Innovative Mode Research Articles

Digital Innovation of Red Cultural Resource Management Mode in Shanxi

Abstract In this paper, we explore the mechanism of managing red cultural resources enabled by digital technology. We developed a digital communication model for red culture and proposed an innovative pathway for the management of digitally-enabled red cultural resources. Then, a regression analysis model was established to assess the effects of digital management of cultural resources through model estimation and significance testing. Based on the one-way ANOVA model, we explored the differences in the evaluation of digital management of red culture in Shanxi by different students’ genders. We tested and regressed the correlation between digital red resource management and students’ sense of political efficacy and political emotion. The results show that the correlation coefficients between digital red education and intrinsic political efficacy and extrinsic political efficacy are between (0.5 and 0.6). The correlation coefficients of digitalized red resource management with students’ sense of intrinsic political efficacy and extrinsic political efficacy r are all greater than 0, p=0.000. They are significantly positively correlated under the condition of α=0.01. This study effectively promotes the high-quality development of digital transformation in red culture and builds a new pattern of digital inheritance and innovation in red culture.

Innovation of Talent Training Mode of Higher Vocational Education in the Information Age with Industry-Teaching Integration

Abstract The optimization of talent training structures and the promotion of scientific and technical accomplishments transformation may be achieved via the merger of industry and education with higher vocational education, particularly in the information technology era. This paper uses the fuzzy intuition stacked analysis method to compute the weights of the industry-education integration evaluation indexes and the binary semantics-based comprehensive evaluation method to convert the voice evaluation of experts into binary semantic information. According to the study’s findings, there will be 1,594 faculty members overall in 2021—114 more than there were in 2016. In 2021, there will be 1,012 full-time faculty members, representing 63.32% of the overall faculty members. Of the full-time professors on campus, 65.86% of them held a master’s degree in 2016. This represents the percentage of faculty degrees. 72.14% of all full-time professors on campus obtained their master’s degree in 2020, which is equivalent to 720 full-time faculty members. Furthermore, there is a general downward tendency in Institution B’s title faculty profiles from 2016 to 2020. Senior positions will be earned by 315 full-time faculty members, which is 31.56% of the total number of full-time professors on campus in 2020. In 2016 and 2020, the percentage of mid-level degrees was 48.38% and 45.19%, respectively. Assessing the degree of development of industry-taught integration can help modernize the governance structure and diversify the core integration. These developments will help enhance higher vocational education, enhance the development plan, and advance talent cultivation reform.

The Innovation of Communication Mode of Hunan Sports Culture in the Internet Era

Abstract Hunan culture is a unique cultural form in Hunan, and to some extent, it promotes the rapid development of the Hunan economy, which has a profound influence on the development of sports culture in the region. The Belo SMCR communication model is applied to the innovation of Hunan sports culture communication mode in this paper, and a system for evaluating the efficiency of sports culture communication is established. The DEA evaluation method is used to evaluate the relevant decision-making units affecting the dissemination efficiency of Hunan sports culture, and the Tobit model is introduced to analyze the influencing factors of the dissemination efficiency of Hunan sports culture. With regard to the dissemination efficiency of Hunan sports culture, the data from 2012 to 2019 are used as an example, and it is verified in terms of output redundancy, regression results and mediation effect. The results show that the redundancy of the output of Hunan sports culture on a spatial basis reaches 90.36%, the correlation coefficient of the technical input in the comprehensive efficiency of dissemination is 0.665, and there is an intermediary effect of the local culture industry on the dissemination efficiency of Hunan sports culture, with an R2 fitting value of 0.357. Creating diverse dissemination channels through the use of new technologies is necessary to effectively enhance Hunan sports culture’s communication influence in the Internet age.

