Construction and Application of the Multi-Intermediate Multi-media English Oral Teaching Mode

Li, Na

doi:10.32604/iasc.2020.010115

Cited by 10 publications

(5 citation statements)

References 13 publications

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“…The results of the study show that big data and cloud computing methods can improve the quality of college English classrooms. Li [16] also found that English language learning is also an important part of Chinese education, because English is an important language for opening international communication patterns. It also believes that the traditional English teaching model is no longer suitable for the era of advanced technology.…”

Section: Related Workmentioning

confidence: 98%

Analysis of Multimedia Combination-Assisted English Teaching Mode Based on Computer Platform

Zhang¹,

Li²

2022

Advances in Multimedia

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English is an important international language. Whether it is international economic or international political communication, it is inseparable from English. English teaching is mainly to impart the basic knowledge of English as well as the knowledge of audiovisual knowledge. However, the traditional English teaching mode often ignores the expression of English emotion and the background of English. The traditional English teaching mode often uses textbooks and other forms to impart knowledge, which can no longer meet the English teaching in today’s era. Computer-aided systems have become an important technology in the field of teaching today. Multimedia technology can also show English knowledge to students in the form of video or audio. This will increase students’ interest in learning English. This research will use computer platform and multimedia technology to build a new English teaching platform. It also uses the ConvLSTM algorithm and the CF algorithm to implement the active recommendation function of English knowledge. The research results show that multimedia technology can achieve the purpose of collecting video and audio information in the process of English teaching. The CF algorithm has a specific high similarity index in recommending English knowledge. The ConvLSTM method can also better predict the characteristics of English grammar and English emotion in the English teaching process. This can also show that the multimedia-assisted English teaching mode has a certain use value for different English teaching scenarios.

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Section: Related Workmentioning

confidence: 98%

Analysis of Multimedia Combination-Assisted English Teaching Mode Based on Computer Platform

Zhang¹,

Li²

2022

Advances in Multimedia

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“…According to the research and analysis, learners will feel confused when tense forms reflect more than one tense. Thus, it is significant to determine how to improve teaching strategies for the learning of a second language [2,3]. In Germany, it is requisite that teachers strengthen their own education and research on learning strategy.…”

Section: Current Research Statusmentioning

confidence: 99%

Research on College English Teaching Model Based on Decision Trees

Wu¹,

Nagaraj²

2021

Intelligent Automation &Amp; Soft Computing

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English teaching has always attracted much attention. However, the processes of its transmission and acquirement is often divided into two separate parts, which seriously hinders the effective implementation of its objectives. Teachers attach particular importance to the choice of the curriculum structure and teaching material. Students are busy comprehending the assignments their teachers deem important. Under such a scenario, the effective acquisition of knowledge and the development of sustainable comprehensive abilities are ignored. The random forest algorithm in machine learning applications could play important role improving on the current English teaching system. A random forest model is constructed using a decision trees selection method, which focuses on 19 attributes of the English teaching model. Results show, to begin with, that the indigenous teaching plan and environment fail to adapt to the pace of knowledge iteration in the era of big data. Moreover, interactions between teachers and students appear to be shallow with little constructive interaction, causing a decline in the relationship between teachers and students. Last, there is still no signs of any legitimate construction in terms of in-person English teaching, relativity attribute, corpus and platform. Therefore, this paper has proposed a new English teaching model to adapt to the current college English teaching environment. The experimental results show that the method is effective and feasible for the current college English teaching.

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“…Li [4] fully combined ESI with information technology and proposed an innovative multimedia interactive teaching mode based on the intelligent speech system. Han and Niu [5] point out that the goal of learning the English language is oral communication; virtual scenario can enhance the students' ability of language expression and stimulates their learning interest. Nguyen et al [6] show that listening, speaking, reading, and writing are important abilities in ESI.…”

Section: Introductionmentioning

confidence: 99%

Evaluation and Improvement of English-Speaking Instruction Based on PLS-SEM and Intelligent Speech System

Zhang

Wang

Zhou

2022

Mobile Information Systems

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Technological progress has brought about significant changes in education, and the development of intelligent speech systems has provided a new technical support and a broader resource platform for teaching and evaluating college English speaking. Evaluation is the basis for optimizing college English-speaking instruction (ESI); this paper explores the influencing factors of ESI and their relationship through PLS-SEM. Students’ course cognition, learning behavior, knowledge mastery, and teacher-student communication have a significant positive relationship with course satisfaction and classroom effect. On this basis, we make suggestions for optimizing college ESI from three aspects: resource acquisition, platform utilization, and teaching evaluation in combination with an intelligent speech system.

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Construction and Application of the Multi-Intermediate Multi-media English Oral Teaching Mode

Cited by 10 publications

References 13 publications

Analysis of Multimedia Combination-Assisted English Teaching Mode Based on Computer Platform

Analysis of Multimedia Combination-Assisted English Teaching Mode Based on Computer Platform

Research on College English Teaching Model Based on Decision Trees

Evaluation and Improvement of English-Speaking Instruction Based on PLS-SEM and Intelligent Speech System

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