ABSTRACT

The study aimed to determine the extent of the implementation of the AI-Based Educational Management Program and the participants’ level of competence in the program. It employed a mixed-method approach, combining quantitative and qualitative research designs. The participants included employees and students from selected universities in China. Data were collected through surveys and were analyzed using statistical tools such as frequency, percentage, mean, standard deviation, F-test, ANOVA, and the Chi-Square Test. The findings revealed that the AI-based educational management program had been significantly implemented in school systems and processes, instructional delivery, teacher support, student support, and big data analytics. The participants generally exhibited a high level of competence in terms of knowledge, skills, and attitudes toward the AI-based educational management program. The study identified several challenges encountered by the participants, including adapting to AI technologies, integrating educational concepts with AI applications, and addressing ethical and privacy concerns. To enhance the AI-based educational management program and improve participants’ competence, the study proposed a plan of action that includes technical training, continuous learning, addressing ethical concerns, integrating AI into curriculum design, improving student support services, fostering inclusive education, and encouraging teacher-student collaboration.

Keywords: Artificial intelligence, competence assessment, educational management, personalized learning, predictive analytics.
https://doi.org/10.57180/wuai7949