Towards Evaluating The AI-Embedded Educational Model for Architecture Students and Its Impact on Their Design Outcomes

Document Type : Original research papers

Authors

1 Assistant professor, Architectural Engineering Department, Delta University for Science and Technology, Gamesa City, Dakahlia Governorate, Egypt

2 Demonstrator, Architectural Engineering Department, Delta University for Science and Technology, Gamesa City, Dakahlia Governorate, Egypt

3 Student, Architectural Engineering Department, Delta University for Science and Technology, Gamesa City, Dakahlia Governorate, Egypt

Abstract

This research explores the impact of AI-assisted teaching on architecture students, addressing the literature gap on the effectiveness of AI in education, particularly in architectural studies. The study developed an AI-integrated teaching methodology and evaluated its influence over an eight-week course involving 24 students from same level in architecture department.
The study employed structured interviews and questionnaires at different stages of the course to assess the effectiveness of the AI teaching model. Findings showed that AI-enhanced teaching positively influenced students' learning, improving their innovative capabilities and work efficiency. However, challenges included uncoordinated use of AI tools by students and the unpredictability of AI-generated design solutions. Despite these challenges, the research supports integrating AI into architectural education to foster creativity, efficiency, and personalized learning. A balanced approach is suggested to prevent over-dependency on AI and to encourage critical thinking skills.

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Delta University Scientific Journal
Volume 7, Issue 3
Special Issue DU- IECRI 2024 Second International Engineering Conference on Research and Innovation Faculty of Engineering, Delta University, Egypt
November 2024
Pages 154-173

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