Research on evaluation of hybrid teaching reform based on hidden Markov

Yu Cao and Hui-sheng Zhu

International Journal of Innovation and Sustainable Development, 2025, vol. 19, issue 1, 13-25

Abstract: In order to improve the accuracy of the mixed teaching reform evaluation results, a hybrid teaching reform evaluation method based on Hidden Markov is proposed. The information is collected from the PTA aided teaching platform, and the data of the mixed teaching reform is fused and preprocessed using support vector machine. Based on the principles of measurability and feasibility, the evaluation index system of mixed teaching reform is constructed. The hidden Markov theory is used to evaluate the effect of the mixed teaching reform. The experimental results show that the Cronbach coefficient α of the reliability and validity of the evaluation indexes selected in this paper is higher than 0.8, and the evaluation accuracy of the teaching reform evaluation method is as high as 97.6%, which shows that the research effect is remarkable.

Keywords: hidden markov; hybrid teaching; reform evaluation; cross entropy; evaluation grade; index system. (search for similar items in EconPapers)
Date: 2025
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