bluuebunny/crossref_metadata_2025_split huggingface dataset:
Literature and art integration education: A Study on the Integration of Teaching Resources in Colleges and Universities in the Context of “Five Educational Programs”
Authors: Dong Fangfang , Shen Yandong 
Published: June 2024

Abstract
The “five education” is a new way of thinking and a new paradigm of educational practice in the new era. After analyzing the integrated teaching practice model in the context of “five education” from multiple dimensions, the study establishes a teaching resources integration index system based on the CIPP evaluation model in terms of background, input, process, and result. Taking the integration of teaching resources in the College of Fine Arts and College of Literature of a university in Xinjiang as the research object, analyze the integration measurement of teaching resources and the influencing factors of teachers’ teaching ability. The results show that the teaching management process is the greatest contributor to the integration of teaching resources (0.251). The integration of teaching resources in the sample universities is at a good level (3.811), and their faculty management and teaching process management are excellent. The positive and significant influence of teachers’ teaching cognitive ability, teaching practical ability, and teaching monitoring ability and their dimensions on teachers’ teaching ability was verified (p < 0.05), and the degree of influence was moderate. This paper discusses the integration of teaching resources in the context of “five education”, which can help to promote deep change in classroom teaching and build a high-quality education system.
A Theoretical Study on College English Reading Teaching Based on SOLO Classification Theory
Authors: Fang Jing , Zeng Wenli 
Published: June 2024

Abstract
College English reading instruction represents a crucial component in enhancing students’ overall linguistic competencies. The advent of cognitive psychology has facilitated the application of the SOLO categorization theory as a novel approach to augmenting students’ proficiency in English reading. This study devises a teaching model tailored to college English reading based on the SOLO categorization theory and implements a systematic research design to evaluate its effectiveness. The efficacy of this model is assessed by comparing the changes in English reading learning attitudes, scores, and capabilities between an experimental group and a control group, using pre-and post-test results. The findings indicate that the mean difference in the English reading learning attitudes between the two groups expanded from 0.09 at the pre-test stage to 0.54 at the post-test stage. Moreover, the experimental group exhibited a substantially greater increase in English reading scores, with an improvement of 14.16, compared to 3.68 in the control group. In terms of English reading abilities, the experimental group outperformed the control group across four dimensions, with increases of 2.86, 1.04, 1.76, and 3.28, respectively. Overall, the university English reading teaching model grounded in SOLO classification theory significantly enhances students’ attitudes towards English reading and effectively boosts their reading achievements and capabilities.
Research on the Path of Integrating Chinese Traditional Culture in Civic and Political Education in Colleges and Universities Toward the Implicit Logic Construction of Emotional Identity Enhancement
Authors: Fang Shu 
Published: June 2024

Abstract
Chinese traditional culture, as an important part of enhancing cultural self-confidence, needs to be further integrated into the existing ideological education of colleges and universities in order to improve students’ cultural self-confidence. This paper centers on the research of the excellent Chinese traditional cultural identity of contemporary college students, supported by multidisciplinary theoretical knowledge. It constructs a Chinese outstanding conventional culture identity system through the entropy power method and hierarchical analysis method. After that, the questionnaire survey method is used to collect data to statistically analyze the content, the mathematical statistics method is used to verify the results, and the logical analysis method is used to construct the specific framework of the article, which demonstrates the influence of the integration of Chinese traditional culture into the teaching of ideology and politics in colleges and universities on students’ cultural self-confidence and emotional identity. The empirical analysis shows that in the 1087 sample Chinese traditional culture Civics courses, the average score of cultural self-confidence of the sample college students is 3.8406, and the average score of cultural identity is 3.6766. Through learning and experiencing Chinese traditional culture, college students deepen their recognition of the integration of Chinese traditional culture into ideological and political courses and enhance their cultural self-confidence and emotional identity.
Ideal Sequence Couple Design for Split Circle Classes with Different Cycle Lengths
Authors: Lin Liying , Zheng Luliang 
Published: June 2024

