This study evaluated the performance of several machine learning classifiers—Decision Tree, Random Forest, Logistic Regression, Gradient Boosting, SVM, KNN, and Naive Bayes—for adaptability classification in online and onsite learning environments. Decision Tree and Random Forest models achieved the highest accuracy of 0.833, with balanced precision, recall, and F1-scores, indicating strong, overall performance. In contrast, Naive Bayes, while having the lowest accuracy (0.625), exhibited high recall, making it potentially useful for identifying adaptable students despite lower precision. SHAP (SHapley Additive exPlanations) analysis further identified the most influential features on adaptability classification. IT Resources at the University emerged as the primary factor affecting adaptability, followed by Digital Tools Exposure and Class Scheduling Flexibility. Additionally, Psychological Readiness for Change and Technical Support Availability were impactful, underscoring their importance in engaging students in online learning. These findings illustrate the significance of IT infrastructure and flexible scheduling in fostering adaptability, with implications for enhancing online learning experiences.

With the advent of the era of globalized economy, more attention should be paid to the training mode of comprehensive English literacy in colleges and universities in teaching. Therefore, how to cultivate and improve students' higher-level teaching methods in the context of ecolinguistics, so as to improve the quality of English teaching, is the current focus of English teaching in colleges and universities. By summarizing the basic concepts of ecolinguistics, this paper studies effective measures to improve the quality of linguistics teaching in colleges and universities, and comprehensively improves the quality and efficiency of English language teaching in colleges and universities under the background of ecolinguistics.

With the rapid development of modern AI painting, Chinese university fine arts education is facing numerous challenges and opportunities. This paper analyzes the impact of modern AI painting on traditional art creation and its implications for student skill development. Additionally, it explores the key areas where Chinese university fine arts education needs to transform, including curriculum, teaching methods, and teacher training, while proposing corresponding strategies.

The construction and development of teachers has always been the focus of the construction and development of colleges and universities, and each school has also set up a lot of relevant departments or institutions such as the University Party Committee Teacher Work Department, Academic Affairs Office, Personnel Division, Teacher Development Center and so on. However, a lot of adaptation problems still exposed gradually after the entry of new full-time teachers. This paper takes Longyan University as an example to make some basic analysis and put forward relevant suggestions.

This study delves into the strengths, weaknesses, opportunities, and threats of aerobics through SWOT analysis. Aerobics offers a comprehensive workout, enhancing students’ physical fitness and promoting overall well-being. Nevertheless, challenges include a lack of awareness among students and potential issues such as insufficient sports skills. Opportunities arise in college physical education courses, serving as an excellent platform for fostering students’ holistic development. However, aerobics faces threats in teaching, such as time constraints and varying student interests. Addressing the actual teaching scenario, corresponding strategies are proposed. Firstly, there is a need to strengthen the promotion and education of aerobics. Secondly, employing a hierarchical, step-by-step teaching approach can elevate students’ motor skills. Additionally, designing engaging and challenging aerobics courses aligned with the characteristics of college physical education helps ignite students’ enthusiasm. Lastly, teachers should flexibly adjust content and methods to ensure effective calisthenics teaching. Through SWOT analysis and the discussion of teaching strategies, this paper aims to offer valuable insights for the aerobics teaching in college physical education classrooms. The goal is to promote students’ all-round development and enhance the overall quality of physical education.

This study sought an innovative quality management framework for Chinese Prefabricated Buildings (PB) projects. The framework combines TQM, QSP, Reconstruction Engineering, Six Sigma (6Σ), Quality Cost Management, and Quality Diagnosis Theories. A quantitative assessment of a representative sample of Chinese PB projects and advanced statistical analysis using Structural Equation Modeling supported the framework, indicating an excellent model fit (CFI = 0.92, TLI = 0.90, RMSEA = 0.06). The study significantly advances quality management and industrialized building techniques, but it also emphasizes the necessity for ongoing research, innovation, and information exchange to address the changing problems and opportunities in this dynamic area. In addition, this study’s findings and recommendations can help construction stakeholders improve quality performance, reduce construction workload and cost, minimize defects, boost customer satisfaction, boost productivity and efficiency in PB projects, and boost the Chinese construction industry’s growth and competitiveness.