bluuebunny/crossref_metadata_2025 huggingface dataset:
Prevalence and distribution of recurrent aphthous stomatitis in 10-13 years old: observational study in elementary school
Authors: Probosari Niken , Syifa Nur ‘Aini , Budirahardjo Roedy , Prihatiningrum Berlian , Sulistiyani Sulistiyani , Setyorini Dyah , Sukanto Sukanto
Published: January 2024

ABSTRACT Introduction: Recurrent aphthous stomatitis (RAS), better known as canker sore, is the most common soft tissue disease of the oral cavity and affects 5 to 66% of the world’s population. RAS often begins in childhood and the age group of 10-14 years has the highest proportion of RAS in children. The purpose of this study was to determine the prevalence and distribution of RAS according to gender and age, clinical characteristics, ulcer location, and predisposing factors in 10 to 13 years old students. Methods: This observational study used cross-sectional design with total sampling method. The data were collected by oral cavity examination using direct observation with a mouth mirror and by filling out 10 closed questions questionnaires about predisposing factors of RAS. The data that had been obtained was tabulated and presented in tabular form using SPSS 16.0. Results: With a total sample size of 79 students from 10-13 years old, this study showed that the prevalence of RAS was found in 16 students (20,25%). The distribution of RAS based on gender was found to be higher in females (11,39%), while based on age, it was found that 11 years of age was the age that suffered the most RAS (10,13%). Based on clinical examination, all of the subjects were categorized as minor, mostly found at labial mucosa and tongue (31,25%). Based on questionnaires, the highest predisposing factor was due to trauma in 11 people (68,75%). Conclusion: In our study, among 10 to 13 year old students with RAS, females were mostly found at 11 years of age, detected with minor clinical characteristics. The labial mucosa and tongue, and trauma were the highest predisposing factors.KEYWORDS: recurrent aphthous stomatitis, children, prevalence, distribution
The value of imbibition and syneresis for dental impression on red seaweed: a laboratory experiment
Authors: Indahyani Didin Erma , Barid Izzata , Anggraeni Priska Amelia
Published: January 2024

ABSTRACT Introduction: Alginate is a type of elastic dental impression, which is an irreversible hydrocolloid. The main components in sodium alginate can be obtained naturally through the extraction process from seaweed (Kappaphycus alvarezii). Several physical characteristics must be fulfilled by dental impressions, such as dimensional stability related to imbibition and syneresis. ANSI/ADA specification No.18 regarding the maximum permitted change in alginate impression materials may not exceed 0.5%. This research aimed to analyze the value of imbibition and syneresis on dental impressions of red seaweed extract (K.alvarezii). Methods: The research was conducted using an experimental laboratory method with a post-test-only control group design. There were two groups, namely the control group of commercial dental impressions and the treatment group using dental impressions with the sodium alginate extracted from red seaweed (K.Alvarezii) by the acid method, and the FTIR test was performed to analyze compound sodium alginate. Imbibition and syneresis measurements were carried out using a calliper on a plaster cast model from negative mould casting results, where previously, the mould was soaked in water for imbibition and evaporated for syneresis. Results: Imbibition and syneresis tests showed that the impression material group with sodium alginate from red algae was significantly lower than those with commercial impression materials. It was concluded that the impression material with sodium alginate from red seaweed had an effect on reducing the percentage of syneresis (p≤0.05) and imbibition (p≤0.05) of the impression material. Based on the results of our research, it was found that the alginate impression material extracted from red seaweed (k.alvarezii) had an imbibition value of 0.33% (p≤0.05) and syneresis of 0.28%, (p≤0.05) lower compared to alginate impression materials. commercial alginate impression material. Conclusion: The imbibition and syneresis values of red seaweed alginate show an excessively low value compared to commercial alginates.  KEYWORDS dental impression,sodium alginate, Kappaphycus alvarezii, imbibition, syneresis
Effect of Dietary Fiber Enrichment on Quality Characteristics and Consumer Acceptance of Fruit Snacks
Authors: TAŞTAN Özge
Published: January 2024