Abstract
The split-circle class and the generalized split-circle class are commonly utilized mathematical tools in sequence design. They have been extensively applied in the study of construction methods for almost different set couples and ideal sequence couples. In this paper, on the basis of sequence couplings and difference set couplings, the finite field, and Chinese remainder theorem are utilized to combine computers to carry out the design of the generalized subcircle class construction algorithm, and based on this algorithm, the search algorithm for sequence couplings is designed. In addition, based on the theory of fractional circle classes and fractional circle numbers, the article integrates the equivalence relations between difference families and ideal balanced binary almost complementary pairs. Then, it obtains the ideal sequence even construction method based on fractional circle classes. For the effectiveness of the sequence couple search algorithm, a search experiment is set up with a binary sequence couple as an example. Its efficiency is analyzed in comparison with that based on the difference table and the bit operation, and an example of the ideal sequence couple construction under different cycle lengths is analyzed based on the construction method. The search algorithm combined with the generalized fractional circle class can obtain the data sequences of optimal binary sequence couple pairs, pseudo-random binary sequence couples, and ideal three-valued autocorrelated binary sequence couples. The average computational efficiency of the algorithm is within 13ms and 3 when both s ≡ 1 (mod 4) and s ≡ 3 (mod 4), and the parameters of the binary and quadratic periodic ideal sequence couples obtained by the algorithm meet the parameters of (10,2,5)LACSP
3
4 when Z takes the value of 2 or R

x
1
(γ) = –1 + 2t, respectively. Carrying out the construction of perfect sequence couples under different cycle lengths with the generalized fractional circle class the construction of ideal sequence couplings with varying lengths of cycle in the generalized fractional circle class can obtain a variety of forms of sequence coupling data, which enhances the application range of ideal sequence couplings.
Research on the Enhancement Path of Physical Education Teaching in Colleges and Universities under Artificial Intelligence Technology
Authors: Luo Yanping , Luo Lingping , Luo Danping 
Published: June 2024

Abstract
Smart sports teaching is regarded as a new type of education mode, aiming to improve the quality and effect of sports teaching through the use of artificial intelligence technology. The article first combined the opportunities for digital transformation of college sports teaching given by AI technology, combined the application scenarios of AI technology to innovative college sports teaching, and established a smart sports teaching platform with smart IoT architecture. The OpenPose algorithm is utilized to extract the key points of the skeletal movements of sports teaching, and the optimal matching planning is carried out by the DTW algorithm combined with the ICP algorithm for the movement postures of sports. For the effectiveness of the algorithm, corresponding identification verification experiments were designed, and teaching comparison experiments were created on the intelligent sports teaching platform. The OpenPose algorithm spent only 0.284s in acquiring the skeletal key points of sports, and the average success rate of matching the movement postures of sports was 89.75%. There was a maximum difference of 10.81 points in the stage movement assessment between students of class A and class B, and the negative interest of students of class A in physical education was reduced by 40.97%. Negative interest decreased by 40.97%. Relying on the intelligent sports teaching platform and combining artificial intelligence technology to technologically upgrade sports teaching in colleges and universities provides a new path to enhance the quality of sports teaching in colleges and universities.
Analysis of the Professional Development Mode of Higher Vocational Pre-school Education Teachers Based on “Internet + Education”
Authors: Luo Yuenian 
Published: June 2024

Abstract
Under the influence of the Internet + education, teaching methods are obviously diversified, which lays a good foundation for the improvement of teaching quality and efficiency, teaching development, and so on. This paper takes the professional development needs of preschool education teachers as the orientation and establishes the professional development mode of “external scintillation + internal molding” in combination with “Internet + education”. Taking the teachers of preschool education majors in higher vocational colleges in Province Y as the research object, we designed a questionnaire to obtain the relevant data, estimated the parameters of the structural equation model by partial least squares method, and established the PLS-SEM model by combining with the needs of teachers’ professional development. The demographic variables were analyzed for the current situation of teachers’ professional development in senior preschool education, and the influencing factors of teachers’ professional development and their mediating effects were verified in terms of internal factors and external factors. There is no significant difference in teachers’ professional development in terms of gender, and the older the age, the stronger the professional development abilities are. The professional development scores of teachers of different senior preschool education majors are all above 4.1, and the external factors possess a strong mediating effect on teachers’ professional development ability through the internal factors, with a confidence interval of [0.217, 0.735]. Higher-level preschool education needs to focus on teachers’ technical training in order to improve their professional development ability and provide more professional teaching talents for the cause of early childhood education.
Research on the ascending path of traditional media’s intelligent transformation based on multivariate statistical analysis
Authors: Lyu Xinli 
Published: June 2024

