AI Technology Empowers the Study of Creative Transformation of Traditional Culture in Higher Vocational Environmental Art Design
Year: 2025
Type: conference-paper
Abstract: With the rapid development of AI technology, higher vocational institutions face an urgent challenge in educational digital transformation: how to effectively implement AI technologies in environmental art education to genuinely enhance students' practical skills and improve institutional teaching efficiency. This study proposes a three-phase pedagogical model to empower students' design practices: Phase 1 establishes an AI-augmented material repository for classroom instruction, constructing a robust resource foundation for curriculum development. Phase 2 cultivates students' competence in intelligently extracting keywords from cultural semantics, enabling precise analysis of traditional patterns. Phase 3 develops a human-AI collaborative design workflow to guide students in completing design transformations. Experimental results demonstrate a 26.7% increase in pattern application accuracy within the test group after AI adoption. This research innovatively integrates AI tool adaptation with digital cultural verification and presentation systems, not only providing a replicable implementation framework for traditional culture pedagogy but also advancing the digital reform of teaching evaluation mechanisms. The findings offer paradigmatic significance for the intelligent transformation of art and design education.
Authors: Qianqian Ma, Zhongfeng Chen, Huiling Lai, Xianqiong Liao
Institution: Guangzhou Nanyang Polytechnic College
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: hybrid
OpenAlex ID: W4412790131