Research on the Talent Training Model for Master's Degree in Civil and Hydraulic Engineering under the Background of Intelligent Construction

Abstract

With the rapid advancement of technologies such as artificial intelligence, big data, and cloud computing, intelligent construction has become a pivotal direction for the transformation and upgrading of the civil and hydraulic engineering industry. This paradigm shift transcends mere technological adoption, representing a fundamental restructuring of project lifecycle management, from conceptual design and precise planning to efficient execution, sustainable operation, and intelligent maintenance. Consequently, this transformation poses multifaceted and profound new demands for industry professionals, necessitating a corresponding evolution in higher education, particularly at the postgraduate level where specialized expertise is honed. This paper aims to explore the reform and innovation of the cultivation model for Civil and Hydraulic Engineering Professional Master's students under the backdrop of intelligent construction. It begins by conducting a systematic analysis of the evolving talent demands of the industry, identifying key competency gaps. Subsequently, by synthesizing relevant domestic and international research findings, pedagogical theories, and pioneering practical experiences from engineering education, a comprehensive framework of targeted teaching reform measures is proposed. This framework encompasses curriculum redesign, pedagogical innovation, practical training enhancement, and mentorship restructuring. The ultimate goal is to cultivate a new generation of high-level, interdisciplinary specialists who possess not only solid theoretical foundations in their core discipline but also outstanding practical capabilities in applying intelligent technologies, coupled with a robust innovative spirit and adaptive problem-solving skills. Such a cultivated talent pool is deemed essential for providing robust and sustainable intellectual support for the ongoing and future development of the intelligent construction field.