Art Of Teaching Research Articles

Lagrange-enhanced GRA framework for probabilistic simplified neutrosophic multiple-attributes decision-making and applications to painting teaching quality evaluation

Universities are important talent training bases in China and the main driving force for achieving the strategic layout of “revitalizing the country through science and education” and “strengthening the country through talent". Oil painting is a global art with rich humanistic and artistic value. Most art colleges in China have set up oil painting courses. Analyze the current situation and value of oil painting course teaching in local art (teacher training) majors, and leverage the educational role of oil painting courses by enriching course offerings, emphasizing the integration of humanistic innovation, improving teacher literacy, and striving to further improve the quality and efficiency of oil painting course teaching. The quality evaluation of oil painting teaching in universities is viewed as multiple-attribute decision-making (MADM). The grey relational analysis (GRA) is a useful tool to cope with the MADM issue. The probabilistic simplified Neutrosophic set (PSNSs) is easy to characterize uncertain information during the quality evaluation of oil painting teaching in universities. In this paper, in order to obtain the weight information, an optimization model implemented to obtain a simple and exact formula which can be employed to derive the attribute weights values based on the Lagrange function and the probabilistic simplified neutrosophic number grey relational analysis (PSNN-GRA) technique is implemented for MADM to rank the alternatives. Finally, a numerical example for quality evaluation of oil painting teaching in universities is used to verify the practicability of the PSNN-GRA technique and compares it with other techniques.

Embodied, dramatizing performances in science class: multimodal spaces and places of knowledge and identity construction

ABSTRACT We explored the semiotic choices children in grades 1–6 made that nurtured embodied, dramatizing performances in science classes at urban public schools, serving predominantly students of color in a large US city. We studied how such choices in school and home settings (when instruction was remote during the COVID-19 pandemic) were implicated in the children’s knowledge and identity construction and related to available resources and positionings. Multimodality and social semiotics, social practice theory, and positioning theory were the three theoretical anchors that guided the study, along with sociocultural and sociopolitical framings of science education. The study took place in the context of the multi-year collaboration STAGE (Science Theatre for Advancing Generative Engagement) among teachers and university educators designing and studying pedagogies of embodiment as part of students’ engagement in school science. The ethnographic design of the larger research allowed us to engage over a school year with each class. The focus of this study is on classes of three teachers, who collaborated with a teaching artist, using data from video-recordings, fieldnotes, and conversations with students and teachers. The findings point to the generative nature of embodiments in terms of both the knowledge and identities that the children were constructing and the factors that shaped that generativity. These include (a) the resources available, (b) the children’s own particular interests and sources of excitement, and (c) the simultaneous use of multiple semiotic tools that offer different affordances for meaning making. The findings affirm that multimodal embodied performances children design and create in school spaces (classrooms and settings for larger school gatherings, like auditoria) and at home provide opportunities to desettle expected axiological, ontological, and epistemological norms that often dominate science teaching. The power of dramatizing and of performing arts is facilitating the development of connections, solidarity, and feelings among peoples and materials.

Mathematical Analysis of Teaching Art and its Effect On Packaging Design Give Lessons

Abstract Aims: To let students know that packaging design teaching is both a science and an art like any other course, only when students understand this, can they teach and educate people once they are engaged in this profession. Methods: Observation, experiment, investigation, and other methods were used to carry out a relatively long time of teaching practice in the course of Packaging Design, and the teaching art was explored. Results: Practice shows that if students want to truly realize that teaching is both a science and an art, they must adhere to the purpose of instilling in teaching for a long time, and fully understand the history of teaching artistry, its characteristics, and its functions. Conclusion: Through the mathematical statistical analysis and research of teaching art practice and effect, we believe that any course is not a simple knowledge teaching, it is a process of educating people. We must cultivate the next generation to be well-rounded individuals, ensuring they are intellectually enriched and nurtured in moral values, physical health, aesthetic appreciation, and work skills. This holistic approach ensures that while they acquire knowledge, they are also exposed to and trained in the arts and practical skills. Only when people are well-trained can society be harmonious and beautiful. Therefore, the research on teaching art in packaging design has analyzed the three most important artistic effects of teaching blackboard art, language art, and teaching preparation art. Those with good teaching art effects account for 16-18%, those with medium teaching art effects account for 70-80%, and those with poor teaching art effects account for 10-16%.

