Author(s)

Youhao Sun ¹, Mengyin Xu ¹

Affiliation(s)

¹ School of Hydraulic Engineering, Anhui Water Conservancy Technical College, Hefei, China

Corresponding Author

Mengyin Xu

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.

KEYWORDS

Artificial Intelligence, Water Conservancy Vocational Education, Teaching Innovation, Smart Water Conservancy, Virtual Simulation

CITE THIS PAPER

Youhao Sun, Mengyin Xu, AI-Enabled Teaching Research in Water Conservancy Vocational Colleges. Advances in Vocational and Technical Education (2025) Vol. 7: 199-203. DOI: http://dx.doi.org/10.23977/avte.2025.070228.

REFERENCES

[1] Li, X., & Wang, Y. (2023). Integration of Virtual Simulation and AI in Water Conservancy Vocational Education. Journal of Water Resources Education, 32(2), 89-102.
[2] Zhang, H., & Chen, L. (2022). AI-Enabled Personalized Learning Paths for Water Conservancy Students. International Journal of Artificial Intelligence in Education, 25(4), 456-470.
[3] Liu, S., & Zhao, M. (2024). Challenges and Strategies of AI Implementation in Vocational Water Conservancy Teaching. Educational Technology Research and Development, 72(1), 15-30.
[4] Sun, D., & Wu, J. (2023). Smart Teaching Platforms for Water Conservancy Vocational Colleges: Design and Application. Journal of Educational Technology in Water Resources, 18(3), 211-225.
[5] Chen, X., & Li, W. (2022). Teacher Competency Development in AI-Enabled Water Conservancy Education. Vocations and Learning, 15(2), 189-204.
[6] Wang, Z., & Guo, Q. (2024). Data-Driven Governance in Water Conservancy Vocational Colleges: A Case Study. Journal of Educational Administration and Leadership, 40(4), 345-360.
[7] Zhao, Y., & Huang, R. (2023). Industry-Education Integration in AI-Enhanced Water Conservancy Teaching. International Journal of Engineering Education, 39(5), 1123-1138.
[8] Liu, Y., & Zhou, H. (2022). AI-Enhanced Assessment Systems for Water Conservancy Vocational Training. Assessment & Evaluation in Higher Education, 47(6), 890-905.
[9] Wu, S., & Sun, X. (2024). Future Trends of AI in Water Conservancy Vocational Education. Journal of Future Education, 12(1), 45-60.
[10] Guo, L., & Zhang, M. (2023). Multimodal Courseware Development with AI in Water Conservancy Teaching. Computers & Education, 180, 104321.

Sponsors, Associates, and Links

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• Advances in Educational Technology and Psychology
  
  
• Curriculum and Teaching Methodology
  
  
• Transactions on Comparative Education
  
  
• Applied & Educational Psychology
  
  
• Adult and Higher Education