Innovation Ability Of Students Research Articles

Research on Intelligent Space Construction Path of University Innovation and Entrepreneurship Base

In order to promote the improvement of innovation and entrepreneurship ability of college students, with continuing education, colleges and universities give full play to the advantages of integration of production and education to build college students' double creation base. By analyzing the function positioning and construction ideas of college students' innovation and entrepreneurship base, the intelligent construction path of college students' double innovation base is pointed out. The construction of college students' innovation and entrepreneurship base explores its intelligent construction path from the four aspects of network information flow, media information flow, space flow and emotional flow, so as to build up the growth space of talent education in line with the current and future.

Research on the Influencing Factors of Research and Innovation Ability of Top Students in Colleges and Universities

To cultivate the university students' ability of scientific research and innovation is one of the important tasks of higher education in our country. Based on the grounded theory, this study deeply explores the influencing factors of the scientific research innovation ability of outstanding college students who have made great achievements in scientific research, so as to improve and optimize the training method of scientific research ability of college students. It is found that the scientific research innovation ability of students with excellent achievements in scientific research is mainly affected by environmental characteristics, ability structure and quality structure. Environmental characteristics mainly refer to the resources, opportunities and information obtained by students in scientific research practice. Ability structure emphasizes students' judgment, reasoning power and practical power when solving scientific research innovation problems, and quality structure includes personality and quality factors. It is the "source power" of students' scientific research and innovation. It is suggested that educational authorities and colleges and universities implement a multi-subject collaborative training mechanism, pay attention to cultivating college students' ability of planning, self-learning and practice, set up more easy and targeted psychological counseling centers, and encourage college students to be innovative, dare to be the first, and be good at doing well while cultivating young people who truly have "four self-confidence".

Exploring the Path of Cultivating College Students' Scientific and Technological Innovation Ability in Colleges and Universities under the Background of Innovation and Entrepreneurship Education

Cultivation of college students' scientific and technological innovation ability is a new requirement for colleges and universities put forward by social development, and it is also an inherent need to promote students' self-development. In the process of implementing innovation and entrepreneurship education, college students should learn how to learn and explore themselves, how to communicate and collaborate with others, and comprehensively improve their comprehensive quality and ability, so as to enhance their competitiveness in the talent market. This paper takes the significance of cultivating scientific and technological innovation ability as the starting point, and makes a sorting out of the problems faced in the current innovation and entrepreneurship education in colleges and universities, and puts forward a few points of views on how to cultivate the scientific and technological innovation ability of college students.

The influence of social network on innovation and entrepreneurship of economic and management college students based on adaptive particle swarm algorithm

Abstract Exploring the influence of social networks on innovation and entrepreneurship of economics and management college students to help them better enhance their innovation consciousness to face the future social workplace. In this paper, the particle swarm algorithm is optimized according to the strategy and parameter adaptive mechanism, and the SPS-PSO algorithm is used to initialize and update the population. The social network and innovation and entrepreneurship ability of university students in economics and management are introduced, and feature selection based on strategy and parameter adaptive particle swarm algorithm is utilized. The index mining of social network and innovation and entrepreneurship ability of college students is conducted, and the data analysis of innovation and entrepreneurship ability of college students in economics and management is carried out with the example of the University of S. From the social network, the percentages of those who agree with the validity of social network centrality, heterogeneity, dynamics and linkage strength are 71.56, 71.69%, 72.55% and 71.16%, respectively. From the perspective of innovation and entrepreneurship, the overall percentage of college students in economics and management who agreed was 69.27%. This indicates that the higher the integrity of the social network structure of economics and management college students, the more it can enhance innovation and entrepreneurship abilities and promote the cultivation of observation and judgment ability and divergent thinking abilities of economics and management college students.

Research on Cultivating Innovation and Entrepreneurship Abilities of College Students under the Guidance of School-Enterprise Cooperation

School-enterprise cooperation can provide guidance and assistance for the cultivation of innovation and entrepreneurship abilities of college students. To leverage the role of school enterprise cooperation effectively, it is necessary to analyze the influencing factors such as practical opportunities, resource sharing, and teacher guidance. Then, based on the actual situation, it is necessary to adopt strategies such as incorporating the school enterprise cooperation module into innovation and entrepreneurship related courses, collaborating with enterprises to carry out actual innovation and entrepreneurship projects, establishing a school-enterprise communication platform, and providing support platforms such as school-enterprise cooperation and entrepreneurship parks and incubators. By promoting school-enterprise cooperation, more practical results can be generated, and more efforts can be made to cultivate the innovation and entrepreneurship abilities of college students.

