bluuebunny/crossref_metadata_2025 huggingface dataset:
Employability of higher education graduates: reflections and pedagogical implications
Authors:   Universidade do Minho, Monteiro Sílvia , Almeida Leandro S ,   Universidade do Minho
Published: February 2024

The changes that have occurred in higher education and labour market in recent years highlight the need for an in-depth reflection on current prevailing educational paradigms, and their adequacy in responding to the demands of today’s society. One of the topics that has gained particular attention is related with graduates’ employment rates, which represents one current criteria used to assess the quality of higher education institutions and courses. In this context, this article aims to reflect on current knowledge about graduates’ employability. Considering various empirical works and research lines developed over recent years, we propose a set of four premises in an effort to lend structure to some pedagogical and curricular implications for higher education institutions: (i) the risk of the “one-dimensional prioritisation” of technical skills; (ii) career management skills as a catalyst for employability; (iii) graduates and their transformative potential within organizations; (iv) the implausibility of a single model for promoting employability. To conclude, it is argued that the education of future graduates should not limit itself to the present. Pedagogical practices of teaching and learning must promote the continued construction of knowledge and skills, practical experience and work placements in organizations with different structures within the community.
APRESENTAÇÃO: Investigação Qualitativa: Diferentes abordagens em Educação
Authors:   Universidade de Aveiro, Costa António Pedro , Freitas Fábio ,   Instituto Politécnico de Leiria, Sanmamed Mercedes González ,   Universidad e La Coruña
Published: February 2024

Apresentação do Dossier sobre investigação qualitativa e as diferentes abordagens em Educação.
Editorial
Authors:   Universidade Lusófona, Teodoro António , Brás José Viegas ,   Universidade Lusófona, Gonçalves Maria Neves ,   Universidade Lusófona
Published: February 2024

Apresentação do nº 51 da Revista Lusófona de Educação sobre metodologias qualitativas
Place-based learning: A framework for building a multilevel approach from companies
Authors:   Universidade do Porto, Cruz Sofia Alexandra
Published: February 2024

Company visits are common in Master of Business Administration (MBA) programmes, but much less frequent in undergraduate business education. The purpose of this article is to advocate a framework for place-based learning multilevel approach, illustrating how each level can be incorporated into a sociology of organizations course in the bachelor of business administration featuring company visits. Considering empirical works and research lines developed over recent years, this framework highlights the understanding of organizational, group and individual levels through reflexive, active and collaborative practices. These practices are carried out by students and teachers, in close articulation with the members of the business communities, inside and outside of the classroom, bringing with it a sense of learning teaching unity that promotes interdependent and challenging learning ecologies. To conclude, it is argued that place-based learning needs to explore a deeper reflection on the interconnections and complexities between the organizational, group and individual levels. More effective teaching and learning strategies must be promote with a greater connection to a business organizational environment becoming more uncertain and volatile.
Pós-graduação em educação no norte do Brasil: no chão da Amazônia, temas e contextos
Authors:   Universidade Federal do Amazonas, Garcia Fabiane Maia , Magalhães Luciano Santos ,   Universidade Federal do Amazonas, Weigel Valéria Augusta Cerqueira de Medeiros ,   Universidade Federal do Amazonas
Published: February 2024

O objetivo deste trabalho consistiu em investigar a oferta de cursos e as características das teses de doutorado dos programas de pós-graduação em educação da Região Norte do Brasil, a partir de documentos disponibilizados em plataformas da agência de avaliação governamental Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (Capes). O referencial teórico conta com um pot-pourri de autores que abordam a pós-graduação e, também, a partir da crítica epistemológica habermasiana. Analisamos os dados dos cursos reportados pela Capes na Plataforma Sucupira e as teses defendidas em 2017 e 2018 contidas no Catálogo de Teses e Dissertações da Capes. Identificamos que há predomínio de programas acadêmicos e que há ao menos um curso de mestrado em educação em cada um dos sete estados da Região Norte. De outro lado, persiste a suboferta do doutorado, bem como a pós-graduação em educação não possui sedes nos interiores da Amazônia. Identificamos nas teses uma imensa variedade de temas que possivelmente traduzem os vários problemas educacionais do contexto amazônico, bem como há diversas fundamentações teórico-epistemológicas, predominando interesses comunicativos e emancipatórios, não havendo nenhuma pesquisa puramente empírico-analítica. Ainda, a totalidade das teses analisadas possui abordagem qualitativa, o que sugere a busca por estudos mais aprofundados, discussão de problemas complexos e multifacetados.
Ensino remoto emergencial (ERE) na educação superior: aprendizagens desterritorializadas
Authors:   Universidade Nove de Julho (UNINOVE), Tavares Manuel , Gomes Sandra ,   Universidade Nove de Julho (UNINOVE), Fratelli Minéa Pascholaleto ,   Universidade Nove de Julho (UNINOVE)
Published: February 2024