In this study, different fiber sources such as inulin, peas and carrots were used to produce fruit snacks enriched with dietary fiber. The effect of these fiber sources on the proximate composition, pH, titratable acidity, water activity, color, texture, total phenolic content, microbial load, and sensory acceptability of fruit snacks was determined. Results showed that fruit snacks enriched with inulin (5.0%) had the highest content of total dietary fiber while snacks enriched with carrot fiber (5.0%) had the highest total phenolic content. The moisture content of fruit snacks with different fibers decreased in comparison to control snacks as fiber was added into their formulation. Moreover, the water activity values of fruit snacks (aw) were lower than 0.7, indicating a low risk for bacterial growth and affirming a favorable shelf life. Compared to control snacks, increasing the dietary fiber addition from 2.5 to 5.0% significantly increased the hardness, gumminess and chewiness values of fruit snacks. The microbiological analysis of fruit snacks indicated that snacks were safe. Additionally, results showed that fruit snacks (2.5%) enriched with inulin and pea fiber were found to have higher sensory acceptability scores than others.
A Study on the Lexical Evolution of Yuzhong Dialect Based on Cognitive Mapping and Its Pragmatic Mechanisms
Authors: Niu Li
Published: January 2024

Based on the method of cognitive mapping, this paper systematically organizes the evolution of Yuzhong dialect vocabulary in different historical stages, revealing its important role in the evolution of the Chinese language. The global statistical information of the corpus is utilized to train the word vectors, which are input into the recurrent neural network as feature vectors to enhance the model’s ability to learn long-distance information. Perplexity is defined as a metric for evaluating the performance of a language model, the inverse of the geometric mean probability assigned to each word by the model given a known sequence of words in the test set. Subsequently, based on this metric, a corresponding model was built to comprehensively evaluate the performance of the language model, which provides insights into the functions and expressions of Yuzhong dialect words in communication. Among them, the number of unsubstituted nouns, such as weather, is 41, and the color of the sky is 67, showing the rhyme and stability of Yuzhong dialect vocabulary in specific domains.
A Study on the Relationship between Ideological and Political Education and Mental Health Education Based on VAR Modeling
Authors: Xian Dawei
Published: January 2024

This paper constructs a teaching model for the integration of Civics and Mental Health Education based on the VAR model, establishes an efficacy function by utilizing the system sequential covariate fitness, and sets the number of district states of the VAR model to be constant, so as to be able to understand the relationship between Civics and Mental Health Education comprehensively. In addition, the fitness function was established to objectively reflect the degree of coordination and fitness of the entire education system. Meanwhile, a composite system synergy degree model was constructed by combining coupling theory. And the gray correlation statistics were introduced, by taking the average of the results, they were able to determine the comprehensive weight of the evaluation indexes. In the LNL order difference variable, its value is 0.262, which is lower than the 1% critical value of 3.556, indicating that there is a basic consistency between college students’ mental health and Civic and Political Education in terms of cultivation objectives.
Empirical Analysis of Civic Parenting in Colleges and Universities Combining Students’ Psychological Cognitive Characteristics
Authors: Zhao Zhenyi
Published: January 2024

This paper establishes a psychological cognition-based model of Civic Education and obtains a basic training corpus through contour coefficients, which is preprocessed according to the basic classification criteria. Based on the Chinese participle classifier, a data mining algorithm was used to identify the standardized labels in the text. In the test application stage, the overall scope of course recommendations is set, and the best teaching program is produced according to the degree of influence of teaching quality. The teaching evaluation system’s performance can be improved by using gray correlation based on user feedback on classification results. In the analysis of correlation and influence factors, students focus on learning Introduction to the Fundamental Principles of Marxism and Mao Zedong Thought, with a learning rate of 93.3%, and the weight value of the combination of teaching and research business force and teaching reform is higher than the standard of 0.6. The loading value of curriculum setting and educational resource allocation is 0.865 and 0.898, respectively. Colleges and universities can enhance their teaching programs by integrating students’ psycho-cognitive characteristics.
Application of Deep Neural Network and Human-Computer Interaction Technology Based on Multimodal Perception in Art Design
Authors: Tang Yi , Xu Congyao , Xu Fei , Xie Liang , Zheng Chutan , Han Zhongfei , Xue Yifan
Published: January 2024

The essence of art design is the process of emotional interaction with humans. In this paper, emotions are classified using multimodal fusion features, and abstract fusion features are obtained by sampling the multimodal matching tensor using average pooling. The matching fusion matrix in the tensor operator is used to convert from two-modal to multi-modal matching. Virtual interaction model in art design controls the design objectives, and the optimized virtual world is constructed by using virtual reality technology, so as to build an immersive art design model. Finally, a study was conducted to examine the impact of the use of emotion perception and interaction technology in art product design with students from the School of Design and Art, University of G. The results show that the liking degree of three-color matching in the cognitive experiment test is 0.307, which is higher than the liking degree of two-color matching of 0.223, indicating that overall three-color matching samples are more popular in art design. This study provides effective evaluation and guidance for designing art products that are emotional and innovative.
Research on landscape design of rural characteristic town based on big data technology
Authors: Yan Shuting , Shi Lei , Tan Yang , Liu Yan , Ding Yan , Chen Mengjia
Published: January 2024