Reflection and Exploration on Integrating Ideological and Political Education into the Construction of the New Liberal Arts Experimental Teaching System

Under the background of "new liberal arts", promoting the high integration of Ideological and political education and experimental teaching system, and constantly innovating the form and content of Ideological and political education in experimental training has become an important task for the reform of financial education and teaching. As an essential experimental training link to improve students' practice and innovation ability, the experimental teaching of Liberal Arts in finance and economics must change ideas, change the traditional teaching mode, and innovate the experimental teaching methods. Firstly, this paper discusses the connotation of Liberal Arts Experimental Teaching System in new liberal arts and finance colleges; Secondly, it analyzes the current situation of the experimental teaching system in Financial Colleges and the existing problems in the integration of Ideological and political teaching; Finally, through intercollegiate comparison, it is proposed to strengthen the guidance of Party building, and realize the transformation of Liberal Arts Experimental Teaching and the deep integration of experimental teaching and curriculum ideological and political education through the optimal design of the new liberal arts experimental teaching system in finance and Economics Universities.

STEAM Education Concept in English Teaching Practice Process Based on Big Data Evolutionary Network Influence Analysis

INTRODUCTION: English language teaching in China is primarily traditional test-based education. Few teachers customize teaching activities according to the content and students' characteristics, which results in students' low interest in learning English and reduces their understanding and application of knowledge to the point that their speaking skills are generally weak. English is different from Chinese in that it combines skills and practice and covers a wide range of knowledge. It is a subject category that combines general knowledge of life with theoretical knowledge. Although it is only a language subject, in the process of learning it, students can also learn the human background, customs, history and culture of foreign countries, enriching their understanding of world culture.
 OBJECTIVES: Organic combination of the STEAM model and English teaching can promote academic innovation, on the one hand, to enhance learning hobbies from the aspect of learning needs and to cultivate students' comprehensive literacy, and on the other hand, the innovation of practice and concepts can enhance students' practical ability and innovation ability.
 METHODS: This study is based on big data evolutionary network influence analysis of STEAM education concept in English teaching time process analysis of students in the classroom participation, interest in learning English and learning self-confidence and the phenomenon of mismatch between the students' learning foundation, to enhance the student's classroom participation, the interest in learning English and self-confidence, the students' comprehensive literacy, and the acquisition of English language skills.
 RESULTS: STEAM + ELT practices + interdisciplinary teaching can be realized by organically combining STEAM education concepts across multiple subject areas.
 CONCLUSION: Designing appropriate English teaching activities based on the STEAM education concept and applying the theory in actual teaching activities can achieve the expected results.

Blended Teaching Practice of Linux C Programming for the Cultivation of Practice and Innovation Ability of New Engineering

According to the training goal of innovative talents in the new engineering, taking the cultivation of students' practice and innovation ability as the core, the blended innovative teaching mode of online and offline class and inside and outside class is constructed. Through the progressive training of theoretical learning, knowledge application, practical innovation and ability promotion, and the guidance and encouragement of diversified assessment and evaluation, it fully arouses the enthusiasm of students' independent learning, improves their practical application level and engineering innovation ability, and realizes all-round education with "knowledge" as the basis, "ability" as the center and "quality" as the goal. After the feedback of the teaching experiment in our college in the past three years, the teaching effect is remarkable, which can provide reference for the teaching reform of other programming courses.

Training of Innovation Ability of Students Majoring In Physical Education Under the View of Embodied Knowing

Training of Innovation Ability of Students Majoring In Physical Education Under the View of Embodied Knowing

Scientific creativity and innovation ability and its determinants among medical postgraduate students in Fujian province of China: a cross sectional study

