Distributed leadership has been shown to improve teacher job satisfaction and reduce teacher job stress. However, few studies have thoroughly explored the indirect effects of distributed leadership on increasing the teachers’ burden in school administration and management, thereby increasing work stress, and decreasing job satisfaction. Data from the Teaching and Learning International Survey were analyzed to investigate the relationships among distributed school leadership, teachers’ job stress, and job satisfaction. A total of 3976 teachers from 198 junior high schools in Shanghai, 2560 teachers from 166 junior high schools in the United States, 2376 teachers from 157 junior high schools in England, and 3573 teachers from 238 junior high schools in Australia were selected and examined using structural equation modeling. The results revealed that distributed school leadership directly predicted teachers’ job satisfaction; teachers’ job stress had an independent mediating effect on distributed leadership and teachers’ job satisfaction, whereas teachers’ time spent participating in school leadership had no mediating effect. We discuss the benefits of distributed school leadership on teachers’ job satisfaction and the possible mechanisms for promoting it in practice.

The paper is based on cooperative game theory and cloud model theory to evaluate the health status of the electrical system of the scraper conveyor in the underground fully mechanized mining face. Firstly, establish a hierarchical analysis model for the electrical system of the scraper conveyor, and use a cooperative game method that combines Analytic Hierarchy Process, Entropy Weight Method, and Grey Correlation Degree Method to calculate the composite weights of each indicator. Then, the membership formula is combined with cloud model parameters to obtain the membership values of each indicator corresponding to each state level, and the maximum membership method is used to obtain the final evaluation result. The research results indicate that the proposed health status assessment method can intuitively obtain the health status information of various indicators in the electrical system of the scraper conveyor, and effectively complete its health status assessment.

Academic Ability Development for Academic Master’s Students: Predicaments and Pathways

This study developed and validated the Human–Computer Collaborative Classroom Second Language Learning Engagement Scale among 710 junior high school students studying in Mongolian. Initially, the scale’s conceptual framework was developed through a review of pertinent literature and interview, drawing on self-determination theory and socio-constructivist perspectives to define engagement in human–computer collaborative second language learning contexts. The study adopted a sequential mixed-methods design: in Phase 1, item analysis and exploratory factor analysis (EFA) were conducted using data from 437 students, resulting in a preliminary five-factor structure; in Phase 2, confirmatory factor analysis (CFA) was performed using data from the remaining 273 students to validate the factor structure. The final scale comprises five core dimensions: (1) higher-order thinking, (2) student–teacher interaction, (3) human–computer interaction, (4) active collaborative learning, and (5) learning enthusiasm. Structural equation modeling confirmed a robust five-factor model, with all fit indices indicating satisfactory model fit (e.g., CFI = 0.981, TLI = 0.977, RMSEA = 0.041). The scale demonstrates strong internal consistency (Cronbach’s α = 0.959) and construct validity. These findings highlight the reliability and efficacy of this psychometric tool for evaluating students’ engagement in second language learning within human–computer collaborative classroom environments, offering valuable insights for educators and researchers.