The integration of production and township, landscape enhancement, industrial reconstruction and other aspects of rural characteristic towns play an important role in promoting social harmony. This paper proposes an optimization design method for the landscape spatial environment of a characteristic town based on an interactive genetic algorithm. Construct the visual feature spatially distributed detection and fuzzy pixel region feature fusional reconstruction model of characteristic town landscape spatial environment design image, adopt the similarity information fusion model to carry out the characteristic town art landscape information fusion perception and chunked region template matching in the process of visual reconstruction of the characteristic town landscape spatial environment design image, and realize the characteristic town art landscape design. Finally, based on the ecological concept, it clarifies the development goal and designs the landscape planning path of rural-characteristic towns. According to the landscape design evaluation analysis of rural characteristic towns, the public perception of the natural landscape at macro (91.98%) and macro (97.43%) scales is significantly higher than that of humanistic landscape, which is dominated by expansive water body landscape and close-up flower and aquatic plant landscape. The standard was only met by the prevalence of river greening in 11 natural environment landscape evaluations. The standard was only met by 3 out of the 19 human environment landscapes evaluated.
Analysis of the Teaching Path of Animation Film Majors Integrating Digital Visual Space in the Context of Digital Media Art
Authors: He Zhifang
Published: January 2024

In this study, we first adopt the dynamic stereo vision spatial coordinate measurement method of non-zoom cameras, establish a coordinate measurement model based on differential GPS, and study the application of the spatial coordinates of dynamic stereo digital vision systems in animation design. Secondly, the internal and external parameters of the camera are defined as the static error of the dynamic stereo vision system so as to provide an easy and quick-to-use design tool for the teaching of animation film majors. Finally, a test sequence animation sample set is used to verify the teaching effect of digital visual space based on animation design. The results show that in the multi-comparison test of animation quality against pixel bit rate, the animation design samples were found to have frame rates in the range of 5-30 Fps. And under the condition of having extra bandwidth, the animation feature learning evaluation dimension is 2589, and increasing the animation visual frame rate can improve the output picture quality of animation more effectively. It shows that the integration of digital visual space in the context of digital media art can allow students to have enough project sources for learning and practicing so as to improve their professional ability.
Analysis and Application of Practical Ability of Multimedia Technology in Art Education
Authors: Zhao Jingjing , Wang Zijia
Published: January 2024

With the development of multimedia technology, more and more colleges and universities apply network multimedia technology in art teaching to achieve the improvement of the art teaching effect. After analyzing the application scenarios of D2D, D2D technology is combined with social networks to create a teaching classroom where teachers and students can collaborate. A communication link is established in the network classroom to facilitate the sharing of art education content. Combine the network terminal caching system to improve the cache hit rate by caching multiple identical contents. Integrate network multimedia technology into art education and examine its contribution to education. The results show that the caching effect of multimedia technology is mainly reflected in four aspects: completeness, clarity, smoothness, and speed. When the number of caches reaches 12, the caching speed of the teaching content fluctuates in the range of 0.75-0.8. When the number of caches is less than 12, the caching fluency of the content is in the range of 0.85-0.9. This study provides a new direction to promote the reform of art education, which is conducive to improving the teaching effectiveness of art education and cultivating art talents.
An Exploration of the Connotation Characteristics of Data Civics and Its Effects in the Digital Era
Authors: Han Xiao
Published: January 2024

In this paper, the variational self-encoder is dissected, and the depth-embedded variational self-clustering model based on it is constructed, and the loss function and optimization function are designed. By enhancing the information of textual semantic representation, the semantic enhancement module is constructed based on the deep variational inference algorithm, the network structure of the semantic enhancement module is designed, and the SEVAE model of textual clustering based on the semantic embedding of DataSmart is constructed by combining textual clustering layer and dataSmart connotation. On this basis, the comparative experiments of the SEVAE model are constructed to analyze the convergence and clustering performance of the constructed model, explore the connotative features of Data Sensemaking, and analyze the effect of Data Sensemaking through empirical evidence. The results show that the clustering assignment process converges at the 20th iteration round, which significantly improves the feature representation, divides the 8483 texts into 3 groups, and the Data Thinking has the characteristics of Data Thinking, Data Information, and Data Quantification, with a positive, positive effect of P<0.1 for all the control indicators. Data Thinking has the power to promote patriotic sentiment, patriotism, and social cognition.
New Exploration on Tapping School History Resources to Empower the Teaching of Civics Classes in Colleges and Universities under the Perspective of Great Civics Classes
Authors: Hu Jihui
Published: January 2024