BackgroundGraduate education is the main approach to training high-level innovative elites. With the expansion of the scale of graduate education in China, it has gradually emerged that the lack of innovation ability of graduate students is recognized as the primary problem in graduate education. How to comprehensively improve the quality of postgraduate teaching has become the core task of educational reform and development. However, data about the current cultivation and development of the innovative ability of graduate students in China is limited.MethodsA questionnaire survey was conducted among medical postgraduate students. Descriptive statistics and multiple regression analysis methods were used to analyze the data to describe the current innovation ability in advanced medical education and potential influence factors.ResultsA total of 1241 medical students were surveyed, according to the results of questionnaire data analysis. The proportion of subjects who participated in the College Student’s Entrepreneurship and Innovation program or any other scientific research programs are fairly high which are 46.82% and 29.20% respectively. Most of the participants are observed with high levels of self-motivation and active learning and have good performance in creative thinking. However, only a small number of participants (16.6%) reported academic achievements such as publications. Most of the students are satisfied with the current scientific research environment and think that the current postgraduate training system is qualified for the cultivation of innovation ability, and expects the inclusion of course specialized in systemic medicine and medical informatics in the curricula. Multiple logistic regression results showed that among the factors studied, gender, medical specialties, and types of master’s degrees are associated with cognition & skills, academic performance, and creativity.ConclusionsIt will be important to incorporate more techniques for creating and improving creativity in the curricula of the current postgraduate education, especially for courses such as systemic medicine and informatics. Guidance in earlier school life can stimulate creativity and an early introduction to scientific research work will facilitate innovative thinking and behavior. Scientific research programs such as the National Innovation and Entrepreneurship Training for the universities of PRC have been widely implemented in the undergraduate education system throughout the country. However, the training effectiveness of the current scientific research programs is worth improving.

Comprehensive Evaluation of Experimental Teaching Quality Using AHP-TOPSIS Technique

The key of university experimental teaching is to help students gradually perfect from knowledge learning to improvement of actual operational ability through experiments in the teaching and learning process. University experimental teaching is conducive for promoting innovative thinking and ability of practice of university students, and it plays an important role in the entire talent training system. Establishing scientific and reasonable evaluation methods and reflecting shortages in practical experimental teaching are not only keys of evaluation but also important guarantee to improve university experimental teaching quality. In this study, an evaluation index system of experimental teaching quality was constructed by combining analytic hierarchy process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS). Weights of indexes were determined. Moreover, a case study based on a comprehensive evaluation of experimental teaching quality of Construction Engineering CAD for civil engineering majors of undergraduates was performed. Results demonstrated that Level 2 indexes about teachers’ good preparation of lessons and complete and standard teaching documents (X-1-3), as well as students’ active thinking and positive participation in classroom learning (X-3-2), had the highest weight. Students’ evaluation ranking results provided quantitative references to more scientific evaluation of experimental teaching. The comprehensive evaluation of experimental teaching quality using AHP-TOPSIS technique solves the mutual dependence and feedback relationship among evaluation indexes effectively, and avoids influences of subjectivity and one-sidedness of artificial weighting. Research conclusions can provide important references to optimize experimental teaching process, train the innovation ability of students, increase the comprehensive quality of students, and deepen reform in experimental teaching.

Construction of a Postgraduate Teaching System with Deep Integration of Innovation and Entrepreneurship Ability Cultivation for Microelectromechanical Systems Major

Strengthening the cultivation of the innovation and entrepreneurship abilities for postgraduate students is a practical need for the country to implement the innovation driven development strategy, and also an inevitable requirement for establishing an innovative country. This paper discusses some problems faced by the cultivation of the innovation and entrepreneurship abilities for postgraduate students. Based on the research on the construction of the curriculum system of postgraduate students majored in Microelectromechanical Systems (MEMS) in Southeast University, P.R. China, this paper presents the ideas and plans for the construction of the teaching system integrating the cultivation of innovation and entrepreneurship abilities. By promoting the implementation of this plan, the discipline of MEMS in Southeast University has made some achievements in the cultivation of innovative and entrepreneurial talents. A survey indicates that 37.7% of the postgraduate students from the discipline of MEMS expressed a willingness to start their own businesses within 5 years after graduation. At the same time, over 35.9% of the postgraduate students stated that they have certain or good innovation and entrepreneurship abilities and potentials. This can provide useful reference for the cultivation of innovation and entrepreneurship abilities of postgraduate students in other universities.

On the Necessity and Ways of Offering Writing and Communication Courses in Applied Undergraduate Programs

In the construction of the teaching system of applied undergraduate programmes, the value of "application" is highlighted, and high-quality talents with strong social adaptability and competitiveness are cultivated, which has certain requirements for the communication, writing, teamwork and innovation abilities of university students. Currently, there are many problems in writing among university students, who do not pay enough attention to writing courses and rely too much on artificial intelligence to write, lacking creative independence. The lack of writing skills also brings with it many problems, as many students find it difficult to write project books and application essays when they enter society, which does not help them to adapt quickly to the workplace. At the same time, communication skills are an important assessment factor for graduates when they first enter the workplace, and many general education courses at this stage neglect the development of communication skills. Therefore, in order to quickly solve the dilemma of the teaching mode of traditional writing courses, Liaoning Institute of Foreign Trade and Economic Cooperation offers the Writing and Communication course, which starts and ends with improving students' writing and communication in the workplace, and is student-centred, helping students to improve their writing and communication in the workplace and develop critical thinking skills through innovative teaching modes and improved assessment and evaluation, which helps to improve students' overall quality and cultivate Application-oriented talents.

