bluuebunny/crossref_metadata_2025 huggingface dataset:
Effect of Structured Inquiry Powered by Web 2.0 Technologies on Conceptual Understanding: Light Concept
Authors:   Giresun University, Giresun (Turkey). E-mail: cigdem.sahin@giresun.edu.tr, ŞAHİN ÇAKIR Çiğdem , ABDÜSSELAM Mustafa Serkan ,   Giresun University, Giresun (Turkey). E-mail: mustafa.serkan@giresun.edu.tr, ÖZER Muzaffer ,   Giresun University, Giresun (Turkey). E-mail: ozrmzfr@gmail.com
Published: July 2024

The purpose of this study was to investigate the effect of the structured inquiry powered by Web 2.0 technologies on remedying sixth-grade students’ alternative conceptions of “light” and improving their conceptual understanding. The sample of the study consisted of 16 sixth-grade students enrolled to a science course at a public secondary school. Since the study evaluated student gains in conceptual understanding by means of pretest and posttest scores, the study employed a single group pretest-posttest research design, with a conceptual understanding test (CUT) and semi-structured interviews employed as the data collection tools. The collected quantitative data was analyzed using IBM’s SPSS 15 statistical software, whilst the qualitative data was analyzed by way of content analysis. The analytical results showed that the structured inquiry powered by Web 2.0 technologies positively impacted the students' conceptual understanding of light, as evidenced by their ability to differentiate between different types of reflection and provide coherent explanations for light-related phenomena.
A HOLISTIC INQUIRY INTO RISK COMMUNICATION DYNAMICS: YOUTH-LED INITIATIVES AND SOCIETAL ENGAGEMENT IN SURABAYA'S RURAL LANDSCAPES
Authors: Ida Rachmah , Kinasih Sri Endah , Febriyanti Syafrida Nurrachmi , Puspa Ratih , Romadhona Mochamad Kevin
Published: July 2024

The overarching aim of this community service program is to contribute significantly to the understanding of risk communication dynamics and its profound implications within broader societal contexts. Beyond mere dissemination of information, this initiative serves as a comprehensive study, delving into the intricate web of societal attitudes, perceptions, and the intricate pathways through which information traverses within communities. Central to this endeavor is the creation of educational videos geared towards enhancing community awareness, particularly targeting the youth in rural village settings. These videos, crafted by local youth in Surabaya, encapsulate not only informative content but also culturally nuanced messaging that resonates deeply with the intended audience. Methodologically, the program adopts a multifaceted approach. Firstly, it involves the online dissemination of educational materials, strategically targeting bustling areas in Surabaya, notably Petemon and Kaliasin. Secondly, it encompasses Focus Group Discussions with children, providing invaluable insights into their utilization of smartphone cameras and their perceptions of media content. Lastly, the program includes a hands-on video workshop, empowering children to actively participate in the creation of visual narratives, thereby fostering a sense of ownership and agency. The duration of the research spanned a comprehensive 15-day period, allowing for in-depth exploration and analysis of community dynamics and perceptions. The outcomes of these community engagement activities unveil nuanced layers of perception and understanding regarding COVID-19 prevention programs, particularly the government's vaccination efforts. Notably, there emerges a preference for peer-driven engagement, with individuals opting to involve those within their immediate social circles. Within this communal framework, the created videos serve as powerful tools, employing a blend of straightforward visual storytelling and everyday language to effectively communicate crucial messages, thereby fostering a sense of collective responsibility and empowerment within the community.
PELATIHAN PENANGANAN HAMA DAN PENYAKIT KOPI BAGI PETANI KOPI GUGELS (GUNUNG GEULIS) DI DESA JATIROKE KECAMATAN JATINANGOR SUMEDANG
Authors: Darmayanti Nani , Wagiati Wagiati , Suganda Dadang , Al Zahra Risya , Harzi Azka Athallah
Published: July 2024

