A construction of online teaching quality evaluation model based on big data mining Online publication date: Sun, 03-Dec-2023
by Weijuan Li
International Journal of Continuing Engineering Education and Life-Long Learning (IJCEELL), Vol. 34, No. 1, 2024
Abstract: This paper designs an online teaching quality evaluation model based on big data mining. Firstly, the online teaching big data is preprocessed to improve data retrieval accuracy and save evaluation time. Then, a self-coding network is established to effectively represent data features and complete data reconstruction through data coding/decoding, so as to effectively mine teaching quality data. Finally, six first-level indicators and 16 second-level indicators are designed to complete the construction of online teaching quality evaluation model by setting the weight of each indicator. According to the simulation experiment, the evaluation time of model of this paper is 25 s-29 s, the retrieval accuracy of online teaching data is closer to 1, and the comprehensive evaluation accuracy is between 94% and 96%, indicating that the model has higher evaluation efficiency and reliability, and better application effect.
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