In this paper, in order to solve the teaching problems of college Civics courses under the perspective of the big Civics course, data mining technology is used to obtain school history resources and then construct research on the teaching of college Civics courses empowered by school history resources based on data mining. The initial data of school history resources obtained by data mining, regression analysis and decision tree analysis of the initial data are used to offset the influence of the attribute values of school history resources on the research results, and association rule analysis is used to help students understand the characteristics, connotation and connection between school history resources and the teaching of ideological and political education. Based on the relationship between school history resources and ideological and political education, a data mining-based research program on school history resources empowering ideological and political teaching was designed, confirmed and analyzed. The results show that the average scores of the four items of management attitude, management ability, management method and management effect in the school history resources empowering the teaching of ideology and politics are 0.6001, 0.5761, 0.5481, 0.5751, which indicates that the development of the school history resources based on mining association rule algorithms of data mining technology can better realize the function of teaching in the teaching of ideology and politics courses. This study enhances the use of previous school history resources in ideological and political education, which is conducive to the development of high-quality socialist successors and reliable builders.
A Study on the Relationship between Psychological Needs, Entrepreneurial Motivation and Entrepreneurial Performance of College Students’ Entrepreneurship in the Context of Digitization
Authors: Li Huajin , Tsao Hsueh-Jen
Published: January 2024

Promoting entrepreneurship of high quality in the context of digitization is an important support for the in-depth implementation of the innovation-driven development strategy, and it is a necessary way to achieve fuller employment and employment quality. In this paper, starting from the hypothesis of correlation, we analyzed the reliability and validity of the design of the questionnaire. The fuzzy DEMATEL-SEM model was constructed by combining structural equation modeling and fuzzy decision-making experimental method, which can be utilized to realize the exploration of the correlation between entrepreneurial psychological needs, entrepreneurial motivation and entrepreneurial performance. The quantitative validation of the data is carried out through linear analysis, correlation analysis, regression analysis, and model analysis. The results show that the two-tailed significance test result of the importance of entrepreneurial psychological needs and entrepreneurial motivation is less than 0.01, the mean value of R2 of the model between entrepreneurial psychological needs and entrepreneurial performance of college students is 0.6355, and the direct effect of entrepreneurial motivation on entrepreneurial performance is 0.766. There is a clear positive correlation between entrepreneurial psychological needs, entrepreneurial motivation and entrepreneurial performance, and universities and colleges need to fully carry out entrepreneurship education activities to enhance students’ entrepreneurial awareness.
Digital innovations in higher education management and mechanisms for high-quality training of students
Authors: Jia Yongbin
Published: January 2024

With the rapid development of modern information technology, the management mode and cultivation path of higher education have undergone great changes, and this paper explores this change from digital innovation. First of all, this paper analyzes the mechanism of education management and student training in higher education and puts forward the digital innovation path of higher education management and student training in combination with education big data. Then, on the basis of the traditional Apriori algorithm, the AHP-DEMATEL method is introduced for empowerment, and weighted ordered directed constraint Apriori algorithm is proposed for data mining, and the PSO-LS-SVM prediction model is proposed for data prediction by combining particle swarm algorithm for optimization under least squares support vector machine algorithm. Finally, the data on educational management and the effects of student cultivation and innovation on students are mined and predicted, and the relationship between the two is explored. The results show that the improved Apriori algorithm ends up with the number of rules around 20 when the support degree is 0.22, the confidence degree is 0.50, and the interest degree is 0.80, and the relative errors of the prediction are all under the level of 0.03, and the average relative error of the data of the experimental results is 78, and the innovation scores are all above 80. Higher education management and the digital innovation of students’ high-quality training mechanisms show a positive correlation, which can promote the overall development of students.
Research on the Change and Protection Strategy Innovation of Non-Genetic Inheritance in Sports in the Era of Artificial Intelligence
Authors: Zhang Feng
Published: January 2024