O cenário atual de pandemia, que afetou todo o mundo, desde o início de 2020, teve importantes e significativos impactos em todas as áreas da sociedade, com particular destaque, na educação. É sobre alguns desses impactos que refletiremos no presente texto. O estudo que se propõe tem por objetivo refletir sobre os efeitos da pandemia na educação superior, com especificidade no Brasil e como questão de pesquisa “quais as opiniões dos estudantes de um curso de Pedagogia sobre o ensino remoto emergencial”? Faremos algumas reflexões a partir de literatura publicada em 2020-2021 e completaremos essa reflexão a partir de dados empíricos coletados por questionário aplicado a estudantes de um curso de Pedagogia de uma IES particular. A incerteza, perplexidade, volatilidade, complexidade e ambiguidade fazem parte integrante do cotidiano de estudantes, suas famílias e dos professores e gestores. O virtual tornou-se a única realidade perante a qual é necessário fazer escolhas e tomar decisões. A necessidade de adaptações nos sistemas de ensino com o recurso às novas tecnologias teve como efeito a adoção de um caminho simples, ou seja, pela mera utilização das tecnologias, não se sabendo ainda quais os efeitos na aprendizagem/formação dos estudantes. Este caminho, que consiste na mera substituição de aulas presenciais por aulas online, não garante, a priori, a qualidade de ensino. Como não se conhecem dados empíricos que permitam refletir sobre os efeitos nos estudantes da substituição das aulas presenciais por aulas online, pretendemos saber, a partir dos dados coletados, quais os impactos negativos e positivos, das alterações em curso.
Construire la Paix par l'Éducation: reseaux et mouvements internationaux au XXI Siècle
Authors:   Universidade Lusófona, Gonçalves Maria Neves , Brás José Viegas ,   Universidade Lusófona
Published: February 2024

Recensão crítica da obra de Rita Hofstetter, Joëlle Droux, Michel Christian (éd.) (2021). CONSTRUIRE LA PAIX PAR L’EDUCATION: RESEAUX ET MOUVEMENTS INTERNATIONAUX AU XXE SIECLE. Edições Alphil-Presses Universitaires Suisses, 342p. ISBN: 978-2-88930-322-9
100 anos de Paulo Freire: a pedagogia freiriana no ensino-aprendizagem da educação brasileira
Authors:   Universidade Nove de Julho (UNINOVE), Fratelli Minéa Paschoaleto
Published: February 2024

Recensão crítica da obra de Pereira, Carlos Luis (org.). (2021). 100 anos de Paulo Freire: a pedagogia freiriana no ensino-aprendizagem da educação brasileira.
Nota Introdutória
Authors:   Universidad de Barcelona, Montané Alejandra , Muñoz-Saavedra Judith ,   Universidad de Barcelona, Sánchez-Valverde Carlos ,   Universidad de Barcelona
Published: February 2024

Apresentação do Dossier sobre Educação Social
Relación entre Prejuicios, Competencia Emocional y Estrategias de Afrontamiento en estudiantes de Educación Social. Estudio exploratorio en tres universidades españolas
Authors:   Universitat de Barcelona, Álvarez Assumpta Aneas , Rodríguez Carmen Carmona ,   Universitat de Barcelona, Ramírez Núria Lorenzo ,   Universitat de Barcelona, Tobaruela Mónica Ferré ,   Universitat de Barcelona
Published: February 2024

Estudio exploratorio de carácter cuantitativo en el que se analizan prejuicios, competencia emocional y estrategias de afrontamiento del alumnado de Educación Social de tres universidades (Universidad de Barcelona, Universidad de Valencia y Universidad de Granada) a fin de mejorar la formación inicial y su desarrollo profesional, destacando las potencialidades y los retos de nuestros estudiantes. La recogida de datos se realiza mediante un cuestionario de autopercepción compuesto por cuatro componentes: a) Datos sociodemográficos y de identificación, b) Escala de prejuicios hacia colectivos minorizados, c) Escala de desarrollo emocional en adultos y d) Escala de afrontamiento de conflictos en contexto de diversidad y aplicado a una muestra es de 135 estudiantes universitarios. Los resultados muestran que no hay diferencias significativas entre géneros, si bien las mujeres tienen menos prejuicios. Se constata que las personas que tienen más desarrollada su competencia emocional afrontan mejor sus conflictos y que las personas más jóvenes tienen mejor competencia emocional y mejores estrategias de afrontamiento. Sigue llamando la atención el antisemitismo, anticristianismo y anti LGTBI en el colectivo de estudiantes. Por tanto, una educación transformadora desde la universidad es necesaria para poder llevar a cabo futuras acciones educativas y profesionales que impacten de forma global.
Pedagogia Social e Educação Social no cenário Brasileiro: para além e aquém dos muros da escola
Authors:   Universidade Regional do Noroeste do Estado do Rio Grande do Sul – Unijuí, Rodrigues Anelise de Oliveira , Silva Sidinei Pithan da ,   Universidade Regional do Noroeste do Estado do Rio Grande do Sul – Unijuí
Published: February 2024

