bluuebunny/crossref_metadata_2025_split huggingface dataset:
Efektivitas Pembelajaran Bahasa Inggris Dalam Metode Active Learning di SMK Padjadjaran
Authors: Siti Aminah Dea Ayu , Dewi Anggia Utami , Dermawan Windy , Nurhayati Heni 
Published: July 2024

Pendidikan berperan penting bagi masyarakat Indonesia sehingga diperlukan interaksi yang efektif dalam proses pembelajaran. Tujuan dari artikel ini untuk membahas efektivitas metode pembelajaran yang aktif dalam mata pelajaran bahasa Inggris di sekolah. Metode active learning dalam kegiatan pembelajaran diperoleh secara aktif di dalam kelas sehingga dapat menuntut siswa untuk berpikir kritis, melatih kemampuannya, dan kreatif. Metode ini dapat diterapkan pada semua mata pelajaran di sekolah. Kegiatan dilakukan untuk meningkatkan minat siswa dalam mempelajari bahasa Inggris sebagai bahasa asing. Dari hasil penilaian penggunaan metode pembelajaran efektif di kelas, disarankan agar metode tersebut diterapkan secara terus menerus pada kegiatan pembelajaran bahasa Inggris secara rutin karena terbukti dapat meningkatkan minat dan semangat siswa dalam belajar. Artikel ini ditulis berdasarkan hasil kegiatan pendampingan asistensi mengajar di SMK Padjadjaran yang berlokasi di Jatinangor, Jawa Barat
Exploring the Reform Path of English Teaching in Colleges and Universities from the Perspective of New Liberal Arts
Authors: Wang Xuexia 
Published: July 2024

Abstract
With the advancement of economic globalization, current English teaching in colleges and universities no longer meets the social demand for cultivating liberal arts talents in the new era. The study combines the six stages of the BOPS method and proposes an online, hybrid model for teaching English. Based on this, a teaching experiment is carried out on two parallel classes of students in a university, and the English test scores and specific dimensions of the two courses before and after the experiment are compared. Then, an intelligent algorithm was used to design an English teaching effect evaluation method to assess the comprehensive effect of English teaching from the dimensions of teachers, students, and grades and to explore the effectiveness of the online, hybrid English teaching model. After the teaching experiment, the total English achievement scores and all dimensions of the students in the test group and the control group showed significant differences at the 5% level, with the total English achievement scores of the test group being 14.18% higher and 20.34% higher than before the experiment. The overall English teaching effect is above moderate, with a comprehensive score of 3.387. The online, hybrid English teaching mode positively enhances the effectiveness of English teaching in colleges and universities.
Research on the Contemporary Value and Realization Path of Integrating Red Resources into College Dance Teaching in the Internet Era
Authors: Xu Yuejun 
Published: July 2024

Abstract
In higher education, there is a strong emphasis on integrating ideological resources into the educational process. For majors in dance art, incorporating elements of Latin culture into the curriculum is a significant pedagogical challenge. This study utilizes the Partial Least Squares Structural Equation Modeling (PLS-SEM) approach to explore the contemporary relevance of red dance education and its determinants. Using PLS-SEM, we analyzed how red dance education in higher education impacts political identity, cultural self-confidence, and expressive capabilities related to red art among teachers and students. A questionnaire survey was conducted to assess the efficacy of a newly developed teaching resource library for red dance in fostering a deeper integration of red cultural elements into dance education. The findings indicate that red dance teaching positively affects contemporary values related to political identity, cultural self-assurance, and artistic expression, with β coefficients exceeding 0.23 and significance levels at 0.05. The use of the red dance teaching resource library Received positive feedback from 80% of students, with either “relatively approving” or “highly approving” responses. This research provides theoretical support and innovative pathways for the profound integration of red cultural elements into collegiate dance education, thereby enhancing the educational value of red culture within this field.
Research on the Application of Internet+-based Blended Teaching Mode in English Grammar Teaching
Authors: Deng Menglin , Chen Ken 
Published: July 2024

