A Quality Framework Developed for Artificial Intelligence Integration in Architectural Engineering Education
DOI:
https://doi.org/10.14571/brajets.v19.n1.279-311Palavras-chave:
Artificial intelligence in education, Architectural engineering education, Curriculum integration, Institutional readinessResumo
The rapid diffusion of Artificial Intelligence (AI) in architectural practice poses significant challenges for architectural engineering education, requiring institutions to move beyond fragmented tool adoption toward structured and pedagogically grounded integration. This study examines institutional readiness for AI integration through a case study of an architectural engineering program at Taif University, informed by international curriculum benchmarking and multi-stakeholder perspectives. Using a mixed-methods approach, the research explores student and faculty perceptions of AI, existing patterns of curricular integration, and institutional enablers and constraints shaping adoption. The findings reveal strong recognition of AI’s educational value, particularly in supporting design creativity, performance-based analysis, and professional relevance. However, AI integration remains uneven, constrained by limited curriculum coherence, insufficient faculty capacity, infrastructural gaps, underdeveloped strategic and ethical governance. In response, the study proposes the AI-ArchEDUQUAL framework as a quality-oriented evaluative model for assessing institutional readiness across six interrelated dimensions. The framework provides a structured basis for diagnostic assessment, strategic planning, and future comparative research in AI-enhanced engineering education.
Referências
Adewale, B. A., Ene, V. O., Ogunbayo, B. F., & Aigbavboa, C. O. (2024). A systematic review of the applications of AI in a sustainable building’s lifecycle. Buildings, 14(7), Article 16. https://www.mdpi.com/
Al al-Bayt University. (n.d.). First international conference on universities and artificial intelligence technologies. https://aaru.edu.jo/
Alalouch, C. (2018). A pedagogical approach to integrate parametric thinking in early design studios. Interna-tional Journal of Architectural Research, 12(2), 162–181. https://www.researchgate.net/
Almaz, A. F., et al. (2024). The future role of artificial intelligence (AI) design’s integration into architectural and interior design education to improve efficiency, sustainability, and creativity. https://www.hrpub.org/
Al-Mungdi, A. M., & Al-Sudi, M. S. (2024). Artificial intelligence technologies and their role in developing educa-tion in higher education institutions: An analytical study. Journal of Arabian Peninsula Centre for Educa-tional and Humanity Researches, 2(20), 26–50. https://doi.org/10.56793/pcra2213202
Anber, M. F. A. A. (2024). The impact of AI platforms and tools on architectural education. MJAF. https://doi.org/10.21608/MJAF.2024.259661.3306
Ayala-Pazmiño, M. F. (2023). Artificial intelligence in education: Exploring the potential benefits and risks. Digi-tal Publisher CEIT, 8(3), 892–899. https://www.researchgate.net/
Bentley, C., Aicardi, C., Poveda, S., Cunha, L. M., Marzagao, D. K., Glover, R., Rigley, E., Walker, S., Compton, M., & Acar, O. A. (2023). A framework for responsible AI education: A working paper. SSRN. https://papers.ssrn.com/abstract_id=4544010
Bhurke, A. K. (2023). Artificial intelligence in industrial design: Using AI in your design process (Midjourney, Stable Diffusion). Medium. https://medium.com/@AKBhurke/
Cantemir, E., & Kandemir, Ö. (2024). Use of artificial neural networks in architecture: Determining the architec-tural style of a building with convolutional neural networks. Neural Computing and Applications. https://link.springer.com/
Ceylan, S. (2021). Artificial intelligence in architecture: An educational perspective. In Proceedings of the 13th International Conference on Computer Supported Education (CSEDU). https://www.researchgate.net/
Center for Curriculum Redesign. (2019). Artificial intelligence in education: Promises and implications for teach-ing and learning. https://curriculumredesign.org/
Eastman, C., Teicholz, P., Sacks, R., & Liston, K. (2018). BIM handbook: A guide to building information mod-eling for owners, designers, engineers, contractors, and facility managers. Wiley.
