scholarly journals A Fuzzy Logic and Multilevel Analysis-Based Evaluation Algorithm for Digital Teaching Quality in Colleges and Universities

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Zhong Han
Keyword(s):  
Quality Assessment ◽  
Multilevel Analysis ◽  
Quality Evaluation ◽  
Evaluation Method ◽  
Teaching Quality ◽  
Colleges And Universities ◽  
Tree Model ◽  
Assessment Index ◽  
Structure Tree ◽  
Evaluation Algorithm

To address the limitations of the university digital teaching quality assessment algorithms as well as the large evaluation mistakes in the existing algorithms, this paper presents a unique university digital teaching quality evaluation method based on multilevel analysis. First, the existing state of digital teaching quality evaluation in colleges and universities is studied to develop an evaluation index for digital teaching quality. Then, to identify and compute the weight of digital teaching quality indicators, an index weight evaluation matrix is built and the weight of digital teaching quality assessment indicators is plotted using a multilevel structure tree model. Then, from the top to the bottom of the tree, this paper computes the hierarchical ranking of assessment indicators. Additionally, this paper computes the membership degree of index evaluation, normalises the evaluation indicators, and completes the digital teaching quality assessment with the digital teaching confidence calculation. The experimental results demonstrate that the proposed method’s digital teaching quality assessment index has a high degree of accuracy and low evaluation error.

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.

The Application Research in the Evaluation of Sports Teaching Quality Based on the Analytic Hierarchy Process

2012 ◽  
Vol 155-156 ◽  
pp. 143-147
Author(s):  
Xian Feng Wang ◽  
Xiang Qi Wang
Keyword(s):  
Analytic Hierarchy Process ◽  
Quality Assessment ◽  
Evaluation Method ◽  
Weight Coefficient ◽  
Teaching Quality ◽  
Analytic Hierarchy ◽  
School Sports ◽  
The Analytic Hierarchy Process ◽  
The Mathematical Model ◽  
Hierarchy Process

The sports teaching quality assessment is a regular schools of higher learning education evaluation of a part, is promoting sports course building and improve the quality of education is an important measures. The current stage of evaluation method is uneven, so need to build a simple and effective, scientific and reasonable evaluation methods to measure the school sports teaching quality. The article to the analytic hierarchy process in the sports teaching the application of quality evaluation carried on the preliminary discussion, put forward the sports teaching quality hierarchical system, and establish the teaching quality assessment of the mathematical model, through the weight coefficient of each index system, more scientific and objective to evaluate teaching quality, easy operation, which is of great use value.

scholarly journals Quality Evaluation Method of a Mathematics Teaching Model Reform Based on an Improved Genetic Algorithm

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Yun Yang
Keyword(s):  
Genetic Algorithm ◽  
Mathematics Teaching ◽  
Quality Evaluation ◽  
Evaluation Method ◽  
Teaching Quality ◽  
Teaching Model ◽  
College Mathematics ◽  
Improved Genetic Algorithm ◽  
Training Process ◽  
Convolutional Network

The poor comprehensiveness of the evaluation indexes of quality evaluation methods for the traditional college mathematics teaching model reform results in low accuracy of the evaluation outcomes. In this paper, aiming at this problem, a quality evaluation method for the college mathematics teaching model reform, based on the genetic algorithm, is proposed. The simulated annealing algorithm uses the weighted comprehensive objective evaluation multiobjective optimization effect that can effectively improve the accuracy of the evaluation results. In the training process, the gradient descent back-propagation training method is used to obtain new weights for the quality evaluation of college mathematics teaching mode reforms and to score various indicators and evaluate the indicators. The mean value of the outcomes is the result of mathematics teaching quality evaluation. The experimental results show that the training error of the convolutional network of the proposed method is significantly small. Based on the genetic algorithm that improves the convolutional network training process, the obtained quality evaluation outcomes are higher in accuracy, better in goodness of fitness function, and considerably lower than other state-of-the-art methods. We observed that the improved genetic algorithm has a more than 90% goodness of fit and the error is significantly lower, that is, 0.01 to 0.04, than the classical genetic algorithm.

scholarly journals Teaching Quality Evaluation and Scheme Prediction Model Based on Improved Decision Tree Algorithm

2018 ◽  
Vol 13 (10) ◽  
pp. 146 ◽  
Author(s):  
Sujuan Jia ◽  
Yajing Pang
Keyword(s):  
Decision Tree ◽  
Quality Evaluation ◽  
Computation Time ◽  
Teaching Quality ◽  
Quality Data ◽  
Decision Tree Algorithm ◽  
Tree Model ◽  
Tree Algorithm ◽  
Higher Education System ◽  
C4.5 Decision Tree

Vast data in the higher education system are used to analyse and evaluate the teaching quality, so that the key factors that affect the quality of teaching can be predicted. Besides, the learner’s personalized behaviour can also become the data source for teaching result prediction. This paper proposes a decision tree model by taking the teaching quality data and the statistical analysis results of the learn-er’s personalized behaviour as inputs. This model was based on the improved C4.5 decision tree algorithm, which used the FAYYAD boundary point decision theorem for effectively reducing the computation time to the most threshold. In this algorithm, the iterative analysis mechanism was introduced in combination with the data change of the learner’s personalized behaviour, so as to dynamically adjust the final teaching evaluation result. Finally, according to the actual statisti-cal data of one academic year, the teaching quality evaluation was effectively completed and the direction of future teaching prediction was proposed.

Research on Evaluation and Analysis Model of Business English Teaching Based on Fuzzy Comprehensive Judgment

2014 ◽  
Vol 644-650 ◽  
pp. 5611-5614
Author(s):  
Chun Hua Mao
Keyword(s):  
Quality Evaluation ◽  
Subjective Experience ◽  
Evaluation Method ◽  
Expert Knowledge ◽  
Teaching Quality ◽  
Classroom Teaching ◽  
Traditional Teaching ◽  
Business English ◽  
English Teaching ◽  
Comprehensive Judgment

Compared with the traditional teaching quality evaluation method, Fuzzy Comprehensive Judgment Model. Business English classroom teaching evaluation is an important part of English teaching quality management in institutions of higher learning, and it is of vital significance for us to improve the quality of foreign language teaching. Compared with the traditional teaching quality evaluation method, fuzzy comprehensive judgment Model, based on expert knowledge and subjective experience, can use mathematical methods with rigorous logic to remove subjective elements as much as possible, and to reasonably determine the evaluation index weight; it may take advantage of scientific quantitative methods to characterize the qualitative issues in classroom teaching qualitative evaluation, so that the qualitative and quantitative analysis can get a better integration, which helps to overcome the subjective arbitrariness in English teaching quality evaluation, thus improving the reliability, accuracy and impartiality of the fuzzy comprehensive evaluation.

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