Application of multimedia-based network teaching platform in college physical education teaching
Under the open education system, college physical education multimedia network teaching involves complexity and diversity.To improve the efficiency of such teaching, this paper proposes an information fusion model based on big data resource scheduling for online courses.The design incorporates a software platform built in an embedded Linux environment, including several key modules such as the database module, multimedia information resource sampling module, embedded program processing module, and multimedia human-machine interaction control module.The platform aims to enhance teaching and learning experiences in college physical education by offering students an interactive and comprehensive learning environment.Key components of the platform design include the user interface, the database module, and the information fusion model.The platform utilizes Excel and Access technology for data collection and database construction within the open education system.Additionally, a quantitative recursive analysis method is applied to design the algorithm for multimedia network teaching information fusion and scheduling under a linear programming model.The algorithm integrates into the platform using the instruction dynamic loading module, which loads it into the system control terminal and the information processing center.After successful loading, the algorithm is executed for various tasks related to information fusion and scheduling.This feature allows for the efficient management of resources and data.Furthermore, the platform supports cross-compilation and multi-mode control of multimedia network teaching information in a cloud computing environment.By combining embedded software design techniques, the software development of the management platform is realized.The results demonstrate that the platform's multi-mode integration and scheduling abilities are enhanced, and its real-time retrieval and access capabilities are stronger, thereby improving the quality of multimedia network teaching in college sports.
Publication Details
- Journal
- Journal of Combinatorial Mathematics and Combinatorial Computing
- Published
- 2025-04-20
- DOI
- https://doi.org/10.61091/jcmcc127b-255
- Primary Topic
- Educational Technology and Pedagogy
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Yulin Science and Technology Bureau
- Education Department of Shaanxi Province