Application of Artificial Intelligence-based Visual Arts Pedagogy in Traditional Painting Education

Abstract Traditional art has a deep cultural heritage and rich connotation, combining artificial intelligence technology with traditional aesthetics as a way to realize the innovation of traditional painting education mode. In this paper, starting from the performance of traditional painting’s aesthetic value, a personalized intelligent painting teaching mode is constructed based on the visual art teaching method and combined with artificial intelligence. The CCME-GAN model is introduced for the construction of a personalized painting learning generation model, and the BERT-LDA model is established by combining the BERT model and the LDA model for the intelligent evaluation of personalized painting works. Xinjiang folk artworks were selected as the research data source to carry out the validation of personalized painting work generation and assessment, and teaching comparison experiments were designed to analyze the teaching effect of the personalized intelligent teaching mode. The subjective evaluation score of Xinjiang folk art paintings generated by the CCME-GAN model was 9.11, and among the nine clustering results of painting work assessment, the eigenvalues of the theme of painting evaluation of Cluster 1 range between [0,5.5]. At the end of the teaching experiment, students’ creativity scores increased from 2.74±0.37 before the experiment to 4.63±0.26. Relying on artificial intelligence technology can enhance the teaching effect of traditional painting methods and improve students’ painting levels.

The collaborative innovation mode of university talent training under the background of industry-education integration

Abstract At present, with the adjustment of industrial structure and industrial restructuring and upgrading, the demand for high-end skilled personnel is increasing, and the state has timely launched the integration of industry and education and the school-enterprise cooperation policy to strengthen the “double subject” status of enterprises and universities. With the help of evolutionary game theory, the study constructs a two-party evolutionary game model of talent cultivation under school-enterprise cooperation between enterprises and colleges and universities, constructs the replication dynamic equations of the two main parties of the game, and explores the stability of the Nash equilibrium point. In order to verify the reliability of the game model results, numerical simulation is carried out, which more intuitively demonstrates the dynamic process of the evolutionary game of talent cultivation under school-enterprise collaboration. When the proportion of enterprises and colleges adopting the strategy of not actively participating in collaborative talent cultivation gradually decreases in the benefits of the two groups, the enterprises choose to deeply participate, and the colleges choose to actively participate in collaborative talent cultivation is an evolutionarily stable strategy and the optimal solution of the model (1,1). It can realize the innovation of university talent cultivation mode through university-enterprise collaboration by establishing a complete information channel, incentive, and constraint mechanism to protect the interests of the two main parties of the game.

Research on the Innovation of Teaching Mode of Accounting Computerization Based on Internet

Abstract The development of information technology such as big data, intelligence, mobile Internet, and cloud computing and their application in the field of accounting have expanded the function of accounting and promoted the development of accounting informatization. This paper innovates and applies the teaching mode of accounting computerization under the Internet mode by constructing a complete teaching system of accounting computerization, introducing the Bayesian knowledge tracking model, and improving the K-means algorithm of the teaching mode of the Internet. The application test validation shows that the average score after the implementation of the teaching mode is higher than the average score before the implementation of the teaching mode, indicating that there is a significant difference between the scores before and after the experiment.... All the learning behaviors in this teaching mode have a strong correlation with the learning effect, and the correlation degree is more than 0.6. Through the knowledge tracking model, this teaching mode successfully achieves timely mastery of students’ learning levels and strengthens their cognition.

Innovation of Operation Mode of Traditional Enterprises in the Era of Digital Economy--Taking Traditional Cultural Enterprises as an Example

Abstract The essence of a cultural enterprise’s digital transformation is the process by which it metamorphoses into a new type of cultural enterprise by using new digital technologies to improve its core business and product concepts. This paper delves into the need for digital transformation in traditional cultural enterprises and devises a strategy for this transformation. It applies data mining technology to customer relationship management, analyzing customer value using the K-means algorithm and weighted association rules. The CRM system, built using data mining technology, can categorize customers into four types and implement corresponding marketing strategies for customers with different values. Using Company A as an example, we verify the impact of this innovative model on revenue, profit, and operational capacity. After the digital transformation of Company A, the operating profit maintains a fast growth rate, in which the difference in profit between December and November reaches 31,132 yuan, and the gap between the company’s inventory turnover rate and that of the same industry in December is only 0.1%. The digital transformation of traditional cultural enterprises has facilitated the company’s rapid growth.

