scholarly journals Study on Evaluation System of Style Construction of Leading Cadres in Colleges and Universities

2021 ◽  
Author(s):  
Yang Minjie ◽  
Shi Chao
Keyword(s):  
Evaluation System ◽  
Colleges And Universities ◽  
Leading Cadres

scholarly journals Research on the Evaluation Index System and the Grey Clustering Analysis Model of Teaching Quality of Physical Education in Higher Education

2015 ◽  
Vol 10 (8) ◽  
pp. 59 ◽  
Author(s):  
Baoquan Wu
Keyword(s):  
Physical Education ◽  
Clustering Analysis ◽  
Evaluation System ◽  
Quality Evaluation ◽  
Teaching Quality ◽  
Colleges And Universities ◽  
Evaluation Index System ◽  
Analysis Model ◽  
Grey Clustering

Teaching quality evaluation of physical education usually involves multiple influence factors with grey and uncertain information. This brings about limitations to effective evaluation of teaching quality of physical education in colleges and universities. Thus, this paper draws merits from previous research and proposes a teaching quality evaluation system and model of physical education in colleges and universities. First, based on real situations, grey categories of evaluation state for physical education teaching quality are established. The definite weighted functions of grey category of evaluation state are confirmed. Specific steps of the teaching quality evaluation model based on grey clustering analysis are accounted for. Finally, a case study is introduced to verify the model. This model enlightens a new way to evaluate teaching quality of physical education in colleges and universities.

scholarly journals Research On The Construction Path And Evaluation System Of "Ideological And Political Course" Of Management Specialty In Applied Colleges And Universities Under The Background Of Internet

2021 ◽  
Vol 236 ◽  
pp. 05044
Author(s):  
Xiaoyun Duan ◽  
Xiang Gao ◽  
Shuchen Yang
Keyword(s):  
Evaluation System ◽  
Colleges And Universities ◽  
Internet Technology ◽  
Traditional Teaching ◽  
Economic Management ◽  
Healthy Development ◽  
Information Construction ◽  
Internet Platform ◽  
Teaching Thinking ◽  
Good Environment

The rise of Internet technology brings opportunities for the development of various industries in China, and creates a good environment for the information construction and the innovation and cultivation of talents in colleges and universities. Although Internet technology has changed the traditional teaching thinking and mode, under the background of "Internet ", the openness of information, the diversity of culture and the contradiction between various trends of thought make students' moral understanding and ideas face severe challenges. The major of management is mainly to train professionals who meet the needs of market economy and adapt to the development of modernization. They should not only master the professional knowledge of economic management, but also have the ability and comprehensive accomplishment to engage in practical financial work. Therefore, the applied colleges and universities should take the Internet platform as the opportunity to explore the construction path and evaluation system of college students' ideology and morality, and create an environment for the healthy development of students.

Artificial intelligence with fuzzy logic system for learning management evaluation in higher educational systems

2020 ◽  
pp. 1-11
Author(s):  
ZhiYuan Lv ◽  
Hengyun Shen
Keyword(s):  
Artificial Intelligence ◽  
Mathematical Model ◽  
Fuzzy Logic ◽  
Evaluation System ◽  
Learning Experience ◽  
Training Model ◽  
Colleges And Universities ◽  
Teaching Evaluation ◽  
Higher Learning ◽  
The Mathematical Model

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.

scholarly journals Evaluating the Quality of Internet-Based Education in Colleges Using the Regression Algorithm

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Xuan Zhang
Keyword(s):  
Evaluation System ◽  
Quality Evaluation ◽  
Colleges And Universities ◽  
Education Quality ◽  
The Internet ◽  
Online Classes ◽  
Grey Prediction ◽  
Internet Education ◽  
Overall Evaluation

An efficient and effective mechanism is required for quality education in schools, colleges, and universities. After the pandemic worldwide, every organization worked online from home instead of on the site. The educational institutes started online classes using various platforms. The quality of education using online classes is affected by numerous factors, including hardware, software, and the internet. Therefore, in this paper, the quality evaluation of internet education using a regression algorithm is proposed. The proposed system optimizes the hardware design and functions of the client end of the internet education of colleges and universities. It determines the time response data sequence of the grey prediction model and ensures that the proposed scheme’s prediction accuracy is high. By adopting the logistic regression, the rules for the overall evaluation of the education quality are formulated. The database of the rules for the overall evaluation of the education quality of the internet of colleges and universities is generated. Experimental results show that the response time of the education quality evaluation system is about 1.3 sec. The probability of failure is very low than the existing literature.

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