bluuebunny/crossref_metadata_2025 huggingface dataset:
A Road Map for Sustainable Municipal Solid Waste Management In Lagos: Using Scotland As A Case Study Of Best Practice
Authors:   Sustainable Energy and Allied Disciplines Glasgow Caledonian University, London, Olaniyi, T.K. , Ajayi A.J.
Published: January 2024

This paper presents a road map for sustainable Municipal Solid Waste Management (MSWM) in Lagos, using Scotland as a case study of best practice. Lagos status as an industrial and commercial hub of the Nigerian economy, complemented by its rapid population growth and urbanisation, has complicated the problem of achieving sustainable solid waste management, thereby making it a subject of concern in the literature. Various authors have expressed issues with the types of municipal solid waste generated, waste treatments, and barriers to sustainable municipal solid waste management in Lagos. The existing collection service inosho Lagos has been rated inefficient despite the weekly average evacuation exercise, as waste accumulation exceeded the existing storage and collection facilities, resulting in an unclean environment and significant environmental degradation. This study provides a view of waste management practices in Lagos and the lessons Lagos can learnt from Scotland in achieving sustainable municipal solid waste practice. A total of eight interviews were conducted with authorities and experts involved in municipal solid waste in both Lagos and Scotland to gather their experience and opinions in their respective regions and analyse them thematically. The findings from this research highlighted some initiatives directed towards promoting sustainable waste practices in both Lagos and Scotland. These empirical findings were used to propose a framework that could be used to achieve a circular economy in Lagos and identify areas for improvement in Scotland. This would promote the creation of more jobs and a subsequent reduction in carbon emissions and raw material importation in both regions. Future work should involve informer actors in interviews to get a broader view and increase the accuracy of the data collected on MSW practice in Lagos and provide analysis of strategies used and their impact to engage communities and promote behaviour change towards sustainable MSW management practice in Scotland. Keywords: Municipal Solid Waste, Management Practice, Lagos, Scotland. Proceedings Citation Format Olaniyi, T.K. & Ajayi, A.J. Jane (2023): A Road Map for Sustainable Municipal Solid Waste Management In Lagos: Using Scotland As A Case Study Of Best Practice.Proceedings of the 37th iSTEAMS Multidisciplinary Cross-Border Conference. 30th October – 1st November, 2023. Academic City University College, Accra, Ghana. Pp 43-56 dx.doi.org/10.22624/AIMS/ACCRACROSSBORDER2023V2P4
Qualitative Analysis of Social Media Influencers Impact On Sustainable Brand Equity: A Case Study of Small Businesses in Nigeria
Authors:   SEAD Research Group Glasgow Caledonian University London Campus, London United Kingdom, Obahiagbon Ebiuwa Gladys , Nwankwo Nkechi , Olaniyi, Titus Kehinde
Published: January 2024

This study investigates the impact of social media influencers (SMIs) on small business brand equity in Nigeria. With the country facing significant economic challenges and a growing unemployment rate, small businesses have become increasingly important for job creation and economic development. However, many small businesses struggle to establish their brand in a highly competitive market. The rise of social media influencers has opened new opportunities for small businesses to enhance their brand equity through innovative marketing strategies. The research employed an inductive approach, utilizing qualitative data collection methods through semi-structured interviews. A total of six small business owners who have engaged SMIs for promotional campaigns were interviewed. Findings from the study revealed that SMIs can have a significant positive impact on small business brand equity in Nigeria. They can increase brand awareness, improve brand associations, and foster brand loyalty. However, the study also identified challenges, such as influencer selection, budget constraints, and the authenticity of influencer endorsements. The research provides valuable insights for small businesses seeking to leverage SMIs in their marketing efforts, as well as recommendations for improving the effectiveness of such campaigns. The findings contribute to the growing body of knowledge on influencer marketing and have practical implications for small business owners, marketers, and policymakers in Nigeria. Keywords: Qualitative Analysis, Social Media, Influencers, Brand Equity, Businesses in Nigeria Proceedings Citation Format Obahiagbon, Ebiuwa Gladys, Nwankwo, Nkechi & Olaniyi, Titus (2023): Qualitative Analysis of Social Media Influencers Impact On Sustainable Brand Equity: A Case Study of Small Businesses in Nigeria. Proceedings of the 37th iSTEAMS Multidisciplinary Cross-Border Conference. 30th October – 1st November, 2023. Academic City University College, Accra, Ghana. Pp 69-82. dx.doi.org/10.22624/AIMS/ACCRACROSSBORDER2023V2P6
Entrepreneurship as A Tool for Sustainable Employment
Authors:   SEAD Research Group Glasgow Caledonian University London Campus, London United Kingdom, Osho Ademola , Olaniyi Titus Kehinde
Published: January 2024