In this paper, we study the operation mechanism of the Openpose model under artificial intelligence technology, reconstruct the spatial coordinate system of the skeleton, and do the standardization of the skeleton coordinate system. Analyze the problem of limb angle similarity, sort out the algorithm process for extracting differential posture features, and extract human limb angle features through center-of-gravity regression calculation. A model for the change of non-heritage inheritance methods in sports is constructed using motion-captured interactive images of non-heritage sports dance. There are five innovative ways to use non-heritage protection strategies. The Openpose model was used to capture the kinematic features of sports gestures to analyze the non-genetic inheritance of sports in A place for empirical research. In the study of athletes’ front leg characteristics, the mean value of level 1 athletes was 44.68±21.93 higher than that of level 2 athletes, and the p-value was 0.049<0.05, which was significant. In the empirical analysis of sports NRLs, the comprehensive score of the protection effect of 14 sports NRLs in place A was 3.293, which was better overall. Among the protection effects of different dimensions, the survival conditions dimension has the best protection effect, with a mean value of 4.436. This aspect of survival conditions is handled with the best effect in place A. The government is not as good as the other two dimensions in terms of protection and needs to increase its protection efforts.
Research on Talent Cultivation Path for Marketing Majors under the Integration of Industry and Education Based on Intelligent Data Analysis
Authors: Wang Yang
Published: January 2024

In this paper, cluster analysis is used to obtain the similarity coefficients as well as measurement scales among marketing characteristic variables in order to find the degree of stickiness of corporate marketing accurately. In order to avoid the over-fitting problem in the process of marketing research based on cluster analysis, it is necessary to optimize the attribute dependence through a rough set base and further explore the application of cluster analysis in marketing research. In the research design of marketing professional talent cultivation by integrating intelligent data analysis, the cleaning of research data can avoid the problem of initial data null value as well as duplication, and the evaluation database and data mining process are explained in the research. According to the marketing professional talent cultivation standards, to determine the research evaluation indexes, and to research and analyze the marketing professional talent cultivation path under the integration of industry and education. The results show that the regression coefficient of teaching form and student satisfaction of marketing teaching is 0.302, and the significance level Sig value is 0.000 (<0.01). That is, the teaching form has a significant positive influence on the satisfaction of marketing majors individually. This study enhances the ability to integrate industry and education in vocational colleges and universities, driving the local economy and realizing a win-win situation between schools and enterprises.
Analysis of Consumer Perceived Needs of Fiber Arts and Crafts in the Internet Era with Perceptual Engineering as an Orientation
Authors: Wang Na , Abidin Sazrinee Zainal , Shaari Nazlina , Mansor Noranita
Published: January 2024

Starting from the construction of the perceptual engineering model, this paper gives the research objective of consumer perceived demand for fiber art handicrafts in the Internet era and designs the corresponding perceived SD scale according to consumer perceived demand. Factor analysis, the results show that for embroidery handicrafts, more attention is placed on grad in consumer perceived needs, with a factor loading eigenvalue of 4.647, and the grade variability of embroidery handicrafts is 27.336%. The consumer perception under the cluster 1 category of handmade blankets is mainly the grade, and its percentage is the highest at 26.698%, and the influence factor of style in bamboo and grass woven products is the highest at 23.078%. The design of fiber art handicrafts oriented to perceptual engineering needs to fully explore the consumer’s perception needs in order to promote innovation and development of fiber art handicrafts.
Application of independent component analysis-based dimensionality reduction technique in effective information extraction of high-dimensional high-frequency data
Authors: Wang Xiaohui
Published: January 2024

In this paper, after analyzing the existing independent component analysis algorithms, the high-dimensional high-frequency data are preprocessed by whitening, and the objective functions of crag, negative entropy, approximate negative entropy, and mutual information are set. The independent component analysis model is designed to separate the independence between signals by maximizing non-Gaussianity, estimating great likelihood, and minimizing mutual information measures. In order to verify that the dimensionality reduction technique based on independent component analysis can effectively extract high-dimensional, high-frequency data information, it is applied to the industry’s closing index data and financial market data. The results show that the stock price synthesized using the six major independent factors is almost the same as the original stock price trend of DG, and the difference in stock price evaluation is within 5, indicating that the six major independent factors play a decisive role in the stock price trend. The study shows that the dimensionality reduction technique based on independent component analysis can analyze the volatility of stock prices and obtain more effective information from high-dimensional, high-frequency data.
The Application of Big Data Technology in English Teaching Mode Innovation and Effect Analysis
Authors: Yu Yiqun
Published: January 2024

