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Issue title: Impact of Intelligence Methodologies on Education and Training Process
Guest editors: Vijayalakshmi Saravanan
Article type: Research Article
Authors: Lv, ZhiYuana | Shen, Hengyunb; *
Affiliations: [a] Youth League Committee, Wenzhou Polytechnic, Wenzhou, China | [b] School & Hospital of Stomatology, Wenzhou Medical University, Zhejiang, China
Correspondence: [*] Corresponding author. Hengyun Shen, School & Hospital of Stomatology, Wenzhou Medical University, Zhejiang, 325000, China. E-mail: [email protected].
Abstract: In this paper, the mathematical model and algorithm based on knowledge forgetting curve are studied. Through the analysis of the current mathematical modeling and application of “knowledge forgetting curve”, the artificial intelligence method of fuzzy mathematics knowledge and differential modeling is adopted. This paper puts forward the mathematical model and algorithm design of the new “knowledge forgetting curve”, which aims to improve the intelligence of the software and bring a new learning experience for the teaching evaluation of the education system in colleges and universities. The fuzzy logic theory is applied to the teaching evaluation system of higher learning pedagogy, according to pedagogy and other related theories, combined with the current teaching evaluation indicators of colleges and universities, the teaching evaluation indicators of higher learning education are set according to certain requirements. The sample wood data is divided into two parts by using the fuzzy logic principle, and the training model is obtained by training the sample data in the evaluation system, and the training model is used to intelligently evaluate and analyze the prediction data.
Keywords: Teaching evaluation, fuzzy logic, artificial intelligence, knowledge forgetting curve
DOI: 10.3233/JIFS-189387
Journal: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3501-3511, 2021
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