eCAADe. (n.d.). Artificial intelligence aided architectural design. In Proceedings of the eCAADe Conference. https://www.researchgate.net/
El Moussaoui, M., & Krois, K. (2025). Architectural pedagogy in the age of AI: The transformation of a do-main. https://link.springer.com/
Fernández, A., & Rodríguez, M. A. (2023). The integration of artificial intelligence in architectural education: Challenges and opportunities. https://www.researchgate.net/
Gates, W. F. (2023). Incorporating generative artificial intelligence into an architectural pedagogy of teaching for creativity. https://repository.library.northeastern.edu/
Huang, L. (2023). Ethics of artificial intelligence in education: Student privacy and data protection. Science In-sights Education Frontiers, 16(2), 2577–2587. https://www.researchgate.net/
Izmir University of Economics, Department of Architecture. (n.d.). ARCH 362: Architectural intelligence – Course introduction and application information. https://ieu.edu.tr/
Jin, S., Tu, H., Li, J., Fang, Y., Qu, Z., Xu, F., Liu, K., & Lin, Y. (2024). Enhancing architectural education through artificial intelligence: A case study of an AI-assisted architectural programming and design course. Build-ings, 14, Article 1613. https://www.mdpi.com/
KAUST. (2022). KAUST showcases pioneering AI projects at the 2022 Global AI Summit. https://www.kaust.edu.sa/
KFUPM, Department of Architecture and City Design. (n.d.). Bachelor of Architecture (B.Arch). https://kfupm.edu.sa/
Komatina, D., Miletic, M., & Mosurovic, M. (2024). Embracing artificial intelligence (AI) in architectural educa-tion: A step towards sustainable practice? https://www.researchgate.net/
Korra, C., Valaboju, A. S., Kethi Reddy, A. R., & Yelagandula, M. (2022). Transformative approaches in architec-tural education: Leveraging artificial intelligence for enhanced design, creativity, and technical integration. https://www.researchgate.net/
Lee, M. J. W., & Koh, J. H. L. (2020). The challenges and prospects of artificial intelligence in education. Educa-tional Research Review, 30, 100327. https://doi.org/10.1016/j.edurev.2020.100327
Matter, N. M., & Gado, N. G. (2024). Artificial intelligence in architecture: Integration into architectural design process. Engineering Research Journal, 181, 1–16. https://doi.org/10.21608/erj.2024.344313
McLean, W. (2018). AI in architecture: Generative design solutions. Architectural Press.
Middle East University. (n.d.). Architecture and artificial intelligence conference: Student engagement and indus-try collaboration. https://meu.edu.jo/
MIT School of Architecture and Planning. (n.d.). Design studies—Solved with AI. https://architecture.mit.edu/
National University of Singapore, Department of Architecture. (n.d.). Bachelor of Arts in Architecture curricu-lum. https://cde.nus.edu.sg/
Paananen, V., Oppenlaender, J., & Visuri, A. (2024). Using text-to-image generation for architectural design idea-tion. International Journal of Architectural Computing, 22(3), 458–474. https://doi.org/10.1177/1478077124123456
Russell, S., & Norvig, P. (2021). Artificial intelligence: A modern approach (4th ed.). Pearson.
Sadek, M., & Abdel Gelil Mohamed, N. (2023). Artificial intelligence as a pedagogical tool for architectural edu-cation. MSA Engineering Journal, 2(2). https://www.ekb.eg/
SDAIA. (n.d.). AI ethics guidelines: Responsible data management, privacy, and security. https://www.sdaia.gov.sa/
Silver, M. (2020). Big data and smart urban design. Springer.
Smith, D., & Tardif, M. (2015). Building information modeling: A strategic implementation guide (2nd ed.). Wiley.
Stanford Institute for Human-Centered Artificial Intelligence. (n.d.). Advancing AI research and education through industry collaboration. https://hai.stanford.edu/
Taif University. (n.d.). Architectural engineering program: Course descriptions. https://www.tu.edu.sa/
UNESCO. (2019). AI and education: Guidance for policy-makers. UNESCO. https://unesdoc.unesco.org/
University of Benghazi. (n.d.). Workshop on artificial intelligence tools in scientific research. https://uob.edu.ly/
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education: Where are the educators? International Journal of Educational Technology in Higher Education, 16(1), 1–27. https://doi.org/10.1186/s41239-019-0171-0
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