Research on the Application Path and Effectiveness of Digital Intelligence in Cost Engineering Teaching

Abstract

With the deep penetration of digital intelligence technology (integration of digitalization and intelligence) in the construction industry, cost engineering education urgently needs to reform traditional teaching models. This paper analyzes the core applications of digital intelligence technology in the field of cost engineering, combines classroom teaching practices, and explores the integration paths of digital intelligence tools and methods as well as their impact on teaching effectiveness. The research shows that digital intelligence teaching significantly enhances students’ practical abilities and industry adaptability through virtual simulation, BIM technology, and big data analysis. However, challenges such as rapid technological updates and insufficient teacher-student alignment remain. Future strategies should optimize teaching approaches through industry-academia collaboration and curriculum restructuring to cultivate interdisciplinary cost engineering professionals.