Online Teaching Quality Intelligent Systems Evaluation Algorithm of Preschool Education Major Courses under the Background of Internet plus

Authors

  • Hua Li College of Preschool Teacher Education, Shaanxi Business College, Xi’an 710068, China

Abstract

Currently, in response to the evaluation of teaching quality issue, because the indicators involved in the evaluation are mostly qualitative, it is difficult to quantify accurately, and the traditional qualitative evaluation and single-factor evaluation methods lead to greater subjectivity and bias which, in turn, negatively affect the accuracy of the evaluation. In this regard, the online teaching quality evaluation algorithm of preschool education major courses under the backgroundof internet plus is proposed. Theteaching-quality data knowledge base anddatabase structure are designed, the teaching evaluation index system is constructed, the weights of the evaluation indexes are established by using hierarchical analysis, and the teaching-quality
evaluation model is constructed. The experiment results suggested that this method improves the accuracy of the evaluation. Experimental analysis shows that when this method is used to evaluate the quality of teaching, the evaluation score of the model is very close to the actual score, with small error and high evaluation accuracy.

Keywords: Preschool education major; teaching quality evaluation; hierarchical analysis; neural network.

Cite As

H.Li, "Online Teaching Quality Intelligent Systems Evaluation Algorithm of Preschool Education Major Courses under the Background of Internet plus", Engineering Intelligent Systems, vol. 33 no. 1, pp. 31-38, 2025.



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Published

2025-01-01

Issue

Vol. 33 No. 1 (2025): International Journal of Engineering Intelligent Systems

Section

Article

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