With the rapid technological iteration in the intelligent construction field, the traditional engineering education system has exposed numerous shortcomings, making it difficult to meet the urgent demand of the industry for interdisciplinary talents. Endowed with powerful data mining and analysis capabilities, highly flexible content generation capabilities, and superior intelligent interaction features, generative artificial intelligence (GAI) provides new possibilities for the reform of education models in universities. Taking the educational reform practice of intelligent construction in Wuhan University as an example, combined with the interdisciplinary ecosystem supported by large language model technology, this paper systematically explores the innovative approaches of GAI in reshaping the education model, analyzes the potential risks and challenges in its application process, and puts forward targeted coping strategies. The research aims to promote the model transformation in the field of intelligent construction education, and further drive the development of architectural engineering education towards greater intelligence and efficiency.