Abstract
Emerging from the advancements of the Internet+ era, the blended teaching mode synergistically combines online and offline methodologies, thereby fostering innovative pathways for the enhancement of English grammar instruction. The architecture of a hybrid model for English grammar teaching is presented in this paper that seamlessly integrates digital and traditional educational practices. We structured the implementation of this model through a three-part framework: initial pedagogical analysis, development of teaching resources, and design of teaching practices. Our approach involves extracting English grammar data from the Baidu Encyclopedia and authoritative grammar texts, followed by the construction of an English grammar knowledge graph utilizing a BiLSTM-CRF method for grammar entity extraction and a BERT-BiLSTM-Attention model for delineating grammar relationships. We assessed the accuracy of extracting grammar concepts and validated the effectiveness of our blended teaching model through a combination of student self-assessment, peer reviews, and instructor evaluations. Statistical analysis of self and peer assessments reveals that 50% of the evaluated questions scored above 4.0, with the average peer assessment exceeding 3.90. These findings underscore that the blended teaching approach is not only well-Received by students but also significantly enhances their overall language competencies.
The Impact of Digital Economy on Industrial Structure Upgrading under the Perspective of Political Economy
Authors: Huo Ran 
Published: July 2024

Abstract
The rapid development of the new generation of digital technology and the increasing importance of the digital economy have brought new opportunities for China’s development and provided new ideas for the optimization of industrial structure as well as the improvement of industrial efficiency. In this paper, under the perspective of political economy, the evaluation index system of the comprehensive development level of the digital economy is constructed with the panel data of 30 Chinese provinces and municipalities from 2014 to 2023 as a sample, and the entropy weighting method is used to calculate the index of development. The rationalization and advanced upgrading of the industrial structure of the 30 provincial and municipal cities is studied by combining the Tel index and the added value of the tertiary/secondary industry. On this basis, the structural equation model was used to explore the role of the “digital economy” on “industrial structure upgrading”. The results of the study are as follows: the development level of China’s digital economy shows a stable growth trend from 2014 to 2023, with its average value increasing by 185.32%, and the average values of the advanced and rationalized levels of China’s industrial structure increasing and decreasing by 4.47% and 47.90%, respectively. The direct effect of the level of development on the improvement of industrial structure (i.e., Path 1) is significant, and the standardized path coefficient between the two is 0.162. The results of the study emphasize the need to comprehensively improve the level of development and to build an intermediary bridge between the digital economy and industrial structure upgrading by taking human capital, scientific and technological innovation, and consumption upgrading as important tools.
Research on the Construction of Enterprise Compliance Management System in the Context of Deep Learning
Authors: Li Chunguang 
Published: July 2024

Abstract
Migration learning is a kind of deep learning that plays an important role in risk prediction and warning. In this paper, we use the Triplet-loss representation learning technique to map data samples of the same category to adjacent spatial regions, map data samples of different categories to different spatial regions, and add domain adaptive computation to complete domain adaptation. XGBoost performance is also optimized to improve the prediction results. After completing the risk prediction model construction, this paper also incorporates indicator weights to propose a risk warning model based on a weighted knowledge graph. The analysis found that the model accuracy of the compliance risk prediction model is 1.155% higher than that of two traditional prediction models on average, and the indicators of accuracy, F1-score, and AUC are all over 0.99, which indicates that it has high accuracy. After applying the optimized risk management system in an enterprise, it is found that the weight of the indicators of the enterprise’s compliance management system reaches 25.71%, the combined weight of the legal audit system and the risk prevention and control mechanism is 16.23% and 14.10%, respectively, and the combined weight of the two indicators of the appraisal and evaluation of the performance of the compliance management and the accountability for the violation of the law exceeds 8%. The weights of the indicators related to the degree of business standardization are close to 16.51%, indicating that the enterprise’s daily production and operation activities are standardized and orderly, and the perfection of the compliance management system is in line with the real situation of the enterprise. It can be seen that the risk management system makes accurate judgments on the compliance risk of the selected enterprise, which reflects the feasibility of the application of the new model.
Analysis of Intelligent Risk Rating of Corporate Internal Control Compliance under Information Convergence Technology
Authors: Li Chunguang 
Published: July 2024

Abstract
The alarming problems related to illegal construction in individual enterprises have begun to raise questions about the effectiveness of internal control in these enterprises. In order to better achieve the internal control objectives, a set of scientific and complete rating index systems and evaluation models were constructed. This paper first proposes a fuzzy comprehensive evaluation method for enterprise internal control compliance risks, establishes a factor set, the weight allocation judged by the analytic hierarchy process, and builds the internal control evaluation model framework through the hierarchical decomposition method. Secondly, the core indicators in compliance internal control are determined by the form-filling method, the core indicators are filled into the framework determined by the hierarchical decomposition method, and finally, the weights of each indicator in each level are determined through weighting calculation, and the model is built. Through the specific application of an enterprise, it is found that the effectiveness of internal control has developed from “qualified” to “excellent” in the past five years, and the POOR value has shown a downward trend year by year, from a high of 0.2821 to 0.0717. The only thing that has not developed to excellent is that in 2022, the enterprise did not carry out construction under the provisions of the planning permit and was fined 675,900 yuan, and the grade was downgraded to “good”, but the overall degree of realization of the company’s internal control risk rating is improving year by year.
Improvement of agricultural productivity and optimization of rural economic structure from a digital perspective
Authors: Li Huaping , Zhang Yutao , Zhu Pinwen , Zhang Xian 
Published: July 2024

