach, implying recognition of the uniqueness and value of all participants of educational process.

Sustainable Development and Operational Mechanism Innovation of Educational Management Paths in Colleges and Universities in the Digital Era

Abstract With the continuous integration of digital technology in daily life, the management path of colleges and universities also carries out development and optimization. The triple helix theory of education management model innovation in colleges and universities is the basis of this paper, which builds a model for education management innovation led by schools. An evaluation index system for college education management quality was constructed, taking into account the quality effect demand of education management. On this basis, combining the hierarchical method and cluster analysis method to calculate and classify the weights of the indicators of educational management in colleges and universities, and evaluating the quality of educational management in colleges and universities through the fuzzy comprehensive evaluation method to complete the construction of the indicator system of quality of educational management in colleges and universities. After examining the performance of the evaluation model and the rationality of the indexes, it is applied to the educational management examples to explore the sustainable development path of the educational management path in colleges and universities. The results show that the overall index coefficient is 0.875 and greater than 0.6, and the comprehensive evaluation score of the actual management quality of the triple helix educational management is 4.6826 points out of 5, which verifies the validity and reasonableness of this paper based on the triple helix educational management innovation model. The sustainable development of educational management is positively impacted by its scientific guidance on the innovative direction of university educational management models.

Knowledge-Oriented Leadership, Psychological Safety, Employee Voice, and Innovation

Aim/Purpose: The truism is that leadership fosters or restricts innovation behaviours in organisations, but the extent to which it does depends on the leadership style in practice. This study focuses on one of the contemporary leadership styles, knowledge-oriented leadership [KOL], which has received scant attention in research. In doing so, the contextual factors of psychological safety [PS] and employee voice [EV] were applied to determine how KOL influences are channeled to innovation at the individual level. Methodology: Data were collected from 347 academic staff in public universities in Southern Nigeria and subjected to a partial least square [PLS] analytical procedure for data treatment and hypotheses testing using the SmartPLS 3 software for variance-based structural equation modelling. Contribution: The study formed an integrated research framework that links knowledge-oriented leadership and innovation by accounting for the contextual mechanisms of psychological safety and employee voice. Findings: The PLS results demonstrated that the knowledge-oriented leadership and innovation relationship was positive and significant, and this relationship was partially mediated by two variables, namely, PS and EV. Furthermore, the two mediating variables channeled KOL’s influence on innovation in a sequence. Recommendation for Researchers: Organisations need to consider the practical application of KOL to improve innovation outcomes considerably. By this, leadership training programs should include modules, courses, or topics on KOL to engender the formation of requisite managerial skills. More so, they should consider the criterion of demonstrable KOL abilities for leadership selection and recruitment. As a personal development initiative, managers can attend leadership development programmes as well as obtain certification in knowledge management to improve their KOL abilities. This initiative should be encouraged and supported by organisations. In all, the human resource management framework should be responsive to the dynamics of the knowledge economy regarding leadership. Given that PS and EV function as mediators, organisations should actively cultivate an environment enabling interpersonal risky behaviours founded on trust, respect, and cooperation and encourage/support employees who demonstrate such behaviour accordingly. In this line, they should create and sustain a supportive environment that positively reinforces voice decisions and behaviours. Future Research: The study only determined the links between KOL, PS, EV, and innovation in public universities in Southern Nigeria. Other studies may examine the linkages in other knowledge-intensive organisations as well as expand the geographic scope to make for better generality of findings. Future studies should look at other underlying mechanisms that can affect the KOL-innovation relationship, such as psychological capital, work engagement, work commitment, etc. The role of moderators can be identified and introduced to this integrative framework to demonstrate the conditions affecting the linkages.