Desa Jatiroke, Kecamatan Jatinangor Sumedang memiliki potensi untuk menjadi Desa Wisata. Selain memiliki Teras Gunung Geulis sebagai salah satu destinasi unggulan, Desa Jatiroke juga memiliki kekayaan potensi alam, yaitu Produk Kopi Gugels (Kopi Gunung Geulis) yang dipropduksi oleh para petani kopi yang ada di kaki gunung Geulis, Desa Jatiroke. Kopi Gugels terdiri atas dua jenis, yaitu Arabica dan Robusta. Hingga saat ini proses produksi Kopi Gugels terus meningkat. Namun, para petani tetap menghadapi kendala yaitu adanya hama dan penyakit yang menyerang tanaman kopi mereka. Oleh karena itu, kegiatan KKN-PPM ini diarahkan untuk mencari solusi atas kendala dan masalah yang dihadapi para petani Kopi Gugels. Oleh karena itu, dihadirkan para pakar hama dan penyakit kopi dari Fakultas Pertanian Universitas Padjadjaran. Para pakar memberi penjelasan dan pelatihan mengenai berbagai jenis hama dan penyakit kopi serta upaya atau cara memusnahkannya. Kegiatan yang diikuti oleh 27 orang petani kopi Gugels ini sangat diapresiasi oleh para peserta pelatihan karena sangat bermanfaat bagi peningkatan produksi kopi mereka dan terhindar dari hama dan penyakit kopi.
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
Dragas en rebeldía
Authors: Marquet Montiel Antonio
Published: July 2024

Dragas en rebeldía está compuesto por medio centenar de entrevistas a señores empelucadas, de largas pestañas, espesas capas de maquillaje y muy altos tacones: el universo los llama dragas; éstos a sí mismas, también. El término proviene del inglés (dressed as a girl), no del verbo drag que significa arrastrar. Esta descripción se ha enriquecido en México (¡primero muertas que sencillas!), diferenciándose de travesti, de la vestida. Su esfuerzo es vano: son vestidas y travestis. Pero la voluntad de desmarcarse es productiva porque han creado una especie aparte. … La travesti tiene una finalidad individual; la draga tiene un objetivo social, utópico. En las entrevistas que conforman Dragas en rebeldía encontraremos a las dragas teóricas y teológicas, filosofando sobre su quehacer, reflexionando sobre su arte, precisando los retos que recogen, pensando sobre su voluntad transgresiva, resaltando su capacidad de crear personajes, su teatralidad, dialogando con ellas mismas, pero sobre todo cavilando (¿cabuleando?) sobre la forma de incrustarse en la sociedad y en la comunidad LGBTTTI. Lo hacen a través de la risa, la ironía, el perreo, artes en las que son maestras tanto como en las del hilo, la aguja, el delineador, el maquillaje. Lo hacen también con concursos extenuantes de donde, tras someterse a innumerables pruebas, sale una vencedora con decenas de eliminadas. En este sendero de la confrontación, ya poco importa quién sea el más macho o “La más Draga”, nombre de uno de los certámenes. En este libro comparece una veintena de dragas entre quienes se encuentran: Bonita Giles, Dana Karvelas, Débora la Grande, Dita Babylon, Drama The Oz, Elphadrag, la Fina, Gioconda Fenice, Iker, Kindra, María Magdalena, Marianita33, Marte Rex, Mystique, N-Emma-Queen, Paper, Pistola, Roberto Cabral, Santa, Sarah Ukween, Skanda, Silverboy, Supermana, Superperra, Tita Lovelace… Con edades desde los dieciocho años hasta el medio siglo (y algunos lustros más) y con formaciones tan diversas que van desde los estudios profesionales, posgrados, hasta la ausencia de títulos académicos, como no sea el bachillerato o la secundaria. No es el hábito quien hace al monje, sino estas monjas de insólitos integrismos quienes cosen los hábitos que cambian en cada aparición.
Malignant glaucoma: disease course and treatment
Authors: Papachristoforou Natalie , Alsoubie Ismael , Ueno Anthony , Pyza Aneta , Kaczmarek Julia , Wolińska Natalia , Piórek Jakub , Sajak-Hydzik Katarzyna , Pawlicka Ilona , Piskorz Agnieszka , Kozak Maciej , Roszkowska Anna Maria
Published: July 2024

