This article aims to explore the training model of preschool physical education teachers based on the theory of "space, capital, and habits". Preschool physical education plays an important role in the development of children's physical fitness and cognitive abilities. This article first introduces the theory of "space, capital, and habits", including its definition and core concepts, as well as its application value in teacher training. Subsequently, a training model for preschool physical education teachers based on this theory was proposed, which includes three elements: space, capital, and habits. In terms of space, it is emphasized to create an environment and place conducive to the professional development of preschool physical education teachers, such as the construction of training institutions and internship bases, and the support of teaching environment and resources. In terms of capital, emphasis is placed on cultivating the professional knowledge and abilities of preschool physical education teachers, including curriculum design and teaching methods, teacher team construction, and professional development mechanisms. In terms of habits, emphasis is placed on cultivating the professional literacy and educational attitude of preschool physical education teachers, including practical links and social participation, evaluation and feedback mechanisms. This training model aims to improve the quality and effectiveness of preschool physical education teacher training, and provide theoretical guidance and practical suggestions for preschool physical education teacher training.

With the continuous development of educational information technology, college English teaching is gradually transitioning to digital and informational. This article discusses and researches the application of educational information technology, the impact of educational information technology on student learning outcomes, changes and reasons in learning methods, and the construction of college English teaching staff under educational information technology. It is believed that conducting effective research on college English teaching under educational information technology will not only help improve the level of college English teaching, but also promote the development of educational informationization.

With the in-depth development and widespread application of educational informatization, digital education has also become one of the important features of educational modernization. Designing and completing a visual teaching system based on Web technology is of great significance for promoting further reform and development of teaching, especially for achieving remote education, which has great application value. Based on visual teaching needs analysis and B/S architecture, effective system development is achieved through Access database. According to the specific needs of teaching functions, the system can be divided into multiple modules, and the management and login of teaching resources for users can also be smoothly achieved. This has important research value for achieving the goal of remote visualization of teaching.

To gain a deep understanding of maintenance and repair planning, investigate the weak points of the distribution network, and discover unusual events, it is necessary to trace the shutdowns that occurred in the network. Many incidents happened due to the failure of thermal equipment in schools. On the other hand, the most important task of electricity distribution companies is to provide reliable and stable electricity, which minimal blackouts and standard voltage should accompany. This research uses seasonal time series and artificial neural network approaches to provide models to predict the failure rate of one of the equipment used in two areas covered by the greater Tehran electricity distribution company. These data were extracted weekly from April 2019 to March 2021 from the ENOX incident registration software. For this purpose, after pre-processing the data, the appropriate final model was presented with the help of Minitab and MATLAB software. Also, average air temperature, rainfall, and wind speed were selected as input variables for the neural network. The mean square error has been used to evaluate the proposed models’ error rate. The results show that the time series models performed better than the multi-layer perceptron neural network in predicting the failure rate of the target equipment and can be used to predict future periods.

National governments and academic higher education institutions continue to realign human resource development (HRD) strategies to address the gaps in HRD mandate. This study will investigate new and recalibrated skills that higher institutions (HEIs) professionals and the labor force produce to reconfigure curriculum development in tertiary education. The study extracts narrative from 6 curriculum developers, 3 HRD heads and h3 manpower organizations on the labor landscapes from different local and multinational industries from entry-level to mid-career ranges through case scenario-based interviews and focus group discussions to determine the skills around motivation, innovativeness, and adaptability and subsequently integrate strategic initiatives to reconfigure the compatibility of these skills from higher education institutions to post-pandemic industries. The findings reveal skills that can be managed at the individual level, e.g., self-motivation and adaptability as well as the need to emerge from the technological pressures by adapting to organizational and clientele demands. These human resource traits become the mantra of surviving and progressing in a landscape shaped by the pre- and post-pandemic setting and become the basis of HEI programs to match the needs of the labor force and the industries.

Mathematics education is a comprehensive scientific system that holds significant importance in studying the seamless integration between university mathematics education and secondary mathematics education. This research paper delves into the challenges encountered during the transition from high school to university mathematics and offers analytical strategies and recommendations for both teachers and students. The objective is to enhance the continuity and coherence of mathematics education. Furthermore, tailored recommendations are provided to bridge the gap between high school and university mathematics education, taking into consideration the unique characteristics of students from different provinces and cities.