Designing a Intelligent Building model of Physical Education Conservatories With a sustainable and learning school approach

The aim of this research was designing an Intelligent Building model of Physical Education Conservatories with a sustainable and learning school approach. The research method selected a qualitative type with a systematic heuristic approach. The statistical population consisted of two sections of human resources (professors, teadhers, managers, etc.) and information resources (books, articles, documents, media, etc.). The sampling was done in a sufficient number and with a judgmental method based on theoretical saturation (n = 18). Research tools included systematic library study and structured exploratory interviews. The validity of the instrument was evaluated and validated based on exemplary legal and scientific validity, expert opinion, and agreement between the examiners. To analyze the findings was used multi-stage conceptual coding with system analysis approach. Based on the results of 79 components screened at four levels, 10 perspectives and 23 dimensions were framed and coded. The conceptual model structure consisted of successive levels: capacity building (student-centered ecosystem), intelligence (smart school), learning (learning school), and sustainability (sustainable school). Capacity building includes two perspectives on propulsion and institutional requirements, support and ecosystem resources. Intelligence includes three perspectives on technology-based management, ICT infrastructure, and access to environmental networks. Levels of learning also included three perspectives on educational system capability, member technology literacy, and learning-learning environment. Finally, the level of sustainability includes two perspectives on environmental functions and organizational maturity in vocational schools. School intelligence is a systematic, multidimensional process that integrates educational, managerial, technological, and behavioral elements into a new, integrated learning system to achieve sustainability. The proposed model can be used in the analysis and planning of the implementation of intelligent modeling for physical education vocational schools.