نوع مقاله : مقاله پژوهشی
موضوعات
عنوان مقاله English
نویسندگان English
Introduction
Education is one of the areas of interest in smart cities, and in this context, smart education is a term that refers to the education provided by smart cities. Smart education, made possible thanks to the Internet of Things (IoT) and artificial intelligence (AI), is a huge step forward in the ever-changing field of education. It will completely change the way citizens learn in this digital age. Smart education is a piece of technology that can change the way we learn, a completely new way of teaching. Considering the importance of making smart cities today and the role of educational components in the realisation of this type of city, the aim of the research is to measure the formation of the smart city of Ardabil based on the educational city in Ardabil city. Ardabil city is the largest city of Ardabil province, which, according to the census data of the Iranian Statistics Center in 1400, had a population of 590,286 people, and during the 60-year period (1400-1340), it witnessed an 8-fold increase in its population. Considering its role in the hierarchy of cities, this city needs planning in different dimensions, especially the smartening of the city, in order to improve the quality of life, achieve sustainable development, and prevent the problems of people’s lives from becoming more complicated, as well as prevent the migration of residents of small and medium cities. On the other hand, it is necessary to develop the knowledge capacity and acceptance of smart city indicators by the citizens by emphasizing the educational and social learning indicators in the city environment from the managers and officials. The main question of the research is, which factor had a greater impact on the adoption of the smart educational city of Ardabil than the other factors?
Materials and Methods
The present research uses a quantitative research approach that is descriptive and analytical. The sampling method is a snowball, targeted and systematic. Data collection was done in document form and by questioning 35 experts in the field of urban planning and architecture. It was done in a systematic way. It should be noted that in expert-oriented research, there is no limit to the selection of the sample size, and basically between 8-50 people are selected; the questions were measured based on a five-point Likert scale, which was compiled according to the contents of the theoretical foundations. Data analysis was done using the structural equation-partial least square method using SPSS and SMARTPLS software because the use of structural-partial least square is the best method for research with variables less than 50 items and in this research as an index. If the number is less than 50, this method of structural equations was used. Therefore, this study used descriptive-analytical and inferential analyses to analyse the research data.
Findings
Based on the results of the research, among the variables affecting the smart city of Ardabil, the factor of educational facilities with factor load (0.812) had the most effect. After that, the factor of citizen education with a factor of (0.803), the factor of urban environment with a factor of (0.795), the factor of smart life in a smart city with a factor of (0.786), intelligent environment with a factor of ( 0.779), smart mobility with factor (0.718), smart government with factor (0.681), smart people with factor (0.617), smart economy with factor (0.573) were effective. The results of Table (3) and Figure (3) show the effects of independent variables on dependent variables using a two-sample t-test with a significance level of 5% (0.05). As can be seen, all t-values are higher than 1.96. In addition, the results from Table 5 also show the R2 values, which are the ranking of the path coefficients of the different independent research variables, in which the educational facilities in the smart city of Ardabil have the strongest effect of 0.709 (0.595). And after that, the education of citizens in the educational city of Ardabil with 0.701 (0.512), then the urban environment of the educational city of Ardabil with 0.682 (0.499), intelligent people in relation with smart city with 0.659 (0.433), smart mobility in Ardabil smart city 0.439 (193), smart life in Ardabil 0.346 (0.119), that is, smart government in Ardabil city with 0.273 ( 0.075), smart environment in Ardabil with 0.240 (0.058), and finally smart economy with 0.189 (0.036). Therefore, the assumed path relationship (Hypothesis 1 - Hypothesis 9) is statistically significant. Because the R2 value is greater than 0.1 and the p-value is less than 0.05. This study identifies the dimensions of the smart city of education and develops the model of acceptance of the smart city of education to evaluate the smart city plan of the city of education of Ardabil.
Conclusion
According to the investigations, it can be said that in terms of smartness, Ardabil city is not in a favourable situation, and in this regard, in order to realise the smart city of Ardabil, priority should be given to planning in the dimensions of smart management, smart environment, smart citizen, smart economy, smart mobility and smart life. It is necessary. Also, in order to realise the indicators of the smart city of Ardabil, the education (teaching city) approach can play a central role.
کلیدواژهها English