Diagnosis of malignant glaucoma presents a challenge due to subtle symptoms in early stages of the disease, making increased intraocular pressure a pivotal indicator, often accompanied by inflammation and corneal edema. Diagnostic modalities, including ultrasound biomicroscopy and anterior segment optical coherence tomography, play crucial roles in visualizing anatomical changes in the ciliary body and anterior chamber. The classic slit lamp examination, complemented by tonometry, remains a fundamental diagnostic tool. A stepwise therapeutic approach is essential, beginning with pharmacological interventions aimed at intraocular pressure reduction and subsequent restoration of the anterior chamber configuration. The first stage of treatment is pharmacotherapy. Laser therapies, such as iridotomy and Nd:YAG laser treatment, address angle closure. In resistant cases, a surgical approach, such as irydo-zonulo-hialoidotomy may be considered.
The Impact of Ukraine’s Involvement in Global Value Chains on the Development of the Processing Industry
Authors: MYTSENKO Valerii , BABETS Iryna , MYTSENKO Ivan , FLEYCHUK Mariya , DOROSH-KIZYM Mariana
Published: July 2024

The relevance of the research is determined as Ukraine, a country with a developed manufacturing industry, opens up new opportunities and challenges in the context of the global economy, which is increasingly based on global value chains, and studying this impact is key to achieving economic growth and competitiveness. The study aims to examine the relationship between Ukraine’s participation in global value chains and the development of the manufacturing industry to identify opportunities and prospects for their interaction. The methods used were analytical, functional, system analysis, deduction, synthesis, and comparison. The results showed that industrial development is closely linked to changes in production, exports, and participation in global value chains, which affect production volumes and the number of employees in Ukrainian industries. The practical implications are to facilitate the development of better export strategies and improve sectoral policies to increase the competitiveness and efficiency of Ukrainian enterprises in global value chains.
Selection of Optimal Technologies for Production of Goods: Space-System Approach
Authors: Stadnicki Jerzy , Terebukh Andrii , STADNYTSKA Yuliia
Published: July 2024

Despite the presence of a huge amount of research on various aspects related to the rationale for selection of optimal technologies, spatial aspects have traditionally remained unattended by scientists. Justification for selection of optimal technologies for the production and transportation of good and justification for selection of optimal location and capacity of the corresponding industries are interrelated tasks of the complex problem of optimizing the spatial and technological development of an economic sector within the relevant space. At first, based on the criterion of the availability of factors of production of the corresponding good, attractive production sites are identified and for each of them selection of place-based optimal production technology is justified. The developed systematic approach involves the stage of identifying locally optimal places and technologies of production and transportation for each sales market option according to the criterion of the minimum total costs of producing a good in the volume of demand of the corresponding sales market option and the costs of transporting this good to potential sales markets that form the evaluated market option sales in the amount of their demand. At the final stage, options for potential systemically optimal places and technologies, which are formed from locally optimal places and technologies, are compared. The option of potential systemically optimal locations and corresponding production and transportation technologies with minimal total costs for production and transportation is the best.
The political ecologies of "green" extractivism(s): An introduction
Authors: Dunlap Alexander , Verweijen Judith , Tornel Carlos
Published: July 2024

What is so-called 'green' extractivism and where did it come from? The introduction to this Special Section examines the origins and implications of the concept, linking it to a long history of exploitation, dispossession and (neo)colonialism under the guise of green-washing notions such as 'sustainable development.' Conducting an in-depth literature review, we first revisit the concept of extractivism, exploring its origins, development and analytical purchase. We link extractivism to 'extra-action,' implying taking more than what is viable for ecosystems and argue for a supply-web oriented, rather than a point of extraction-focused understanding. Subsequently, we examine key theoretical frameworks in political ecology that paved the way to the study of 'green' extractivism, notably Ecological Distribution Conflicts (which we argue could better be labeled Ecological Destruction Conflicts) and green grabbing. Based on this, we discuss the core features of green extractivism, which are twofold: (1) the use of socioecological and climate crises to reinforce existing or generate new markets and profit-generation opportunities; and (2) the mobilization of claims of ecological sustainability and 'carbon neutrality' to legitimize and rationalize extraction. After outlining the Special Section contributions, we end by considering gaps in existing scholarship on green extractivism and suggest ways forward.
Exploring the Reform Path of English Teaching in Colleges and Universities from the Perspective of New Liberal Arts
Authors: Wang Xuexia
Published: July 2024