Research on the Innovation and Entrepreneurship Curriculum System in Colleges and Universities in the Digital Age

Research on the Innovation and Entrepreneurship Curriculum System in Colleges and Universities in the Digital Age

Development Path of Teaching Method Innovation in Art Colleges and Universities under the Background of Internet

Abstract The informatization teaching method is a big challenge to the traditional form of teaching in art college education. This paper studies the construction of an informatization teaching method combining multimedia technology and multimodal media information retrieval technology. In view of the demand and development conception of teaching methods in art colleges and universities under the background of the Internet, it examines the willingness of teachers of art colleges and universities to teach informatization as well as the degree of satisfaction of their teaching ability. It optimizes the retrieval of learning resources based on the multi-category classification method of ELM classifiers and proposes an integrated mode of informatization teaching in art disciplines. According to the factors affecting the informatization teaching ability of art teachers, teaching design and teacher implementation are carried out in a case-by-case manner to analyze and summarize the program effects of the informatization teaching approach. The correlation coefficient between teachers’ willingness to adopt informative teaching methods and their satisfaction with their information teaching ability is 0.614, which is moderately correlated. After the implementation of the teaching program, the total score of the teacher’s informatization teaching ability reaches 80.052, which improves the level of informatization teaching compared to the level of informatization in pre-preparation. The informatization teaching method’s program design can enhance the teacher’s informatization teaching level, which can have an impact on the innovative development of the teaching method in art colleges and universities through practical experience.

Application and effect analysis of virtual reality technology in innovation and entrepreneurship education

Abstract Adding virtual reality technology to innovation and entrepreneurship education in colleges and universities can help stimulate students’ learning interest and enhance their practical operation ability, thus improving the quality and effect of innovation and entrepreneurship education. In this paper, after exploring the demand for the application of virtual reality technology in innovation and entrepreneurship education, combined with the interactive environment of virtual reality technology, we constructed the innovation and entrepreneurship teaching mode based on VR. We used this teaching mode as the basis for the design of teaching cases in M school. During the implementation of teaching practice, relevant data are collected by distributing questionnaires. Then, the experimental data are analyzed by combining independent sample T-test, regression analysis, and other statistical methods to explore the application effect. The results demonstrate that there is a statistically significant difference between before and after the application of virtual reality technology (P<0.05), which can significantly improve students’ innovation and entrepreneurship. The perceived usefulness (0.69) and cognitive development (0.09) of virtual reality technology applications were the highest and lowest scores. In addition, financial support for innovation and entrepreneurship programs (0.131) had the greatest degree of influence on VR-based innovation and entrepreneurship education. This study is intended to contribute to the construction of innovation and entrepreneurship education for college students in colleges and universities.

Reform of Innovation and Entrepreneurship Ability Cultivation System for Undergraduates in the Context of Economic Transformation and New Engineering Disciplines

Abstract Science and technology and new industries are constantly changing, providing a more precise direction for innovation and entrepreneurship education in colleges and universities. To reform the cultivation system of college students’ innovation and entrepreneurship ability, this paper proposes the cluster core academic competence model (KAI) to analyze the learning process and the degree of knowledge absorption of college students engaged in bi-innovation education. The Group Learning Generation Network (GLGN) is constructed, and the GCN is used to update the GLGN, which can clearly show the practice and degree of difficulty of knowledge implementation, and focus on cultivating college students’ innovation and entrepreneurship ability. After the experimental research in this paper, the national innovation and entrepreneurship policy and innovation and entrepreneurship courses significantly correlate with the cultivation of innovation and entrepreneurship ability of college students. The Pearson correlation coefficient is 0.233 and 0.183 respectively, and the significance P-value is less than 0.01. From the aspect of the results of the innovation and entrepreneurship ability cultivation, the score of the college students’ participation in innovation and entrepreneurship competitions has risen to 0.098 after the reform, which shows that the reformed training system pays more attention to the education of innovation and entrepreneurship practice of college students.