A educação como prática social é complexa, permeada por tensões, dilemas e conflitos, que exigem um posicionamento ético e político. Dessa forma, este artigo aborda as temáticas da Pedagogia Social e da Educação Social com o objetivo de analisar concepções teóricas e propor provocações sobre novas perspectivas e possibilidades para essa área. Aborda também o papel do educador social em seus múltiplos espaços de atuação, com foco especial na Educação Popular. A metodologia norteadora do trabalho é de abordagem qualitativa, embasada em uma pesquisa de caráter bibliográfico. A construção do referencial teórico foi fundamentada em autores como Caliman (2009, 2010, 2011), Freire (1996), Gadotti (2007) entre outros. Conclui-se que a Pedagogia Social está alicerçada nas ciências da educação e é entendida como uma ciência por ter seu próprio campo de atuação: a Educação Social. Concentra seus esforços em sujeitos em situação de vulnerabilidade social, contribuindo para o desenvolvimento humano e fortalecendo os laços sociais por meio de ações educativas libertadoras e emancipatórias. Assim, é imperativo que a Pedagogia Social ultrapasse os muros da escola, fazendo uníssono e explodindo o grito de justiça social, para aquém e para além deles.
Educação Social no Brasil: formação profissional
Authors:   Universidade Federal do Mato Grosso do Sul e AESMAR, Souza Cleia Renata Teixeira de
Published: February 2024

Análise crítica da obra Educação Social no Brasil: formação profissional, de Natali, Paula Marçal & Müller, Verônica Regina. (2022).
Investigation of The Effect of Mechanical Vibration Applied During Solidification on The Microstructure and Properties of Aluminum 356 Alloy
Authors: Özgü Taha Süreyya , Çalın Recep , Tanış Naci Arda
Published: February 2024

Manufacturing by casting method in aluminum and its alloys is preferred by different industries today. It may be necessary to improve the mechanical properties of the materials according to different industries and different strength requirements. The mechanical properties of metal alloys are directly related to the microstructure grain sizes. Therefore, many grain reduction methods are used during production or heat treatment. In this study, A356 alloys were molded into molds at 750 °C and exposed to vibration frequency at 0, 8.33, 16.66, 25, and 33.33 Hz during solidification. Optical microscopes images were analyzed in image analysis programs to measure the grain sizes of the samples that solidified after solidification. In addition, microhardness tests of samples were carried out to examine the effect of vibration and grain reduction on mechanical behavior. In the analyzes made, it was determined that the grain sizes decreased from 54.984 to 26.958 μm and the hardness values increased from 60.48 to 126.94 HV with increasing vibration frequency.
Computed tomography-guided cannulated lag screw placement for treatment of ununited anconeal process: surgical technique, clinical outcome, and radiographic healing in 7 dogs
Authors: Danner Alexa L. , Leonard Katherine , Chandler John , Gendler Andrew
Published: February 2024

OBJECTIVE

A novel technique and outcomes for correction of ununited anconeal process (UAP) via CT-guided cannulated lag screw placement in 7 canine patients is described.

ANIMALS

Cases of canine patients (7 patients/8 elbows) diagnosed with UAP that subsequently underwent CT-guided cannulated lag screw placement were retrospectively evaluated.

CLINICAL PRESENTATION

Pre- and postoperative exam findings (lameness and pain on range of motion) are presented. Preoperative radiographs and postoperative radiographs at 2 time points (approximately 8 weeks postoperatively and at the time of the most recent imaging; mean, 221 days; range, 85 to 828 days) were scored for degree of arthrosis and postoperative radiographs were evaluated for radiographic union. Complications were reported and stratified by severity and time postoperatively.

RESULTS

Minor perioperative (0 to 3 months postoperatively) complications included seroma formation (n = 1) and major perioperative complications involved development of surgical site infections (2), with 2 patients requiring implant removal in the perioperative period (44 and 82 days postoperatively). All patients achieved radiographic union, defined as partial or complete bridging of the anconeal process to the ulna within the study period (mean radiographic follow-up time 221 days postoperatively; range, 85 to 828 days; 5/8 joints partial bridging, 3/8 joints complete bridging) and pre- versus postoperative elbow arthrosis scores remained static in all patients.