This paper examined the role of entrepreneurship as a tool for sustainable employment, with emphasis on critical indicators such as job security, income and wages. Employing a quantitative approach, the study collected data from 250 questionnaires and utilised regression analysis to investigate the relationship. The findings of the study revealed an R square value of 82.1%, establishing a significant and strong correlation between entrepreneurship and sustainable employment, particularly through job security, and income and wages. In addition, the study incorporated ANOVA results with an F-value of 281.17 and a p-value below 0.001.The study concluded that entrepreneurship is a vital tool to drive sustainable employment, spur economic growth and development within the country. Keywords: Entrepreneurship, Unemployment, Sustainable Employment, Nigeria. Proceedings Citation Format Osho Ademola Joel, Titus Kehinde Olaniyi (2023): Entrepreneurship as A Tool for Sustainable Employment. Proceedings of the 37th iSTEAMS Multidisciplinary Cross-Border Conference. 30th October – 1st November, 2023. Academic City University College, Accra, Ghana. Pp 83-92. dx.doi.org/10.22624/AIMS/ACCRACROSSBORDER2023 V2P7
Source Documents and Credibility of Financial Reports in the Accounting Cycle
Authors:   Department of Accountancy,  School of Business and Management Studies,  The Federal Polytechnic, Ile-Oluji, Ondo State, Nigeria, Ibo S.A , Akindutire S.O. , Omole I.I.
Published: January 2024

The study examined source documents with authenticity of the financial statements in accounting cycle. Exploratory survey design was adopted because there are few studies to refer to. This study covered Sixty (60) employee of Finance and Supply, Budget and Planning Accounts and Audit unit of (Cocoa Products (Ile-Oluji) Ltd and Ile-Oluji Oke-igbo LGA). The total number of respondents responded were 48. The appropriate number of staff was selected from the population using (Taro Yamani formula). Data collected through the use of questionnaire were presented and analyzed with table of frequency and simple percentage method as the descriptive statistics pattern chosen. Chi-square estimation method was employed for the Hypotheses test. With reference to the practical nature of Accounting and the contributions of various scholars to the pool of knowledge, it was discovered that source documents served as an important tool for the Accounting processes which added to the credibility of the financial statements. It was concluded that, if the identification of genuine source documents is jettisoned, accounting procedures cannot be completed, this buttresses the fact that source documents have a great positive impact on financial reports, if properly identified and recorded. There is relationship between genuine source documents and authenticity of the statements of account in accounting cycle. This study recommends among others that Accountants of organizations should take much cognizance of genuine source documents and post transactions to relevant prime books in order to ascertain how genuine and credible the financial statements and activities of an organization can be. Key words: Source Documents, Credibility, Financial Reports, Accounting Circle Journal Reference Format: Ibo, S. A., Akindutire, S.O. & Omole, I.I. (2023): Source Documents and Credibility of Financial Reports in the Accounting Cycle. Humanities, Management, Arts, Education & the Social Sciences Journal. Vol. 12. No. 1, Pp 1-16 www.isteams.net/humanitiesjournal. dx.doi.org/10.22624/AIMS/HUMANITIES/V12N4P1
Vertex-degree-based topological indices of arbitrary sets of hexagons in the regular hexagonal grid
Authors: Comic Lidija , Ralevic Nebojsa
Published: January 2024

Vertex-degree-based indices have been widely used for describing and predicting physical, chemical and biological properties of molecules. They are expressed through the numbers mi,j of the edges connecting the vertices of degrees i and j. We generalize some known formulae for mi,j from graphs defined by simply connected sets of hexagons to those defined by sets of arbitrary topology in the regular hexagonal grid. We compute the most commonly used indices for three families of graphs in this grid.
Atomic partial charge model in chemistry: chemical accuracy of theoretical approaches for diatomic molecules
Authors: Uhliar Matej
Published: January 2024

Atomic partial charges cannot be physically measured but they play a significant role in many chemical theories and theoretical models. Therefore, they are, evaluated from experimentally acquired properties or calculated by quantum chemistry computational methods. This study is focused on determining chemical accuracy of various theoretical methods of computing atomic partial charges based on quantum chemistry. Values of gas-phase atomic partial charges were acquired by Mulliken (MUL) population analysis, natural bond analysis (NBO), Merz-Singh-Kollman (MSK) scheme, and atomic polar tensor (APT) charges computed considering Density Functional Theory and ab initio Møller-Plesset up to the second order levels. Correlations between the calculated values were determined by principal component analysis (PCA) and further confirmed by linear regression. The best agreement between experimentally evaluated atomic partial charges and theoretical values was obtained with the MSK scheme.
Research on the Synergistic Development of Ideological and Political Education of Non-public Enterprises and “Sanxin” Party Building in the Era of Artificial Intelligence
Authors: Yang Xue
Published: January 2024

