Exploring the Potentials of Artificial Intelligence Image Generators for Educating the History of Architecture

The rapid integration of Artificial Intelligence (AI) tools, specifically text-to-image generators, across various domains has had a profound impact on numerous fields. Despite this, the potential applications of AI image generators in architectural education, particularly in teaching the history of...

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Main Authors: Mohamed W. Fareed, Ali Bou Nassif, Eslam Nofal
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Heritage
Subjects:
Online Access:https://www.mdpi.com/2571-9408/7/3/81
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author Mohamed W. Fareed
Ali Bou Nassif
Eslam Nofal
author_facet Mohamed W. Fareed
Ali Bou Nassif
Eslam Nofal
author_sort Mohamed W. Fareed
collection DOAJ
description The rapid integration of Artificial Intelligence (AI) tools, specifically text-to-image generators, across various domains has had a profound impact on numerous fields. Despite this, the potential applications of AI image generators in architectural education, particularly in teaching the history of architecture, remain underexplored. This research aims to uncover the possibilities of utilizing AI image generators, with a specific focus on the capabilities of Leonardo AI, to enhance communication and engagement. This study employed an experimental methodology to investigate how the integration of AI image generators in education on the subject of “History of Architecture” promises to elevate the learning experience, offering new perspectives, visualizations, and interactive tools. Two workshops were conducted with university students to explore AI image generators’ potential applications in architectural history education. The first workshop utilized an iterative approach, while the second aimed to assess students’ analytical skills. The ultimate objective was to determine the capabilities of this tool and stimulate discussions regarding its potential future implementations. Following the workshops, online questionnaires were administered to students, and interviews were conducted with educators. The findings of this research underscore the need for validating AI-generated images, establishing guidelines to prevent misuse, and designing tailored AI tools for History of Architecture courses, thereby paving the way for further advancements in architectural history education.
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spelling doaj.art-2f7fbcc1de0e4e9b96f00110f502224d2024-03-27T13:44:05ZengMDPI AGHeritage2571-94082024-03-01731727175310.3390/heritage7030081Exploring the Potentials of Artificial Intelligence Image Generators for Educating the History of ArchitectureMohamed W. Fareed0Ali Bou Nassif1Eslam Nofal2Department of Architectural Engineering, University of Sharjah, Sharjah 27272, United Arab EmiratesDepartment of Computer Engineering, University of Sharjah, Sharjah 27272, United Arab EmiratesDepartment of Architectural Engineering, University of Sharjah, Sharjah 27272, United Arab EmiratesThe rapid integration of Artificial Intelligence (AI) tools, specifically text-to-image generators, across various domains has had a profound impact on numerous fields. Despite this, the potential applications of AI image generators in architectural education, particularly in teaching the history of architecture, remain underexplored. This research aims to uncover the possibilities of utilizing AI image generators, with a specific focus on the capabilities of Leonardo AI, to enhance communication and engagement. This study employed an experimental methodology to investigate how the integration of AI image generators in education on the subject of “History of Architecture” promises to elevate the learning experience, offering new perspectives, visualizations, and interactive tools. Two workshops were conducted with university students to explore AI image generators’ potential applications in architectural history education. The first workshop utilized an iterative approach, while the second aimed to assess students’ analytical skills. The ultimate objective was to determine the capabilities of this tool and stimulate discussions regarding its potential future implementations. Following the workshops, online questionnaires were administered to students, and interviews were conducted with educators. The findings of this research underscore the need for validating AI-generated images, establishing guidelines to prevent misuse, and designing tailored AI tools for History of Architecture courses, thereby paving the way for further advancements in architectural history education.https://www.mdpi.com/2571-9408/7/3/81AI image generationartificial intelligencearchitectural educationhistory of architectureLeonardo AI
spellingShingle Mohamed W. Fareed
Ali Bou Nassif
Eslam Nofal
Exploring the Potentials of Artificial Intelligence Image Generators for Educating the History of Architecture
Heritage
AI image generation
artificial intelligence
architectural education
history of architecture
Leonardo AI
title Exploring the Potentials of Artificial Intelligence Image Generators for Educating the History of Architecture
title_full Exploring the Potentials of Artificial Intelligence Image Generators for Educating the History of Architecture
title_fullStr Exploring the Potentials of Artificial Intelligence Image Generators for Educating the History of Architecture
title_full_unstemmed Exploring the Potentials of Artificial Intelligence Image Generators for Educating the History of Architecture
title_short Exploring the Potentials of Artificial Intelligence Image Generators for Educating the History of Architecture
title_sort exploring the potentials of artificial intelligence image generators for educating the history of architecture
topic AI image generation
artificial intelligence
architectural education
history of architecture
Leonardo AI
url https://www.mdpi.com/2571-9408/7/3/81
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