CLINICAL RELEVANCE

The case outcomes described support the use of CT-guided cannulated lag screw placement as a feasible option for treatment of UAP.
Construction of Dynamic Early Warning Mechanism for Civic Education in Colleges and Universities Based on Data Mining
Authors: Yang Mingna , Guo Hongjian
Published: February 2024

This paper adopts a nonlinear support vector machine to categorize the information on students’ ideology and politics in colleges and universities, and completes the construction of a dynamic early warning mechanism for ideology and politics education. Firstly, it builds the early warning system, establishes the students’ civic and political information file, designs the user information module of the system, then sets the index system according to the opinions of the civic and political teachers in colleges and universities, and designs the civic and political dynamics early warning module based on this. Following the completion of the design, four groups of tests were conducted. Colleges A and B were used to implement the system for individual testing, followed by early warning testing using data from multiple colleges simultaneously. Finally, the most significant indicators were tested using group condition analysis. The various tests show that the system response speed is 322ms, which is lower than the industry requirement of 1s. Among the three metrics tested, the system accuracy of this paper is the highest, at 87.2%, 88.1%, and 80.7%, respectively. The X5 scores of 87.56% of the students in each university were generally low, in the range of 1 to 2, indicating that the students were not clear about the importance of the Civics program, but the X12 scores of 94.52% of the students were high, indicating that they believed that the Civics program should be retained. Obtaining a high level of Civics education is made possible by achieving a mission responsibility consistency score of 0.865.
Research on the Innovation of Science and Technology Management Data Service Mode under Artificial Intelligence Technology
Authors: Xiao Xiaohua , Su Zhixian
Published: February 2024

S&T management data has a wide range of sources and types, and the innovation of S&T management data service model is an important way for the efficient utilization of S&T resources in the new era, so this paper creates an innovative model of S&T management data service based on Data-Information-Knowledge-Wisdom model and artificial intelligence technology. Heterogeneous data mining technology based on association rules is used to obtain the connection between S&T management data, Lagrange interpolation is used for heterogeneous data cleaning to predict the missing values of S&T management data, and data lineage resolution technology is used to solve the challenges brought by the complex and diverse S&T management data components. Experimental analyses are conducted from both S&T management data processing and data service cases to verify the effectiveness and scientificity of the S&T management data service innovation model proposed in this paper. The results show that in S&T management data processing, this paper’s method consumes less than 2.45s for associated data rule mining, which has high mining efficiency, and the duplication rate and missing rate of data are below 0.0260 and 0.0222. Through the analysis of the service quality data, it can be seen that the degree of explanation of the service process quality problems of the model proposed in this paper tends to be close to 1, which can reflect the differences in the service process quality problems, and provide accurate, intelligent and personalized services for the main body of science and technology innovation.
Analysis of the Influence of Digital Elements on the Effectiveness of Piano Performance
Authors: Wang Yibing
Published: February 2024

In this paper, based on the mathematical description of chord tone groups, the gesture features extracted for the back of the hand, as well as the playing characteristics of different fingers, are different, and a neural network is used to extract the gesture features and information in the piano performance process. From the perspective of piano performance gesture features, combined with the two-way LSTM layer and attention mechanism layer in the neural network and the Softmax classification algorithm, we constructed a neural network model for piano performance evaluation based on digitalized elements and used the data analysis software to analyze the influence of the effect of piano performance based on digitalized elements in an example. The results show that the influence and dissemination evaluation value of the performance effect of the piano repertoire of “Canon” is the highest, with values of 0.85 and 0.712, respectively, and the influence and dissemination evaluation value of the performance effect of the piano repertoire of “To Alice” is the lowest, with the values of 0.06 and 0.05 respectively, which indicates to a certain extent that the digitalized elements have a facilitating role in the enhancement of the influence and dissemination of the piano performance. When in the ‘one’, ‘two’, ‘three’, and ‘X’ gesture states, the index, middle, ring, and little fingers have a high degree of bending, respectively. The index finger, middle finger, ring finger and little finger have high bending degrees, respectively, and the values are all greater than 73, which confirms that the characterization of playing gestures in piano performance based on digitized elements is of great significance in improving the influence of piano performance effect.
Research on the Mechanism of Enhancing Informatization Teaching Ability of College Teachers Based on Gray Clustering Evaluation Model
Authors: Wan Tao
Published: February 2024

This paper constructs a gray clustering assessment model, combines the indicators of information technology literacy, technology-supported learning, and information technology teaching ability to evaluate the information technology teaching ability of A college teachers, and explores the use of information technology equipment of college teachers. And through the construction and calculation of the whitening weight function to refine the classification of college teachers’ informatization teaching ability, for different categories of teachers’ informatization application presenting different characteristics, using one-way ANOVA and adding the Scheffe (C) test to test the inter-group variability of different categories, in-depth exploration of the influencing factors of teachers’ informatization teaching in different categories. The results show that the overall water mean of teachers’ informatization teaching ability in school A is 3.88±0.59, and the model divides teachers’ informatization teaching level in college A into three categories: 3.8-4.5, 3-3.8, and 1-3, with the proportion of each category being 27.8%, 40.1%, and 32.1%, respectively. This study focuses on analyzing the relevant factors affecting teachers’ informatization teaching ability and puts forward countermeasure suggestions according to local conditions, which is of great significance to deepen the reform of education and teaching.
Research on the Path of Integrating Ecological Culture into the High-Quality Development of Henan Urbanization in the Era of Big Data
Authors: Wang Xingwei
Published: February 2024

