Evaluating the latest trends of Industry 4.0 based on LDA topic model

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.

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

2024

The Value Following and Optimization Path of Teacher Evaluation Reform in Colleges and Universities in the New Era

Chen

2024

Based on the current practice progress and the realistic dilemma of teacher evaluation reform in colleges and universities, the teacher evaluation reform in colleges and universities in the new era should adhere to the main principles of moral education, systematic and pluralistic, scientific and effective, and talent cultivation. We built a teacher quality evaluation index system in this study to follow the new rules for how teachers are evaluated in colleges and universities. We used fuzzy hierarchical analysis and fuzzy comprehensive evaluation to look at the multivariate structured data. It also combines natural language processing technology to achieve multivariate evaluations for college teachers. The results demonstrate that the construction of a multivariate evaluation model enables a diversified assessment of teachers’ teaching ability, thereby assisting teachers in achieving a more objective and accurate evaluation. The innovative path of teacher evaluation in colleges and universities should be based on establishing moral character, implementing the mission of teaching as the starting point, taking the sound evaluation framework system as the focus point, taking the rational use of assessment results as the key point, and promoting teacher growth and development as the ending point.

Research on teaching evolution model of piano accompaniment in colleges and universities in information age

Liu

2024

Piano accompaniment in music teaching is not only a music-performing art but also has its unique value as a teaching tool. The research adopts the LDA model for theme modeling, combines the theoretical foundation of the LDA model, uses Python for practice, constructs the theme discovery and evolution analysis model based on LDA and designs the evolution analysis process of piano accompaniment teaching theme to carry out the evolution analysis of piano accompaniment teaching theme. In this paper, the post-discrete analysis method is used to identify the hot teaching themes in piano accompaniment teaching research. By analyzing the trend of theme evolution in different time slices, it is found that the overall piano accompaniment teaching theme shows more obvious dynamics, in which the theme of “improvisation accompaniment” has been maintained at a higher probability, and the average theme intensity of the piano accompaniment teaching text is maintained at a rate of change between 70% and 90%. Finally, the theme texts were divided into four time periods, and four themes with evolutionary relationships were identified by calculating the JS distance and setting a threshold. Then, the changes in theme keywords in different periods were analyzed to explore the evolution of themes in piano accompaniment teaching.