Research on the Reform of Experimental Teaching of Food Processes based on the OBE Concept

Based on the OBE concept, this study takes the experimental teaching of Food Technology as the research object and explores the ways and methods of experimental teaching reform by formulating clear teaching objectives, selecting practical and relevant teaching contents, adopting diversified teaching methods and implementing scientific teaching evaluation, aiming to improve students' practical operation ability, innovative thinking ability, teamwork ability and comprehensive quality. This study has theoretical and practical significance for improving the quality of teaching and the reform of education and teaching. The shortcomings of traditional experimental teaching are analyzed, the problems are pointed out, and the ideas and methods of reform are proposed with the OBE concept as the guide. In practice, this study successfully implemented the experimental teaching reform program by setting clear teaching objectives, selecting practical and targeted teaching contents and experimental equipment, adopting diversified teaching methods, focusing on the cultivation of students' practical operation and innovative thinking ability, and implementing scientific teaching evaluation, and achieving good experimental results.

Higher Vocational Students’ Innovation and Entrepreneurship Ability Demand Prediction

The new era background and new social background put forward higher goals for the cultivation of innovative talents. The accurate prediction of the demand for innovation and entrepreneurship vocational ability of higher vocational students provides an important reference for higher vocational educators to formulate refined innovation and entrepreneurship education management strategies, more balanced allocation of limited innovation and entrepreneurship education resources, and make more scientific innovation and entrepreneurship education decisions. This paper studies the prediction of innovation and entrepreneurship vocational ability demand of higher vocational students under the background of digital informatization and theoretically discusses the demand for innovation and entrepreneurship vocational ability of higher vocational students and its connotation. It constructs the demand prediction framework of innovation and entrepreneurship vocational ability of higher vocational students for data identified on the Knowledge Retrieval Engine or High-quality Knowledge Q&A and Sharing Community, and develops the collection and use methods of students' innovation and entrepreneurship resource retrieval data. It makes the feature selection of the keyword sequence and the corresponding time lag sequence selected by the higher vocational students' innovation and entrepreneurship resource retrieval and builds the prediction model of the vocational ability demand for innovation and entrepreneurship of higher vocational students. Experimental results verify the effectiveness of the proposed model.

Research on bilingual course teaching evaluation of the The Event Management Major based on decision-oriented evaluation model

The improvement of bilingual teaching can continuously enhance students' international vision and innovative ability, which is an important measure to cultivate innovative talents in the construction of double-top universities. Using the decision-oriented evaluation model, this study explores the relationship between the whole process of bilingual curriculum investment and teaching satisfaction, taking the bilingual curriculum construction of the Event Management major at Zhejiang Yuexiu University as an example. The research findings indicate that bilingual teaching is a gradual process, and the input of teaching resources, especially the supply of teaching resources and students' self-expression, have a great influence on teaching results. To improve the quality of bilingual teaching and students' interest in learning, this study suggests paying attention to students’ language foundation and the visualization of assessment results to stimulate their initiative in bilingual learning.

Study on the Multi-Level Experiment Teaching of NAO Robot Combined with Virtual and Reality

NAO is the most well-known and widely used humanoid robot in education and research in the world. With the development of computer technology and cloud computing, and the establishment of artificial intelligence specialty, robot teaching is more important in artificial intelligence specialty. The artificial intelligence specialty is a new specialty just established in the talent training program of Chinese universities. Its purpose is to cultivate application-oriented talents in China's artificial intelligence industry and promote the construction of first-class disciplines of artificial intelligence. MATLAB is the commercial mathematical software. It is a high-level technical computing language and interactive environment for algorithm development, data visualization, data analysis and numerical calculation. It is widely used in the experimental teaching of NAO robot. In the teaching of robot theory, kinematics, trajectory planning, dynamics and control are relatively abstract and complex, and there are a lot of formula derivation and differential equations. In order to improve the quality of NAO experiment teaching, this paper analyzes the current situation and existing problems in NAO experiment teaching. In the exploration and practice of robot experiment teaching, NAO robot is taken as the research object, and MATLAB is used to carry out robot simulation and control experiments. The paper presents a multi-level experimental teaching method of NAO robot based on the combination of virtual and Reality. The multi-level includes three levels: basic experiment, design experiment and innovative experiment. The paper describes the design and implementation process of the three-level experimental teaching in detail, and gives the assessment methods, characteristics and effectiveness evaluation of the experimental teaching. The teaching results show that the teaching effect is good, can stimulate students' enthusiasm for learning, and help to cultivate students' programming ability and innovation ability.

