인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
학술저널
DBpia Top 10%
오류 신고하기해당 페이지 내 제목·저자·목차·페이지정보가 잘못된 경우 알려주세요!
초록·키워드
In recent years, the rapid advancement of artificial intelligence (AI) tools has led to the emergence of various AI-driven services capable of automatically generating images, architectural drawings, and 3D renderings. As AI proficiency becomes increasingly essential in the field of design, integrating AI into education is crucial for preparing future designers. This study aims to explore the role of AI in interior design education by analyzing a AI-integrated class case, evaluating improvements in creativity and design ability, and collecting expert opinions. In this study, first-year undergraduate students were experienced to both conventional design methods and AI-assisted image generation techniques. Their work was then evaluated and analyzed for comparison. Additionally, a survey was conducted to assess students’ perceptions regarding AI utilization in design. The findings indicate that projects incorporating AI generally received higher evaluation scores, and students expressed high levels of satisfaction with AI-assisted design processes. Moreover, key factors such as ease of use, creativity, intention to use, and perceived usefulness were ranked in descending order. Expert interviews were also conducted to gain further insights. According to the experts, while AI can enhance creativity, it is essential to provide traditional design education without AI to strengthen fundamental design skills. Furthermore, experts emphasized the need for a systematic approach to AI education to ensure its efficient and effective application in the future. In conclusion, AI education is necessary for interior design; however, students must first develop a deep understanding of design principles, contextual awareness, and critical insight. By mastering these foundational skills, they can leverage AI as a tool for more effective and innovative design solutions in the future.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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UCI(KEPA) : I410-151-25-02-093034595