With the requirements of a high-quality development strategy, new urbanization also takes high quality as the development goal. This paper utilizes Henan Province as the spatial research carrier to screen and construct a model for urbanization high-quality development and ecological and culturally coordinated development. Comprehensive use of ArcGIS spatial analysis, coupled coordination degree model, synchronicity model and Markov chain and other methods and other methods of the main system, to analyze the regional differences in the level of high-quality and coordinated development of urbanization in Henan Province and the spatial evolution process. It also explores the evolutionary characteristics and functional interaction between urbanization and ecological culture in Henan from the perspective of high-quality development. The results show that the level of urbanization in Henan Province under the integration of ecological culture has been steadily increasing, but there is a large gap between the urbanization levels of various regions. Significant differences exist between the high-quality synergistic development of urbanization in Zhengzhou at the highest level of 0.7782 in the 2022 time period and the low level of only 0.33. This study can provide corresponding policy recommendations for the high-quality development of urbanization in Henan Province, as well as a reference for other provinces with similar urbanization processes as Henan Province.
Research on Computer Graphics Processing Technology Based on GIS Model and Its Application
Authors: He Chun , Peng Xuanmiao , Chen Zhichao
Published: February 2024

In this paper, for the remote sensing images acquired under the GIS model, the wavelet thresholding denoising method is used to reduce the noise to improve the quality of computer images, combined with the image filtering method to complete the grayscale preprocessing of the image, and fused different operators to extract the edge features. To improve image alignment and decrease the amount of splicing calculations, a proposed raster DEM data fusion and splicing algorithm utilizes image feature information. An experimental environment has been created for preprocessing computer vision images by comparing peak signal-to-noise values at different levels to find the best parameters for wavelet thresholding denoising. The feasibility of the preprocessing method in this paper is tested by placing unpreprocessed and preprocessed images in DeepLabv3 and DAM-DeepLab models for training purposes. Test the effectiveness of this paper’s algorithm for fuzzy image target feature description by simulated image edge extraction process. Real-time and effective evaluation of image stitching verifies the reliability of the algorithm. The data show that the splicing results of the four different methods under different scene images are 6.6932 for the global transform algorithm, 6.6831 for the APAP algorithm, 6.6449 for the AANAP algorithm, and 6.6948 for the algorithm of this paper. This paper’s algorithm has seen an improvement in average information entropy by 0.16%, 1.17%, and 4.99% when compared to other algorithms. The theory of graphics application technology within GIS is enriched through the study of computer graphics processing technology within the GIS model.
UEFI-based Research on the Inner Operation Mechanism and Characteristics of Firmware Vulnerabilities in Key Devices of Electric Power Monitoring Systems
Authors: Chen Mingliang , Yu Yingting , Xie Guoqiang , Zeng Chuanhan , Xu Zaide
Published: February 2024

With the large number of computer technology and modern communication technology used in power monitoring systems, its security protection is constantly facing new challenges. The UEFI firmware is used to construct the physical connection structure of key devices in the power monitoring system in this paper. Using fuzzy testing methods to mine the vulnerabilities existing in the power monitoring system by generating a large number of variant test cases as the monitoring object, based on the collection of information of the basic blocks covered during the test run of the vulnerability seed to determine the target point to which the seed belongs. The coverage weight of the seed is determined with the help of the simulated annealing algorithm in order to accomplish task division of the target point. The fuzzy test method is used to analyze the operation mechanism and characteristics of the vulnerabilities in the power monitoring system, and the firmware attack mechanism of different HOOKs under UEFI is explored to summarize the characteristics of the scenarios in which the vulnerabilities appear in the power system as well as their impacts. The results show that the impact caused by vulnerabilities in the power monitoring system on the generation side and transmission side is mainly to damage the integrity and availability of information, the integrity and availability of the vulnerabilities in the generation side of the production side of the device with a risk rating of 63.74, 71.73, respectively, and the vulnerabilities in the transmission side of the SCADA with a risk rating of 79.04, 69.36, respectively. The vulnerabilities detected 608 security vulnerabilities were implanted in the UEF module, and 653 possible security problems were reported by the detection, of which the statistical underreporting rate was 1.48% and the false alarm rate was 9.05%.
An Exploration of English and American Literature Classroom Teaching in College English Based on Interactive Teaching Methodology
Authors: Song Rongrong
Published: February 2024

