Improvement of English Teaching Process Management Based on Intelligent Data Sampling

Jin Cheng and Wei Liu

Mathematical Problems in Engineering, 2022, vol. 2022, 1-12

Abstract: In order to improve the management effect of English teaching process, this paper combines intelligent data to use technology to improve the management of English teaching process, improve the effect of English teaching, and construct an intelligent English teaching process management system. Moreover, this paper considers the interpolation problem of time series data in the metric space defined by dynamic time warping, and proposes an oversampling method for unbalanced time series data. In addition, this paper chooses to classify the Gaussian process model that is sensitive to unbalanced time series data to test the effect of the model. The experimental research results show that the English teaching process management system based on intelligent data sampling proposed in this paper can play an important role in English teaching management and can effectively improve the efficiency of English teaching.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:2783725

DOI: 10.1155/2022/2783725

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