Abstract
With the advent of the digital era of network information, online teaching has become one of the main teaching methods for aircraft mechanical and electrical equipment maintenance majors. However, there are currently a large number of online teaching resources scattered across different platforms and websites, which requires students to spend a lot of time and energy searching and screening suitable resources for themselves. Therefore, a study on the integration method of multimodal online teaching resources for aircraft electromechanical equipment maintenance majors is proposed. Firstly, conduct a thorough analysis of the characteristics of multimodal online teaching resources and classify and process teaching resources. Then, based on this, establish a judgment and evaluation mechanism for the teaching resource website of aircraft electromechanical equipment maintenance major. Finally, crawler technology is used to automatically collect online teaching resources, and improved fish swarm algorithm and fuzzy C-means clustering algorithm are applied to achieve the integration of online teaching resources. The experimental data shows that under two experimental conditions, the integration time of teaching resources obtained after the application of the proposed method is the smallest, which is 5.2 s and 4.0 s, respectively, fully confirming that the integration performance of multimodal online teaching resources is more high-quality.
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Acknowledgement
A school-level project of Beijing Polytechnic, Project Name: Research on innovation of teaching mode of aircraft electromechanical equipment maintenance specialty (2023X020-SXZ).
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© 2024 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Li, W., Lei, Z., Qu, M. (2024). Research on the Integration of Multimodal Online Teaching Resources for Aircraft Electromechanical Equipment Maintenance Specialty. In: Gui, G., Li, Y., Lin, Y. (eds) e-Learning, e-Education, and Online Training. eLEOT 2023. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 545. Springer, Cham. https://doi.org/10.1007/978-3-031-51471-5_25
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DOI: https://doi.org/10.1007/978-3-031-51471-5_25
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