Analysis of Outstanding Problems and Countermeasures in the Reform of Fine Arts Teaching in China’s Colleges and Universities Based on the VAR Model

Abstract With the development of society, the artistic cultivation requirements for talents are increasing. This paper discusses in depth the main problems in the current reform of art teaching and puts forward targeted solution strategies, aiming to improve the overall quality of art teaching. In the study, the key factors affecting the quality of art teaching in colleges and universities were analyzed using the VAR model, and a multimodal art education knowledge map was constructed using the Viterbi method. Through the ALKPT knowledge tracking model, this paper assessed and scored students’ mastery of art knowledge and incorporated the results into the art classroom quality evaluation module. Based on the scoring data, the art classroom quality features were standardized, and the comprehensive evaluation results were derived through feature fusion dynamic weight assignment. Impulse response analysis showed that the number of returnees who studied abroad to learn about art positively impacted art teaching. The empirical results showed that after the reform of art teaching, the students’ art theory scores increased by 5 points on average, the scores were distributed between 10 and 20 points, and the achievement gap between students was reduced. This study provides a robust strategy and evaluation tool for optimizing art teaching, improving teaching quality and promoting students’ artistic literacy.

Research on the Evaluation of Art Teaching Based on Optimized Neural Network of Bottle Sea Sheath Algorithm

Abstract Today, the evolution of art teaching evaluation systems faces significant challenges and opportunities, particularly with the limitations of subjective judgments in traditional methods impacting the accuracy of teaching quality assessments. This study leverages advancements in artificial intelligence, specifically neural networks enhanced by the Taruhai Sheath algorithm, to propose a novel and more objective approach for evaluating art teaching. Our optimized neural network model demonstrates a remarkable 92% accuracy in art teaching evaluations, outperforming traditional methods by 15%. Furthermore, our analysis reveals that the quality of practical teaching is a critical factor in boosting students’ artistic creativity. By applying the Taruhai Sheath algorithm for neural network optimization, this research offers a groundbreaking method to elevate the objectivity and rigor of art education evaluations, promising a significant leap forward in art teaching quality.

An Innovative Exploration of Music Integration into Art Education Teaching in the Context of Big Data

Abstract The interdisciplinary integration of art and music into education majors is a significant reform effort that benefits students’ overall artistic literacy. This study focuses on integrating music into art education teaching, with the goal of teaching concepts and empowering music applications. It uses k-means clustering to analyze the group profile of art teachers’ integration literacy. Then, we selected the influencing factors for music integration in art teaching, explored the relationship between them and the effects of art teaching, and proposed an effective way to integrate music into art education teaching. The results show that the group of teachers’ integration literacy can be divided into four categories: conservative (27.19%), ambivalent (47.50%), balanced (10.31%), and transformational (15.00%), and transformational teachers have the most vital ability to teach music integration. There was a significant positive correlation between the five dimensions of music integration in art teaching and art teaching effectiveness. The most essential effects on teaching effectiveness were found in creating a teaching context (0.217) and guiding the learning of art knowledge (0.154). The study can provide a basis for teaching music and art integration and individualized development of teachers’ integration literacy.

