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This study introduces diagrammatic morphology as a novel method for analysing the synergistic interactions within school mapping. It seeks to reshape the evaluation of school mapping typologies, focusing on the interconnectedness of learning activities, social interactions, and spatial configurations. Aims: (1) To develop the morphological evaluation procedures for school mapping. (2) To evaluate the Iranian Middle Schools' Interior Architecture (IMSIA) using the diagrammatic morphological method.

This qualitative study has been conducted in two steps: A review of the morphological method for school mapping evaluation. A case study analysis of fifty-five IMSIA samples.

The spatial typology of IMSIA were categorized into four distinct models. These models included ten distinct pattern categories within twenty-one different types. The case study evaluation identified three levels of synergistic complexity within the school mapping: primary, intermediate, and advanced. The advanced level displayed the strongest connection to pedagogies among the analysed models.

This research innovatively evaluates the synergistic context of schools based on the assemblage theory through an occupational analysis of the Iranian middle schools' interior architecture mapping diagrammatic morphological method.

This qualitative case study explores the challenges that architecture students encounter in grasping the concept of fair PA. The study also delves into the students' viewpoints on this matter and the strategies they utilize to navigate it.

Around 29 architecture students took part in the PA process. Data was gathered by observing PA sessions and conducting interviews with students. The data was then analyzed using the thematic method.

The study uncovers fairness challenges from the perspective of architecture students, such as concerns regarding collusion, power dynamics within friend groups, limitations of participatory culture, and overwhelming responsibility. The study suggests that a multistage PA process can be an effective approach to addressing fairness challenges. Furthermore, it sheds light on the obstacles that architecture students face in comprehending fairness and their viewpoints and tactics regarding fairness during PA.

The findings indicate that increasing students' engagement in learning activities during the critique and assessment process in the DS can enhance their understanding of fairness in PA and boost their satisfaction with final course grades.

This study investigates the relationship between architecture students' engagement and assessment fairness, by focusing on the role of perceived fair PA within design studio settings.

Nowadays, designing environmentally compatible buildings with acceptable performance in terms of cost, materials, and energy efficiency is considered crucial for developing sustainable cities. This research aims to identify and rank the most influential factors in the application of Building Information Modeling (BIM) systems in the smartification of green and sustainable buildings.

The present research is applied and descriptive. In this study, we identified the most influential factors in the application of Building Information Modeling (BIM) systems through library studies and expert opinions. Data were collected using a questionnaire, and a combination of the one-sample t-test method with a 95% confidence level and the fuzzy VIKOR method was employed for analysis.

The results show that the most influential factors in the application of Building Information Modeling (BIM) systems in the Smartification of green and sustainable buildings, in order, are: “Energy saving and consumption reduction,” “Increased productivity and efficiency,” “Life-cycle assessment (LCA),” “Eco-friendly design,” “Integration with IoT and other technologies.”

In this study, while addressing the intersection of BIM technology, green building principles, and smart building objectives to optimize the performance of buildings during their life cycle, the most influential factors in the use of this system were ranked based on the criteria of “impact level,” “importance level,” and “availability of necessary tools” for implementation in Kerman. Moreover, solutions for more effectively utilizing this system in the smartification of green and intelligent buildings were proposed.

This paper aims to investigate the optimization of window and shading designs to reduce the building energy consumption of a standard office room while improving occupants' comfort in Tehran and Auckland.

The NSGA-II algorithm, as a multi-objective optimization method, is applied in this study. First, a comparison of the effects of each variable on all objectives in both cities is conducted. Afterwards, the optimal solutions and the most undesirable scenarios for each city are presented for architects and decision-makers to select or avoid.

The results indicate that, in both cities, the number of slats and their distance from the wall are the most influential variables for shading configurations. Additionally, occupants' thermal comfort in Auckland is much better than in Tehran, while the latter city can receive more daylight. Furthermore, the annual energy use in Tehran can be significantly reduced by using a proper shading device and window-to-wall ratio (WWR), while building energy consumption, especially heating, is negligible in Auckland.

To the best of the authors' knowledge, this is the first study that compares the differences in window and shading design between two cities, Tehran and Auckland, with similar latitudes but located in different hemispheres. The outcomes of this study can benefit two groups: firstly, architects and decision-makers can choose an appropriate WWR and shading to enhance building energy efficiency and occupants' comfort. Secondly, researchers who want to study window and shading systems can implement this approach for different climates.