Based on artificial intelligence technology, this paper integrates ideological and political education with “Sanxin” party building and uses mean density center estimation to get the correlation degree between user data metric words and educational documents. Combined with the fuzzy genetic algorithm to calculate the corresponding positional weights of various words, the information matching is realized through the similarity function, and the K-means clustering algorithm is used to effectively predict the learning behavior of party members. The highest number of course visits to the intelligent ideological and political education platform reached 880, and the highest number of readers of educational articles with party building reached 4,700. The integration of ideological and political education and the “Sanxin” party building enables the party members to establish the correct value of life and promotes the long-term development of new economic organizations, new social organizations, and new employment groups.
Using Principal Component Analysis to Explore the Influence of Civic Education on Students’ Mental Health in Colleges and Universities
Authors: Liu Feng
Published: January 2024

This paper first explored the implementation steps of principal component analysis, standardized the raw data, and calculated the correlation matrix, eigenvalues and variance contribution ratio. The principal components were identified, the principal component factors were thoroughly evaluated, and the comprehensive scores of the principal components were calculated. Then, the model of this paper was examined, and the principal component factors were extracted using the algorithm. Finally, the analysis of the correlation between Civic Education and Mental Health, as well as the predictive effect of Curriculum Civic Education on the level of cultural self-confidence and mental health were analyzed. The results show that the correlation coefficient between curriculum civic politics and happiness is 7.45. Curriculum civic politics is significantly positively correlated with all positive mental health indicators, r between 0.3-0.4, p<0.01, and with negative mental health indicators, r between −0.4-0.37, p<0.01. This study is important for the active promotion of curriculum civic politics and the enhancement of parenting effectiveness. Promoting the development of college students’ mental health is of great significance.
Innovation and Practice of Educational Management System in Colleges and Universities Based on the Concept of Data Analysis Education
Authors: Liu Jia
Published: January 2024

This paper proposes the evaluation method of college education management mode based on deep belief network (DBN), establishes the evaluation index of college education management mode, takes it as the input of the deep belief network, adopts the divergence algorithm and backpropagation algorithm to learn and optimize the parameters of the deep belief network, and establishes the evaluation model of the education management mode of universities. The evaluation method of the college education management model evaluation of the deep belief network is verified by evaluating the results and performing error analysis on 438 questionnaire test samples. The results show that the number of training steps of the adopted DBN model in the supervised tuning stage is 214, and the error fluctuation range is ±0.6, which achieves the expected effect, indicating that the adoption of the model has accuracy in the evaluation of college education management model. Under the concept of data analysis education, the evaluation method proposed in this paper has a positive significance for the innovation and practice of educational and teaching management systems.
Construction of Intelligent Practice System of Visual Arts Based on VR Technology in Information Age
Authors: Lv Pin
Published: January 2024

Taking visual art intelligence as an entry point, this paper describes the transformation brought by the information age to the expression of visual art. Based on VR technology to build a practice system of visual art intelligence, VR positioning technology is used to locate the three-dimensional coordinates of the operator in order to realize the independent positioning of multiple operators in a large space and avoid positioning interference. Through the eye movement multi-channel interaction algorithm based on head-eye synergy, the two-dimensional interaction task in flow field visualization is completed, and then gesture interaction is added to complete the three-dimensional interaction task. The constructed system was implemented in the teaching of art majors at College Z, and the data were analyzed. The results show that the total average scores of innovative theoretical ideas, interactive experience feeling, symbolic integration of creative content and infinite extension of the multidimensional spatial field are 82.42, 83.57, 80.84 and 80.28, respectively. The data show that teachers, students and parents recognize the intelligent system of visual arts and believe that it improves students’ innovative ability in art creation, enhances the interactive experience feeling of visual arts, and provides data support for the continuous research and exploration of contemporary visual arts.
Artificial Intelligence Technology Helps Spread Costume Design and Arts and Crafts Culture
Authors: Zhang Lei , Cao Chunnan , Ma Yun
Published: January 2024

