Oral English Training Research Articles

Main Causes and Corresponding Strategies of “Dumb English” Phenomenon among Secondary School Students in Mainland China: A Review of Relevant Research Findings

This paper reviews selected literature published since 2000 to explore the increasing concern among scholars and educators in Mainland China, regarding the phenomenon of “dumb English” among secondary school students. Existing research primarily analyses the main causes of “dumb English” from the perspectives of deficiencies in English teaching in rural areas, the absence of native language culture in English instruction, deviations in students’ focus during oral English training, and psychological factors, etc. Corresponding strategies have been proposed to address these issues. Future research could focus on adjusting and optimizing the traditional English teaching models and evaluation systems in secondary school classrooms.

RESEARCH ON THE IMPLEMENTATION AND PRACTICE OF WECHAT PUBLIC PLATFORM TEACHING RESOURCES BASED ON PSYCHOLOGICAL AND EMOTIONAL REGULATION — TAKING PRIMARY SCHOOL FOREIGN LANGUAGE (ENGLISH) CURRICULUM AS AN EXAMPLE

BackgroundNowadays, wechat applications are very popular in China. Through the text, pictures, sound and video on the wechat official account platform, all-round communication between individuals and between individuals and the media has been realized. Wechat official account platform is an important functional module of wechat application. On this platform, enterprises and individuals can create an official account to communicate and interact with specific users. Its forms of communication and interaction are very diverse, including text, sound, pictures, pictures, text messages and videos. This paper applies the wechat official account platform to foreign language (English) teaching for primary school students. Developed foreign language (English) learning resources suitable for wechat official account platform.Subjects and Methods330 public primary school teachers were investigated by stratified sampling, including the experimental primary school in F City, the First Affiliated Primary School of s Normal University and the experimental primary school in district a of F City. From the deep understanding of the wechat official account platform, the strong support for the wechat official account platform, the diverse forms of the wechat official account platform, the diverse contents of the wechat official account platform, and the diversity of the wechat official account platform, we conducted a questionnaire survey, and realized the implementation of the wechat official account and the practical teaching resource platform from the perspective of psychology. In addition, the study also found that foreign language anxiety was negatively correlated with foreign language achievement. Similarly, there is a significant negative correlation between foreign language anxiety and self-efficacy. State anxiety, trait anxiety and foreign language learning anxiety are all positively correlated. The “anxiety” component of learners' personality characteristics plays a great role in the generation of foreign language learning anxiety. The correlation coefficient between LCAS and trait anxiety was 0.408, while the correlation coefficient between LCAS and state anxiety was 0.395. Both reached a significant level (P < 0.01). Self efficacy is positively correlated with foreign language achievement. Research shows that foreign language anxiety, gender and self-efficacy can be used as comprehensive variables to measure foreign language learning achievement.ResultsBased on the teaching concept of “teacher led and student-centered”, the traditional classroom teaching and network assisted learning were combined. Through the primary school foreign language (English) learning resource platform based on wechat official account platform \\ primary school foreign language (English) reading resource platform based on wechat official account platform \\ primary school foreign language (English) counseling and Q & a platform based on wechat official account platform, Let students realize resource-based autonomous learning in order to achieve the best effect of foreign language learning.ConclusionFrom the survey data, the teachers of the surveyed schools have realized the advantages of oral English teaching on wechat public platform. Wechat public platform has built a bridge for communication between teachers and students and realized free dialogue between teachers and students. Therefore, the platform has become an oral English training base. Carry out students' English teaching and develop English learning resources suitable for wechat public platform. Based on the concept of “double master”, these two teaching methods are combined with traditional classroom teaching and network assisted learning. Based on wechat public primary school English learning resource platform, wechat public primary school English reading resource platform or wechat public primary school English counseling platform, let primary school students realize autonomous learning and optimize primary school English learning.AcknowledgementsThis project is supported by Zhejiang Industry-Education Integration Engineering Base (Zhejiang Development and Reform Commission society [2020] No. 319).

Interactive Design of Online Oral Training in University English Teaching

Traditionally, asynchronous discussion group is used to realize the interaction of online oral English training in university English teaching, which lacks the training process of reading, listening and speaking skills. This paper puts forward a new interactive design method of online oral English training in university English teaching, which integrates reading, listening and speaking skills with the “integrated task” teaching model and closely combines the input and output process. The instructional design and implementation of LGD online oral training based on CLA model are adopted to realize the interaction of online spoken English training in university English teaching. The experimental results show that the proposed method is more direct and efficient in interaction. There is a significant difference between formal practice strategy R1 and R2 (P&lt;0.001) after the proposed method is used in oral English training, which indicates that the proposed method can improve the overall level of university oral English communicative competence and the interaction performance is good.

Research on the Construction of English Autonomous Learning Model Based on Computer Network-Assisted Instruction.