Big data technology provides a detailed development of English language teaching, which is targeted through the assessment of cognitive level. In this paper, ConvSLSTM is used to describe the problem of learners’ knowledge level and build a cognitive framework. With the support of the framework, “recall rate” was introduced to quantify the English vocabulary test results, PSTM ability was adopted to reflect the acquisition of syntactic variants, and attention control was borrowed to evaluate pronunciation characteristics. Based on the initial quantification mentioned above, a hierarchical-level calculation was accomplished by combining fuzzy logic. Meanwhile, based on the estimation of different sides, a rule space model was created, and some corrections were made to achieve the cognitive diagnosis of the group level. In terms of the syntactic developmental trajectory of the girl learners, the maximum value of the range of syntactic variation of the subjects appeared in the middle and late stages. During the early stages of development, the variation range is between 10-35, and the bandwidth is 25, with very little variation. However, in the middle stage of development, it basically starts to oscillate significantly between 10-85, at which time the bandwidth increases to 75. Big data technology has created a comprehensive measurement framework for learners’ English proficiency.
Constructing a Guarantee System for Physical Education Teaching Reform and Innovation in the Digital Era
Authors: Yao Lijuan
Published: January 2024

In this paper, the world coordinate system transformation in virtual reality technology is utilized to obtain the gesture information for estimating human movement in the process of physical education, and the dynamic sampling light projection algorithm is used to match the gestures of human sports movements. The selection algorithm based on the Q statistic defines the virtual reality technology difference as the error trend of the existence of the difference obtained by each classifier for the new data sports students, and at the same time, combines with the VRT method to construct the VR sports teaching model. In the digital teaching of sports, digital sports teaching materials can be produced by motion editing and video synthesis, and statistical analysis methods can be used to study and analyze the teaching of sports in the digital era. The results show that the highest value recognized by the supervised training algorithm based on JPCD+SRD is 0.92, while the highest value recognized by this paper’s algorithm is 1, i.e., it shows that the effect obtained by this paper’s algorithm is higher than that of supervised training methods, which makes the effect of action recognition in virtual reality technology further improved. The average scores of sit-ups of girls in the control class and the experimental class were improved by 4.03 points and 11.4 points, respectively, compared with those before the experiment, i.e., the use of Internet tools to assist teaching has a significant promotion effect on the sit-up scores of girls. This study facilitates teachers to innovate teaching methods and promotes the process of digital teaching reform in physical education.
Research on the Path of High-Quality Development of Student Management under the Explanatory Structural Model Oriented to Solve the Dilemma of Collaborative Governance of Student Management in Colleges and Universities
Authors: Wang Rui
Published: January 2024

This paper firstly studies the student management model, analyzes the mechanism of explaining the operation of the structural model, and proposes the DEMATEL method. Secondly, the ISM model is established on the basis of DEMATEL, and the cross-matrix multiplication method is introduced to explore the diffusion of interrelationships among factors in the system. And finally, the construction of the DEMATEL-ISM model is completed. Then, 11 experts were selected to set up an ISM group to construct the relevant reachability matrix after determining the key factors of the problem, and a multi-layer recursive order structure model was established based on the high-quality management influencing factors. Finally, an empirical examination was conducted to examine the overall effect of student management quality in S colleges and universities. Among the key factors of student management, classroom management was identified as the most critical factor affecting the quality of student management, with the ratio of the most important and the important summed up to 76.1%. Among the classroom student participation in higher education, the highest score was given to participatory behavior, with an interval between [2,5] and a mean value of 3.4808. The quality of student management in higher education was characterized by a high level of dissatisfaction among students and teachers, which was 41.94% and 51.28%, respectively. It can be seen that daily management, moral education, teacher management, and teacher competence are insufficient. Colleges and universities need to strengthen the construction of these 4 aspects and put forward relative coping strategies for the deficiencies that exist.
Application of AI Interaction Design in the Teaching Model of Landscape Topics Course
Authors: Zhou Yangxiaoxiao , Xia Xing
Published: January 2024

In this paper, we first define the limb node coordinates through the established limb node coordinate system and evaluate the behavior of the human body through the constructed posture sequence to analyze the human body’s body characteristics, such as the area of concern and the emotional level. Then, a new model of landscape theme course teaching was designed based on AI interaction design technology, the human-computer interaction learning needs were analyzed, and a human-computer interaction landscape course learning system was established. Finally, the differences in students’ cognitive ability, learning motivation, and learning emotion under the AI interactive teaching environment and traditional teaching methods were compared, and the advantages of AI interactive teaching were analyzed. The results show that the SD value of students’ behavioral attitudes in the teaching mode based on interactive technology is 27.78±2.34, which is more than the SD value of the ordinary teaching mode.2 In terms of goal attitudes, the SD value of the experimental class is about 4.05 more than that of the control class, and the difference is significant. The interactive teaching mode of AI effectively promotes students’ learning of the landscape topic course, and this study provides positive reference value.
Research on Multiple Evaluation of English Teaching in Higher Vocational School-Enterprise Cooperation in the Era of Multimedia Informatization
Authors: Li Pei
Published: January 2024