This paper establishes an index system based on the interactive teaching method and the characteristics of the English and American literature classroom, quantifies the index system as well as the student opinion data using the RBF neural network, and subsequently derives the actual teaching effect of the interactive teaching method for the classroom teachers to adjust their teaching strategies. The focus of this paper is to add a connection from the input layer to the output layer in the RBF neural network and to improve the operating effect of the RBF neural network with nearest neighbor clustering and steepest descent method. After the model design was completed, it was put into practical use in two universities to quantitatively evaluate the teaching effectiveness of the experimental and control classes that adopted the method of this paper. The average test scores of the students in the two classes in the first university differed by 5.2 points, but the probability of significance from the independent samples t-test results of the post-test scores of the two classes was 0.042, which was lower than 0.05. The reading score of the experimental class in the second university after changing the teaching method was 3.4863, which was higher than that of the control class, which was 2.8567. The use of the interactive teaching method in the classroom of English and American Literature can enhance students’ various abilities.
Research on the Reform Path of Music Teaching in Colleges and Universities in the Era of Artificial Intelligence
Authors: Zhang Kai
Published: February 2024

In recent years, the rapid development of artificial intelligence technology represented by knowledge graphs and deep learning has provided an opportunity for educational innovation and learning mode change. A smart music learning model for colleges and universities is developed in this paper with the help of artificial intelligence technology. Learning data analysis is achieved through the use of a community discovery algorithm based on graph data in the model. In order to construct the learning community, the AGNES hierarchical clustering algorithm is used to cluster individual samples in the dataset. Learning big data and music professional ability are correlated through the mining of learner portrait features. Personalized learning paths are generated using the improved convolutional neural network. As experimental subjects, sophomore music majors at X institution were tested and analyzed for the teaching model in the end. The results show that the maximum learning interaction coefficient of the experimental subjects can be obtained as 5.34 and the maximum learning path coefficient as 2.84 under the smart learning mode. The correlation coefficients of the use of the smart learning mode with the usual test scores and the learning effort values are between 0.318 and 0.502. Teachers can obtain precise teaching data from this paper to quantitatively characterize subject competence goals and facilitate the smooth implementation of smart learning.
Analysis of Influencing Factors on the Quality of Teaching Reform of Physical Education Courses in Colleges and Universities Combined with Entropy Weighted TOPSIS Modeling
Authors: Lu Yikuan
Published: February 2024

Students’ total core literacy is influenced by the quality of instruction in physical education courses, which also has an impact on the students’ physical quality and complete level. The evaluation index system established in this paper is based on changes in teaching standards in physical education programs at higher learning institutions. A thorough evaluation of reform quality is performed using the TOPSIS method, while index weights are calculated using the entropy weight method. The quality of the physical education class teaching reform was used as an explanatory variable while teaching material, teaching method, and teaching evaluation were used as explanatory factors to create multiple linear regression equations. The evaluation of teaching reform was conducted using both horizontal and vertical methods, utilizing fifteen institutions in the province of S as examples. The factors that had an impact on the reform were examined through regression and correlation analyses. The findings demonstrate that: first, a positive correlation between subject matter, teaching methods, and teaching evaluation is demonstrated at the 1% level; second, the R2 value in the regression analysis increases from 0.457 to 0.638; and third, the quality of instruction reform in university physical education courses will encourage the generation of students’ sports understanding, with a weight value of 0.3674. To truly enhance the quality of its teaching reform and foster students’ understanding of physical education, colleges and universities need to start with the teaching content, teaching methods, and teaching assessment of their physical education courses. This is a good example of how to raise the standard of its instructional overhaul and foster a lifetime interest in sports in kids.
Study on the Development of “Trinity” Elderly Education in the Context of Global Informatization
Authors: Zhu Zheng , Yuan Yirong , Chai Fei
Published: February 2024

Promoting the high-quality development of geriatric education is the value tendency of the national aging policy, and it is the proper meaning of practicing the concept of positive aging and the necessary way to build a lifelong education system. This paper constructs a “three-in-one” geriatric education community from the three dimensions of schooling, teaching and learning and establishes a geriatric education service quality evaluation system with SERVQUAL service quality model. With regard to the relevant factors affecting the development of the quality of geriatric education services, the University of Geriatric Education in Province D is taken as an example, and the data are quantitatively analyzed by using structural equation modeling and robust regression estimation. The results show that the expected value of tangibility in the quality of geriatric education services is the lowest at 4.139, its perceived gap value is only −0.334, and the expectations of older learners under 65 years old are in the range of 4.75 to 5.00. The regression coefficients of government policies and infrastructure on the development of the quality of elderly education services were 0.282 and 0.251, respectively, which decreased significantly after the inclusion of demographic variables. The elderly’s subjective well-being had a direct effect of 0.452 on the quality of geriatric education services, which was also significant indirectly. The development of high-quality geriatric education requires the joint efforts of the government and society at large to provide an effective foundation for the realization of lifelong education.
Research on the digital cultivation form of “double-qualified” teachers team in higher vocational colleges and universities under the perspective of industry-teaching integration
Authors: Dai Jingjing
Published: February 2024