Abstract
Under the background of the new technological revolution and the rise of new media, traditional media try to innovate the media form, update the internal resource structure, enhance the ability of environmental adaptation, and then reshape their competitive advantages through intelligent transformation. In this paper, we comprehensively use factor analysis, cluster analysis, case study, and other methods in multivariate statistical analysis to conduct systematic research according to the ascending path of “the reasons for the continuous decline in the competitive advantage of traditional media → intelligent transformation strategy of traditional media → intelligent transformation to reshape the competitive advantage of traditional media”. Using factor analysis, we aim to obtain the minimum variance estimation of all residuals to construct a model that empirically analyzes the mechanism of intelligent transformation to reshape the competitive advantage of traditional media. The results of the study show that there is a complex group relationship between intelligence maturity, resource base, dynamic capability, resource orchestration capability, and the competitive performance of traditional media, and the consistency and overall consistency of the four conditional groupings are greater than the critical value of 0.80, and explain 58.7% of the cases. It indicates that intelligence maturity, resource base, dynamic capability, and resource orchestration capability constitute the competitive advantages of traditional media’s intelligent transformation and drive traditional media’s business development.
Construction and Evaluation of College English Translation Teaching Model Based on Multimodal Integration
Authors: Ma Fei 
Published: June 2024

Abstract
Amidst the swift advancements in multimedia technology and artificial intelligence, the exploration and deployment of intelligent educational technologies that leverage deep learning and neural networks have intensified. This study introduces an innovative automatic student behavior recognition model tailored for college English translation classrooms. Utilizing Multimodal Fusion, the model employs a Histogram of Oriented Gradients (HOG) to capture the facial expression modality and Mel Frequency Cepstral Coefficients (MFCCs) to discern the linguistic modality of students. Through Linear Discriminant Analysis, the model effectively reduces the dimensionality of multimodal data, facilitating the integration of both modalities for enhanced feature fusion and decision-making processes. Following the acquisition of multimodal emotion recognition data, students evaluate the recognized emotion values, enabling the calibration of an emotion scale. This scale serves to align specific learning emotions with corresponding learning states, providing a framework to assess students’ engagement levels. A notable improvement was observed over four weeks, with the average incidence of students classified under a “positive” learning state escalating from 9.5 to 26.7. This significant rise underscores the increasing engagement and interaction within the college English translation classroom, facilitated by the Multimodal Fusion model. It illustrates the enhanced convenience for educators in managing classroom dynamics.
Silk Road Concerto: Spatial Narratives of Architectural Cultural Heritage and Linguistic Landscapes in Xinjiang
Authors: Shen Yandong , Dong Fangfang 
Published: June 2024

Abstract
The Silk Road is another important international trade route emerging in Eurasia, and Xinjiang, as an important node of the Silk Road, is of great significance in effectively sorting out and studying the architectural cultural heritage of Xinjiang. This paper tries to introduce the concept of spatial grouping in the exploration of the conservation method of Xinjiang’s architectural and cultural heritage and deeply excavate the spatial grouping relationship between each heritage point from the spatial perspective. It combines the quantitative analysis method of space syntax and topological calculation to provide a novel method and thought for studying the spatial narrative of architectural cultural heritage and its linguistic landscape in Xinjiang. The architectural cultures of Marathi Grassland, Sayram Lake, and Kanas Lake in Xinjiang Uygur Autonomous Region are selected as the research objects, and the linguistic landscapes are divided into two dimensions of official and private linguistic landscapes for specific analysis. In the evaluation of the spatial perception of cultural architecture in Xinjiang, the weight of the permeability factor consisting of four dimensions, namely width, size, dynamics, and enclosure, is 0.6579, which verifies the feasibility of quantitative research and provides a supplement based on subjective visual perception. It is also found that both the official and private language landscapes have the national common language as the dominant language, and the language landscapes of instructional function, behavioral regulation function, and cognitive function have a larger proportion. In contrast, the other languages provide convenience for foreign tourists to a certain extent.
Discussion on the development of sports industry in China based on the perspective of “low carbon economy”
Authors: Wu Bo 
Published: June 2024

