Educational Technology
M. Rashki; M. Arabanani
Abstract
Background and Objectives: Teaching-learning is essential for the development of creativity and sustainability of the needs of modern cities, and the intelligent learning environment has been created to respond to the needs of the new knowledge society in smart city design. Community quality is a challenge ...
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Background and Objectives: Teaching-learning is essential for the development of creativity and sustainability of the needs of modern cities, and the intelligent learning environment has been created to respond to the needs of the new knowledge society in smart city design. Community quality is a challenge for smart city development; Because in the social field, the quality of society with a professional approach is not used comprehensively and systematically. The quality of society is based on the quality of organizations, universities, educational institutions and collaborative learning.The purpose of this study was to identify and rank factors affecting smart city design with educational approach. Methods: In this research, a researcher-made questionnaire was used to collect data. The statistical population of the study included all high school teachers and educators in Zahedan city. In the first step, by studying valid scientific and citation sources, while sufficiently familiar with the concepts and definitions of smart city, development of smart city and the factors affecting it, a preliminary list of factors affecting the smart city was identified with an educational approach. In this study, the indicators in terms of structure and practical procedures in smart city learning were identified and accordingly the research questionnaire was designed and compiled and provided to the tutor and consultant who was used to collect data after the corrections and then with Using Cronbach's alpha method, the reliability of the questionnaires was calculated. Simple random sampling method was used. SPSS 21 software was used to analyze the data. Cronbach's alpha coefficient of the questionnaire was found to be 0.84. Data analysis was done by logistic regressions method. Findings: The education industry changes and enhances urban services, and this value-added and driving force industry can be identified as an advanced industry in the smart city. The results showed that intelligent governance (9.526), intelligent interaction and integration (8.926), intelligent people (8.875), infrastructure (8.872), human resources (7.757), technology acceptance (7.567), the smart economy (7.236) and the medium of electronic interaction based on multimedia content (5.765), respectively, have the most importance in the establishment of smart city. Conclusion: In order to build a smart city education system, the process of encouraging citizen participation and creating different communication channels is critical. The "smart city" label is not limited to cities that simply adopt high technology. The ultimate goal of the smart city development include: improving the quality of life of individuals, families and local people through advanced information and communication technology and education systems through the creation of a communication channel between citizens can create systems that enhance smart integration. The learning structure in the process of developing smart skills in smart schools needs to be rebuilt. The essence of the smart city is the promotion of social cooperation, social networking and social participation, and it transforms community members into using smart learning as a tool to better comply with social behavioral norms. Collaboration and development of information technology removes barriers to the sharing of information and knowledge, as well as the learning frontier in smart schools, and creates three changes. The first is to change teaching methods; The second is the reconstruction of the knowledge system and the third is the influence on the formation of a new generation of learning methods among students.
