An Improved Education Evaluation Model Based on SEEQ

2014 ◽  
Vol 926-930 ◽  
pp. 4457-4460
Author(s):  
Yin Zhen Zhong ◽  
Min Xia Liu ◽  
Wei Chun Gao
Keyword(s):  
Evaluation Model ◽  
Teaching Evaluation ◽  
Education Evaluation ◽  
Practical Issue ◽  
Evaluation Result ◽  
Model Based ◽  
Teaching Assessment

In order to improve the credibility of vocational teaching evaluation, the paper summarizes the traditional SEEQ evaluation model, and analyzes some existing deficiencies. Combined with the demand of current teaching evaluation, a kind of improved teaching evaluation model-VSEEQ is proposed. The model increases two new evaluation dimensions. Through the research sampling, the data is conducted the KMO and Bartlett analysis. The experiment can show that VSEEQ evaluation result can accurately reflect the practical issue existed in the teaching, thus greatly improving the credibility of teaching assessment.

scholarly journals Construction of Music Teaching Evaluation Model Based on Weighted Naïve Bayes

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Xiongjun Xia ◽  
Jin Yan
Keyword(s):  
Evaluation System ◽  
Naive Bayes ◽  
Evaluation Model ◽  
Audio Signal ◽  
Naïve Bayes ◽  
Teaching Evaluation ◽  
Machine Learning Algorithms ◽  
Music Teaching ◽  
Model Based ◽  
Bayes Algorithm

Evaluation of music teaching is a highly subjective task often depending upon experts to assess both the technical and artistic characteristics of performance from the audio signal. This article explores the task of building computational models for evaluating music teaching using machine learning algorithms. As one of the widely used methods to build classifiers, the Naïve Bayes algorithm has become one of the most popular music teaching evaluation methods because of its strong prior knowledge, learning features, and high classification performance. In this article, we propose a music teaching evaluation model based on the weighted Naïve Bayes algorithm. Moreover, a weighted Bayesian classification incremental learning approach is employed to improve the efficiency of the music teaching evaluation system. Experimental results show that the algorithm proposed in this paper is superior to other algorithms in the context of music teaching evaluation.

scholarly journals Construction of Moral Education Evaluation Model Based on Quality Cultivation of College Students

2022 ◽  
Vol 2022 ◽  
pp. 1-11
Author(s):  
Xiaolin Yuan
Keyword(s):  
College Students ◽  
Moral Education ◽  
Evaluation Model ◽  
Principal Component ◽  
Education Evaluation ◽  
Moral Choice ◽  
Sis Model ◽  
Management Level ◽  
Model Based ◽  
Moral Quality

Contemporary young college students are greatly impacted in the aspects of moral cognition and moral choice, which results in the weak moral will of some college students, vague moral concepts, and weak ideals and beliefs, which seriously affect the formation and development of college students’ moral quality. Therefore, the moral education evaluation model based on college students’ quality cultivation is constructed. Firstly, the present situation and defects of college students’ quality training are analyzed. Based on this, association rules in data mining method are constructed and introduced to extract valuable knowledge hidden in the data to assist education managers to make effective decisions and improve management level. Finally, the evaluation index is selected and the weighted principal component TOP-SIS model is constructed to realize the evaluation of moral education based on college students’ quality cultivation. The experimental results show that the evaluation results of the model are consistent with the actual situation, high degree of fit and freedom, and good practical performance.

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