Research on Innovation and Entrepreneurship Talent Cultivation Mode Innovation with Artificial Intelligence Technical Support

Abstract With the rapid development of artificial intelligence technology, colleges and universities pay more and more attention to innovation and entrepreneurship education. The path of artificial intelligence technology is proposed to empower the high-quality development of innovation and entrepreneurship education in colleges and universities from multiple perspectives. An optimization strategy is proposed for an innovation and entrepreneurship education resource-sharing platform based on a collaborative filtering algorithm. The proposal is for a collaborative filtering recommendation algorithm (CFUR) that is based on user feature weight confidence. Finally, experiments have shown that the EP value of the improved algorithm in this paper is significantly higher than that of other recommendation algorithms. Through teaching practice, students’ satisfaction with the educational resource-sharing platform based on the improved algorithm outperforms that of the traditional teaching method, and the mean value of test scores for innovation and entrepreneurship ability surpasses that of the traditional teaching class by 17.07. It shows that the optimized resource-sharing platform has a significant impact on students’ innovation and entrepreneurship abilities, which helps to cultivate innovative and entrepreneurial talents.

Quality improvement strategies on innovation and entrepreneurial education courses in colleges and universities in Chengdu

Quality improvement strategies on innovation and entrepreneurial education courses in colleges and universities in Chengdu

Construction of Ideological and Political Education Innovation and Development Platform of Colleges and Universities Based on Big Data Technology under the Concept of Green Ecological Development

Abstract This paper combines association rules and collaborative filtering algorithms to build a course recommendation method that considers personalized learning characteristics on the innovative development platform of Civic and Political Education in colleges and universities. The related algorithms in the association rules are used to visualize and analyze the association of the 10 main contents of the Civic and Political courses and give the combination of the contents of the Civic and Political courses. By analyzing the mastery and interest of students on the platform, we push the combination of courses that meet the personalized needs of students according to their knowledge, ability and interest. The constructed personalized teaching platform is used in actual teaching, and the application of association rules in course analysis and personalized push function is analyzed to prove the effectiveness of the platform. The impact of the platform on teaching is evaluated by comparing the students’ performance under platform learning to that under traditional teaching. The results show that the average scores of the Civics course content of group D1 are all above 80, and the significance value of the difference between group D1 and D2 is 4.21% < less than 5%, indicating that there is an obvious achievement difference between the two groups. In the recommended course content of Student 2, the score of the combination course A4 and A7 was 8.2158, and the learning interest rating was 17.326, which was 0.769 higher than the sum of the interest ratings of the two courses alone.

Analysis of Teaching Capacity Building of College Teachers’ Innovation and Entrepreneurship Education under Comprehensive Multiple Fuzzy Evaluation System

Abstract How can we effectively promote and improve the quality of innovation and entrepreneurship education in colleges and universities? The key lies in enhancing the capacity of teachers to impart innovative entrepreneurial education. The article takes the requirements of innovation and entrepreneurship education and the connotation of teaching ability as the orientation and establishes the evaluation index system of dual innovation education teaching ability of college teachers by combining the CIPP model. The IAHP method and the improved CRITIC method, respectively, calculate the subjective and objective weights of each index in the index system, and then they introduce the game theory idea to amalgamate and assign weights to the index system Based on the gray fuzzy mathematical theory, a fuzzy comprehensive evaluation model of the teaching ability of innovation and entrepreneurship education among college teachers was established. Using University Y as the research object, data analysis was carried out to determine the differences between teachers’ dual entrepreneurship teaching abilities, comprehensive evaluation, and the application effectiveness of the evaluation system. The maximum mean value for teachers’ innovative entrepreneurship education teaching ability is 4,085, and the minimum skewness coefficient is only −0.475, suggesting a trend towards correct skewness. Teachers’ mastery of dual-creation theory is proportionately weighted at 25.52%, and the fuzzy comprehensive evaluation score is 81.97, which is a good grade. The evaluation index system, combined with the fuzzy comprehensive evaluation model, can help college teachers clarify the problems of dual-creation education, which is conducive to improving their dual-creation teaching ability.