Abstract
This paper first analyzes and researches the current practice status of digital transformation of Chinese agricultural production from production, credit, and management aspects. Then, it analyzes the measurement of agricultural production efficiency and the factors influencing agricultural production efficiency in the context of digital transformation by using DEA measurement tools. The impact of digitalization level enhancement on rural economic structure is also analyzed and explained from the perspective of technological progress bias through spatial econometric models. The results show that the level of digitalization promotes the development of agricultural modernization in terms of the change in the ranking of scores between 2014 and 2023. The correlation coefficients of the level of digital economy development, financial support for agriculture, and urbanization rate are 0.483, 1.163, and 0.764, which significantly promote the efficiency of agricultural production in China. There is a significant spatial dependence relationship between economic structure and digital transformation (P<0.001).
Educational Implications of Diverse One-Stop Student Community Design
Authors: Cao Weijie , Zhang Hangli , Wu Lingui 
Published: July 2024

Abstract
With the continuous development of higher education, campus management needs to make changes with the times. The one-stop student community is of great significance in enhancing students’ comprehensive ability and meeting their diversified needs. The study designs a one-stop student community that includes a one-stop student service hall, a student dormitory management center, a student mental health education center, and a network information platform. A student community evaluation model was constructed to evaluate and analyze the effectiveness of the student community. Students rated the community culture and environment of the one-stop student community with the highest mean value (3.75) and the quality and scope of community building with the lowest mean value (3.55). The mean value of students’ ratings on the five dimensions was greater than 3.5, and they made positive evaluations on all five dimensions and the one-stop student community has a positive effect on students’ overall competence. The significant p-values of the five dimensions of the one-stop student community, namely, governance goal and orientation, governance personnel and team, governance content and method, governance system and mechanism, and governance significance and effect, are all less than 0.05 in terms of gender, grade, and specialization, which indicates that there is a significant difference in the evaluations of the five dimensions by students with different genders, grades, and specializations.
Study on Deleveraging and Downshifting of Real Estate Enterprises in the Context of Artificial Intelligence
Authors: Chen Ziyue , Lin Lu , Shao Zhongyan 
Published: July 2024

Abstract
With the decrease in the heat of the real estate market, the structural problems of real estate enterprises have become increasingly prominent, which are mainly reflected in high inventory, high leverage and high cost. After analyzing the types and underlying factors of financial risks faced by real estate enterprises, this paper explains the “three red lines” policy of the deleveraging mechanism for real estate enterprises. Based on artificial intelligence technology, an intelligent financial data processing platform has been established, and PCA and K-Means algorithms are used to process financial data. The association rule mining was introduced to analyze the financial data. The deep meaning of the financial data was mined through the weighted Apriori algorithm. The deleveraging strategy of real estate enterprises was established in combination with the financial decision-support process. The application effect of Group W’s deleveraging strategy was analyzed by selecting it as the research object. In 2021, the current ratio was 0.03 times different from the industry average, the asset-liability ratio decreased to 75.69%, and the overall cash balance at the end of the period increased by 11.2 times. After 2018, the “three red lines” indicators were all met, and it successfully ranked among the green enterprises, with the highest cumulative excess rate of return reaching 5.46%. Based on intelligent financial data processing, it can provide decision-making support for real estate enterprises to optimize their structure and realize the deleveraging, downshifting, and efficiency increase of real estate enterprises.
Integration of Red Cultural Resources into the Teaching of Civics in College Curriculum Based on VR Modeling
Authors: Duan Xiaoyan 
Published: July 2024