This paper takes the integration development path of artificial intelligence technology and clothing design as the entry point, analyzes the influence of arts and crafts culture on clothing design, and gives the correlation between artificial intelligence, clothing design and arts and crafts culture. In order to make the style and color of clothing design more diversified, Fuzzy C-means is used to extract the color of the elements of arts and crafts culture, and adaptive optimization is used to compensate for the chromaticity of the color through artificial intelligence technology. A texture generation network is constructed based on the generative adversarial network to obtain the shape and texture style of the images of arts and crafts cultural elements in apparel design. To verify the effectiveness of the above method in spreading apparel design and arts and crafts culture, experimental validation analysis was conducted. The results show that the Fuzzy C-means algorithm improves PSNR by an average of 1.094 dB and SSIM by between 1.1% and 2.5% compared with the SVD-Means feature color extraction algorithm. The error before and after the adaptive optimization color compensation of artificial intelligence technology is only about 0.2%, and the MSE value of the texture generation network is between [1.5*10-3,3*10-3], and the error of its image generation quality is not more than 1‰. Based on artificial intelligence technology, it can fully obtain the elemental patterns and colors of arts and crafts culture and then innovate the style and shape of clothing design, which can also promote the dissemination and development of arts and crafts culture.
Analysis of the Impact of Carbon Finance on Digital Green Technology Innovation of Enterprises
Authors: Zhao Shuai , Hu Peiyao
Published: January 2024

Carbon finance, as a financial tool for adapting to and mitigating global climate change, can guide enterprises to help develop digital green technological innovation and ultimately realize the transition to a low-carbon economy. This paper selects relevant control variables and applies the spatial econometric model to analyze the impact of carbon financial trading policy on enterprises’ green technological innovation, and examines the different impacts of the policy on the number of green invention-based patent applications and the number of green utility model patent applications, respectively. To examine the heterogeneity of regions and enterprise size, the samples were further grouped. Finally, a gray correlation model is used to study the main drivers of the intrinsic interactions among the three systems of digital technology innovation, carbon finance, and industrial policy. Most of the gray correlations between technological innovation and carbon finance indicators are located between 0.5 and 0.7, and the average value of the correlations of all the indicators is higher than 0.60, with only four lower than 0.65, and the highest indicator is 0.666. It indicates that the correlation between carbon finance and digital green technological innovation among enterprises is high.
Research on Reinforcement Learning Algorithm-Based Practical Teaching and Reform Oriented to Enhancement of College Students’ Vocational Ability in Colleges and Universities
Authors: Hu Yuzi , Pan Jiajia
Published: January 2024

In this paper, we first explored the mathematical model of reinforcement learning - Markov decision-making process, solved the Bellman optimal solution by strategy iteration and strategy search method, and realized dynamic planning according to the Bellman optimal solution. Then, the students’ satisfaction with practical teaching and the level of students’ vocational ability cultivation were evaluated, and the influence of practical teaching on students’ vocational ability and vocational adaptability was analyzed. Finally, the reform path for practice teaching in colleges and universities was proposed using the reinforcement learning algorithm and impact analysis. The results show that the learning effect of students in the practice teaching environment is 3.8, the learning effect in the ordinary teaching environment is 3.25, and the effect of practice teaching is significant. The correlation coefficient between practice effect and students’ vocational ability is 0.537, which indicates that practice teaching affects students’ vocational ability. This study provides an important reference value for the construction of practical teaching in colleges and universities, as well as for the reform of the college education system.
The Construction of Online Interactive Teaching Mode of College English in the Background of Internet
Authors: Jiang Lijie
Published: January 2024

In this paper, the propagation law of online teaching knowledge is studied by constructing a learner online teaching interaction network to characterize the position of each learner in this social network. The SI model is used to portray the knowledge dissemination process in the online learning interactive network, fully considering the two types of nodes of teachers and learners as well as the different transfer rates of knowledge dissemination of the two types of nodes, the SI model is improved, and the kinetic equations of knowledge dissemination are constructed. Finally, with the help of Matlab software to simulate the knowledge propagation process in the online English learning of teachers and students, the model was examined, corrected and analyzed, respectively, so as to put forward the optimization strategy of online English teaching interaction mode in colleges and universities. The results show that the path process from t
0 to full dissemination is almost the same in the two online learning interaction networks with N
1 =2000 and N
2 =1000. The higher the degree of connection and participation among learners, the better the interactive learning effect. The optimization strategy for online English teaching interaction modes in colleges and universities proposed in this paper provides certain reference suggestions for improving learners’ interactive learning effectiveness.
Application of BIM technology in dynamic management and control of construction project costs
Authors: Liu Na , Yu Liying , Tong Guoyun
Published: January 2024