With the progress of the information age, the evaluation of students in higher vocational colleges and universities is not single, and more and more colleges and universities pay more attention to the overall development of students and use diversified evaluation of students’ abilities. This paper constructs a multivariate evaluation model for English teaching in higher vocational school-enterprise cooperation based on deep learning networks and forest stochastic algorithms. By analyzing the application of convolutional neural networks in teaching quality evaluation, Sigmoid and Tanh functions are used to improve the efficiency of English teaching quality evaluation. The bagging method in integrated learning involves averaging the model prediction results of each subset to arrive at the final evaluation results. The multivariate evaluation model is utilized in English teaching evaluation to examine the impact of English teaching under multivariate evaluation. The results show that the evaluation accuracy of the pluralistic evaluation model for English teaching ideas, teaching objectives, teaching contents and teaching effects are 0.981, 0.893, 0.904, and 0.924, respectively, and the students’ liking degree of English is increased from 0.459 to 0.793 under the pluralistic evaluation, which is conducive to the improvement of the teaching effect of English in higher vocational colleges and universities, and provides a new reference for the teaching of English. Perspective.
Research on the Cultivation Mechanism of Innovation and Entrepreneurship Ability of Excellent Engineers
Authors: Chen Jinfei , Dong Xianwei , Yang Aixi , Hu Songyu
Published: January 2024

In this paper, after using PSO algorithm to encode the information on innovation and entrepreneurship education resources in universities, N particle is randomly generated to form the initial population, and it is also necessary to continuously update the particles to carry out the adjustment of the initial population size. The mathematical model of hard constraints of all courses of innovation and entrepreneurship teaching is obtained through the fitness function, on the basis of which, according to the objective function of innovation and entrepreneurship education resources in universities, each kind of resource is effectively allocated to the most adapted aspects, so as to realize the optimal allocation of innovation and entrepreneurship education resources in universities. Based on the current situation of innovation and entrepreneurship education at the Polytechnic Institute of Zhejiang University, the research hypothesis and research design are proposed, and the utilization efficiency and allocation efficiency of innovation and entrepreneurship education resources are confirmed and analyzed. The results show that before the experiment, there was a large difference in resource allocation efficiency between groups; the minimum value was 0.123, and the maximum value was 0.187. After optimization, the allocation efficiency is 0.188, with an average growth rate of 19.55%. That is, the PSO algorithm can achieve the optimization of innovation and entrepreneurship education resource allocation at the Polytechnic Institute of Zhejiang University. The four dimensions of innovation and entrepreneurship education: theoretical education, practical education, teacher quality, educational support and initiative personality of the three dimensions, motivation, change and resilience are in the presence of each other in the middle of the work, and the correlation coefficient is concentrated in the role of 0.5 on average. This study further stimulates the students passion for innovation and entrepreneurship, which is of great significance to the cultivation of students innovation and entrepreneurship abilities.
The Rationale of Physical Education and Aesthetics in the Context of Big Data and the Value and Significance of its Implementation in Colleges and Universities
Authors: Chen Bing , Liu Shuqiong , Chen Lihe , Zhang Fangping
Published: January 2024

This paper first takes the deep learning theory as the basis of the thesis of sports and aesthetic education, constructs the flipped classroom teaching model of sports and aesthetic education based on the theory, and introduces the Bayesian estimation theory and the structural equation model to apply it to sports and aesthetic education. Secondly, the research object and method are selected for the flipped classroom teaching model of physical education and aesthetic education, and the teaching process of the flipped classroom experiment and the assumptions related to students’ learning satisfaction are given. Finally, the application value of physical education and aesthetics in colleges and universities is analyzed through the convergence of path coefficients in Bayesian structural equation modeling and hypothesis testing. When the number of iterations reaches 100*103 times, the H6-H11 path coefficient convergence value interval is [-22.5, 14.2]. The convergence interval fluctuates a lot and shows a more unstable trend than the H1-H5 path coefficient. Students learning satisfaction will have a direct effect on their aesthetic ability and improve their aesthetic awareness, and the path coefficients are 0.629 and 0.524, respectively. Deep learning theory based on sports and aesthetics in colleges and universities under the background of big data can improve students’ learning satisfaction and then promote the enhancement of students’ aesthetic ability and aesthetic awareness.
The Value and Realization of Choral Conducting Talent Cultivation for Music Teachers in the Context of Deep Learning
Authors: Han Weiwei
Published: January 2024