Innovation and Practical Exploration of Industry-Education Integration Mode under the Background of Rural Revitalization

Innovation and Practical Exploration of Industry-Education Integration Mode under the Background of Rural Revitalization

Innovation of teaching mode of economic management informationization in colleges and universities based on the RDMIE model

Abstract The accelerated application of emerging technologies in the financial field in the era of informationization has put forward brand-new challenges and requirements for the development of disciplines as well as the teaching mode of economics and management majors in colleges and universities. In this paper, the teaching resource base of economics and management majors is first constructed on the basis of the RNMIE model combined with cloud computing and other technologies. Then the theory of self-organizing behavior is introduced to build a three-dimensional informatization teaching platform for economics and management majors. On this basis, combined with the online learning teaching resources analysis model, the personalized recommendation method of hybrid recommendation is used to recommend matching resources for economics and management students. The learning satisfaction assessment model is constructed with the students’ learning satisfaction assessment system and structural equation model. Simulation tests and example analyses were conducted to recommend resources and ensure student satisfaction in the three-dimensional computer-based teaching platform for economics and management in colleges and universities. It is found that when the number of nearest neighbors increases from 5 to 50, the MAE of personalized recommendation of economic and management teaching resources based on hybrid recommendation decreases by 30.91%, and the direct utility path coefficient of teaching effect on students’ learning satisfaction is 0.62. The teaching resources of economics and management constructed by combining the RNMIE model can help students realize the diversified choices of teaching resources and also provide a new reference for the innovative informationized teaching mode of economics and management majors.

Research on the Innovation of Teaching Mode of Orienteering Sports Courses in Colleges and Universities Based on Mobile Intelligent Terminals

Abstract This paper studied motion state recognition algorithms using acceleration signals (ACC). At the same time, research is also being conducted on ECG motion artifact suppression algorithms and respiration rate detection algorithms. Based on this, we designed a mobile intelligent terminal sports app that allows users to view physiological signals and sports status in real time at any time. In college and university orienteering classes, the mobile intelligent terminal movement app is used to teach the sport. The results of comparing the experimental group and the control group in the orienteering course show that the mobile intelligent terminal orienteering teaching makes a significant difference in the men’s physical quality, except for the seated forward body flexion (P<0.05). There were significant differences in the women’s group in terms of 50 m running (P = 0.013) and 800 m (P = 0.042). The experiment improved the dimensions of the Orienteering Campus Short Distance Test, Learning Motivation Indicator, and Emotional Management.

Reform and Innovation of Ideological and Political Education Teaching Mode in Colleges and Universities in the Context of Information Technology Empowerment

Abstract In the rapidly evolving landscape of higher education, integrating digital advancements presents challenges and opportunities for ideological and political education. This research delves into the intersection of information technology and educational methodology, proposing a novel approach to teaching civics and politics. We accurately identify student behavioral patterns by applying a sophisticated clustering analysis through density optimization K-means, NN-Stacking, and Stacking fusion techniques, thereby tailoring educational content more effectively. Implementing this data-driven teaching model significantly boosts student outcomes in civics education, evidenced by an average score increase of 13.306 points. Furthermore, statistical Analysis (P = 0.0433 < 0.05) validates the enhanced impact of this method compared to traditional pedagogies. This study underscores the transformative power of information technology in enriching ideological and political education, paving the way for innovative teaching strategies.

Exploration and efficiency assessment of the management model of higher vocational education with poa concepts

Abstract Current vocational high school management practices suffer from low efficiency, mainly due to inadequate backing from pertinent educational theories. In this study, the POA concept is first used as a guideline for the innovation of the management mode of higher vocational education, and 30 provinces, cities, and autonomous regions in China are taken as the research objects. Then, based on the output and input indicators, we constructed the efficiency assessment system of education management, used the DEA model to make static measurements of education management efficiency in 2020-2022, and further analyzed the dynamic evolution trend of the efficiency of higher vocational education management by using the Malmquist index. According to the results, less than 50% of higher vocational colleges and universities are classified as non-DEA practical situations. For these higher vocational colleges and universities, their input redundancy and output insufficiency are analyzed, in which the two input indicators of total public expenditure and the number of administrative personnel of decision-making unit 1 are insufficient. The input insufficiency rate is 13.43% and 73.01%, respectively. According to the input and output of each higher vocational college or university, the corresponding solution measures are proposed to improve the efficiency of educational management of higher vocational.