This paper analyzes and summarizes the difference between BIM technology and traditional methods in cost management, subdividing the cost index of construction projects into elemental price index, bill of quantities price index, index cost index, and calculating dynamic cost index of construction projects. Based on the cost performance index and schedule performance index, the schedule-cost two-dimensional model of BIM technology is formed to complete the assessment and control of cost performance in order to realize the value analysis of BIM technology in the dynamic cost management of the whole process of construction engineering. Analyze the dynamic cost management of BIM technology in the decision-making stage, design stage, and construction stage of construction projects with examples, focusing on the exploration of engineering cost problems in the construction stage, and analyze the project benefit rate of cost management with BIM technology. Through BIM modeling for collision and error checking and deepening the construction stage design, a total of 503 design collision and error problems are found in total, 15 design change orders are reduced, and about 1,629,480,000 yuan of economic benefits are generated.
Research on the enhancement path of talent cultivation in the integration of dual-creation education and professional education for teacher training majors in colleges and universities based on multivariate statistical analysis
Authors: Ma Heyuan , Yang Xue , Qi Kaiyue
Published: January 2024

In today’s society, under the demand for high-quality talents, the professionals cultivated in colleges and universities should not only master professional skills but also need to have the spirit of innovation and entrepreneurial ability in professional aspects. In this paper, firstly, the multivariate statistical analysis method is explained, and the basic principles of the factor analysis model, principal component analysis method and systematic clustering method are given to analyze the data in the following article. Secondly, starting from the necessity of the integration of bi-initiative education and professional education of teacher training majors in colleges and universities, we constructed the 4344 specialized and innovative integrated talent cultivation model of teacher training majors and constructed an evaluation system to evaluate the effectiveness. Finally, based on the evaluation system, the data analysis of the specialized and creative integrated talent cultivation model was carried out using factor analysis, principal component analysis and systematic clustering method. The results show that in the factor analysis, the highest loading value of the first principal factor is 0.917, the contribution rate of the first principal factor is 39.67%, and the loading value of the principal component factor reaches the highest value of 0.925. The clustering analysis is based on the results of the factor analysis, and the respondents are divided into 4 clusters. The number of people in the 2nd category is more than 30 people, which accounts for about 31.41% of the total number of people. The method of multivariate statistical analysis can be used to analyze the data effectively for the specialized and integrated personnel training mode of teacher training in colleges and universities and also gives the path of specialized and integrated personnel training for teacher training.
Analyzing the Importance of International Law in Current International Relations Based on Linear Programming Models
Authors: Qin Siquan
Published: January 2024

International law is mainly the law between countries, which is the code of conduct for countries to conduct international interactions, and this paper researches the role of international law in international relations interactions. First of all, this paper combines the fuzzy set on the basis of the classical linear regression model algorithm, establishes the fuzzy linear programming model, and explores the fuzzy correlation analysis. Then, taking EU law as an example, the role of EU law in EU relations is analyzed through the theory of EU law, EU and the role of EU law in the EU embodied. Finally, based on the role of EU law, the importance of international law in international relations is studied through a fuzzy linear programming model, and the role of strengthening international law is considered. The results show that the countries consider the legitimacy of EU law to be above 0.9, and the countries’ participation in EU law also ranges from 0.9 to 1.0, and the countries’ self-identification increases by about 0.1 to 0.2 after the enactment of EU law. The correlation coefficients of international law on the construction of the identities of the 10 countries are all greater than 0.75, and the interests of the countries have increased by about 2.3, and international law promotes the order of international relations.
The Construction of Ideological and Political Diversified Education Mode in Colleges and Universities Based on Theory of Multiple Intelligences
Authors: Qiu Jie
Published: January 2024

This paper firstly constructs the ideological and political diversified education model of colleges and universities from the diversified view of Civic and political education, educational objectives, as well as educational evaluation on the basis of language, logic, space and music of the theory of multiple intelligences. Then, on the basis of multiple linear regression analysis models, the step-by-step regression method is used to obtain the key factors affecting the diversified education of ideology and politics and establish the regression model of education quality. Finally, through the establishment of the quality evaluation index system of the ideological and political diversified education model, the quality of the ideological and political diversified education is analyzed by ANOVA, correlation analysis and stepwise regression analysis, and the nature and effect prediction of the ideological and political diversified education model is explored. The results show that the correlation between the quality of education and diversified education ranges from 0.32 to 0.88 and is significant at the 10% level, the significance of the teachers is less than 0.05, the significance of the content of education is less than 0.05, and the significance of the form of education is less than 0.05. The students’ ideology in all dimensions has been improved by more than 1.3. The educational model based on this study can greatly improve the impact of ideological education.
Application of big data technology in traditional dance video movement recognition research
Authors: Sun Zhenyi
Published: January 2024

