scholarly journals Analyzing the Quality of Business English Teaching Using Multimedia Data Mining

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Yanyan Xin
Keyword(s):  
Data Mining ◽  
Quality Evaluation ◽  
Teaching Quality ◽  
Multimedia Data ◽  
Modern World ◽  
Business English ◽  
English Teaching ◽  
Using Data ◽  
Set Up

Data continually act as a substantial role in business and industry for its daily activities to smoothly functional. The data volume is growing with the passage of time and rising of information technology. Using data mining techniques for quality evaluation and business English teaching is essential in the modern world. These technologies are introduced in the classroom, especially in online classes during the COVID-19 pandemic. To analyze the quality of business English teaching, this paper uses multimedia and data mining technologies. Initially, the multimedia data are collected during classes, and the association rule recommendation algorithm using data mining is applied. Based on collaborative filtering algorithms in association rules, indicators for teaching quality evaluation in colleges and universities are set up. Next, the actual teaching data of a university is used. Taking business English as an example, the algorithm that has been built is tested. The application of the algorithm is tested, and the teaching process of College Business English is evaluated. Finally, the conclusion is drawn that data mining technology can describe the behavior of teaching well and evaluate it, and it has the potential of popularization.

scholarly journals Evaluation of Teaching Quality of College Physical Education Based on Analytic Hierarchy Process

2020 ◽  
Vol 15 (10) ◽  
pp. 86
Author(s):  
Ke Han
Keyword(s):  
Quality Evaluation ◽  
Evaluation Model ◽  
Teaching Quality ◽  
Grey System ◽  
Analytic Hierarchy ◽  
Evaluation Systems ◽  
Evaluation Of Teaching ◽  
Set Up ◽  
Hierarchy Process

There are many difficulties in the evaluation of the teaching quality of phys-ical education (PE) in colleges: the evaluation factors are complicated, the evaluation systems are incomplete, and the evaluation methods are not com-prehensive enough. To overcome these difficulties, this paper introduces an-alytic hierarchy process (AHP) to the evaluation of PE teaching quality in colleges. Firstly, the authors identified the influencing factors of PE teaching in colleges today. Next, an index system was established for the evaluation, and an evaluation model was set up based on the AHP and grey system theo-ry (GST). Finally, our method was proved feasible through example analysis. The research results provide new insights on the application of state-of-the-art theories in quality evaluation of higher education.

Research on Teaching Quality Evaluation Using Data Mining Technique

2014 ◽  
Vol 926-930 ◽  
pp. 4582-4585
Author(s):  
Ai Feng Li ◽  
Ying Hu ◽  
Wen Jing Zhao
Keyword(s):  
Data Mining ◽  
Decision Tree ◽  
Association Rule ◽  
Quality Evaluation ◽  
Teaching Quality ◽  
Data Mining Technique ◽  
Higher Education System ◽  
Potential Factors ◽  
Rule Method ◽  
Using Data

—In this paper, we employ data mining (DM) technique to analyze various potential factors which impact the in-class teaching quality evaluation. Based on an effective dataset, we first exploit association rule method to mine the relationship between the teacher’s attributions, such as title, degree, age, seniority, and load, and the in-class teaching quality evaluation results. Then, we construct the decision tree of course’s attributions to reveal how the course’s attributions, such as property, credit, week hour, and number of students, impact the in-class teaching quality evaluation results. Our mined rules can provide effective guidance to talent development, teaching management, and input of talent in higher education system. Index Terms—data mining, decision tree, association rule, teaching quality evaluation

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.

Simulation of English teaching quality evaluation model based on gaussian process machine learning

2020 ◽  
pp. 1-11
Author(s):  
Huang Wenming
Keyword(s):  
Machine Learning ◽  
Gaussian Process ◽  
Quality Evaluation ◽  
Evaluation Method ◽  
Learning Algorithm ◽  
Teaching Quality ◽  
Distribution Characteristics ◽  
English Teaching ◽  
Traditional Evaluation

The efficiency of traditional English teaching quality evaluation is relatively low, and evaluation statistics are very troublesome. Traditional evaluation method makes teaching evaluation a difficult project, and traditional evaluation method takes a long time and has low efficiency, which seriously affects the school’s efficiency. In order to improve the quality of English teaching, based on machine learning technology, this study combines Gaussian process to improve the algorithm, use mixed Gaussian to explore the distribution characteristics of samples, and improve the classic relevance vector machine model. Moreover, this study proposes an active learning algorithm that combines sparse Bayesian learning and mixed Gaussian, strategically selects and labels samples, and constructs a classifier that combines the distribution characteristics of the samples. In addition, this study designed a control experiment to analyze the performance of the model proposed in this study. It can be seen from the comparison that this research model has a good performance in the evaluation of the English teaching quality of traditional models and online models. This shows that the algorithm proposed in this paper has certain advantages, and it can be applied to the practice of English intelligent teaching system.

