scholarly journals EL EFECTO DE LA CALIDAD EN UN PROGRAMA DE ESTUDIO ACREDITADOS: CASO DEL BACHILLERATO EN LA ENSEÑANZA DEL INGLÉS EN LA UNIVERSIDAD NACIONAL, COSTA RICA

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.

2014 ◽  
Vol 1 (2) ◽  
pp. 119-134 ◽  
Author(s):  
Maulidia Rachmawati Nur ◽  
Ahmad Madkur

Curriculum is undoubtedly an inseparable part of education. In Indonesia, education curriculum has already undergone several changes. Among others, the newly introduced and implemented one is called Curriculum 2013 (K-13). Involving a “scientific approach”, this curriculum is expected to answer both the needs and the challenges to improve the quality of education in Indonesia. Nevertheless, the implementation of this curriculum gives birth to some pros and cons. The present paper is aimed at providing a picture of challenges, opportunities and teachers’ perception on the use of this curriculum in English teaching. The data were collected through in-depth interview to six English teachers in six pilot schools in Bogor and Lampung. The analysis shows that most teachers accepted the curriculum. However, according to them, the curriculum should be evaluated and further developed.


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.


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.


2020 ◽  
Vol 10 (6) ◽  
pp. 664
Author(s):  
Yuanfei Yao

In A Brief Analysis of Yuxi Dialect, Fu Chang makes a detailed explanation on dialects’ features and the value of its study. In The General Received Pronunciation of British English by Fengtong Chang, the author dealt with reasons why London English became standard English, and also elaborated on consonants and vowels in British English. Up to today no one has ever made a contrast between the two languages and further diminished the interference from dialect in English pronunciation learning of the Yuxi students. This paper is designed to make a contrast between the two languages: Yuxi dialect in Zhoucheng and Received Pronunciation; as well as the differences between their consonants and vowels respectively can be achieved to rectify the pronunciations’ deviation in English learning. It is intended to improve English teaching quality of Yuxi dialect speakers and enhance the pronunciation standardization of English there.


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.


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. 1-10
Author(s):  
Lan Xu

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.


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