ARCHIVES
VOL. 11, ISSUE 3 (2026)
Teaching reform and exploration on AI integrated teaching for fire protection engineering major under the background of smart fire protection
Authors
Yuxuan Yang
Abstract
Against the backdrop of the national AI+ Initiative and the rapid iterative development of the smart fire protection industry, the fire protection sector has seen growing demand for interdisciplinary engineering talents who master traditional fire protection theories such as fire dynamics and building fire protection, and possess capabilities in big data analysis, machine vision recognition and intelligent risk assessment. The conventional teaching mode for domestic fire protection engineering majors currently faces practical contradictions: course content falling behind advances in smart fire protection technologies, impossibility of physical experiments in high risk fire scenarios, insufficient reserve of interdisciplinary teaching staff, single sided practical evaluation approaches, and inadequate industry education integration. Based on the requirements of Emerging Engineering Education and post requirements of the smart fire protection industry, this paper analyzes realistic motivations and existing bottlenecks for AI integrated teaching reform in fire protection engineering. It puts forward the general reform philosophy of upholding core specialty content and empowering with AI technologies. Teaching reform is explored systematically from seven dimensions: revision of talent training objectives, reconstruction of curriculum systems, innovation of classroom teaching modes, development of virtual real integrated practical platforms, construction of multi dimensional evaluation systems, cultivation of interdisciplinary teaching teams, and establishment of industry university collaborative education mechanisms. A five in one implementation path for AI integrated teaching is constructed, covering theoretical teaching, virtual simulation, engineering practice, research training and industrial practice. Countermeasures are proposed for practical challenges emerging in reform implementation, including students’ misuse of AI tools, imbalanced discipline integration, and pressures from teaching resource investment. Teaching practices show that this reform scheme effectively narrows the gap between classroom teaching and post requirements of industries, enhances students’ comprehensive competence to solve complex smart fire protection engineering problems, and provides references for digital teaching reform of fire protection engineering and safety science and engineering majors in peer domestic universities.
Download
Pages:37-44
How to cite this article:
Yuxuan Yang "Teaching reform and exploration on AI integrated teaching for fire protection engineering major under the background of smart fire protection". International Journal of Advanced Educational Research, Vol 11, Issue 3, 2026, Pages 37-44
Pdf, Certificate, Cover Page, Index Page, Editorial Page, Accept Letter
Please enter the email address corresponding to this article submission.
