Year: 2025
Type: article
Abstract: This study explores the application models and practical outcomes of artificial intelligence (AI) technology in teaching at water conservancy vocational colleges. Research indicates that AI has significantly enhanced teaching quality and students' comprehensive competencies through the construction of smart teaching platforms, virtual simulation systems, personalized learning pathways, and data-driven governance mechanisms. However, during the application of AI, water conservancy vocational colleges face challenges such as technology integration, resource development, and teacher capacity building. Strategies including improving infrastructure, strengthening teacher training, and deepening industry-education integration are essential. AI-enabled water conservancy vocational education is a systematic project that will drive the field toward intelligent, personalized, and collaborative development.
Authors: Youhao Sun, Mengyin Xu
Institution: Anhui Water Conservancy Technical College
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4414544053
FWCI:
Cites:
Cited by:
Related to: