The Use of Genetic Algorithm, Multikernel Learning, and Least-Squares Support Vector Machine for Evaluating Quality of Teaching

Author:

Yi Yingying1,Zhang Hao12ORCID,Karamti Hanen3,Li Shasha1,Chen Renmei1,Yan Huan4,Wang Chenguang5ORCID

Affiliation:

1. Institute of Education, Guizhou Normal University, 116 Baoshan Bei Lu, Guiyang, Guizhou, China

2. Guizhou Provincial Educational Governance Modernization Research Center, Guiyang 550025, China

3. Department of Computer Sciences College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia

4. Baiyun District Vocational and Technical School, Guiyang 550000, China

5. School of Business, Lingnan University, 8 Castle Peak Road, Tuen Mun, Hong Kong

Abstract

The educational data mining (EDM) methods are increasingly diversified. In this research, a hybrid method of multikernel learning (MKL), least-squares support vector machine (LSSVM), and genetic algorithm (GA) is employed to evaluate teaching quality through nine indicators; the reliability of our proposed method is evaluated by confidence interval and prediction interval. First, English teaching quality samples occurring from three age groups at Guizhou Normal University are collected. Next, an intelligent method MK-LSSVM is proposed. Finally, the test sets are regression by the proposed model, and regression results are evaluated by confidence interval, prediction interval, and several error calculation methods; we also develop an ablation experiment for our proposed model. The experiment indicates that the MKL-LSSVM-GA outperforms other benchmark methods at three age-group levels. Additionally, at all three age-group levels, the experiment indicates that three indicators are crucial for the evaluation of teaching quality. Therefore, the proposed model in this paper can evaluate the English teaching quality effectively.

Funder

Princess Nourah Bint Abdulrahman University

Publisher

Hindawi Limited

Subject

Computer Science Applications,Software

Reference43 articles.

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4. Research on the teaching quality evaluation of physical education with intuitionistic fuzzy TOPSIS method;S. Liu;Journal of Intelligent & Fuzzy Systemoks,2021

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