Designing Smart School Patterns Based on the Constructivist Approach

Subject Areas :

mohammad rezaei ¹ (Department of Educational Management, Kish International Unit, Islamic Azad University, Kish Island, Iran)
amine ahmadi ² (Associate Professor, Department of Educational Sciences, South Tehran Branch, Islamic Azad University, Tehran, Iran)
Mehdi Bagheri ³ (Associate Professor, Department of Public Administration, Bandar Abbas Branch, Islamic Azad University, Bandar Abbas, Iran)

Received: 2020-03-02 Accepted : 2020-04-27 Published : 2020-05-21

Keywords: Education, smart schools, Constructivism,

Abstract :

This study aimed to design a smart school model based on the constructivist approach. The purpose of this study is practical and in terms of data collection is a mixed (qualitative and quantitative) research. Statistical population in the qualitative section included academic experts and experts in the field of smart schools and in the quantitative section all teachers and principals of smart schools in 1397. Sample size was estimated in theoretical saturation (30) in qualitative section and 357 in quantitative section. Purposeful sampling and stratified random sampling were used for quantitative sampling. Data were collected through qualitative interviews and quantitative researcher-made questionnaires based on 5-point scale. For data analysis, Cronbach's alpha, AVE, AVE matrix, Kolmogorov Smirnov test, confirmatory factor analysis were used. The results resulted in the identification of 5 components and 44 indicators, including 5 influential components including curriculum (hidden and explicit), school environment, teacher (individual factors and professional competencies), school principal and teaching staff (knowledge, skills, and training). Attitude) affect. Other results showed that the priority of the identified components were: curriculum (hidden and explicit) (0.57), school environment (0.55), teacher (individual factors and professional competencies) (0.44), school administrator and educational staff (0.33) and education (knowledge, skills and attitudes) (0.12). Also, its degree of fitness was confirmed by experts with 95% confidence.