The insufficiency of the training mechanism for the construction of “double-qualified” teachers in higher vocational colleges and universities restricts the high-quality development of higher vocational education in the future. This paper takes the four dimensions of digital cultivation of teachers in higher vocational colleges as the entry point, constructs a four-dimensional co-creation cultivation model of higher vocational teachers based on the UMU digital platform, and designs the cultivation process and evaluation scale of “double-qualified” teachers based on this model. Using the convenience of the digital platform, a convolutional neural network is combined with the probability matrix distribution to establish the CUPMF model to realize the personalized recommendation of digital teaching resources for higher vocational teachers. This paper uses example verification to validate the effectiveness of the four-dimensional co-creation cultivation model proposed in this paper based on teachers’ classroom performance and work evaluation. The results show that the NDCG scores of the CUPMF model range from 0.7 to 0.9, the classroom performance shows a significant difference at the 1% level before and after the development of the training model, and the content scores of the teachers’ works increase by 1.129 points, and the correlation coefficients of the dimensions and the teachers’ level of digital application are all more than 0.6. The “double-qualified” higher vocational colleges and universities in the field of industry-education fusion The digital cultivation of “double-qualified” teacher team should rely on the digital platform, establish a four-dimensional co-creation cultivation model, and provide a solid foundation for promoting the digitalization level of higher vocational teachers.
Analysis of the moderating effect of music therapy on autism in the context of big data
Authors: Zou Hongmin , He Yupeng
Published: February 2024

In this paper, in the process of analyzing the response of music therapeutic method to emotion regulation, eye movement data, cognitive data, and EEG signal data were collected to clarify the criteria for the selection of indicators. The wavelet transform algorithm is used to decompose the original EEG signal, extract the features of the EEG signal based on the power spectrum, and improve its coherence. The behavioral intervention for autistic children was specifically addressed through the use of Orff music therapy following the pre-investigation of the subjects. The moderating effect of the music therapy method on the children’s four-eye-relative behavior was analyzed in conjunction with the number of occurrences of the children’s target behaviors in the baseline, intervention, and tracking periods. To explore the cumulative acquisition number and generalization maintenance effects of children’s responses to medium- versus fast-speed music at different teaching sessions in conjunction with the convergence and stability values of response behaviors within the phases. The combination of the music therapy method and the Go/No-go task method was used to analyze the effect of the number of music training sessions on response inhibition in autism. The data showed that the mean of correctness of responses for the second medium-speed music instruction for subject W was 0.495. The highest mean for the three fast music instruction was 0.801. All three subjects maintained a high level of correctness during the maintenance period after the intervention was withdrawn. It has been suggested that music training has a significant impact on improving inhibitory control in children with autism.
Exploring the Teaching Reform of Middle School Ideological and Political Classroom Based on the Background of Internet
Authors: Deng Gang , Chen Qian
Published: February 2024

The combination of Internet technology and education will continue to promote the change of the traditional education model, and will inevitably have a far-reaching impact on the reform of the education field. The wisdom classroom vector model is used to establish a secondary school classroom for ideological and political wisdom in this paper. In the smart classroom, students can recognize facial expressions by using GAN and tripartite consistency loss function. The ANM-CFM action recognition model is formed by the combination of the adaptive normalization module and covariance matrix fusion. For the effectiveness of the intelligent classroom of secondary school ideology and politics proposed in this paper with the related classroom behavior intelligent recognition method, the validation is carried out using example data. The results show that the first 200 frames in the smart classroom are dominated by the teacher’s lecture, and the students’ hand-raising interaction moments are mainly distributed between 200 and 400 frames. At the end of the teaching experiment, the classroom engagement level of the students in the experimental class was 9.037±0.532 points, the thinking level score of the experimental class exceeded 0.5 points compared with that of the control class, and the student’s satisfaction scores for the learning environment of the smart classroom were all over 2.4 points. The adoption of smart classrooms in the background of the Internet can realize the innovative reform of secondary school ideological and political classroom teaching and provide a new guarantee for improving the level of students’ thinking literacy.
Exploration of Cultural and Creative Product Design Thinking in the Age of Artificial Intelligence
Authors: Zhang Shanlin
Published: February 2024

In this paper, we use the inference rules and reasoning rules in the shape grammar to extract the elements of the cultural and creative product design, obtain the graphical elements of the cultural and creative product, import the determined graphical elements of the cultural and creative product of the inference object into Illustrator, use the pen tool to outline the morphological curves of the ornaments into paths, and at the same time organize the outlined morphological curves into the gallery. Aiming at the problem that it is difficult to obtain the optimal cultural and creative product design works in the cultural and creative product design based on shape grammar and using genetic algorithm to optimize the cultural and creative product design model. The optimization model of cultural and creative product design is empirically analyzed using simulation analysis based on research data and parameter settings. The results show that the scaling values (tx

d

1, tx

d

2) of the first layer in the optimal design parameters of the cultural and creative products are approximated to be the maximum value, and the optimal solutions in the samples are (3.61, 0.437) and (3.61, 0.268), respectively, which confirms that the optimization model of the cultural and creative product design can provide theoretical knowledge and reference value for the research of the cultural and creative product design.
An innovative development model for combining visual communication and art design based on the integration of multilevel features
Authors: Zhang Yanli
Published: February 2024

