College English Teaching Mode Research Articles

A Study on Students’ Autonomous Learning Ability Based on Network Multimedia English Teaching Mode

The effective integration of network multimedia technology and educational and teaching activities is an inevitable requirement to improve the quality of education and teaching at present. The current application of network multimedia technology in English teaching makes its teaching mode diversified under the influence of multimedia technology and communication. Moreover, the application of media technology is helpful for teachers to help students build autonomous learning situations, which is of great significance to enhance students’ autonomous ability. Together with the characteristics of network multimedia, the college English teaching mode should be changed by making full use of the characters of vivid, intuitive and interactive advantages of network multimedia technology to strengthen students’ autonomous learning ability, to stimulate and help students to accumulate interest in English learning, to guide students to master certain English learning strategies, to establish a learning database, to organize cooperative learning and to carry out various evaluation methods.

Study and Practice of Blended College English Teaching Mode in Application-oriented Undergraduate Colleges under the Background of New Liberal Arts

Under the background of new liberal arts construction, in order to cultivate compound and innovative talents with all-round development of knowledge, ability and quality, college English teaching in application-oriented undergraduate colleges should also be based on the development trend of the times, seize the opportunity of digitization and informationization construction of higher education, strengthen the in-depth application of information technology in teaching, and promote the blended teaching reform of online and offline organic integration with digital empowerment. In view of the shortcomings of traditional college English classroom teaching, this study introduces MOOC excellent online courses and “rain classroom” into the curriculum teaching, supplemented by relevant teaching resources in line with different professional knowledge structures, and creatively constructs a blended teaching mode of college English courses based on “massive open online course + rain classroom”. Teaching practice shows that compared with the traditional classroom teaching mode, the blended teaching mode constructed in this study has obviously promoted the development of students’ learning enthusiasm and autonomous learning ability and the improvement of teaching quality, which has achieved better teaching effect on the whole.

Analysis of Teachers’ Discourse in the Digital Platform Mode of College English Teaching Based on the Information Diffusion Model

Abstract This paper utilizes the information diffusion mechanism of the information extension model, which can act on the influence of students in the process of university English teaching to the information extension model to the diffusion ability that English information has. It examines the level of student activity and English information coverage in university English teaching and discusses the use of the information extension model in English teaching. According to the objectives of university English teaching, the functional requirements of the university English teaching platform are analyzed, the university English teaching platform based on the information diffusion model is designed through big data technology, and the English teaching platform combined with the information extension model is analyzed in an example study. The results show that on the model simulation analysis, the performance of this paper’s model is better than the User Rank model and UI-LR model when mining less than 30 information extensions. In the analysis of teachers’ discourse, the speech rate of teachers in the university English teaching platform is mainly concentrated in the range of 140-149 syllables/minute and 150-159 syllables/minute, and only one teacher’s speech rate exceeds 170-179 syllables/minute. This study has the potential to enhance students’ understanding of teachers’ discourse and establish a solid platform for communication between teachers and learners.

Retracted: Mobile Terminal System of Intelligent College English Teaching and Training Mode

Retracted: Mobile Terminal System of Intelligent College English Teaching and Training Mode

Retracted: College English Teaching Mode Based on Output-Oriented Method in Artificial Intelligence Environment

Retracted: College English Teaching Mode Based on Output-Oriented Method in Artificial Intelligence Environment

Innovative college English teaching models in cognitive linguistics on students’ attention deficit

