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AI-empowered intangible cultural heritage activation: innovative practice in higher education to build a "dual-core-driven" smart teaching system

Wang, Hei
Liu, Yipin
Ying, Li
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Editors
Date
2026
Educational Level
ISCED Level 6 Bachelor’s or equivalent
Geographical Setting
China
Abstract
Background: Higher education urgently needs to move from passive adoption of AI tools to proactive exploration. Focusing on the course Installation Art and Environmental Facilities A at Tianjin University, we integrate Intangible Cultural Heritage (ICH) with generative AI to cultivate students’ cultural confidence and computational creativity. Challenges & Opportunities: Traditional ICH education suffers from static content, low interactivity, and limited interdisciplinary integration. AI offers generative power, yet risks cultural dilution and ethical misuse. Method: We developed the “dual-core” system: (1) an 8848.86 automated design platform that embeds 14 textbooks and 81 papers into a dynamic knowledge graph; (2) a “five-step three-state” pedagogical model (resource preparation → content design → classroom implementation → assessment → auxiliary support). Tools included MidJourney, Stable Diffusion, and Doubao Vision Model. Data-driven assessment used radar charts (cultural, technical, social dimensions). Findings: Design cycle shortened from 4 weeks to 6 days (300 % efficiency gain); award rate rose from 20 % (2020) to 99 % (2024). Cultural recognizability increased 55%; 89% of under-prepared students improved significantly. The system has been adopted by 20 universities, benefiting 5000+ students. Impact on Teaching: Instructors shifted from knowledge transmitters to learning architects, orchestrating AI-human synergy and ethical reflection. A replicable paradigm for AI-enhanced design education has been established.
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Keywords (free text)
artificial intelligence, Intangible cultural heritage, smart curriculum, knowledge graph, generative design, interdisciplinary education, technology for good
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