scholarly journals Optimization of Multimedia English Teaching Computer-Aided System based on Internet of Things

2021 ◽  
Vol 19 (S6) ◽  
pp. 136-146
Author(s):  
Xiaoling Liu ◽  
Na Li
Keyword(s):  
Internet Of Things ◽  
English Teaching ◽  
Computer Aided

Application of Internet of Things intelligent image-positioning studio classroom in English teaching

2021 ◽  
pp. 1-11
Author(s):  
Jie Chen ◽  
Yukun Chen ◽  
Jiaxin Lin
Keyword(s):  
Internet Of Things ◽  
Language Learning ◽  
Learning Strategies ◽  
English Teaching ◽  
Classroom Activities ◽  
Post Test ◽  
Studio Classroom ◽  
And Control ◽  
Self Learning ◽  
Intelligent Positioning

The purpose is to minimize color overflow and color patch generation in intelligent images and promote the application of the Internet of Things (IoT) intelligent image-positioning studio classroom in English teaching. Here, the Convolutional Neural Network (CNN) algorithm is introduced to extract and classify features for intelligent images. Then, the extracted features can position images in real-time. Afterward, the performance of the CNN algorithm is verified through training. Subsequently, two classes in senior high school are selected for experiments, and the influences of IoT intelligent image-positioning studio classroom on students’ performance in the experimental class and control class are analyzed and compared. The results show that the introduction of the CNN algorithm can optimize the intelligent image, accelerate the image classification, reduce color overflow, brighten edge color, and reduce color patches, facilitating intelligent image editing and dissemination. The feasibility analysis proves the effectiveness of the IoT intelligent image-positioning studio classroom, which is in line with students’ language learning rules and interests and can involve students in classroom activities and encourage self-learning. Meanwhile, interaction and cooperation can help students master learning strategies efficiently. The experimental class taught with the IoT intelligent positioning studio has made significant progress in academic performance, especially, in the post-test. In short, the CNN algorithm can promote IoT technologies and is feasible in English teaching.

Computer Aided Design of Chinese College English Teaching Materials Based on COCA Corpus

2014 ◽  
Vol 590 ◽  
pp. 916-919
Author(s):  
Yan Juan Huo
Keyword(s):  
Computer Aided Design ◽  
Large Scale ◽  
English Language ◽  
English Language Teaching ◽  
Teaching Material ◽  
Teaching Resources ◽  
College English ◽  
English Teaching ◽  
Computer Aided ◽  
Aided Design

As the flourishing of computer technology and the appearing of lots of large-scale and well-designed corpora and concordance software, corpus-based approach, an advanced teaching resources, has been widely employed in language researches of various fields and perspectives. English teaching material, the main source of language input, has the quality and authority in Chinese English language teaching classes. The present study attempts to bring about some innovations in construction and designing of teaching material on the basis of the Corpus of Contemporary American English (COCA). Moreover, the research is intended to effectively improve teacher’s input and introducing data-driven learning (DDL), and to effectively stimulate the motivations of students by using this computer-aided and COCA-based designing.

On Optimization of Non-Intelligence Factors in College English Teaching in Computer-Aided Language Learning Environments

2014 ◽  
Vol 644-650 ◽  
pp. 6124-6127
Author(s):  
Jing Wang
Keyword(s):  
Language Learning ◽  
Learning Environments ◽  
Rapid Development ◽  
Traditional Teaching ◽  
Training Methods ◽  
College English ◽  
English Teaching ◽  
Teaching College ◽  
Computer Aided ◽  
New Perspective

With the rapid development of computer technology, combined with the features of computer-aided English teaching, college English teaching has tremendously challenged the traditional teaching mode. This change, however, provides a new perspective for the research of non-intelligence factors in students’ learning process. Based on the definition and importance of non-intelligence factors, this paper briefly discusses the cultivation of college students’ non-intelligence factors in the computer-aided language learning environments and put forward some suggestions to optimize the non-intelligence factors from the perspectives of interest in learning, communication awareness and teamwork ability in order to update our teaching idea and improve the quality of college English teaching and training methods.

scholarly journals Research and Application of the Interactive English Online Teaching System Based on the Internet of Things

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Huani Chen ◽  
Jian Huang
Keyword(s):  
Internet Of Things ◽  
Online Teaching ◽  
Internal Consistency Reliability ◽  
Teaching Quality ◽  
The Internet ◽  
Teaching System ◽  
Topological Structures ◽  
English Teaching ◽  
Short Period ◽  
The Internet Of Things

Nowadays, due to the pandemic and other problems, the establishment of physical classes is a big headache for both students and teachers, due to which the education system all over the world is shifted to the online system from the physical system. Advance technologies such as the Internet of Things (IoT) are playing a significant part in various sectors of life such as health, business, and education. In order to effectively improve the effect of online English teaching, this study designed an interactive online English teaching system based on the IoT technology. This study proposes three topological structures for the establishment of the proposed IoT-based online English teaching system. Based on the analysis of the three topological structures of the IoT, this study chooses to design each submodule of the front and back of the system in the network IoT environment to realize the daily operation and various functions of the system and to realize the interactive design of both of the teacher and student side. Based on this approach, an online English teaching system is designed, and the teaching quality based on this system is evaluated with the help of an algorithm known as grey relational analysis algorithm. The experimental results show that, after the application of this system, students have access to the teaching materials and content in a short period of time; and the English test scores were improved and were significantly higher as compared to the traditional teaching system. In addition, at the same time, the internal consistency reliability of the proposed system is very high which fully demonstrates the effectiveness of the proposed system.

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