In the age of the Internet, basic education faces several new challenges: the lack of deep integration of artificial intelligence (AI), and the relatively poor quality of online teaching. To cope with these challenges, this paper designs an evaluation method for online teaching quality of basic education in the context of the AI. Firstly, the application of the AI in basic education was analyzed, and the promoting effect of online teaching on basic education was confirmed. On this basis, the entropy weight method and grey clustering analysis were introduced to evaluate the online teaching quality of basic ed-ucation. Based on the proposed model, several strategies were proposed to improve the quality of online teaching in basic education. The research re-sults provide a good reference for the application of online teaching and AI in basic education.

Employee turnover caused by over-qualification has become a new problem in organizational management. The mechanism underpinning the boundaries between perceived over-qualification and employee turnover, however, remains unclear. To address this gap, the current study employed multi-factor ANOVA, hierarchical regression analysis and the bootstrap method to analyze the relationship between perceived over-qualification and employee turnover intention based on the survey data of 396 respondents in China. Overall, the results revealed that perceived over-qualification was positively correlated with turnover intention. It was also found that self-efficacy had a mediating effect on the relationship between perceived over-qualification and turnover intention. Further, professional identity had a moderating effect on the relationship between perceived over-qualification and turnover intention. Our findings expand the boundary of influence around perceived over-qualification and provide theoretical support for employee management.

It is an important reflection of modern education and an overwhelming way to strengthen the quality of teaching. In the current environment, the traditional multimedia classroom management model can no longer adapt to the current rapidly developing network environment. How to manage more and more campus multimedia classrooms is an urgent problem to be solved. The informatization construction and application of multimedia classrooms is the key to the realization of educational informatization. The traditional multimedia classroom management model has not been able to adapt to the rapidly developing network environment, which is mainly manifested in the following aspects: electronic education management personnel cannot discover and process teaching in a timely manner. Equipment failure has not formed a set of standard troubleshooting procedures and cannot accurately record the status, use time, and maintenance records of various teaching pieces of equipment. This will not only affect the teaching quality of colleges and universities but also slow down the process of education informatization. This paper develops a web-based multimedia teaching equipment management system based on artificial intelligence and jQuery, which realizes the centralized control and management of various multimedia teaching equipment. According to the actual needs of multimedia teaching, this paper follows the design and development of software engineering, using artificial intelligence, jQuery, Ajax, and Spring MVC technology to design and develop a web-based multimedia teaching equipment management system. On the basis of realizing the centralized control and management of multiple multimedia teaching equipment, it can also track and record the use status and maintenance content of the multimedia teaching equipment to form an information knowledge base of the multimedia equipment, which is convenient for later maintenance and management. Through the use of this system, management can be systematized, standardized, and automated, reducing the tedious workload of management and maintenance personnel. It can speed up the information management process of multimedia teaching equipment and improve the work efficiency of related managers. A course can be studied online, and an online teaching system has been developed. According to our survey on Mandarin online course training in Northwest China (N = 343), we found that 81.6% of samples are satisfied with the Mandarin online training courses; 21.6% think that they have learned new teaching methods/teaching concepts from the teacher through the Mandarin training; 36.2% think that they have learned the theoretical knowledge of Mandarin through the Mandarin training. Gender, age, ethnicity, and learning experience are related to the difficulty of learning Mandarin online courses. Therefore, we can satisfy learners of different ages, learning foundations, and cultural backgrounds by designing different online course patterns, so as to enhance the high-quality promotion of Mandarin.

With the continuous development of school teaching quality, the measurement of the current teaching ability level has become a concern of people. This research mainly discusses the comprehensive evaluation of the teaching ability level based on the network communication environment. This study uses fuzzy comprehensive evaluation method to comprehensively evaluate the system. First, obtain the representative evaluation standards of education informatization and a series of indicators related to informatization teaching at home and abroad; secondly, conduct a comprehensive analysis of the various evaluation standards and related indicators of informatization teaching that have been obtained; finally, the process in each indicator is discussed and revised by experts and relevant information technology teachers, and a number of schools are selected to conduct small-scale experimental evaluation experiments to form information-based teaching evaluation indicators. In this study, the proportion method is used to calculate the membership degree of each observation index based on the recovered data and establish the fuzzy relationship matrix of each evaluation factor. Paying attention to the level of index weights can guide the development direction of informatization teaching and promote the healthy development of informatization teaching. Therefore, this article uses the expert scoring method combined with the analytic hierarchy process to determine the weights in the evaluation index system. There is a significant difference between teachers in urban areas and teachers in rural areas ( p < 0.05 ). The ratio of each grade of the teacher’s informatization teaching ability comment collection is “bad 0.5%,” “relatively poor 5.7%,” “normal 35.3%,” “good 53.1%,” and “excellent 5.3%.” This research will help promote the improvement of school teaching quality.

Based on the Personality-Job Fit Theory (PJFT), the mismatch of personality-job may cause over-qualification, and perceived over-qualification (POQ) may have a negative impact and affect career satisfaction (CS). This study conducted a questionnaire survey of 404 elementary school teachers in Fujian Province, China, and used the Two-way ANOVA and hierarchical multiple regression analysis to research primary school teachers’ POQ and the relationship between POQ and CS. The results of empirical research show that primary school teachers’ POQ is at the medium level. POQ of primary school teachers has a negative effect on CS, while professional self-identity (PSI) has the mediating effect on the relationship between POQ and CS. In addition, the study also found that new primary school teachers with high educational qualification have a relatively higher POQ, while older primary school teachers with low educational qualification have a relatively lower POQ.