BackgroundIn college English classrooms, some students may experience distractions such as unconsciously deserting and being absent-minded. The symptoms of this type of attention deficit are generally formed from a young age and do not disappear with age. The concentration of attention in English learning plays a crucial role in improving learning efficiency. Therefore, it is particularly important to study the positive effects of innovative college English teaching models in cognitive linguistics on students’ attention deficit.Subjects and MethodsIn order to verify the effectiveness of the innovative college English teaching model in cognitive linguistics, the study used two classes as experimental subjects. One of them was the experimental class using the innovative college English teaching model for teaching, and the other was the control class using conventional teaching. Observe and analyze the classroom distraction time of the two classes in teaching.ResultsThere is a significant difference in the distraction time between the two classes, with the average distraction time of the experimental class being 13.09 min, while the average distraction time of the control class is 18.69 min. The distraction time of the experimental class has decreased by 29.96% compared to the control class.ConclusionsThe attention of students in the experimental class is more concentrated compared to the control class, so the innovation of college English teaching mode in cognitive linguistics has a positive effect on students’ attention deficit.Acknowledgement A general project of philosophy and social science research projects in Colleges and Universities of Jiangsu Province in 2022 (No. 2022SJYB0836v); A key project of the “14th Five-year Plan” research projects for education and science of Jiangsu province in 2021 (No. C-b/2021/03/15); A research team program of Jiangsu Open University (No. 22-KYPT-Z07).

Retracted: Practical Research on College English Teaching Mode Reform Based on Computer Multimedia

Retracted: Practical Research on College English Teaching Mode Reform Based on Computer Multimedia

A Study on Multiple Interactive Teaching Models of English in Universities under Information Technology Environment

Abstract After modern information technology with the computer network as the core has entered the practice of college English teaching, the traditional college English teaching mode has undergone many changes and has brought confusion and challenges to English teaching. To this end, this study addresses the current situation of the reform practice of English teaching in colleges and universities and applies the relevant theories of foreign language teaching to elaborate and justify the multiple interactive teaching modes of English in colleges and universities under the information technology environment. The LDA-WO model is constructed in this paper, and students’ performance in the selected experimental and control classes before and after the multi-interactive teaching is analyzed and studied. The results of the analysis showed that the Z-values of students’ independent learning in the experimental class were 2.67, 3.78, 4.25, 3.17, and 5.61, all < Z0.05 = 1.96, which means that the student’s independent learning in the experimental class had improved significantly after the experiment, and there was a significant difference compared with the control class. In conclusion, the multi-interactive teaching model has a certain improvement effect on college students’ English listening and speaking ability, literacy ability, and strategy useability.

The Construction of College English Teaching Mode in the Context of Big Data Technology

Based on the comprehensive development background of economic globalization and technological integration, the comprehensive strength of China's politics, economy and culture has been rising, and the improvement of international status also means that the communication between China and the world is getting closer. English is the number one language in the world, and in the process of world integration, the need for comprehensive English talents is also increasing. Based on this major background of the digital age, broadening the teaching mode of English in universities to cultivate comprehensive quality talents has become the core content of the education of English subjects in universities at this stage. This paper analyses and discusses the construction of university English teaching mode in the context of big data technology, hoping that this can give advice and inspiration to the majority of relevant workers.

A MOOC-Based Hybrid Teaching Model of College English

In the era of intelligence, Internet + technology is widely used in various fields, and English Teaching in the education industry of colleges and universities gradually tends to be an online and offline mixed teaching mode. However, under the MOOC model, the feedback of College Students’ English learning and the recognition of their knowledge level has become new difficulties. Aiming at the feedback of students’ learning situation under the mixed mode of College English teaching, this paper uses the optimized Bayesian knowledge tracking model (BKTM) to predict students’ English learning situation and introduces students’ learning behavior and forgetting behavior to optimize parameters. Finally, a performance verification experiment is carried out by analyzing the students’ answer performance in College English mixed teaching. The results show that the prediction errors of the four knowledge points of 60 students in the two classes are all about 7%, and the maximum error is 11%. Experiments show that the model has high accuracy and stable performance in predicting the probability of mastering knowledge points.

Empirical Efficiency Modeling of Online + Offline Teaching Evaluation Mode of Courses Based on 6G Real-Time Image Transmission Architecture

Putting forward the requirements of the 6G-oriented space-earth integrated information network architecture, and put forward a flexible and reconfigurable space-earth integrated information network architecture on this basis. On the basis of the research, it puts forward the countermeasures and suggestions to improve the evaluation mode of college English online teaching. From the aspects of curriculum structure, curriculum implementation, evaluation feedback, teacher team construction and talent training, the innovative teaching mode of "online micro-course" integrated into mathematical modeling courses is studied. A set of experimental teaching plans based on small modeling projects and corresponding teaching methods are proposed. The system of learning evaluation, and the effect of curriculum reform was analyzed through empirical teaching.

