The Factors of Digital Leadership Affected Administrative Effectivenessof Online Art Education at Educational Institution inBeijing
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Abstract
With the rapid development of digital technology and Internet applications, the scale of online education has also expanded, and art education is also showing such a trend. Clearly, more research is needed to improve the effectiveness of online learning. This is likely to provide educators and policymakers with ideas for designing future innovations in arts education. For this reason, this study aims to examine in detail how digital leadership factors affect the effectiveness of online arts education, using online arts education institutions in Beijing as an example.The factors of the study were the components of the digital leadership and administrative effectiveness of online art education in Beijing. and propose Structural Equation Modeling (SEM) of factors affecting administrative effectiveness of online art education in Beijing，and finally investigate the factors influencing for improving the effectiveness of online art education in Beijing.The research method adopts a mixed research method, including qualitative and quantitative research methods. The population were teachers and staffs of educational institution in Beijing. The total number were 1482 persons, and the respondent used for the study were 310 by G*Power software. The key informants for semi-structure interviews were 5 experts. The instruments used foe data collection were data record form; semi structured interview form and five-points rating scale questionnaire. Questionnaires have been received at the response rate of 100%. The statistic used for analyzing the data were descriptive statistics, CFA (Confirmatory Factor Analysis and SEM (Structural Equation Model). The results of this research were found that there were 5 factors affecting the effectiveness of digital leadership in online art education in Beijing. The most important were Digital Technology Literacy, The Structural Equation Modeling (SEM) of factors affecting the effectiveness of digital leadership in online art education in Beijing was fit with the empirical data by the value of Relative Chi-square = 216.091, Relative Chi-square = 0.965, GFI = 0.941, AGFI = 0.928, TLI = 1.003, RMR = 0.068, and RMSEA = 0.000. These indices suggest that the model fits the data well, supporting the specified relationships. According to the results of the research analysis, the conclusion is that only one factor, digital technology literacy, has a statistically significant direct impact on the effectiveness of digital leadership in online arts education in Beijing.
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References
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