Envisioning the Future: A Quantitative Analysis of Architecture Students' Perspectives on Artificial Intelligence Integration in Architectural Design across Region III, IV-A, and NCR, Philippines
Journal Title: International Journal of Current Science Research and Review - Year 2024, Vol 7, Issue 05
Abstract
In an era characterized by modernization and technological advancements, the emergence of artificial intelligence (AI) has brought changes to the different processes of various industries, including the field of architecture. To address concerns and present the views of those in the industry, this research aims to identify and describe the perceptions of Architecture students from various universities/colleges towards adopting AI in Architectural Design through descriptive-correlational research. As well as to discover the students’ acceptance level in adopting artificial intelligence in academic curriculum. Forty-five (45) university/college students enrolled in an Architecture program across diverse institutions drawn from a purposive sampling method answered a survey questionnaire containing Twenty (20) questions answerable by a 5-point Likert Scale. The results revealed that the students’ perceptions were neutral regarding adopting artificial intelligence in academic curriculum and future employment and careers. The correlational analysis suggested that the relationship between the perception of AI in architecture and its impact on career and employment was weak as they saw the potential threat of AI in future employment opportunities. The researchers recommended the results of this study for future research when gathering data related to artificial intelligence, the perception of the students, and the development of AI on how to improve and recognize the limitations of its use.
Authors and Affiliations
CJ S. Alcaraz, Lenra Zsamira Diocena, Janna Marie L. Dizon, Romaine Julia B. Lascano, Timothy Ishia M. Mawac, Marc Daniel C. Uy, Sienna Mae S. Verendia, Mc Rollyn D. Vallespin,
Keywords
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- EP ID EP734965
- DOI 10.47191/ijcsrr/V7-i5-11
- Views 67
- Downloads 0
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