A Comprehensive Teaching Evaluation Model Based on Factor Analysis in Universities

2018 ◽  
Vol 08 (04) ◽  
pp. 384-388
Author(s):  
维 唐
Keyword(s):  
Factor Analysis ◽  
Evaluation Model ◽  
Teaching Evaluation ◽  
Model Based

Research on the Operating Performance Evaluation of Listed Companies Supplying Water and Gas Based on Factor Analysis

2011 ◽  
Vol 467-469 ◽  
pp. 543-548
Author(s):  
Jun Fei Chen ◽  
Xiao Lan Zhou
Keyword(s):  
Decision Making ◽  
Factor Analysis ◽  
Performance Evaluation ◽  
Evaluation Model ◽  
Operating Performance ◽  
Listed Companies ◽  
Development Potential ◽  
Model Based ◽  
Performance Evaluation Model

The operating performance of listed companies is the comprehensive response on their quality of assets, operating state, development potential and so on. In this paper, evaluating indexes system which was used to evaluate the operating performance was provided combining with the feature of supplying water and gas listed companies in China. The performance evaluation model based on the factor analysis is established. As a case, the performance of 18 listed companies supplying water and gas in China is selected and evaluated. The case shows that the model is effective and can provide a basis for decision-making for enterprises improving management.

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.

Research on Enterprises Scientific Development Performance Evaluation Model

2011 ◽  
Vol 467-469 ◽  
pp. 1887-1892
Author(s):  
Yun Jiang Geng
Keyword(s):  
Factor Analysis ◽  
Performance Evaluation ◽  
Evaluation Model ◽  
Synthesis Method ◽  
Scientific Development ◽  
Subjective Experiences ◽  
Objective Information ◽  
Model Based ◽  
Performance Evaluation Model ◽  
Original Information

According to the connotation of Scientific Outlook on Development, this paper constructs an enterprises scientific development performance evaluation model based on factor analysis and combination weighting. The innovation points and contributions are in three aspects. First, by evaluating performance from the manpower criterion, the basic idea of Scientific Outlook on Development of people-oriented is reflected. Second, by applying the factor analysis to screen evaluation indicators, fourteen indicators are selected to reflect more than 85% of original information and avoids information duplication and redundancy. Third, by determining the combination weight through multiplicative synthesis method based on G1 and TOPSIS, it fully utilizes experts’ subjective experiences and objective information.

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