Research on Influencing Factors of Intangible Cultural Heritage Art Education Based on Big Data Analysis and Strategy Suggestions

With the reconstruction of modern education system and the transformation of media, intangible art education faces many challenges in inheritance path, audience participation, curriculum content, and so on. Through the mining and analysis of large-scale educational behavior data, we can reveal the potential factors that affect the learning effect and then provide the basis for the optimization of educational strategies. Based on the practical problems of intangible art education, combined with big data analysis method, this paper systematically discusses the key factors affecting the effectiveness of intangible art education, constructs a factor identification model, and puts forward corresponding optimization strategies. Through the construction of evaluation framework and strategic feedback mechanism, this study can provide theoretical guidance and data support for the inheritance mode, teaching design, and resource allocation of intangible cultural heritage education, thus promoting the sustainable spread of intangible cultural heritage in the new era.