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

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

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

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

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

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

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

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

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

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

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

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

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.
The Art of Balancing Spatial Reconstruction and Cultural Heritage Preservation in Old Building Renovation
Authors: Chen Fen
Published: July 2024

The renovation and reuse of historical buildings not only helps to protect historical heritage but also promotes the development of tourism and cultural industries. The study combines web crawler technology and text mining technology based on the TF-IDF algorithm to capture art information related to the renovation of old buildings and cultural heritage protection from relevant articles and conducts in-depth perceptual analysis and sentiment analysis. On this basis, the balance measures of spatial reconstruction and cultural heritage protection in old building renovation are analyzed. Then, the evaluation index system is constructed and measured by using the G1-COWA combination assignment method to explore the balancing effect of spatial reconstruction and cultural heritage protection in the renovation of an old building. Components and perceptual evaluations related to the old building are the most important concerns, and both scholars and experts (64.84%) and the general public (72.65%) have a positive sentiment toward cultural heritage protection in the remodeling of old buildings. The overall score of the balanced effect of spatial reconstruction and cultural heritage protection of the old buildings in the sample is 6.570, which is a good level. Among them, the performance of improved use function, improved spatial environment, and improved social benefit is better. In the renovation of old buildings, it is necessary to pay attention to the balance of protection and renewal, integration and revitalization of cultural heritage to promote the balance and harmonious development of spatial reconstruction and cultural heritage protection.
Research on the Influencing Factors of Artistic Creation of Fine Arts Painting in the Context of Visual Culture
Authors: He Qing
Published: July 2024

The creators of fine art painting art are often affected by the conceptualization and imagination factors, expression techniques and methods, as well as the influence of theme and subject selection, etc., and they are unable to commit themselves to the expression of artistic power and infectious power of fine art painting works. This paper constructs the PLS-SEM and BN combined structural equation model in the context of visual culture, analyzes the latent variables in the path relationship with PLS-SEM for empirical testing, and predicts and diagnoses the causal relationship between the variables with the Bayesian network. Finally, a questionnaire survey was conducted among the major fine art painting art creation groups in Guangzhou, China, and the influence factors of fine art painting creation were extracted using principal component analysis. The constructed model is combined with the collected data for empirical analysis. The β coefficients of the influence paths of the factors are all greater than 0.42 and significant at least at the 0.05 level, and the creative motivation, creative environment, personal artistic level, art industry environment, and painting artistic skill all positively influence the fine art painting artistic creation outcome. When the level of artistic achievement in art painting and drawing is “high”, the probability that the level of the art industry environment and creative environment is high is higher, with probabilities of 0.742 and 0.701. When the level of personal artistic level is “high”, the probability that the level of creative motivation is “high” is greater than 0.42 and significant at least at the 0.05 level. When the individual’s artistic level is “high”, the level of creative motivation is more likely to be “high,” with a probability of 0.726. This study allows the timeliness and dynamics of painting to be harmonized and linked with the painter and provides certain references for the improvement of the artistic skills and creative level of the creator of the painting.
Introduction to the inheritance and development of national music culture in the teaching of music education in colleges and universities in the Internet era
Authors: Jia Xiaoguang
Published: July 2024

Ethnic music culture is a rare and precious artistic treasure in all national cultures, and the inheritance and promotion of ethnic music culture is an essential part of music education teaching in colleges and universities. This paper delves into the characteristics of the development and dissemination of ethnic music culture in the Internet era, with the aim of studying the integration of ethnic music culture into music education teaching in colleges and universities through the use of Internet technology. Through the collaborative filtering algorithm, students’ preferences for ethnic music works are mined so as to recommend accurate teaching resources for college students on the ethnic music online teaching platform constructed based on the collaborative filtering algorithm. In order to fully prove the effectiveness of the teaching platform designed in this paper, the rough set theory and neural network algorithm are used to construct the online teaching quality evaluation model for college ethnic music. The questionnaire survey method is used to study the status quo of ethnic music teaching in colleges and universities, and it is concluded that at present, there are problems in ethnic music teaching in colleges and universities, such as insufficient concepts of students learning ethnic music and insufficient attention to ethnic music in colleges and universities themselves. Through the analysis of the effect of the recommended algorithm, the design of the evaluation index system, and the practical application, the quantitative assessment value of the teaching quality of the ethnic music online teaching platform designed in this paper in the practical application is 92.11, which indicates that the comprehensive rating of the quality of the ethnic music online teaching in colleges and universities in this paper is excellent.
Illustration Design Strategies of Idioms Series Supporting Primary School Language Textbooks in the Context of Artificial Intelligence--Taking “Picture Idioms” as an Example
Authors: Shen Kefei , Liu Yuxuan
Published: July 2024

