Evaluation method for network multimedia teaching quality of English based on information entropy
DOI:
https://doi.org/10.4108/eai.26-1-2022.173159Keywords:
Information entropy, Network multimedia, English teaching, Quality assessment, Attribute reduction, Evaluation modelAbstract
INTRODUCTION: Evaluation method of network multimedia English teaching quality is studied based on information entropy.
OBJECTIVES: A effective method is proposed to monitor and manage network multimedia teaching of English, which can improve the level of English teaching.
METHODS: Attribute reduction of conditional information entropy is used to obtain the key evaluation indexes by removing the redundant evaluation indexe, and the evaluation model is constructed to evaluate the quality of network multimedia teaching of English.
RESULTS: The results show that in English multimedia classroom teaching, the key knowledge points are explained thoroughly, the ability to analyze and solve practical problems and the ability of innovative thinking have the highest weight, and have the greatest impact on the quality of English network multimedia teaching. In the future network multimedia English teaching, K1, K2 and K3 teachers should properly improve the quality of their network multimedia English courseware; K4, K5 and K6 teachers should pay attention to improving the teaching effect of Multimedia English classroom.
CONCLUSION: This method effectively evaluates the quality of English multimedia classroom teaching, can help teachers improve the quality of education, provide development suggestions for teachers, and provide a scientific basis for improving the level of English Teaching in Colleges and universities.
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This work is licensed under a Creative Commons Attribution 3.0 Unported License.
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Funding data
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Ministry of Education Science and Technology Industry-University Cooperation and Education Project
Grant numbers 202002056033