Identifying the dimensions, components and indicators of citizenship education in the management of future smart cities using the factor analysis method (F.A)

The purpose of this research is to identify the dimensions, components and indicators of the citizenship education system in the management of future smart cities in Tehran Municipality.

The method of this research is applied and exploratory. The method of data collection is a mixed method (qualitative and quantitative) and the tools of data collection are interviews with experts using the Delphi method and questionnaires. Then, through the implementation of the questionnaire, the data analysis in the qualitative part using the theory of data and among the existing approaches of the systematic type of Estras and Corbin has been used. In the quantitative part, the collected data were analyzed in two descriptive and inferential ways through SPSS and Smart PLS software.

The results showed the components: altruism, work conscience, chivalry, socio-political behavior, behavior based on religious and national teachings, environment and sustainable development and finally smart governance with their indicators, dimensions, components and indicators of citizenship education in the management of future smart cities was accepted in Tehran Municipality.

From the summary of the factors, dimensions and components of the citizenship education system model in the management of future cities in Tehran municipality, 5 factors were proposed with high priority. These factors are: first priority: politeness and consideration component (factor load 0.955); Second priority: the spirit of participation component (factor load 0.951); Third priority: legalism component (factor load 0.934); the fourth priority: the civil behavior component (0.907 coefficient) and the fifth priority.