Experiences and Sense-Making Processes of Online Teaching Internship: A Master of Teaching Programme

Teaching requires a student-teaching internship for the license and registration, usually completed from the face-to-face and on-campus components. However, due to the covid-19 pandemic, many classrooms have switched to online platforms, regardless of the levels. This study aims to understand student-teachers’ experiences of an online-based student-teaching internship and how such internships influence the sense-making processes of student-teachers in online school environments. In line with the self-efficacy theory and social cognitive career and motivation theory, the case study method was used to invite a group of Master of Arts in Teaching students (a total of 18) to share their experiences and sense-making processes of their online student-teaching internship. Semi-structured interviews, focus group activities, and member-checking interviews were used to collect data from the participants. Based on the qualitative data, three themes were categorised: 1) positive experiences, 2) technology education is the trend, and 3) preparation for online classroom environments. The study may provide support or ideas to university leaders, supervisors, department heads, student-teachers, and policymakers to reform and polish their teaching qualification programmes with different types of delivery modes in order to meet the needs and educational trends of the coming decades. Keywords: case study, Master of Arts in Teaching, online learning, self-efficacy, sense-making process, social cognitive career, motivation theory, student-teaching internship

Use and Influence of Technological Gadgets on Students’ Performance in Art Production

Despite the opportunities afforded art teachers in the use of technology today, many of them avoid these opportunities; either because they are not interested or they prefer the traditional way of teaching or they lack the know-how to use them. A cursory look at our Art institutions and Departments in Nigeria today reveals that there is need to overhaul the training methods and facilities in the system to meet global standard and technology-driven society of our time. This paper discusses the place of technology in Art pedagogy; looking at studio practice and theory, its influence on art production and sustainability in the future. The purpose of the study is to evaluate the quality of computer gadget-aided paintings and those made from real objects among selected students in tertiary institutions. Methodology adopted includes literary review, survey and practical experiments. The paper points to the fact that the role of technology cannot be over-emphasized in art teaching and learning, exhibition and sale, recording, preservation, as well as documentation and archiving of art experiences. It is recommended that teachers of Art must be abreast with modern techniques in teaching in a dynamic and technology-driven world of today.

Research on Art Teaching in Border Ethnic Colleges and Universities from the Perspective of Cultural Creativity

Research on Art Teaching in Border Ethnic Colleges and Universities from the Perspective of Cultural Creativity

A Study on the Extension of Chinese Traditional Culture in College Art Education Combined with Gray Correlation Analysis Methods

Abstract This study incorporates gray correlation analysis from gray statistical theory to assess the quality of traditional culture and art education. It establishes an evaluation index system and a gray correlation analysis model, examining the relationship between contemporary art education and traditional culture. The model is applied to identify the correlation, key characteristics, and principal influencing factors of traditional Chinese culture and art education in higher education institutions. Additionally, it examines the advantages of random sequences of factors through specific data processing techniques. The structural model tests the influencing factors on the quality of traditional culture and art education, with an analysis of path coefficients. The results showed that 97.4% of teachers chose traditional culture and art teaching resources, mainly by referring to the network aspect. The results of the weight distribution indicate that the teaching process U3 (0.3613) is the most important in traditional culture and art teaching, and the innovative activities in teaching content (0.8113) hold the largest weight. The top three gray correlation values of the indicators of the second-level factor layer are U43>U22>U32. The direct influence effect of excellent traditional culture permeating the teaching process is 0.232, which has the greatest influence on the quality of teaching. The direct impact of excellent conventional culture permeating teaching content is 0.184, which has the second largest influence on teaching quality. This paper successfully constructs a gray correlation model to analyze the relationship between traditional culture and contemporary art, which has high scientific validity.

Effectiveness of Technology-Aided Instruction Using Microsoft Teams in Teaching Arts

Effectiveness of Technology-Aided Instruction Using Microsoft Teams in Teaching Arts

Application practice of digital painting in basic teaching of fine art in colleges and universities

Application practice of digital painting in basic teaching of fine art in colleges and universities

Practice Reform of Public Art Design Majors under the Blended Teaching Mode

Public art design is an interdisciplinary field that requires both students' comprehensive knowledge level and practical abilities. The application of blended teaching mode has changed the problem of traditional teaching mode being single. By integrating online and offline teaching resources and advantages, students' learning interest and creativity can be effectively stimulated, and their practical and innovative abilities can be improved. Therefore, universities need to actively carry out practical teaching reform, promote the application of blended teaching mode in practical teaching of public art and design majors through optimizing course design, establishing online resource libraries, organizing teacher training, and conducting diversified activities.