This paper proposes a multi-feature fusion approach for action recognition under big data technology with the goal of improving traditional dance video action recognition. By analyzing the basic method of dance action, the extraction process of dance action features is analyzed using both single-layer and hierarchical methods. Multi-feature fusion action recognition is chosen as the main method for action recognition. The image and audio features of the dance video are combined to improve the accuracy of recognizing dance actions. Use the optical flow algorithm to construct a histogram of the optical flow direction. The method’s feasibility is explored by applying the multi-feature fusion recognition method to traditional dance movement recognition. The results show that in traditional dance movement recognition performance, the performance of the method of multi-feature fusion recognition is improved by 7.6% compared to other traditional methods. The multi-feature fusion recognition method has more than 50% accuracy in recognizing different traditional dance movements and similar movements in terms of movement recognition accuracy. To a certain degree, this study enhances the efficiency of traditional dance movement recognition and conserves human and financial resources in dance movement recognition.
Artificial Intelligence Technology Boosts the Construction of English Intelligent Teaching Mode in Colleges and Universities
Authors: Zhang Yang
Published: January 2024

With the goal of improving the teaching effect of English in colleges and universities, this paper combines artificial intelligence technology with teaching and constructs an English-intelligent tutoring teaching model. By analyzing the main forms of artificial intelligence in the field of teaching, the advantages of intelligent teaching mode in college English teaching are explored from personalized teaching as well as teaching effect. Combining the RBF neural network to analyze the students’ learning data, the function approximation principle and interpolation method are used to improve the accuracy of the analysis of the students’ data. Using the form of network topology, the information transfer process in English intelligent teaching is explored. To improve the classification of students’ abilities and the prediction of their grades, judgment trees are added to the network. The English Intelligent Assisted Teaching model was applied to teaching to explore its feasibility and effectiveness. The results show that students’ satisfaction with personalized teaching is 0.85, and their satisfaction with personalized evaluation is 0.8. The students’ translation ability under the English Intelligent Assisted Teaching Model has improved more, from 75 to 90.
Application of Project-based Learning Model Based on GBDT Model in Higher Vocational Civics Classes at the Time of Innovation
Authors: Zhang Guanglei
Published: January 2024

In this paper, the TR graph is constructed by combining the advantages of the tree diagram and Nightingale’s rose diagram, followed by the use of the LR+GBDT fusion model for predicting students’ performance. For the shortcomings of the K-prototypes algorithm in the application of educational data, an improved K-prototypes algorithm for student group division and feature labeling, and finally, user portrait as a pivot will be the fusion of the three to solve the problem of multi-chart linkage and the integration of charts constructed the student portrait, assisting teachers to make scientific decisions to develop personalized learning strategies. Through the integration of social resources and the curriculum content of the ideological and political discipline, a project-based learning model is established to realize the goal of cultivating students’ core qualities in the discipline of the ideological and political discipline. After the project-based learning mode, the difference between the pre-test and post-test scores of the experimental class’ ideological and political character was −6.83, p=0.000<0.001, the difference between the pre-test and post-test scores of cultural literacy was −7.12, p=0.000<0.001, and the difference between the pre-test and post-test scores of the value concept dimension was −3.54, p=0.027<0.05. There was a significant difference between the pre-test and post-test scores of the three dimensions, and there was a significant difference in the pre-test and post-test scores of all three dimensions. Scores between the pre-and post-tests were significantly different. Therefore, the application of project-based learning in the teaching of Civics and Political Science plays an important role in promoting.
Exploring Collaborative Parenting Strategies for Civics and Student Management in Colleges and Universities Using Multiple Data Chain Networks
Authors: Kong Zengqiang , Chen Lingling , Jia Qiaoran
Published: January 2024

In this paper, the multivariate data chain network is used to obtain the lexical sequence of Civics and Political Education, which needs to be labeled considering the convenience of research and analysis. According to the C-RTT algorithm can reduce the number of synchronization time slots required for fine synchronization of Civic and Political Network Teaching, use the Transformer encoder to assign and define the model parameters, and then construct the automatic scoring model with the theme of Civic and Political Work and Student Management. Starting from the content of the research and evaluation of the Civics and Political Science Program, the research variables and measurements are determined, and the research on the evaluation of the Civics and Political Science Program in colleges and universities is designed. Initial data for research and analysis are obtained by distributing questionnaires, and simulation analysis and statistical analysis are used to empirically analyze the Civics education combined with a multivariate data chain network. The results show that on the model analysis, the P value of the model in this paper can be up to 80.6, the R value can be up to 85.7%, the F1 value can be up to 83.2%, and the accuracy rate can be up to 82.4%, and the automatic scoring model with the theme of Civic and Political Work and Student Management has achieved good results. On the analysis of the Civics course, the mean values of the seven topics of student management are in the range of 3.78-4.18, and the standard deviations are all greater than 0.84. This study skillfully applies the theory of Civics to student management and ultimately helps the students to establish the correct three views.
An empirical study on the effect of academic engagement on academic achievement of engineering students in colleges and universities
Authors: Liu Xia , Liang Mingwei
Published: January 2024