Research on effectiveness of college english blended teaching mode under small private online course based on machine learning

Machine learning-based learning effectiveness analysis is an important part of the current analysis of college students’ learning effectiveness and it is directly related to the learning effect. It plays a very important role in the analysis of college students’ learning, and enhances the learning effect of students to the greatest extent. The study aimed to investigate the students’ English learning effectiveness under small private online course (SPOC) teaching mode based on machine learning. The study designed and implemented the blended teaching mode of college English based on SPOC. Next, the study investigated the students’ English learning effectiveness under SPOC teaching mode by an empirical study and analyzed the students’ English learning effectiveness under SPOC teaching mode based on machine learning. The results showed that the students were satisfied with the blended teaching mode of college English based on SPOC and students’ academic English skills, research skills and learning effectiveness were improved in the SPOC-based teaching mode. In order to improve the effect of the blended English teaching mode, teachers need to reconstruct the teaching mode of college English based on the SPOC platform, improve the evaluation mechanism, take advantage of the continuous integration of information technology and college English teaching, and build an innovative English teaching mode in order to improve the quality of college English teaching.

Practical analysis based on the mode of flipped classroom in college English teaching

With the continuous development of the Internet, the traditional college English teaching mode no longer meets the learning needs of students. Therefore, how to realize the innovation of college English teaching mode and improve students' English learning ability by means of information technology has become an urgent problem to be solved by the current education departments. This paper will start with the definition and characteristics of flipped classroom teaching mode, combined with the application practice of flipped classroom teaching mode in college English teaching, and put forward improvement suggestions from the aspects of course resources, classroom activities and evaluation methods, etc., in order to provide reference for the innovative development of college English teaching mode.

Research on innovative strategies of college students’ English teaching under the blessing of big data

Abstract The rapid development of modern society is inseparable from information technology, and most of this information technology is based on big data, which makes the teaching field in the new era keep pace with the times and brings great changes to the academic activities in which teachers and students participate, as well as to the quality of their thinking skills, and thus, likely even their overall lives. Under the background of big data, through the effective application of relevant technologies, students’ learning is no longer limited to a relatively single traditional teaching level, and teaching needs strategic innovation. This paper improves the mathematical model of precision teaching strategy, establishes the empirical model of the optimal mode of College English teaching based on big data and puts forward relevant innovative teaching methods. Through the rational use of big data technology, the content and form of College English classroom teaching can be improved, so as to improve the quality of College English teaching.

Practical Research on College English Teaching Mode Reform Based on Computer Multimedia

The fastest development of technologies encourages computer multimedia-oriented education. Nowadays, information technologies create human basic abilities. College English teaching mode reform based on computer multimedia is the aim of the paper. Generally, computer multimedia technologies oriented college English education merging pictures, videos, audio, vocabulary, and animation. We described the development of multimedia in English teaching mode, applications of college English teaching, a novel model of foreign language teaching in the classroom and a computer, computerized English language teaching method TPACK design, and the latest architecture of college English language teaching based on computers in this paper. We are discussing face-to-face teaching, language lab autonomous learning room, network teaching area in multimedia, and network teaching circumstances in this paper. This paper evaluated wireless communication’s range, challenges facing college English teaching, comparative analysis of attitude, comparative analysis of curriculum, and comparative analysis of technology. We express that, from the year 2000 to the present, the technologies in wireless communications with computer multimedia are developing in the range of wireless communication.

Construction and Implementation Path of College English Teaching Mode in Big Data Environment

As a basic course for cultivating innovative and applied foreign language talents in the new era, college English audio-visual courses are facing huge opportunities and challenges in the era of big data. The transformation of the teaching environment under the background of big data is mainly reflected in the role of teachers, the dissemination of the information age, and the improvement of students’ self-learning ability. The role of students in teaching has been strengthened, and the education system has undergone certain changes. This paper analyzes the current teaching status of college English audio-visual courses. According to the actual situation, a feasible reform plan is proposed to reconstruct the teaching mode of college English audio-visual courses, to improve the teaching quality of college English audio-visual courses, and to promote the improvement of students’ comprehensive ability of college English.

