| Title |
Educational Space Models and Resource Strategies for Architecture Departments under AI- and BIM-Based Design Education |
| Authors |
장재우(Chang, Jae-woo) ; 김홍민(Kim, Hong-min) |
| DOI |
https://doi.org/10.5659/JAIK.2026.42.6.65 |
| Keywords |
Educational Space;BIM (Building Information Modeling); Artificial Intelligence (AI); User Satisfaction |
| Abstract |
This study examines how the spread of AI- and BIM-based design education is reshaping the spatial configuration and day-to-day operation of
educational spaces in KAAB-accredited architecture programs at a selected group of Korean national universities. Using a mixed-methods
approach?case reviews and public disclosures combined with student?faculty surveys and interviews?the study assesses current conditions and
perceived adequacy across design studios, digital environments, and making labs. One-way ANOVA explores between-school differences in
satisfaction, and multiple linear regression identifies key predictors of overall studio satisfaction. Findings indicate that, while minimum physical
standards are generally in place in the surveyed schools, user experience depends strongly on access to digital/making tools, personal work
areas, and collaborative/presentation facilities, and that student uptake of AI tools is outpacing institutional support. Synthesizing these findings,
the paper outlines near-term priorities for space and operations during the digital transition, including a shift toward a core/anchor studio model
supported by standardized digital/making infrastructures and basic operational practices. Although the results should be interpreted within the
scope of the selected sample, the study offers useful implications for improving design-education environments in comparable institutional
settings and highlights the need for longitudinal research with objective performance indicators and post-occupancy evaluation. |