Art design for visual communication is an innovative model that combines art, design and communication, aiming to present artworks through visual elements and design principles. This paper utilizes level 5 features extracted from pillar networks as a rough unimodal feature to extract saliency targets in art design images. Improving their performance can be achieved by cascading different unimodal features. Design the multi-branch group fusion module, which is divided into multi- and single-branch fusion branches according to the number of groups to extract different numbers of image features. Determine the classification of art images by their original and stroke information features. Design a quantitative analysis scheme for image data to analyze the role of art design from the perspective of RGB, HSV, and image visual information communication effect. In the image HSV analysis, the hue distribution region of the sample original image is mainly concentrated in [0,0.1] and [0.5,0.6], the distribution is more concentrated, and 1/3 of the maximum value of the saturation is under 0.8, which shows the visual characteristics mainly through the hue component. A better communication effect can be attributed to the mean value of the color conciseness score reaching 4.212 in the image visual communication effect.
Innovative Research on the Quality Evaluation Method of English Translation Teaching in Colleges and Universities Based on Neural Network Modeling
Authors: Dou Weiwei , Yang Kaiye
Published: February 2024

This paper presents BP neural network as an evaluation tool for English translation instruction in colleges and universities. It does this by analyzing and combing the structure of BP neural networks, combining the five first-level indices with the assessment of indexes data preprocessing method, and building an evaluation system based on BP neural networks. We get sample data for the teaching quality assessment indexes based on the example teaching, evaluate it, and confirm that the BP neural network is feasible to use in the evaluation model. Two randomly selected college English language teaching classrooms are used as an example for the class, and the teaching quality rating method is utilized and analyzed. The teaching quality evaluation system’s findings are used to investigate the influencing factors that affect the quality of English translation teaching in higher education institutions. The teaching effect is also discussed about the impact of course time and content arrangements. According to the analysis, the English translation teaching evaluation index system built around the BP neural network model has a substantial amount of credibility because Kendall’s harmony coefficient W = 0.756 χ
2 = 7.687 χ
2 (p − 0.025) = 7.249 indicates that the consistency credibility of the instructional quality evaluation system goes to the test at a significant level of P = 0.025 and the opinions are very uniform.
Optimization of Color Matching and Conveyance of Picture Information in Chinese Oil Painting under the Background of Big Data
Authors: Jia Changjuan
Published: February 2024

Color, as the first element affecting human vision, is particularly important in the process of oil painting art creation. This paper constructs a color-matching optimization algorithm using convolutional neural network and generative adversarial network algorithms to optimize the four optimization factors of Chinese oil painting: color brightness, hue, contrast and orderliness. Color beauty is used to measure the color matching and design effect of Chinese oil paintings, and the order factor and complexity factor between each color of the color matching scheme are calculated. Finally, the effectiveness of the color matching optimization scheme is verified by taking the Chinese oil painting ‘Eight Nine Geese Coming’ as the research object. The results show that the harmonies of the four color-matching optimization schemes are 3.53, 2.86, 3.43 and 2.34, respectively, with an overall average improvement of 5.1175 percentage points compared with that before optimization. The color matching of Chinese oil paintings is based on a theoretical basis provided by this study, and it also introduces a new line of thought.
Modeling Research on Quality Evaluation of Talent Cultivation for Industry-Teaching Integration in College Education Based on IPO Modeling
Authors: Liu Xuhao , Wang Jiali
Published: February 2024

The rapid development of the economy makes the social requirements for talent rise, and exploring the quality evaluation of talent cultivation in the integration of university education and industry has become a topic worthy of in-depth study. This paper is based on the IPO model for the construction of a university education industry-teaching integration talent cultivation quality evaluation index system and utilizes CRITIC analysis method to calculate the index weights of the talent cultivation quality evaluation system. The GRA-TOPSIS evaluation model was established by combining the gray correlation analysis method with the ideal sorting TOPSIS method to realize the comprehensive evaluation of the quality of talent cultivation for the integration of education and industry in colleges and universities. To further explore the obstacle factors that hinder the development of talent cultivation quality of university industry-teaching integration, the data were quantitatively analyzed by using the diagnostic model of obstacle factors. The results show that in the evaluation of talent cultivation quality, the weight value of teaching and training is 0.1449, and the relative proximity of talent cultivation quality of colleges and universities has increased by 18.36% from 2015 to 2022, and the obstacle degree of the construction of training bases to the quality of talent cultivation of university-industry-teaching integration has reached 49.93%. The improvement of talent cultivation quality of university industry-industry integration needs to fully implement the strategy of university-enterprise cooperation based on student’s needs and provide more practical training bases to enhance students’ practical ability.