Based on the linear regression algorithm, this paper uses the basic linear regression algorithm and the kernel linear regression algorithm to construct the relationship model between academic input and academic achievement based on linear regression and to determine the independent variables, dependent variables and control variables in the model. The engineering students of East China Normal University are selected as the research object, the research instrument is determined, the research index is determined according to the survey, and the research hypothesis is proposed, and then the research and analysis design of the impact of academic input on academic achievement is completed. Using reliability and validity to test the validity of the questionnaire, the initial data of the study can be obtained by distributing the questionnaire, and correlation analysis and regression analysis are used to carry out an empirical study of academic input and academic achievement based on linear regression. The results show that the correlation coefficient between academic input and academic achievement of master’s degree students is R=0.892 and R2=0.792, indicating that the predictive variance of academic input on academic achievement is 89.2%. The effects of the dimensions under the academic input on the social adjustment dimension under the academic achievement were, in descending order, as follows: active cooperation > teacher-student interaction > educational enrichment > academic challenge > campus support. This study comprehensively analyzes the impact of academic engagement on academic achievement, and colleges and universities should change the test of students’ ability to memorize knowledge and skills to the test of students’ ability to analyze and solve problems by applying what they have learned.
Application of Weighted Comprehensive Evaluation Model in Teaching Quality Evaluation System of Computer Class Vocational Education
Authors: Yi Weihuan
Published: January 2024

This paper firstly constructs the entropy weight-TOPSIS weighted comprehensive evaluation model, uses the entropy weight method to determine the indicator weights, and establishes a standardized evaluation matrix to evaluate the evaluation object through the TOPSIS model. Then, the evaluation model of teaching quality of vocational education, including teaching environment, curriculum construction, teaching content, implementation effect and teaching support level, was established, and the weight teaching evaluation of each index was made by using the entropy weight-TOPSIS model. Finally, the quality of teaching in the school was measured and analyzed, and the expected and perceived mean of different indicators were compared and calculated. The results show that the gap between the perceived teaching quality of each dimension of the indicators is basically controlled between [-1.0,-0.7], and the overall teaching quality evaluation result is -0.86, and the teaching quality needs to be improved urgently. This paper examines the teaching quality of vocational education, finds its problems, puts forward reform opinions, and promotes the development of the vocational education talent force in the direction of higher quality.
Reflections on and Exploration of Academic Early Warning Management and Support for Students in Colleges and Universities
Authors: Feng Junli , Lian Xiaojie
Published: January 2024

In this paper, the feature increment can be regarded as a learning mapping function, and a non-equilibrium incremental learning (WILS) method for the academic warning is proposed, and the academic warning model of the non-equilibrium incremental learning method is constructed. The learning factor is regulated by introducing the Focal loss function, and the learned knowledge is integrated into the Focal loss as the final loss function. Finally, the three-dimensional indicators of social characteristics, personal characteristics, and student behavior were used to explore the influencing factors of academic performance and academic support strategies were explored in this way. The results show that the average value of the accuracy of the academic early warning model is 0.857, and the F1-Measure is 0.891, which indicates that the model can reasonably and efficiently provide prior warning of students’ learning situations and behavioral performance. This paper proposes countermeasure suggestions for managing academic early warning and academic support work, which enhances the purpose of talent cultivation quality.
Combining the Information Diffusion Model for the Propagation of Zhouyi Ideology in the New Era
Authors: Lv Jili
Published: January 2024

