Exploring the Pathway of Empowering Emergency Management Major Course Instruction through Science and Innovation Projects
DOI:
https://doi.org/10.54097/68rtaf46Keywords:
College Innovation Project, Emergency Management Major, Digital Twin, Classroom Teaching Reform, Virtual Fire SimulationAbstract
Against the background of emerging engineering education reform, traditional lecture-based teaching of emergency management courses relies merely on static printed fire cases, which cannot create dynamic fire scenarios for students to practice emergency judgment. Our teaching group carried out a one-year classroom teaching pilot based on the college student innovation project of intelligent building fire evacuation simulation system. We decomposed the complete technical system including multi-source sensing, edge AI identification and improved A* dual-objective algorithm into graded classroom learning tasks matching different learning levels. Teaching data collected from 83 undergraduates shows that students’ scores on dynamic scenario judgment rise significantly after the reform, and their learning initiative is greatly improved. This paper sorts out the operable classroom implementation methods of transforming innovation project achievements into teaching materials, which can provide practical references for fire-related courses of emergency management majors in other universities.
Downloads
References
[1] Helbing, D., & Molnár, P. (1995). Social force model for pedestrian dynamics. Physical Review E, 51(5), 4282–4286. https:// doi.org/10.1103/PhysRevE.51.4282.
[2] Zhao, X. (2024). Construction and practice of undergraduate teaching system of emergency management under OBE concept. Journal of University of Shanghai for Science and Technology (Social Sciences Edition), 46(3), 266–271.
[3] Wang, F. Y., Zhou, J. J., Liu, Y., et al. (2026). Research on multi-objective path planning for emergency evacuation in subway stations using an integrated and improved ant colony-genetic algorithm. Systems, 14(2), 141. https://doi.org/ 10. 3390/ systems14020141.
[4] Bi, L., Liu, Y. L., Zhong, D. Y., et al. (2024). Multi-objective real-time planning of evacuation routes for underground mine fires. Applied Sciences, 14(17), 7521. https://doi.org/ 10.3390/ app 14177521.
[5] Wang, Y., Ge, J., & Comber, A. (2025). Modelling emergent pedestrian evacuation behaviors from intelligent, game-playing agents. Journal of Computational Social Science, 8, 49. https://doi.org/10.1007/s42001-025-00369-9.
[6] Chen, C., Yu, R., Wang, S., et al. (2025). Modelling of crowd evacuation behavior considering the effects of drunken gait. Simulation Modelling Practice and Theory, 142, 103128. https://doi.org/10.1016/j.simpat.2025.103128.
[7] Xu, Z., He, N., Wu, P., He, J., Jin, S., & Zhang, K. (2025). A path similarity based multimodal multi-objective evolutionary algorithm for path planning problem. In 2025 Asian Conference on Artificial Intelligence Technology (ACAIT) (pp. 130–134). https://doi.org/10. 1109/ ACAIT67930. 2025. 115 22650.
[8] Ander, G., Dariel, H., & Lee, D. J., et al. (2023). Limited visual range in the Social Force Model: Effects on macroscopic and microscopic dynamics. Physica A: Statistical Mechanics and its Applications, 612, 128461. https://doi.org/ 10.1016/j. physa. 2023. 128461.
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Journal of Education and Educational Research
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