Abstract
The broadening of the teaching field and the innovation of the teaching form of the Civics course in colleges and universities are important links in the teaching reform of the Civics course. This paper relies on the reality support of red cultural resources integrated into the teaching of civic politics class of VR technology, selects the influencing factors to build a structural equation model, carries out correlation analysis and the measurement of model path coefficients, and mines the factors affecting the integration of red cultural resources into the teaching, of course, civic politics. On this basis, we explore the practical path of integrating red resources into the teaching of Civics courses in colleges and universities based on the VR model and combine the descriptive statistical analysis and multiple regression analysis to explore the effectiveness of integrating red cultural resources into the teaching of Civics based on the VR model in four dimensions. Learning motivation, self-efficacy, difficulty expectation, classroom environment, group influence, curriculum design, facilitation, and teaching ability all significantly affected the integration of red resources into Civics and Political Science teaching (P < 0.05). Based on the VR model, the red cultural resources have a better effect of integrating into the teaching of ideology and politics, and the scores of all dimensions are more than 4, among which the score of emotional identity is the highest, 4.566. The use of VR technology is an inevitable trend of education modernization, and colleges and universities should apply it to enrich and expand the content of “curriculum ideology and politics” and to promote the construction of information technology and teaching reform of the ideology and politics in colleges and universities. The modernization of education is inevitable due to the use of VR technology.
The Formation and Implementation of Ethical Norms for Artificial Intelligence in the Soil of the Rule of Law - Focusing on AI Governance
Authors: Fan Yuanhong 
Published: July 2024

Abstract
In the context of today’s fast-reading development of artificial intelligence (AI), the governance model supported by AI technology has become the focus of global attention. This study focuses on the AI governance model based on ethical norms in the construction of the rule of law, with the aim of providing research support for effective AI governance. In this paper, the ethical core and mechanism of AI governance in the soil of the rule of law are studied under the premise of the rule of law, and a risk governance identification model based on the DEMATEL-ISM model is constructed to analyze the risk factors of AI governance. Then, the ethical norms of AI governance are analyzed in depth, and the path of improving the ethical norms of AI governance is explored through the fsQCA method, and the AI ethical norms guidelines are constructed under the basic guideline of adhering to human-centeredness. Finally, the implementation of AI governance ethical norms is carried out, and under AI governance, the average correct rate of event classification and processing accuracy is above 85%, 207 resolved events are added every month, and the cumulative number of resolved events is increased by 2,486. At the same time, the risk factor risk can be seen, proving that the governance model under the participation of AI can effectively improve the efficiency of governance to promote the development and application of AI governance model provides a certain theoretical basis and reference value.
Research on the Innovation of Practical Path of Values Cultivation for College Students in Colleges and Universities in the Context of Big Data
Authors: Geng Limin 
Published: July 2024

Abstract
Colleges and universities are important places for cultivating talents for education and economic construction, and they bear the important responsibility of arming young college students with socialist core values. It is of great practical significance to strengthen research on the innovation of core value education and the cultivation path for college students. In this paper, the mean drift clustering integration module and density-sensitive spectral clustering module of the spectral clustering algorithm have been improved. Then, the improved spectral clustering algorithm and word co-occurrence model are combined to extract the keywords of value cultivation among college students. The keywords of college students’ values are analyzed, and the rankings of the distance from “values” among the college students are health, family, harmony, responsibility, love, harmony, patriotism, friendliness, and independence, in descending order. The inter-word distances are 0.645, 0.648, 0.716, 0.745, 0.795, 0.799, 0.816, 0.864, 0.865. In the test of difference in values, the difference in values of different genders is shown in the view of friendship, love, family, equality and freedom, harmony, and human attitude, and the p-value of all the above dimensions is less than 0.05. Colleges and universities should start with the educational environment, the process of student growth, and the standardization of values education to actively promote the cultivation of values among college students.
A Study on the Enhancement of Higher Vocational Students’ English Writing Ability by the Principle of Teacher-Student Collaborative Assessment in the Production-Oriented Approach
Authors: Hao Yining 
Published: July 2024

Abstract
This paper introduces the basic content and characteristics of the production-oriented method and teacher-student collaborative assessment, shows the complete process of teacher-student collaborative assessment, and presents the overall evaluation design and implementation of teaching. Applying its theory to English writing teaching, it analyzes the English writing test paper, English writing learning interest questionnaire, and scale before and after the experiment. After analyzing, it can be seen that the signature. The value in terms of total score pre-test scores between Group X and Group Y is 0.54. The Sig. values in terms of vocabulary, structure, and total scores in the post-test between group X and group Y are 0.003, 0.004, and 0.002, respectively, which is a significant difference. In the comparison of the pre-test and post-test scores of group X, the post-test scores were significantly higher than those of the pre-test scores (Sig<0.05). Therefore, the teacher-student collaborative assessment method centered on the production-oriented method is effective to be used in English teaching in higher vocational colleges and universities, which provides new research insights for improving and upgrading English writing teaching.