As a supplement to traditional teaching methods, computer-assisted teaching methods can reflect modern educational concepts, such as creating student-led, teacher-led environments. The goal of college English education is to enable them to communicate effectively in English in their future academic, work, and social interactions, while also developing students' self-learning skills. Chinese society improves overall cultural competence and adapts to the needs of international communication. Self-directed learning is not static and will increase or decrease with time, discipline, and conditions and is an evolving process. Understanding learning, taking responsibility for one's own learning, and learning how to learn are all beneficial. Students abound in school life and even throughout their lives. In this paper, we try to propose a computer-based method for constructing an independent English learning model based on a practical study of computer network technology for the development of self-learning ability of non-English majors in a university. This paper uses comparative analysis techniques to compare traditional paper-and-pencil examinations and computer-based online evaluations and analyzes the effects of each. The survey showed that 81% of the students preferred the computer-based assessment. Therefore, the focus of this research is to strengthen the oral English training in college and create an authentic English learning environment for students to really feel the standard English pronunciation, intonation, and knowledge of grammar, listening, reading, writing, and translation.

The Application of Multimedia Assisted Teaching in Distance Learning: Taking the Oral English Training Program for Fifth Grade Students as an Example

The Application of Multimedia Assisted Teaching in Distance Learning: Taking the Oral English Training Program for Fifth Grade Students as an Example

An Improved BP Deep Neural Network Multimedia Used in Oral English Training

In order to improve the effect of spoken English training, this paper combines multimedia information technology to reform the teaching of spoken English training, and integrates BP neural network English into spoken English training. Moreover, this paper combines the actual needs of spoken English training and the teaching framework of the multimedia system to construct the data set, clean up the data set, and implement the word vector representation of students and professionals. In addition, this paper constructs the entire system framework of the spoken English resource recommendation algorithm based on the graph convolutional neural network, and combines the BP deep neural network algorithm to construct the spoken English training system. Finally, this paper designs an experiment to evaluate the effect of this system. The experimental research results show that the multimedia based on the BP deep neural network proposed in this paper has a good effect in the application research of spoken English training, and can effectively promote the effect of spoken English training of students.

Providing in-service online language training for primary teachers of English as a Foreign Language

Abstract This report assesses the use of a Moodle Learning Management System (LMS) to provide an in-service language training programme for English as a Foreign Language (EFL) teachers in a primary school in Shanghai, China. The 12-month oral English training programme featured unique in-depth university-school collaborations, tiered project management and flexible self-directed learning experiences by the participants. This programme was a piloting project aimed at exploring an effective way of workplace language training and usefulness of Moodle-LMS’ potential in providing a flexible and interactive learning environment for training primary school language teachers.

Design of Oral English Training System Based on Big Data Content Recommendation Algorithm

Collaborative filtering is the most widely used and successful recommendation technology in recommendation systems. In view of the problem that the effect of collaborative filtering technology depends on an accurate similarity measurement method and its poor scalability can not deal with big data, in the information age of computer development, all undertakings are developing rapidly. English has long been an important tool for people to communicate with each other, but due to the limitation of learning mode and environment, the level of Chinese oral English is generally low. The cloud computation-based oral English learning system is designed. Users can learn oral English knowledge, simulate oral English testing and establish exclusive dictionaries through mobile terminals. According to the specific learning situation of Chinese English learners, a flexible and expandable virtual interactive platform is constructed through virtual technology and artificial intelligence, and multi-dimensional virtual scenes and intelligent AI roles are designed to realize the communication and learning of AI roles in different scenarios and improve learners' oral ability and language sense knowledge. However, compared with the traditional self-help learning method, there are huge changes. Our modern English self-help learning has basically got rid of the limitation of paper books, and most of it is carried out through the computer network.

Multimedia Network English Reading Teaching Model Based on Speech Recognition Confidence Learning Algorithm

With deepening internationalization, English has become an increasingly important communication tool. Because traditional English teaching has short teacher-student interaction time, lack of oral English training environment, and single learning method, the oral English teaching is not ideal, and the students’ “speaking” confidence is insufficient. Aimed at addressing the exposed problems of traditional English reading teaching, this paper proposes a multimedia-based English reading teaching mode. On this basis, establish a voice recognition phoneme network grid to detect the recognition results. Secondly, the lattice is used to generate the confusion network mesh, and the acoustic posterior probability is calculated. Then, the feature vector is input into the SVM classifier for confidence mark, and finally the feature is extracted by principal component analysis. The research shows that multimedia network teaching can teach more vividly, increasing the initiative of students. At the same time, it is shown that the speech recognition confidence learning algorithm can improve the language learning system.

Research and Application of Computer Artificial Intelligence Technology in Machine Pronunciation

The traditional oral English training system uses a layered training strategy, which cannot meet the system performance design requirements. For this reason, the thesis designs a computer artificial intelligence system for oral English training based on human-computer interaction. The system hardware structure is composed of C8051F021 single chip microcomputer, LM317 chip, LM337 chip, A/D chip and IN5822 diode, which is used to reliably control the sampling frequency of the chip. At the same time, the paper introduces Sugeno points to realize the correct evaluation of spoken pronunciation. First, the randomness of natural language pronunciation and the instability of the speech processing system are modeled by fuzzy measure and credibility, and then they are integrated into the Sugeno integration framework to evaluate the language score instead of the specific score. The experimental results prove the credibility and stability of the evaluation model in closed and open tests.

