Exploration of the interdisciplinary integration talent cultivation model for master's degree students in water conservancy engineering under the background of new engineering disciplines
Yanyu Lin
School of Civil Engineering and Water Conservancy, Heilongjiang Bayi Agricultural University
Shaodong Liu
School of Civil Engineering and Water Conservancy, Heilongjiang Bayi Agricultural University
Xin Zheng
School of Civil Engineering and Water Conservancy, Heilongjiang Bayi Agricultural University
Pengtao Qi
Qiqihar Water Bureau
DOI: https://doi.org/10.59429/esta.v12i3.11365
Keywords: water conservancy project; new engineering; cross-fusion; talent cultivation mode
Abstract
To address the urgent need for high-level compound talents in water conservancy industry's tech innovation and industrial upgrading under new engineering, and solve issues in master's training (unstable interdisciplinary concepts, supervisors' single research directions,curriculum-social demand disconnection), this study develops a "system-platform-faculty-method" four-in-one multi-disciplinary integration talent cultivation model.The model integrates resources and deepens industry-education integration by improving compound talent-oriented multi-disciplinary training systems(increasing cross-disciplinary courses), optimizing collaborative education mechanisms, strengthening recruitment/development of multi-disciplinary teachers and grassroots teaching organizations,innovating teaching methods, and enhancing industry-education integration.Aiming to break disciplinary barriers, it boosts students' cross-disciplinary knowledge integration, innovative practical ability and industry adaptability, meeting national strategic needs and industry transformation.Conclusion:The model has significant theoretical and practical value in cultivating new water conservancy talents (tackling complex challenges, leading tech innovation), improving training quality and service capacity, and advancing new engineering in water conservancy. Future efforts require continuous optimization and strengthened policy-resource support.
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