Research on the Application of Deep Learning Algorithm Based Design Technology in Lacquer Art Teaching

Abstract In the era of big data, analyzing students’ classroom behavioral status is an effective means of enhancing teaching quality and performance. This paper proposes algorithmic research on student behavior recognition and detection, researches the related algorithms of convolutional neural network’s target detection, further improves the student behavior recognition algorithm of YOLOv5, and tests the optimization program of lacquer art teaching as a real-world test research in terms of students’ behaviors and teaching effects. After using the behavior recognition algorithm proposed in this paper, the students achieved certain results in the creative learning of lacquer artworks. The student’s final grades in lacquer art have a good improvement; the mean value of the final grades of the experimental class is 89.43, the mean value of the final grades of the control class is 85.32, and the mean value of the final grades of the experimental class is higher than that of the control class by 4.11. It can be concluded that the use of learning behavioral recognition algorithms in the teaching of lacquer art has a good effect on enhancement.

The Method of Education Humour Art in Chinese Classroom Teaching of Junior High School

The Method of Education Humour Art in Chinese Classroom Teaching of Junior High School

Research on Visualization Teaching of Art and Design in Colleges and Universities Combining 3D Modeling Technology

Abstract This paper discusses constructing 3D modeling process for art and design works using 3D display technology and SIFT feature algorithm. Firstly, the pictures with different angles are obtained by changing the geometric information of the graphics and determining their positions in 3D space. Then the lighting model and texture mapping are used to enhance the realism, and the feature points are extracted in combination with the SIFT algorithm to determine the angle of the pictures. An initial 3D model is generated by image silhouette convergence, which corrects the image segmentation several times to complete the modeling. In addition, the study applies the modeling technique to the visualization teaching of art design, and verifies the teaching effect through students’ attitude and practical performance. The results show that most students have positive attitudes towards visualization teaching, especially in Class 2 and Class 15, where the favorite rate reaches 65%. Under this teaching method, students can flexibly utilize the design elements to create diversified art works.

Triagular Approach and Relational Engraving: challenges and possibilities for the teaching of arts in basic school

Triagular Approach and Relational Engraving: challenges and possibilities for the teaching of arts in basic school

Application of Artificial Intelligence-based Visual Arts Pedagogy in Traditional Painting Education

Abstract Traditional art has a deep cultural heritage and rich connotation, combining artificial intelligence technology with traditional aesthetics as a way to realize the innovation of traditional painting education mode. In this paper, starting from the performance of traditional painting’s aesthetic value, a personalized intelligent painting teaching mode is constructed based on the visual art teaching method and combined with artificial intelligence. The CCME-GAN model is introduced for the construction of a personalized painting learning generation model, and the BERT-LDA model is established by combining the BERT model and the LDA model for the intelligent evaluation of personalized painting works. Xinjiang folk artworks were selected as the research data source to carry out the validation of personalized painting work generation and assessment, and teaching comparison experiments were designed to analyze the teaching effect of the personalized intelligent teaching mode. The subjective evaluation score of Xinjiang folk art paintings generated by the CCME-GAN model was 9.11, and among the nine clustering results of painting work assessment, the eigenvalues of the theme of painting evaluation of Cluster 1 range between [0,5.5]. At the end of the teaching experiment, students’ creativity scores increased from 2.74±0.37 before the experiment to 4.63±0.26. Relying on artificial intelligence technology can enhance the teaching effect of traditional painting methods and improve students’ painting levels.

Research on the Strategy of Integrating Chen He Paper Binding Art of Xu Pu into Primary School Art Teaching

Research on the Strategy of Integrating Chen He Paper Binding Art of Xu Pu into Primary School Art Teaching

Mathematics and Intelligence Education: The Path of Folk Art Teaching for College Preschool Education Major

Mathematics and Intelligence Education: The Path of Folk Art Teaching for College Preschool Education Major