Optimization of Intelligent English Pronunciation Training System Based on Android Platform

Oral English, as a language tool, is not only an important part of English learning but also an essential part. For nonnative English learners, effective and meaningful voice feedback is very important. At present, most of the traditional recognition and error correction systems for oral English training are still in the theoretical stage. At the same time, the corresponding high-end experimental prototype also has the disadvantages of large and complex system. In the speech recognition technology, the traditional speech recognition technology is not perfect in recognition ability and recognition accuracy, and it relies too much on the recognition of speech content, which is easily affected by the noise environment. Based on this, this paper will develop and design a spoken English assistant pronunciation training system based on Android smartphone platform. Based on the in-depth study and analysis of spoken English speech correction algorithm and speech feedback mechanism, this paper proposes a lip motion judgment algorithm based on ultrasonic detection, which is used to assist the traditional speech recognition algorithm in double feedback judgment. In the feedback mechanism of intelligent speech training, a double benchmark scoring mechanism is introduced to comprehensively evaluate the speech of the speech trainer and correct the speaker’s speech in time. The experimental results show that the speech accuracy of the system reaches 85%, which improves the level of oral English trainers to a certain extent.

The Analysis on the Approach to Cultivate the Oral Expression Abilities in Preschool English Teaching

With the deepening of the research on the physical and mental development of preschool children and English teaching, more attention is paid to preschool education in China, and the social culture is also changing quietly. The oral English ability of children has become the focus of the educational department and society. All kinds of colleges and universities actively optimize English courses, pay attention to the standard and fluency of oral expression of students majoring in preschool education, and cultivate their oral expression skills and qualities. However, the quality of the English teaching of preschool majors is not satisfactory. Based on this, this paper, based on the analysis of the current situation of oral English training in preschool education, explores the effective ways to cultivate students' oral English ability in preschool education.

Research on Oral English Teaching System Based on VR in the Background of AI

2016 is a year when AI (Artificial Intelligence) technology has made a significant breakthrough. The language service products of AI and VR (virtual reality) technology are increasingly appearing in the commercial market, which has brought a huge impact on the language service industry. Based on the analysis of the current principles and development status of the language service products of artificial intelligence and VR (virtual reality), this paper attempts to explore the enlightenment of new technology to language service, especially in oral English teaching, while oral English Corpus needs to be built. This research designs a set of oral English training system based on artificial intelligence and VR (virtual reality) technology, which makes oral English teaching conform to the requirements of the times. The research result is that it can improve the efficiency of oral English training.

A Study on Oral English Training of Hotel Service Personnel under the Background of Hainan Free Trade Port Construction

A Study on Oral English Training of Hotel Service Personnel under the Background of Hainan Free Trade Port Construction

An Interactive Oral Training Platform Based on Kinect for EFL Learning

Nowadays, the emphasis of domestic oral English teaching is on grammar and pronunciation. Although many achievements have been made and theories have been established in this field, there are still some deficiencies in such traditional methodologies. Because of the lack of corresponding technologies and practices, few explorations have been made in how to make communication more effective and accurate by both verbal and nonverbal means such as facial expressions and gestures. It is not difficult to understand why the Chinese learners give native speakers the expression that they are dull and uninterested. For the aforementioned problems, in this paper, characterizing a combination of the latest biometric technology (recognition of voices, facial expressions and body movements) and Kinect, an interactive oral English training platform is designed. This platform targets training students' not only verbal but also nonverbal language abilities including pronunciation, intonation, especially facial expressions, body languages. With the evaluation of the practical application of the platform, it proves to be an effective way of improving their overall oral English abilities.

An Introduction to Spoken English in Colleges and Universities

The principal objective of Oral English teaching in college is to foster students’ ability of the oral expression and social intercourse. Therefore, the improvement of oral English teaching has been an essential part of college English teaching. College English teachers should put emphasis on oral training and promoting vocabulary accumulation. A Student-centered teaching structure can stimulate expressionism of the youth students and then make oral teaching diversity. This article makes an analysis on college crisis of oral English teaching and put forward five countermeasures for improvement of oral English teaching in college. At the present, the chief problem of English teaching in China lies in mute English which trained people with good scores but low qualities. Students start learning English mostly from their middle or even primary school until they enter into college. However, even more than ten years of study turned people failed to smoothly express in English. The reason is that teachers excessively focus on skills for examination and language itself, and take no account of the training of oral ability. In view of the penetrating knowledge on language intercommunication home and abroad, oral English training has becoming a crucial and constituent part of English teaching in college.

Oral English training system based on speech recognition technology

Many applications of computer-aided language learning system lack of evaluation and feedback of learning speech.An oral English training system was described.Besides normal speech evaluation,error detection based on phoneme alignment and phoneme recognition was provided.Recommendations for improvement queried from correction knowledge base and prosody modified speech offer learners a timely help.The experimental results show that most mistakes made unconsciously by high-level 2nd language speakers can be corrected by this system.