Abstract
The resource adjustment mechanism currently used lacks reliable path selection process design steps, resulting in long adjustment time and low efficiency. Based on this, this paper puts forward a dynamic adjustment mechanism of university intelligent classroom learning resources based on the network teaching platform. According to the framework of network teaching platform, the function of network teaching resource platform is analyzed. Under the constraints of online learning resource capacity, this paper studies the dynamic adjustment principle of learning resources based on the network teaching platform. This paper uses genetic algorithm to solve the objective function, completes the time required to dispatch the subtask hall, designs a dynamic adjustment reliable path, and completes the dynamic adjustment of University intelligent classroom learning resources. The experimental results show that the braking dynamic adjustment effect of the machine is good.
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Anhui Quality Engineering Project No.: 2017zhkt123.
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© 2020 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Jiang, Ll., Xu, R., Liu, Hl. (2020). Dynamic Adjustment Mechanism of Intelligent Classroom Learning Resources in Universities Based on Network Teaching Platform. In: Liu, S., Sun, G., Fu, W. (eds) e-Learning, e-Education, and Online Training. eLEOT 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 339. Springer, Cham. https://doi.org/10.1007/978-3-030-63952-5_16
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DOI: https://doi.org/10.1007/978-3-030-63952-5_16
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