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<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">CAS</journal-id><journal-title-group><journal-title>Cultural and Arts Studies</journal-title></journal-title-group><issn>3083-3957</issn><eissn>3083-3949</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/CAS.v2i2.15405</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Research on AI-Enabled Embodied Teaching Path of SECI Model— Based on the Teaching Practice of “Fundamentals of Architectural Spatial Composition”</title><url>https://artdesignp.com/journal/CAS/2/2/10.26689/CAS.v2i2.15405</url><author>WuDan</author><pub-date pub-type="publication-year"><year>2026</year></pub-date><volume>2</volume><issue>2</issue><history><date date-type="pub"><published-time>2026-04-30</published-time></date></history><abstract>The deep involvement of generative artificial intelligence in design education not only improves the efficiency of knowledge transformation, but also causes deep crises such as physical departure, cognitive outsourcing and tacit knowledge digestion. In view of the difficulties in transferring the tacit knowledge of design theory and the decoupling of students&amp;rsquo; spatial perception and physical experience in the course of &amp;ldquo;Fundamentals of architectural space composition&amp;rdquo; in application-oriented universities, this paper takes the four stages of SECI as the basic structure of knowledge transformation, takes the physical presence, situational experience and meaning generation of embodied cognition as the practice path, and takes the perception enhancement of AI technology, cognitive navigation and meaning negotiation as the technical support, and systematically reconstructs the embodied path of the four stages of socialization, externalization, combination and internalization in the SECI knowledge transformation model. The research positions AI tools as &amp;ldquo;embodied cognitive enhancement system&amp;rdquo; rather than a substitute subject, activates embodied experience by relying on the immersive perceptual field of the founding field, realizes knowledge sharing through the multimodal Visual Dialogue of the communication field, expands the cognitive boundary through the dynamic situation generation of the virtual field, and completes the internalization of knowledge by returning to the quasi real professional situation of the practice field, so as to promote the spiral rise of tacit knowledge in the presence of the body. It is expected to provide a reproducible theoretical reference and practical path for the knowledge creation of design basic education in the AI era.</abstract><keywords>AI empowerment, SECI model, Embodied cognition, Knowledge creation, Fundamentals of Architectural Spatial Composition, Human-machine cooperation</keywords></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>[1]&amp;nbsp;&amp;nbsp; Zhang L, 2013, On the Curriculum and Teaching Implications of Embodied Cognition Theory. Global Education, (4): 27&amp;ndash;32.
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