Abstract
Low-carbon economy is an important part of national strategic objectives, which not only refers to an ecological and environmental economic model but also is the main direction for the development of the sports industry. Based on the characteristics and components of the low carbon economy, this paper utilizes the environmental Kuznets curve and decoupling theory to set the goal of low carbon economy development in the sports industry and explore the influence mechanism of low carbon economy on the structural development of the sports industry. Starting from the perspective of the development of the sports industry structure, a multi-period double-difference model is designed to calculate the net effect of a low-carbon economy on the sports industry structure. The relationship between the low carbon economy and the structural change of the sports industry is visualized using non-linear fitting and partial derivatives. The evaluation model of sports industry development capacity is constructed to evaluate the development of the sports industry from two perspectives: economic performance and economic value added. The experimental results show that the impact of a low carbon economy on the structure of the sports industry is divided into three stages, namely, coefficient value <0.15, coefficient value in [0.15, 0.25), and coefficient value ≤0.25. The low-carbon economy has a marginal positive effect on the sports industry in the second stage. The calculation of EVA value shows that the EVA value of the subject sports enterprises is greater than 0 from 2017 to 2023, which indicates that the sports industry realizes value creation along with the development of the low-carbon economy.
Path Analysis of Innovative Models of Higher Education Management and Student Cultivation Mechanisms in the Internet Era
Authors: Wu Haisheng 
Published: June 2024

Abstract
In the context of the Internet era, the cultivation of innovative talents is not only the core work of the educational management of colleges and universities but also the essence of the optimization of the educational management path of colleges and universities. Based on this paper for the reform and development path of college education management to think, explore the intrinsic correlation between the two, and, from the perspective of innovative student training, put forward the higher education management reform strategy. Combining the SMO algorithm and SVM-light algorithm, we developed a Lib-SVM-based evaluation model for higher education management mechanisms, applied the PSO algorithm to allocate higher education resources, and made intelligent decisions on higher education management. The hierarchical analysis method and fuzzy analysis method are used in turn to determine the content of higher education student training evaluation and to calculate and analyze related data. The overall satisfaction of students with the higher education management strategy proposed in this paper is 4.449, and there is a significant difference between innovative and traditional student cultivation modes, t=32.4847, p<0.01. Innovative student cultivation methods are rated higher. In the evaluation of student training quality, the total level factor evaluation result is 79.08, which is in the middle range. The practical effect of higher education management and student training paths proposed in this paper is good.
The development path of micro-course concept and university music education mode under the background of “Internet+”
Authors: Xiu Xueqing 
Published: June 2024

Abstract
This study integrates the microcourse concept into the realm of university music education, leveraging the benefits of microcourses tailored specifically for this discipline. It introduces a problem-solving-oriented teaching model for university music microcourses. The paper delves into the unique attributes of music education microcourse resources and addresses the need for sharing these resources across universities. To this end, it advocates the use of the PBFT consensus algorithm, supplemented by enhancements to the algorithm itself, in conjunction with data security storage technologies to bolster the protection of educational resources in university music micro-courses. Furthermore, the research evaluates the effectiveness of the microcourse model in university music education by examining the independent learning capabilities and problem-solving skills of the learners. The analysis focuses on the impact of learning behaviors on the outcomes under the microcourse framework. The dimensions of learners’ independent learning ability are assessed in terms of implementation and adjustment, goal-setting and planning, and application and reflection. The findings reveal mean values of 3.9865±0.68024, 3.7696±0.68595, and 3.6508±0.60124 for these dimensions, respectively. Notably, the dimension of implementation and adjustment scored the highest, indicating that learners are capable of timely adjustments to their learning status in alignment with their educational goals and plans. The study concludes that support from music education micro-courses significantly enhances learners’ independence in learning, and the synergistic effect of this model presents distinct advantages.
Visualization Challenges of Virtual Reality 3D Images in New Media Environments
Authors: Sun Yige , Zhang Zixuan , Yan Nan 
Published: June 2024

Abstract
This paper proposes a three-dimensional image visualization process to face-drawing three-dimensional image reconstruction algorithm to obtain the data field with three-dimensional space, using color adjustment based on global color correction and local Poisson fusion to optimize the splicing seams between the texture color blocks and updating the visualization technology of three-dimensional images. Divide the digital display design and create a virtual reality visualization display using 3D modeling in combination with the new media environment. Propose design steps to visualize virtual reality three-dimensional images in the new media environment by combining the key algorithms of three-dimensional image visualization from the previous section. Combined with the application of new media displaying 3D images, the concept of artifact shape in reconstructed images is proposed to analyze the quality of 3D image reconstruction by taking the Herman model and Sheep-Logan model as the research object. Test experiments are conducted to examine the visual impact of texture mapping algorithms, and different sampling intervals are set to measure the drawing time of 3D reconstruction. For the data size and number of pictures of other organizations, the processing time of the 3D image reconstruction algorithm based on surface drawing is no more than 2s. The denser the sampling points are, the higher the degree of fitting, the more complete the preservation of isosurface information is, the finer the effect of 3D reconstruction, and the higher the quality of the image.