Problems and Countermeasures of College English Mixed Teaching Mode

. The advent of the epidemic has brought great changes to the education methods. The hybrid teaching mode of online and offline integration has become the new normal of college English education. College English is an important professional course, and its teaching goal is to cultivate students' English application ability and comprehensive language quality training. However, there are still some problems in the mixed teaching model in practice. This paper analyzes the implementation of college English mixed teaching mode at this stage, and summarizes the existing problems and the current situation of English professional development trend and the new information technology, and puts forward new ideas and methods of college English teaching to improve the existing teaching mode, so as to lay a solid foundation for the development of future mixed teaching mode, and to promote the development of Chinese English education in the new period.

Study on Cultivation of College Students' Ability to Tell Chinese

Telling Chinese stories well is an important way to improve the country’s cultural soft power. Cultivating college students' ability to tell Chinese stories in English can not only expand their international horizons, but also enhance the influence of Chinese culture in the world. However, there is a phenomenon that the foreign communication of Chinese culture is missing and lost in the teaching practice of college English in some universities at present. This paper will analyze the phenomenon of neglecting to cultivate college students' ability to tell Chinese stories well in college English teaching procedures, discuss the content of English teaching that promotes the spread of Chinese culture to the outside world, deeply interpret the teaching mode of "telling Chinese stories well", propose strategies and methods to cultivate students' ability to tell Chinese stories well in English teaching, so as to provide some references for the improvement of College English teaching mode.

Research on the Application of Information-Based Big Data Fusion Technology in College English Education Design

English is the most widely used language in the world, and China’s economic development has become the second largest country in the world. Therefore, popularizing English in China is the need of national conditions and the desire for talents who are good at English majors. In the current traditional college English education mode and in the external environment, college students’ English knowledge has not been substantially expanded, which has seriously caused the social needs not being met and students not being able to show their self-worth. Based on the deficiency of traditional college English teaching mode, this paper designs an efficient and perfect college English education mode by combining information big data fusion technology, so as to ensure that students can really love English and learn English more easily. The results of the experiment are as follows: (1) college English education and students’ English learning are analyzed, and the research direction of the experiment is approved, and the functional has been investigated, which lays a foundation for the experimental research of this paper; (2) old-fashioned college English education mode: intelligent big data technology is applied to English education. By using the information big data fusion algorithm to ensure the qualified English teaching effect, it not only helps teachers effectively combine big data resources but also changes the atmosphere of teaching classes, constructs modern language education mode, and promotes students’ thinking mode of exploring language learning.

The Construction of University English Translation Teaching Model Based on Fuzzy Comprehensive Assessment

With the deepening of economic globalization, the communication between countries is getting closer and closer. The common topic of communication between people of different cultures and environments is English. Since the country has established English as a subject, the importance of English has become one of the main factors for the all-round development of students. In recent years, higher vocational education in China has once again developed towards high quality, all-round diversification, and innovation. According to the continuous reform and innovation and independent innovation, college English has been proved to be an important part of higher vocational education and an important measure to promote the development trend of higher vocational education all over the country. With the progress of science and technology and the development of economy, the level of education in China is still improving. People have put forward stronger teaching standards and regulations for English, a course with strong adaptability and practicality. Part of Chinese translation in college English shows its comprehensive ability and high-level thinking ability. In order to integrate this trend, this paper proposes the formulation and use of college English translation teaching model. The experiment proves that the accuracy of the traditional fuzzy evaluation method in the comment module design of college English translation teaching mode is low, only 82% at most. In order to solve this problem, BP optimization algorithm is introduced. The precision and reliability of BP optimization algorithm are improved. Because of the learning effect of the college English translation teaching mode based on the fuzzy evaluation BP optimization algorithm proposed in the certification paper, the certification is carried out according to the questionnaire and the final evaluation method. The students’ satisfaction and favoritism at the assessment level and the final results of their classmates have proved the proposed college English translation teaching model. The article has excellent learning effect.