Intelligent Data Mining based Method for Efficient English Teaching and Cultural Analysis

2022 ◽  
Vol 13 (2) ◽  
pp. 0-0
Keyword(s):  
Data Mining ◽  
Online Education ◽  
Teaching Method ◽  
Teaching Quality ◽  
Cultural Analysis ◽  
English Text ◽  
English Teaching ◽  
English Grammar ◽  
Syntactic Features

The emergence of online education helps improving the traditional English teaching quality greatly. However, it only moves the teaching process from offline to online, which does not really change the essence of traditional English teaching. In this work, we mainly study an intelligent English teaching method to further improve the quality of English teaching. Specifically, the random forest is firstly used to analyze and excavate the grammatical and syntactic features of the English text. Then, the decision tree based method is proposed to make a prediction about the English text in terms of its grammar or syntax issues. The evaluation results indicate that the proposed method can effectively improve the accuracy of English grammar or syntax recognition.

scholarly journals An English Teaching Ability Evaluation Algorithm Based on Frequency Effect

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Lan Xu
Keyword(s):  
Evaluation System ◽  
Quality Evaluation ◽  
Teaching Quality ◽  
Frequency Effect ◽  
English Teaching ◽  
Teaching Objectives ◽  
Teaching Ability ◽  
Evaluation Algorithm ◽  
Ability Evaluation

Background. English is one of the courses offered in all colleges and universities. The quality of English teaching is directly related to the quality of talent training and the development of students themselves. “Teaching quality evaluation” specifically refers to the education evaluation with teaching as the evaluation object. It is the core and foundation of the whole education evaluation. Teaching quality evaluation is based on certain teaching objectives and teaching norms and standards, through the systematic detection and assessment of teaching and learning. Evaluate its teaching effect and the degree of realization of teaching objectives, and use scientific and feasible methods to make corresponding value judgments to improve the process of teaching. To improve the accuracy of English teaching ability evaluation, an English teaching ability evaluation algorithm based on frequency effect is proposed. Methods. The paper proposes an English teaching ability evaluation algorithm based on frequency effect. Firstly, it constructs the evaluation index system of English teaching ability, including expert evaluation system, student evaluation system, and teacher evaluation system. Then, the indexes affecting the evaluation of English teaching ability are quantified by fuzzy synthesis, and the evaluation indexes are refined. Finally, the basic principle of frequency effect is analyzed, combined with the convolutional neural network. Results. The convolutional neural network evaluation model is constructed, the teaching ability indicators are input into the model, the final evaluation results are output, and the design of the English teaching ability evaluation algorithm based on frequency effect is completed. Conclusions. The experimental results show that this method has high accuracy and efficiency.

scholarly journals Design of Decision Support System for Distance Learning Based on Data Mining

CONVERTER ◽  
2021 ◽  
pp. 133-145
Author(s):  
Chen Shao, Xiaochen Chen
Keyword(s):  
Data Mining ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Quality Evaluation ◽  
Evaluation Model ◽  
Teaching Quality ◽  
Distance Teaching ◽  
The Stability

Since the existing system cannot assess the quality of distance education, the credibility and efficiency of decision support results are low, and the stability of the system is also poor. Combined with data mining technology, a remote learning decision support system based on data mining is designed and proposed. First, the actual situation of each university is analyzed, the system is designed in combination with the B/S architecture, and the various components of the system are described in detail. Then, the C4.5 algorithm of the decision tree algorithm is used to establish a distance teaching quality evaluation model, and the corresponding classification rules are extracted to effectively realize the teaching quality evaluation. Finally, a simulation test is carried out. The experimental results show that the designed system can comprehensively improve the stability and execution efficiency of the system, enhance the credibility of decision support results, and have certain practical applicability.

scholarly journals Using Data Mining to Analyze Dwell Time and Nonstop Running Time in Road-Based Mass Transit Systems

Proceedings ◽  
2018 ◽  
Vol 2 (19) ◽  
pp. 1217
Author(s):  
Teresa Cristóbal ◽  
Gabino Padrón ◽  
Alexis Quesada ◽  
Francisco Alayón ◽  
Gabriel de Blasio ◽  
...  
Keyword(s):  
Data Mining ◽  
Travel Time ◽  
Dwell Time ◽  
Mass Transit ◽  
Transit Systems ◽  
Running Time ◽  
Bus Stop ◽  
Transport Line ◽  
Using Data

Travel Time plays a key role in the quality of service in road-based mass transit systems. In this type of mass transit systems, travel time of a public transport line is the sum of the dwell time at each bus stop and the nonstop running time between pair of consecutives bus stops of the line. The aim of the methodology presented in this paper is to obtain the behavior patterns of these times. Knowing these patterns, it would be possible to reduce travel time or its variability to make more reliable travel time predictions. To achieve this goal, the methodology uses data related to check-in and check-out movements of the passengers and vehicles GPS positions, processing this data by Data Mining techniques. To illustrate the validity of the proposal, the results obtained in a case of use in presented.

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 The Current Situation and Prospect Of Study Quality Evaluation Research in China in The Last 10 Years

2020 ◽  
Vol 2 (1) ◽  
pp. 101-112
Author(s):  
Wu Aixia ◽  
Zhou Ying ◽  
Tommy Tanu Wijaya
Keyword(s):  
Quality Evaluation ◽  
Evaluation Research ◽  
Teaching Quality ◽  
Current Situation ◽  
Annual Number ◽  
Future Research ◽  
Existing Problems ◽  
Content Analysis Method ◽  
Future Research Directions

With the deepening of China's educational reform, the evaluation of teaching quality has become an important aspect of teaching reform.And the evaluation of students'learning quality is an important part of teaching evaluation. Research on it will help to improve the teaching quality of our country and promote the overall improvement of students' morality, intelligence, physical fitness and beauty.Therefore, this study takes 108 literatures related to the study of learning quality evaluation in China as the research object, uses content analysis method, carries out statistical analysis on the annual number of literatures, Journal distribution, author status, paper influence, research content, etc., analyzes the current situation and existing problems of the study of learning quality evaluation in China, and puts forward the need for further deepening.On the basis of these questions, possible future research directions are proposed.

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