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Mehrdad Karimimoshaver

Mehrdad Karimimoshaver

Academic rank: Professor
ORCID:
Education: PhD.
ScopusId: 56974419000
HIndex:
Faculty: Faculty of Art and Architecture
Address: http://basu.ac.ir/en/~mkmoshaver
Phone: 09126059138

Research

Title
The effect of physical and spatial characteristics of learning on environment on Sociability
Type
Presentation
Keywords
educational environment, sociability, social interactions, physical environment, post operation evaluation (P.O.E.)
Year
2022
Researchers Mehrdad Karimimoshaver ،

Abstract

Educational environment is the second community after family to which people enter at different levels from school to university. This community is different from the family from various aspects. Educational environments can be considered as a bridge that connects people to a larger community by providing them with education and new skills. Due to their nature and for meeting their needs, humans develop social relationships and interactions with others. So regarding the people’s age at the time of attending educational environments and its important role in forming their character and future, acquiring the skill of developing social relationships is paid much attention. With regard to the mutual relationship between human and the environment, and regarding the fact that the physical environment plays the important role of a platform forming the interactions between people in educational environments; it seems that after quantitative development, qualitative development should be paid attention in higher education. One of the important components of physical quality is the education environment. Furthermore, transformation in different areas such as teaching style or technology can be effective on the educational environment; so, they should be revaluated. In this research, we have tried to propose a practical solution for post operation evaluation of materials from the aspect of sociability of the environment. For this purpose, UCL depth map software and field methods were used for extracting and quantifying the data, and recognizing the actual and potential capacities of the environment. Then based on data analysis by SPSS and the relevant charts, simple and low-cost solutions are suggested to increase the quality and efficiency of the environment and employing its unused capacities.