The positive significance of ideological and political teaching in colleges and universities based on HOG feature extraction to college students’ innovation and entrepreneurship

Abstract This paper designs an intelligent ideological teaching model integrating innovation and entrepreneurship education under the guidance of the “6C+6E” theory. In this model, the features are first extracted by the convolution operation of the student face image through the Gabor algorithm. The features extracted by HOG algorithm based on integral graph are concatenated to get the fusion of student face features. Then SVM algorithm is used to classify and recognize the student’s facial features. In the classroom, applying this ideological and political teaching mode, the overall concentration situation of the class reached 0.9988 points at the best time. In contrast, the concentration of the traditional innovation and entrepreneurship teaching classroom were all lower than 0.4 points, and the highest rate of students’ heads up in the overall classroom reached 98.19%. After the implementation of the teaching, there is a significant change in the mean score of students’ awareness of entrepreneurial value (P=0.011<0.05) and understanding of entrepreneurial business opportunities (P=0.016<0.05), which has increased by 50.45% and 36.41% relative to the pre-implementation of the teaching. The Civics teaching model constructed in this paper lays the foundation for the effective development of innovation and entrepreneurship education in colleges and universities and provides a reference basis for the improvement of students’ innovation and entrepreneurship awareness.

Construction of innovation and entrepreneurship teaching capacity in colleges and universities and its optimization path based on differential equation modeling

Abstract The rapid development of information and artificial intelligence technology has brought new opportunities for innovation and transformation in higher education, leading to innovative applications of data-driven-assisted teaching decisions. This paper analyzes the equilibrium point in predicting students’ performance using nonlinear differential equations, solves the expected value of students’ performance, and constructs a prediction model for students’ innovation and entrepreneurship performance. Student achievement data and characteristics are preprocessed to improve the accuracy of the prediction model. Based on Pearson’s coefficient, students’ innovation and entrepreneurship achievement are significantly correlated with teaching ability (P<0.05). The results show that, after implementing innovation and entrepreneurship teaching based on this prediction model, the predicted achievement of students in the intervention group is significantly higher than that of students in the control group (P<0.05). In the actual achievement test, the average total grade for the innovative entrepreneurship course of students in the intervention group was about 4.68-8.78 points higher than that of students in the control group. The achievement prediction model developed in this paper, along with the proposed optimization path for building innovation and entrepreneurship teaching capacity, offers significant guidance for the teaching research department in implementing effective teaching interventions and in the development of innovation and entrepreneurship education.

Exploration of aesthetic education path for college students based on cognitive multi-method integration of innovation and entrepreneurship cultivation

Abstract This paper builds a cultivation system of innovation and entrepreneurship ability, and puts forward the corresponding cultivation mode and implementation path. At the same time, under the implementation conditions, a multiple linear regression model is used to explore the influence of the integration of aesthetic education on innovation and entrepreneurship ability. The results show that aesthetic interest, aesthetic perception, innovation consciousness and innovation and entrepreneurship ability cultivation are significantly positively correlated, with correlation coefficients of 0.039, 0.025, 0.12 respectively. Multiple covariate diagnosis shows that the model fit is good, the value of VIF is more than 3, and that the influence of aesthetic interest, aesthetic perception, and innovation consciousness on college students’ entrepreneurial intention is significant. In addition, regression analysis showed that the standardized regression coefficient of aesthetic interest on the cultivation of innovation and entrepreneurship was −0.113 (P<0.001), and the standardized regression coefficient of innovation awareness was −0.128, which indicated that aesthetic education had a significant favorable influence on the cultivation of innovation and entrepreneurship. The study verifies the effectiveness of the innovation and entrepreneurship ability cultivation system incorporating aesthetic education. It provides data support for implementing innovation and entrepreneurship education in colleges and universities.