Research on the Innovation and Effectiveness of the Teaching Mode of Civics and Political Science Courses Supported by Mobile Computing Platforms

Abstract In today’s world, with the rapid development of information technology and scientific education, data technology has triggered important changes in ideological and political education in colleges and universities, effectively promoting the transformation of educational concepts, ways of thinking, educational methods, and practice modes. Based on the research background under big data, this study investigates the traditional knowledge-tracking model, introduces the attention mechanism and the characteristics of ideological and political learners on the basis of the traditional model, and proposes an improved knowledge-tracking model. At the same time, a mobile teaching platform was constructed, then the improved knowledge tracking model was tested, and the effect of the knowledge platform application on the relevant dataset was explored. The results show that using the optimized knowledge state tracking model, the teacher’s teaching time can be adjusted according to the students’ state, and there is a good effect on the prediction of students’ grades, and the average grade of the students is only 2-6 points of error from the predicted grades. In terms of model application accuracy, the average value of low accuracy is 6.92%, the average value of medium accuracy is 12.9%, and the average value of high accuracy is 79.79%, so the model assesses students’ knowledge status with high accuracy. Finally, the optimized model was used to analyze the learning effect of the students and to conduct a survey on the effect of using satisfaction, and the survey concluded that the students were more satisfied with the model.

Innovation of Visual Communication Design Mode Based on Internet of Things and Sustainable Development

Innovation of Visual Communication Design Mode Based on Internet of Things and Sustainable Development

Innovation and Practice of the Cultivation Mode of Application-Oriented Undergraduate Talents in Agricultural and Forestry Colleges under the Guidance of the Spirit of the Great Northern Wilderness

Innovation and Practice of the Cultivation Mode of Application-Oriented Undergraduate Talents in Agricultural and Forestry Colleges under the Guidance of the Spirit of the Great Northern Wilderness

Research on the Innovation of Science and Technology Management Data Service Mode under Artificial Intelligence Technology

Abstract S&T management data has a wide range of sources and types, and the innovation of S&T management data service model is an important way for the efficient utilization of S&T resources in the new era, so this paper creates an innovative model of S&T management data service based on Data-Information-Knowledge-Wisdom model and artificial intelligence technology. Heterogeneous data mining technology based on association rules is used to obtain the connection between S&T management data, Lagrange interpolation is used for heterogeneous data cleaning to predict the missing values of S&T management data, and data lineage resolution technology is used to solve the challenges brought by the complex and diverse S&T management data components. Experimental analyses are conducted from both S&T management data processing and data service cases to verify the effectiveness and scientificity of the S&T management data service innovation model proposed in this paper. The results show that in S&T management data processing, this paper’s method consumes less than 2.45s for associated data rule mining, which has high mining efficiency, and the duplication rate and missing rate of data are below 0.0260 and 0.0222. Through the analysis of the service quality data, it can be seen that the degree of explanation of the service process quality problems of the model proposed in this paper tends to be close to 1, which can reflect the differences in the service process quality problems, and provide accurate, intelligent and personalized services for the main body of science and technology innovation.

Innovation and Implementation of Teaching Mode of Higher Vocational Advertising Planning Course in the Context of AI Smart Marketing

Innovation and Implementation of Teaching Mode of Higher Vocational Advertising Planning Course in the Context of AI Smart Marketing

Innovation of Management Mode of Private Colleges and Universities from the Perspective of Scientific Outlook on Development

Innovation of Management Mode of Private Colleges and Universities from the Perspective of Scientific Outlook on Development

Research on the innovation of spirit education mode of college discipline inspectors under the background of the new era

Research on the innovation of spirit education mode of college discipline inspectors under the background of the new era

Innovation and Practice of Enterprise Short Video Operation and Management Mode in Melting Media Environment

Abstract In the contemporary integrated media environment, the innovation of enterprise short video operation and management, as well as the strategic utilization of modern network technologies, are pivotal in amplifying an enterprise’s influence among users on burgeoning integrated media platforms. This study delves into refining the existing recommendation algorithms, which are crucial for enhancing user engagement and retention rates in enterprise short video services. By integrating the Vulture Search Algorithm to optimize the Fuzzy C-Means user clustering technique and leveraging user profiles developed from questionnaire surveys, this research pioneers a novel approach for tailoring the short video recommendation processes. The enhanced algorithm effectively addresses research needs aligned with user pReferencesand enhances the Fuzzy C-Means method. The application of this refined recommendation algorithm demonstrated significant improvements in user stickiness, driven by the recommendations’ accuracy, engagement, enjoyment, and novelty. Factor analysis revealed that these attributes account for 89.553% of the total variance, which highlights their significant impact on user engagement. Consequently, enterprises seeking to innovate their short video operations within the integrated media landscape must prioritize optimizing video recommendation systems to foster user attachment and satisfaction.