Idioms have various compositions and are part of the long history and culture of the Chinese nation, with their unique ways of expression. In this paper, taking “Pictures of Idioms” as an example, we propose a strategy for designing illustrations for a related series of books on idioms using artificial intelligence technology. Using the LSTM model, the description of the given idiom text is realized to generate images. The generated images are processed by a decoder and fed into a neural network model to generate illustrations that match the description of the idiom text. Further, a diffusion model is proposed to improve the quality of illustration generation and diversify the illustrations by continuously adding conditions to the generation process. Taking “Picture Talking Idioms” as an example, we propose a design strategy for the illustrations of the Idioms series accompanying elementary school language textbooks and quantify the effect of practical application in terms of the design effect of the final product, the reading satisfaction, and the effect of the use of “Picture Talking Idioms.” Students were more satisfied with the use of blue-gray and blue colors in the illustrations in “Diagrams to Tell Idioms,” with ratings of 4.9 and 4.6, respectively. 52% of the students used the diagrammatic method of reading “Diagrams to Tell Idioms” and rated the knowledge content of the books in terms of idioms at 9.458, which is a high satisfaction rate of 98%. The use of diagramming idioms has been very effective in assisting with language text.
The Use of Digital Media in the Construction of Chinese Art Theory and Art Aesthetic Discourse System
Authors: Ma Junfeng
Published: July 2024

Based on digital media technology, this paper defines Chinese art theory and, at the same time, combines digital media technology and the characteristics of Chinese art aesthetic discourse to construct an art aesthetic discourse system that covers the stage of sensory experience and the stage of “emotional experience”. In order to promote the digitalization of the art aesthetic discourse system, the MCFF algorithm is used to extract the features of art aesthetic discourse, match the features, and then merge the features of art aesthetic discourse based on the weighted summing algorithm so as to achieve the digitization of art aesthetic discourse features. The art aesthetic discourse system in digital media is analyzed based on the research data. The results show that compared with the traditional algorithm, the algorithm of this paper is better than the traditional algorithm in three aspects: pre-emphasis (growth rate of 62.70%), frame-plus-window (growth rate of 68.71%), and data conversion (growth rate of 72.14%). In addition, the aesthetic experiences of landscape painting and figure painting were 96.49±8.4 and 108.00±9.35 points, respectively, and F(1, 20)=20.746, p<0.05, indicating that there is a significant difference in the sensory experience in the aesthetic discourse of art. This study can not only promote dialogue between art creators and scholars but also provide theoretical guidance and practical feedback for the future development of the art field.
Application and analysis of online and offline blended teaching mode based on online and offline in art theory course civics
Authors: Ren Ruiyao
Published: July 2024

In the context of the new era of socialism with Chinese characteristics, college, and university curricula need to reform the content of curriculum Civics and Politics in keeping with the times and introduce new era Civics and Politics elements into the curriculum content. The study integrates civic and political elements into the art theory classroom in a scientific and refined way according to the concept of civic and political curriculum. Then, data mining of students’ online learning behavior in online-offline blended teaching is carried out by constructing an improved Apriori algorithm. There is no significant difference between the midterm grades of the experimental group and the control group, and the mean score of the experimental group’s final grade is 10.55 points higher than that of the control group, and the significance P-value is less than 0.01. The experimental group and the control group present significant differences in the three aspects of artistic creation, artistic symbolism, and artistic content (P<0.05), and P>0.05 in the artistic genre and artistic performance, and the differences between the two groups are relatively small. There is a high correlation between the number of visits to the learning page, the completion of resource learning, the completion of chapter testing, and the learning effect, and there is no significant effect of homework submission initiative on the students’ learning effect.