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

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.

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Yanyan Xin

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.


2015 ◽  
Vol 6 (2) ◽  
pp. 179-199
Author(s):  
Lindsay A. Chaves-Fernández ◽  
Didier Rojas-Cerdas ◽  
Olga L. Chaves-Carballo

La Escuela de Literatura y Ciencias del Lenguaje de la Universidad Nacional, Costa Rica posee un Bachillerato en la Enseñanza del Inglés, acreditado por SINAES desde el año 2006. Este artículo presenta una investigación acerca del alcance de esta carrera en la preparación adecuada de sus estudiantes. Para realizar esta investigación, los estudiantes de primer ingreso, así como los de cuarto año realizaron una encuesta sobre la acreditación y el plan de estudios, respectivamente. Los resultados muestran que más del 94% de los estudiantes están informados sobre la acreditación, y manifiestan satisfacción con las competencias pedagógicas y lingüísticas adquiridas en su plan de estudios. Los investigadores concluyen que este bachillerato está cumpliendo con los objetivos de mejora permanente que implica tener una carrera acreditada.Abstract The School of Literature and Languages of the Universidad Nacional de Costa Rica has a Bachelor’s Degree in English Teaching, accredited by SINAES since the year 2006. This article presents a research about the scope of this major on the students’ adequate education.  Freshmen students of the major answered a survey related to their awareness regarding the accreditation, and senior students answered a questionnaire about the quality of the major’s curriculum. The results show that over 94% of the students are informed about the accreditation, and express satisfactory feelings about the pedagogical and linguistic competencies acquired in the major. The researchers conclude that this degree is accomplishing the objectives of the ongoing improvement required by SINAES accreditation.Keywords: English teaching, quality, accreditation, curriculum, English teachers.


Author(s):  
Lan-zhong Wang

The purpose of this study is to develop a distance personalized teaching platform. The web data mining is used for the construction of the system and by analyzing the character of web data mining (WDM) and the essence of personalization teaching and instruction, based on WDM, The system contains knowledge base, individual database, WDM and web server four modules. The web data mining is used for the construction of the system and by analyzing the character of web data mining (WDM) and the essence of personalization teaching and instruction. Simulation results show that model has important enlightenment and pushing effect for promoting the individual service and improving teaching quality of modern distance education.


2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Qijun Fu ◽  
Shouzhong Kuang

The analysis of the frontier issues of the English language teaching method in China is of great guidance for English language teaching. Based on the ontology model of English teaching domain, the knowledge map of English teaching in colleges and universities is constructed by fusing heterogeneous English subject data from multiple sources. Firstly, we obtain domain knowledge from relevant websites and existing documents through web crawlers and other techniques and clean the data based on BERT model; then, we use Word2Vec to judge the similarity between the research directions of characters and solve the entity alignment problem; based on the scientific knowledge map theory, we count the frequency of keywords in each year and analyze them to describe the association and union between keywords. It can explain the current situation and trend, rise and fall, disciplinary growth points, and breakthroughs of ELT. Through keyword analysis, the hot issues mainly revolve around ELT, English teaching, college English, grammar-translation method, curriculum reform, and so forth, to realize the quick query and resource statistics of ELT basic data, in order to promote the subsequent English discipline assessment work to be completed more efficiently.


2012 ◽  
Vol 263-266 ◽  
pp. 3466-3469
Author(s):  
Chun Fang Liu ◽  
Yi Biao Sun ◽  
Li Mei Wang

Electrician machine practice is an important engineering practice teaching element in the cultivation plan of undergraduate student of electricity. The task- driven teaching method is adopted in order to improve the quality of practice teaching, and to cultivate the ability of practice and creativity in the electrician machine practice. This paper discusses the mission design and implementation process which based on constructivist task-driven teaching method in the teaching of electrician machine practice, and points out several questions which should be noticed in the practice. The practice approves the application of task- driven teaching method in electrician machine practice can improve the teaching quality through excavating the student’s practice and creativity ability and cultivate the capability of independent thinking ,exploration and reclamation more effectively.


2020 ◽  
Vol 9 (7) ◽  
pp. 160
Author(s):  
Yanjiao Li ◽  
Zhilu Zhang ◽  
Guang Qi ◽  
Huashan Gao

Medicinal botany is a discipline that studies traditional or folk knowledge about the use of plants to prevent and treat diseases, and it is an important part of Chinese medicine learning. Traditional teaching methods do not perform well in the teaching of medicinal plants. Therefore, in order to improve the teaching effect of medicinal botany, teachers need to continuously research and innovate teaching methods to improve the quality of teaching. This article is guided by the PBL teaching method, and studies the application of the PBL teaching method in the teaching of medicinal plants in detail, hoping to improve the learning effect of students and improve the teaching quality of medicinal botany.


2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Lin Shao

As the mixed education model gradually becomes widespread in various universities in Japan, the evaluation of the quality of IT English mixed education has become a very important issue, and it is worth considering the corresponding evaluation method. In this paper, we use a data mining algorithm to implement an evaluation method for the interconversion of quantitative data and qualitative concepts and use the IT English mixed teaching model to evaluate and analyze the teaching quality of the course. The evaluation method is feasible and provides a mixing method. Evaluation of the quality of education. Reference method.


2020 ◽  
Vol 3 (2) ◽  
pp. 83
Author(s):  
Wei Xiong

Under the background of the new era, great changes have taken place in the teaching mode of our country, and all kinds of creative teaching strategies emerge as the times require. In order to construct an efficient classroom and ensure the rational allocation and utilization of teaching resources, teachers must adhere to the central position of students in the process of carrying out classroom teaching practice, clarify the individual differences of students, and fully consider the influencing factors of various details from the point of view of students. In order to better promote the improvement of teaching quality and teaching level, to ensure that every student can learn something, learn to achieve success. However, combined with the relevant practical investigation, it is not difficult to find that long-term examination-oriented education leads to some teaching classics. In the course of carrying out the classroom teaching practice, the teacher who is not under test directly uses the learning of the basic knowledge of the simple theory as the main body, and puts the core energy in the indoctrination and the teaching of the theoretical knowledge, which seriously restricts the individual growth and development of the students, and ignores the individual difference of the students, The result is that the efficiency and quality of the classroom teaching are declining continuously, some of the teaching resources are wasted directly, which is especially obvious in the course of the practice of English teaching in colleges and universities. In this respect, this paper, based on the macroscopic angle, takes the college English teaching as the analysis object, and the relevant strategies and requirements to improve the English teaching quality, with a view to promoting the English teaching in colleges and universities, and provides some reference for the smooth development of teaching practice.


2021 ◽  
Vol 16 (24) ◽  
pp. 177-190
Author(s):  
Xiangpeng Chang

The key performance index (KPI) evaluation provides a guarantee for discipline construction, talent training, and research development and planning in colleges. Based on KPI evaluation model, this paper compares the professional teaching quality of economic management of different types of colleges, different teaching models, and different disciplines, through KPI appraisal. The results show that: teaching quality can be evaluated by several important indices, namely, teaching attitude, teaching content, teaching method, and teaching effect; the most important indices are teaching attitude and teaching content, followed by teaching effect and teaching method. The index scores of professional education mode were much higher than those of general education mode. Teaching effect is the highest rated index among students of accounting, and teaching attitude is the highest rated index among students of business administration. The research results lay the theoretical basis for colleges to improve KPI appraisal system and appraisal supervision system.


2020 ◽  
pp. 1-11
Author(s):  
Huang Wenming

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.


Sign in / Sign up

Export Citation Format

Share Document