Study on the influence of online course design on Students’ online learning satisfaction -- The moderating effect of MOOC platform quality

Abstract The online education model has become an important form of integrated innovation and development of colleges and universities, and how to improve students’ online learning satisfaction through online course design has become a key indicator for evaluating online education. Based on 265 student sample survey data, this paper empirically studies the mechanism of influence of online course design on students’ online learning satisfaction and examines the mediating role of online interaction and the moderating effect of MOOC platform quality. The results show that: Online course design positively affects students’ online learning satisfaction; Online interaction plays a partial mediating role between online course design and online learning satisfaction; The quality of MOOC platform positively moderates the relationship between online course design and online interaction; On this basis, the article puts forward corresponding teaching suggestions, to provide theoretical basis for the development of online education.

Innovative Entrepreneurship Program Design in Colleges and Universities Applying Ant Colony Algorithm

Abstract The ant colony algorithm, a heuristic algorithm that mimics ants’ foraging, can optimize problem-solving. Applying this algorithm to the design of innovation and entrepreneurship projects in colleges and universities can enhance the effectiveness and feasibility of these projects. Based on an analysis of the college innovation and entrepreneurship project design process, the article explores the entrepreneurial path through the use of big data analysis. Then, it discusses the ant colony algorithm’s basic concept and mathematical model and proposes a two-population ant colony algorithm for multi-objective resource-constrained project scheduling problems. When compared to the traditional algorithm, the improved ant colony algorithm runs 25–33 ms faster, and Company A’s operating costs drop by 1,176,000 yuan from 2020 to 2023. This shows that the improved ant colony algorithm suggested in this paper can make university innovation and entrepreneurship programs more efficient at allocating resources.

Exploring the Path of Teacher Team Building for Innovation and Entrepreneurship in Colleges and Universities in the Information Age

Abstract With the in-depth promotion of education informatization, colleges and universities focus on developing innovation and entrepreneurship education and are committed to cultivating talents with innovative spirit and technology, which has become the key to the reform of higher education. This article profoundly analyzes the characteristics of the current innovation and entrepreneurship education teacher team, and proceeds to optimize and build a dual-creative teacher team with information literacy. Aiming at the construction effect of this path, the article constructs an evaluation index system of the construction effect of the dual-creation teacher team from multiple aspects. It combines the Kernel Partial Least Squares (KPLS) and Particle Swarm Optimization Algorithm (PSO) to empower the indexes to assess the effectiveness of the construction path. The research analysis shows that the proposed faculty building path effectively promotes the rejuvenation of the faculty team, and the percentage of teachers under 35 years old rises to 34%, significantly improving teachers’ acceptance of new things. Regarding teaching results, the weight of students’ participation in entrepreneurial practice reaches 0.146. The weight of filing innovation patents is 0.101. The results show that the construction path has a positive impact on improving the faculty team’s teaching quality and students’ innovation ability.

Modular Application of Evaluation System for Innovation and Entrepreneurship Education of College Students--Based on Big Data Platform Analysis

Abstract Based on the objectives of innovation and entrepreneurship education for college students, this paper constructs the evaluation index system, utilizes the improved Apriori algorithm to mine the association rules between the indicators, and reflects the relevant influence between the evaluation indicators through the association rules with higher support and confidence. Meanwhile, based on the big data platform, an evaluation system for innovation and entrepreneurship education for college students is established, and the level of innovation and entrepreneurship education for students is evaluated. The analysis of the correlation rules between the evaluation indicators found that the support degree of the rule that students with stronger independent ability are better at grasping innovation and entrepreneurship opportunities is 29.97%, which provides a reference for the teachers’ teaching objectives and content development. The results of the empirical analysis of the evaluation system of innovation and entrepreneurship education show that the modular application of the evaluation system created in this paper has a positive effect, and there is a highly significant difference in the evaluation of the “Z13 personal willingness” index before and after the application (P=0.000<0.001). The correlation rule of evaluation indexes in this study lays a theoretical foundation for the effective development of innovation and entrepreneurship teaching, and the modularized application of the innovation and entrepreneurship evaluation system constructed in this paper can improve the level of innovation and entrepreneurship education in colleges and universities to a certain extent.