This paper examines the moral edification ideas in Zhouyi and looks at the contemporary value of Zhouyi ideology and ideology. The UAU-SIS multiple network communication model is constructed, and the information radiation model between cyberspace and real space is proposed, which has a positive impact on the dissemination of Zhouyi ideology. The Master differential equation of the degree distribution of spatial topological structure is established to provide a basis for the dissemination of information related to Zhouyi ideology. Analyze the communication carriers of Zhouyi thought and improve the communication effect of Zhouyi thought in the new era by combining it with information diffusion technology. Simulation experiments are used to examine the feasibility and performance of the proposed algorithm. Investigate the influence of Zhouyi’s thought dissemination on citizens’ moral education consciousness. The experiment shows that the diffusion range of the algorithm is improved from 100 to 600 after 16 iterations, and the increased speed decreases to 4879.13s, the dissemination effect is better, and the algorithm is feasible. The scores of 6 evaluation indexes of students’ moral edification are 0.76, 0.93, 0.71, 0.63, 0.91, and 0.53. The overall level is good, and there is still room for improvement in the awareness of moral edification. It can be seen that the spread of Zhouyi thought has a beneficial effect on the citizens’ consciousness of moral enlightenment.
The application of big data technology in the innovation and effect analysis of art teaching mode in colleges and universities
Authors: Han Bing
Published: January 2024

In this paper, for the common behaviors of students in classroom teaching, deep learning and the improved student behavior detection algorithm based on YOLOv5s are used to transform the source data into another high-level and high-abstract data expression to realize the detection of students’ behavior in class. Then, taking into account the real conditions of college students and the internal logic of deep learning and classroom teaching, we sort out the target conditions of college students’ deep learning and their brand-new requirements for college classroom teaching and innovate the art teaching mode in colleges and universities. The innovative art teaching mode is applied in the art classroom teaching of W College of Fine Arts, and the teaching effect is analyzed. The results show that the mean values of students’ evaluation in the five core literacy skills of image literacy, art expression, aesthetic judgment, creative practice, and cultural understanding increased by 12.6, 14.95, 17.66, 12.27, and 19.1 points after the innovation compared with those before the innovation. The above data show that the innovation of art teaching mode can enhance students’ motivation to learn and stimulate their creative passion, thus cultivating their creative ability, making students learn to inherit and carry forward the traditional culture of the Chinese nation, and enhancing their cultural self-confidence and national pride.
Research on the Reform of Ancient Chinese and Modern Chinese Language Teaching in the Context of Deep Learning
Authors: Lei Jingyang
Published: January 2024

In this paper, we use a deep learning algorithm to optimize the loss function of Chinese data, dynamically adjust the learning rate by gradient descent method, and adopt an exponential moving weighted average to deal with language information. The second-order information of the historical gradient is processed to calculate the change value of the objective function of the Chinese language variables, and the learning rate is scaled accordingly, which is inversely proportional to the teaching reform model. Ultimately, the error between the objective function value and the predicted value is optimized with a smaller learning rate, and the neuron learning rate is scaled to achieve the best solution for the language teaching reform of ancient Chinese and modern Chinese. The accuracy rate of the deep learning algorithm is verified to be as high as 0.9, which provides reliable technical support for teaching reform. The reform’s weighting of teaching content to 0.471 underscored its significance in teaching. Fifty-three percent of the students showed strong interest in the teaching method reform, highlighting the popularity of teaching mode innovation. The teaching rating before the reform increased by 6 points compared to that after the reform, showing the positive impact of the reform on teaching.
Design of a Competency Assessment System for English Teaching Positions Based on the SERVQUAL Model
Authors: Liu Fengmei
Published: January 2024

This paper first introduces the SERVQUAL model and establishes generalized indicators, including four aspects of moral character, integrity quality, work ability and work attitude. Subsequently, an information sampling model was constructed to obtain information on the job competence constraint parameters, which provided the necessary data support for the assessment. On the basis of information fusion and time series analysis, a quantitative recursive assessment of English education job competence was carried out using the gray model to obtain the feature extraction results of the job competence assessment and finally to determine the probability density generalized function of English teaching job competence. The assessment results show that the accuracy of the SERVQUAL model is up to 98%, and the combination weight value of interaction ability is the highest, reaching 0.1266. The correlation coefficient of teaching job competence reaches 0.925, and the overall importance evaluation of teachers’ teaching competence is the highest at 93 points, which highlights the high efficiency and accuracy of the assessment system.
A Screening of Tools to Measure the Quality of Financial Reporting
Authors: Dănescu Tatiana , Stejerean Roxana Maria
Published: January 2024

The main objective of this research is to identify and systematize tools for measuring the quality of financial reports, in order to support researchers considering this comprehensive area. By using the PRISMA system in as transparent a manner as possible, we also aimed to find potential gaps in all 89 articles and scholarly papers examined in the smallest detail. As the quality of financial reporting is ultimately aimed at mediating the relationship between the entity and the user, it is not a topic addressed individually, the secondary object of this paper is to expose the most common themes and discussions associated with this object of study, such as: characteristics of entities, adoption of International Financial Reporting Standards, shareholding structure, corporate governance and audit committee.