Title: Research on evaluation of hybrid teaching reform based on hidden Markov

Authors: Yu Cao; Hui-sheng Zhu

Addresses: School of Physics and Information Engineering, Jiangsu Second Normal University, Nanjing, 210013, China ' Jiangsu Province Engineering Research Center of Basic Education Big Data Application, Nanjing, 210013, China

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.

DOI: 10.1504/IJISD.2025.142908

International Journal of Innovation and Sustainable Development, 2025 Vol.19 No.1, pp.13 - 25

Received: 26 Aug 2022
Accepted: 31 Oct 2022
Published online: 02 Dec 2024 *

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