Construction and analysis of evaluation model for medical students' innovation competency based on research-oriented biochemistry and molecular biology course in China.

Presently, a variety of policies and measures has implemented to enhance the scientific research and innovation ability of medical students, but in the process of practice, there are many problems, such as they lack of independent topic selection ability, weak scientific research skills, lack of autonomous learning ability, the research results are simple and ineffective, limited teacher guidance time and so on. This paper attempted to build an effective model for the promotion of medical students' scientific research and innovation ability, in order to establish an efficacy evaluation model of the "Medical students' Innovative Scientific Research Program." Undergraduates, graduate assistants, and tutors were interviewed with the Behavioral Event Interview technique, and a questionnaire of efficacy evaluation characteristics concluded from the interviews was formed. The questionnaire was conducted on medical students in the Medical students' Innovative Scientific Research Program, and the constructed model was analyzed using reliability analysis, validity analysis, and variation analysis. At the same time, the experimental teaching models are summarized and combed, and compared with other methods such as independent sample test. The results show the model could effectively evaluate the efficacy of the Medical students' Innovative Scientific Research Program and its teaching model is effective in cultivating medical students' learning and scientific research ability. It can provide theoretical support and practical reference for the evaluation and reform of the teaching modes related to the cultivation of scientific and innovative ability of medical students.

Relationship between Knowledge Flow of Scientific and Technological Innovation and the Collaborative Innovation Ability of Students

Scientific and technological innovation ability of students is an important part of scientific and technological innovation in higher vocational colleges. There are few scientific and technological innovation achievements and low scientific and technological content of technical application achievements in higher vocational colleges at present, which are mainly caused by the single innovation organization form and weak innovation knowledge sharing ability. It is of great significance and value to explore the knowledge flow of scientific and technological innovation in colleges and universities and the collaborative innovation of college students. There is little research on the relationship between knowledge flow of scientific and technological innovation and collaborative innovation of college students in the existing literature, so this article has carried out relevant research. This article constructs the mathematical model of knowledge flow of scientific and technological innovation in colleges and universities, analyzes the stability of the mathematical model of knowledge flow of scientific and technological innovation in colleges and universities, and gives the framework of collaborative innovation ecosystem for college students. This article accurately measures the embedding of scientific and technological innovation resources in colleges and universities, the knowledge flow of scientific and technological innovation and the collaborative innovation performance of college students, and empirically tests the direct influence effect of embedding scientific and technological innovation resource network in colleges and universities on the collaborative innovation performance of college students and the moderating effect of the knowledge flow of scientific and technological innovation in colleges and universities. Finally, the corresponding experimental analysis results are given.

Deepening Self-Efficacy and Emotional Expectation in Learning through Interpersonal Interaction: An IEEP Perspective

This study explores the potential for deep learning among students participating in the Innovation and Entrepreneurship Education Program (IEEP). Drawing on ecosystem theory and expected value theory, this research investigates how teacher-student and peer interactions can influence students' willingness to engage in deep learning, as determined by their self-efficacy and emotional value expectations. The study examines the relationships between perceived teacher-student and peer interactions, self-efficacy, emotional value expectations, and deep learning. A sample of 265 students from a Chinese university participated in the study. Research tools were developed using exploratory factor analysis (EFA) and partial least squares structural equation modelling (PLS-SEM) to test the research hypotheses. The results indicate that perceived teacher-student and peer interactions significantly impact students' self-efficacy and emotional value expectations, which in turn, influence deep learning behaviour. Self-efficacy and emotional value expectations mediate the relationship between perceived teacher-student and peer interactions and deep learning. The findings suggest that micro ecosystems can influence individuals' intrinsic belief values, which can, in turn, affect their behaviour. The study highlights the significant impact activities promoting such interactions can have on enhancing students' deep learning, innovation, and creativity abilities.