Research on evaluation model of oral English teaching quality based on cloud computing
by Haiyan Li; Shixin Sun
International Journal of Continuing Engineering Education and Life-Long Learning (IJCEELL), Vol. 30, No. 4, 2020

Abstract: Aiming at the problem of low evaluation accuracy of the existing evaluation model of oral English teaching quality, this paper proposes an evaluation model of oral English teaching quality based on cloud computing. The evaluation indicator is divided into expert's evaluation indicator, student's evaluation indicator and teacher's self-evaluation indicator and a comprehensive evaluation indicator set is obtained. The cloud weight in cloud computing model is described by three digital eigenvalues: weight value, entropy value and hyper-entropy value, and the corresponding evaluation cloud model is set up. Based on the cloud computing principle, the cloud evaluation model of oral English teaching quality is constructed. The experimental results show that the model can effectively evaluate the quality of oral English teaching. The selected evaluation indicators are highly representative and the evaluation results are accurate.

Online publication date: Sun, 01-Nov-2020

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