Focusing on virtual chorus, this paper analyzes the training process of VR technology and music choral conductor talents. After the construction of the online data platform, the image splicing, image alignment and image fusion algorithms of VR technology are integrated with the Harris corner detection improvement algorithm to realize the virtual chorus in the context of deep learning. The influence of family support and school aesthetic education on various dimensions of psychological needs for talent cultivation was modeled using structural equation modeling. Based on the data of music teachers using VR technology, mediated effect analysis and total effect analysis were conducted to analyze the factors influencing the use of imagery with VR technology. ANOVA was utilized to compare the data on the four dimensions of rhythmic memory, pitch, melodic memory, and listening ability to verify the effectiveness of VR technology on music teachers’ talent cultivation. The total effect analysis showed that the order of the influence of each influencing factor on the intention to use was 0.361>social influence 0.263>perceived usefulness 0.263>perceived ease of use 0.251>computer self-efficacy 0.169>convenience conditions 0.162>job relevance 0.134>simulation 0.075.
Application of Sustainable Education in Chinese Language Education in the Context of Big Data
Authors: Nan Yunfan
Published: January 2024

This paper explores all student related data using educational data mining techniques to draw conclusions about their performance and behavior. The main idea and theoretical basis of Random Forest is described, the importance of each feature is calculated using Random Forest based Important Feature Selection Algorithm, and each feature is ranked and the best feature is selected as the effective feature for constructing the performance prediction model. By Light GBM is to further improve the GBDT algorithm and XGBoost algorithm to construct the Light GBM grade prediction model in order to improve the training speed and the prediction ability of the model. In order to verify the feasibility of the constructed model, the application of sustainable education in Chinese language education is tested from various aspects such as model testing as well as learning behavior. The results show that the accuracy of the Ligth GBM grade prediction model increases from 0.68 to 0.918 when the course progress is raised from 10 to 100, i.e., the accuracy of the Ligth GBM grade prediction model in predicting students’ grades gradually increases as the course progresses, so that it can effectively analyze the application of sustainable education in Chinese education.
Innovation of Administrative Management System of Universities Based on Cloud Computing
Authors: Wang Li
Published: January 2024

In the traditional administrative management mode of higher education institutions, different departments work separately, and it is difficult to realize the sharing of information. This paper follows the hierarchical design of J2EE multilayer architecture to build an administrative management platform for colleges and universities. Through cloud computing technology college management information through Hibernate mapping to the object table to achieve data storage and sharing. Simulated annealing algorithms and genetic algorithms are introduced into the system to realize the optimal scheduling of administrative tasks and promote the overall collaborative efficiency of the task process. Finally, the workflow analysis is carried out on the practical cases of administrative management in colleges and universities, and the optimal scheduling of administrative tasks t
1 ~ t
9 in colleges and universities is completed. The results show that the platform 400Vuser under the integrated response time of 2.833 seconds less than the expected 3 seconds, the maximum number of concurrency in the maximum response time constraints can reach 4500 or so, to meet the performance requirements of university administrative management. And task t
1 ~ t
9 completes the optimal scheduling in the experiment, saving a total of 2 resource types. This system is of great practical significance in improving the efficiency of administrative offices in universities, reducing human errors and saving labor costs.
Research on the Impact of Elective Subjects of College Entrance Examination on Talent Cultivation of Higher Vocational Colleges Based on Students’ Cognitive Behavioral Characteristics
Authors: Liu Xiaoyong
Published: January 2024

The reform of the optional subjects of the college entrance examination under the new situation puts forward higher challenges to the talent cultivation of higher vocational colleges. In this paper, for students entering higher vocational colleges and universities after the new college entrance examination, the random forest framework is improved by mining students’ homework and quiz data with PCA dimensionality reduction. Behavioral feature extraction using Random Forest and coding definitions are proposed after feature screening. Based on general feature coding, the behavioral group differentiation extraction of higher education students was constructed, which finally provided label classification of students’ cognitive-behavioral features. After analyzing the impact of the optional subjects on the quality of higher vocational students, the learning behaviors of higher vocational students were dissected. The probability density distribution plots of students’ entry rates show that the overall probability density distribution curves of entry for different students are significantly different. The wave heights of the first, second, third and fourth academic years were 10.25, 16.48, 13.24 and 12.61, respectively, and the study behavior of senior students after the selection of subjects in the college entrance examination showed a unique pattern. In response to the behavioral performance of higher vocational students, institutions need to scientifically use assessment reports to launch talent development work.