Determination of digital maturity levels of high schools: A research on high schools in Sakarya province

The main purpose of this study is to measure the digital maturity levels of high schools in Sakarya province, investigate the factors affecting digital maturity levels, provide feedback for possible improvements based on schools' digital maturity levels, offer recommendations for increasing the efficiency of technology in education, and provide various suggestions for the literature. The population of the study consists of 135 high schools in Sakarya province. A total of 104 high schools were selected as the sample using simple random sampling. Following the steps that need to be followed according to the circular of the Ministry of National Education (MEB), necessary permissions were obtained from the Sakarya Provincial Directorate of National Education before starting the study. The schools participating in the study were asked a total of 38 questions based on a framework consisting of 5 main areas and a total of 38 indicators, according to the 5-point Likert scale, as in the original study, based on the Framework for Digital Maturity of Schools (FDMS) model. Due to the scattered distribution of schools in the sample and the intensity of school administrators, data were collected using an online survey technique. Before the survey, the terms and conceptual framework that needed to be known were provided to the administrator who would fill out the survey. The data collected from 104 schools were analyzed using SPSS 26.0 program for "Normality Test," "Cronbach's Alpha Analysis," "Kaiser-Meyer-Olkin(KMO) Test," "Barlett Test," "Exploratory Factor Analysis(EFA)," "Levene Test," "ANOVA," and "T Test." Then, using Microsoft Excel and the programming language JavaScript, the digital maturity levels of schools were calculated according to the formula in the FDMS model. According to the results of the study, it was found that the digital maturity levels of schools did not create a significant difference based on the number of students and staff, while the digital maturity levels of schools created a significant difference based on the type of school and district.