A computational framework for supporting architectural education of spaces' furnishing design

Self-learning is receiving great attention internationally in different fields, along with the best utilization of different computational applications or methods. This paper introduces a novel computational approach for supporting Architectural Design Education (ADE) in its early stages; a computational implementation through MATLAB has been developed to conduct the proposed processes. As a scope, spaces' furnishing design has been selected to demonstrate the proposed computational approach and implementation, while office workspaces have been selected as a representative case. However, the proposed approach provides and enhances ADE through three main concepts: (a) generating design alternatives for different cases of furnishing spaces, (b) providing accurate and flexible evaluations to students'/designers' works with different levels, and (c) tracking students based on their defaults and relevant sensitive modifications. Different applications of the proposed approach have been generated, analyzed, and validated.

Automated summary

This paper introduces a novel computational approach for supporting Architectural Design Education (ADE) in its early stages. It demonstrates the approach through the design of office workspaces, providing design alternatives, accurate evaluations, and student tracking.