TY - GEN
T1 - Revolutionizing Pedagogical Methods in Architectural Design Studios
T2 - 27th International Conference on Interactive Collaborative Learning, ICL 2024
AU - Albdour, Ala’
AU - Agiel, Ahmed
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
PY - 2025
Y1 - 2025
N2 - This paper examines the integration of Artificial Intelligence (AI) and the Repertory Grid Technique (RGT) in enhancing the role of the instructor as a facilitator in the architectural design studio (ADS) at the United Arab Emirates University. By leveraging AI to generate text-based images from students’ architectural perceptions, and employing RGT to deepen their engagement, the study explores how these technologies can aid first-year students in designing brand images. Implemented in one first-year design studio section, the approach involved eliciting the preferred architectural images through student narratives, which were then visualized using AI, lastly using them as inspiration material. Results from structured interviews suggest that the framework was helpful for the students while maintaining the instructor’s role as facilitator, though further refinement and more extensive student interaction with AI tools are recommended for enhanced learning outcomes.
AB - This paper examines the integration of Artificial Intelligence (AI) and the Repertory Grid Technique (RGT) in enhancing the role of the instructor as a facilitator in the architectural design studio (ADS) at the United Arab Emirates University. By leveraging AI to generate text-based images from students’ architectural perceptions, and employing RGT to deepen their engagement, the study explores how these technologies can aid first-year students in designing brand images. Implemented in one first-year design studio section, the approach involved eliciting the preferred architectural images through student narratives, which were then visualized using AI, lastly using them as inspiration material. Results from structured interviews suggest that the framework was helpful for the students while maintaining the instructor’s role as facilitator, though further refinement and more extensive student interaction with AI tools are recommended for enhanced learning outcomes.
KW - Architectural design studio
KW - Artificial education
KW - pedagogy
KW - Repertory Grid Technique
UR - http://www.scopus.com/inward/record.url?scp=105001281530&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=105001281530&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-85649-5_46
DO - 10.1007/978-3-031-85649-5_46
M3 - Conference contribution
AN - SCOPUS:105001281530
SN - 9783031856488
T3 - Lecture Notes in Networks and Systems
SP - 469
EP - 475
BT - Futureproofing Engineering Education for Global Responsibility - Proceedings of the 27th International Conference on Interactive Collaborative Learning, ICL 2024
A2 - Auer, Michael E.
A2 - Rüütmann, Tiia
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 24 September 2024 through 27 September 2024
ER -