As a key path to promote the transformation and upgrading of the construction industry and achieve high-quality development, the cultivation of intelligent construction professionals has become a core task for construction-related colleges and universities. Based on the academic big data platform of China National Knowledge Infrastructure (CNKI), this paper systematically reviews the core literature related to the teaching of intelligent construction from 2017 to 2024 by using bibliometric and visualization analysis methods. Through multi-dimensional analysis such as Keyword co-occurrence networks, temporal evolution, and institutional distribution, it visually presents the research hotspots, development trends, and cooperation patterns in this field. This provides a rapid and feasible method for college teachers to understand the current situation of intelligent construction teaching and grasp the direction of teaching reform, and also offers more ideas for in-depth exploration of new teaching models of intelligent construction. It is expected to provide data support and decision-making references for the high-quality development of intelligent construction majors in China.