Strategies to Improve the Effectiveness of Business English Classroom Teaching Based on Intelligent Teaching System

2020 ◽  
Author(s):  
Yichen Xing
Keyword(s):  
Classroom Teaching ◽  
Business English ◽  
Teaching System ◽  
English Classroom

College Business English teaching in the context of multimedia network

2021 ◽  
pp. 002072092110077
Author(s):  
Yan Liang
Keyword(s):  
Language Learning ◽  
English Education ◽  
Classroom Teaching ◽  
Business English ◽  
Teaching Mode ◽  
College English ◽  
English Teaching ◽  
Multimedia Network ◽  
English Classroom ◽  
Reform Model

With the advent of the Internet age, network information technology is rapidly entering college English classes, which fundamentally changes the mode of college English teaching. In college English classroom teaching mode, as a brand teaching form, College English multimedia network teaching environment has brought advantages to classroom teaching, but also brought about impacts on teaching concepts, teaching models, teaching methods and other aspects. There are some phenomena that are inconsistent with the reform model at the students, teachers and the environment. The balance of traditional English classroom teaching has been broken, which has affected the smooth progress of college business English classroom teaching mode reform. It is very important to analyze and resolve these imbalances and find ecological methods for optimizing university English education. In this context, the advent of multimedia-assisted education technology has provided better conditions for the implementation of Business English classroom education in universities. Multimedia-powered business English education allows teachers to create a better language learning environment in class more conveniently and quickly, helping students acquire grammar knowledge and achieve their educational objectives.

Research on Construction of Kinect-Based Virtual Situation Laboratory

2014 ◽  
Vol 532 ◽  
pp. 259-263
Author(s):  
Hong Jian Liao ◽  
Xiao Li Long ◽  
Li Ping Wang
Keyword(s):  
Computational Complexity ◽  
Low Cost ◽  
Depth Map ◽  
Interactive Technology ◽  
Classroom Teaching ◽  
Image Matting ◽  
Business English ◽  
Teaching System ◽  
Teaching Laboratory ◽  
Region Growth

In order to solve the problems of expensive and non-universal dedicated virtual situational teaching laboratory equipments, this paper proposed to apply Kinect to establish low-cost and strongly-immersive virtual situational teaching system. Figure image matting is a key issue of Kinect-based virtual situational teaching system. So a fast and real-time matting algorithm is hereby put forward with use of Kinect depth map. It adopt improved region growth algorithm to obtain trimap, coupled with the use of a set of shared sample points with low computational complexity. Through weighted filtering, image matting regions are smoothed so as to obtain accurate matting results. Practices in classroom situational teaching for Business English prove this matting method is robust and stable, and almost unaffected by light and complex background. Kinect-based virtual situation and somatosensory interactive technology can better meet the needs of classroom teaching, which is a low-cost and strongly-immersive virtual situational teaching solution.

scholarly journals Construction of English Classroom Situational Teaching Mode Based on Digital Twin Technology

2021 ◽  
Author(s):  
Shan Gu ◽  
Zhenjing Da
Keyword(s):  
Language Learning ◽  
Classroom Teaching ◽  
Teaching Model ◽  
Teaching Mode ◽  
Teaching System ◽  
Digital Twin ◽  
Depth Analysis ◽  
Video And Audio ◽  
English Classroom ◽  
Graphics Rendering

Abstract In order to improve the effect of English classroom teaching, this paper combines the digital twin technology to construct the English classroom situational teaching mode. The system uses advanced virtual reality technology and computer image technology, and combines with video and audio synchronization processing technology to provide a new set of methods for students' language learning. The graphics rendering server of the scene interactive teaching system renders and generates 3D virtual scenes or real images in real time. Moreover, this paper constructs the functional modules of the situational teaching system according to the English classroom teaching situation, and conducts an in-depth analysis of the system implementation methods, expresses the system core algorithm flow in the form of diagrams and tables, and obtains the overall system framework. Finally, this paper evaluates the effect of the English classroom situational teaching model proposed in this paper through experimental research. From the experimental results, it can be seen that the teaching model proposed in this paper is very effective.

scholarly journals Innovative Applications of Computer-Assisted Technology in English Learning under Constructivism

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Dan Zhao
Keyword(s):  
Machine Vision ◽  
Formative Evaluation ◽  
Classroom Teaching ◽  
Computer Assisted ◽  
Teaching Resources ◽  
Teaching System ◽  
College English ◽  
English Classrooms ◽  
English Classroom ◽  
Vision Algorithm

In order to improve the effect of college English classroom teaching, this paper combines optical recognition to improve machine vision algorithms and uses computer optical vision technology to process teaching images. The system designed in this paper can be applied to philosophical teaching in college English classrooms. Moreover, the system can optimize teaching resources, manage teaching classrooms through the improved machine vision algorithm in this paper, and have a formative evaluation effect. In addition, taking into account the psychological activities of students in the classroom, this paper integrates the emotional recognition of college students in the construction of the system. Furthermore, it combines the actual teaching process to build a college English classroom teaching system based on constructivism. Finally, this paper designs an experiment to analyze the effect of the teaching model. From the research results, it can be known that the teaching system meets the demands of teaching.

Fuzzy control based on genetic algorithm in intelligent psychology teaching system

2021 ◽  
pp. 1-9
Author(s):  
Xiaojia Pang ◽  
Yuwen Ning
Keyword(s):  
Genetic Algorithm ◽  
Fuzzy Control ◽  
Control Theory ◽  
Classroom Teaching ◽  
Improved Genetic Algorithm ◽  
Group Function ◽  
Teaching Process ◽  
Teaching Management ◽  
Teaching System ◽  
Volume Group

The advancement of science has made computer technology and the education industry more and more closely related, and the development of intelligent teaching systems has also opened a new path for classroom teaching. This paper studies the application of fuzzy control based on genetic algorithms in the intelligent psychology teaching system. Facing the complicated variables in the teaching process, the improved genetic algorithm can better realize dynamic teaching decisions through fuzzy control. This article aims to improve the quality of psychology classroom teaching, and develops an intelligent psychology teaching system based on the fuzzy control theory of genetic algorithm. Combined with the current development of fuzzy control theory, the problems existing in the intelligent teaching system are studied and analyzed, and they have been optimized and improved. This paper proposes a control algorithm based on a teaching management system. The algorithm can implement fuzzy control on student models, knowledge organization structure, intelligent test papers and teaching decision-making. While restoring the real teaching process, it can better realize teaching students in accordance with their aptitude and improve teaching. The intelligence of the system. According to the system test data, the proportions of the difficulty of the system’s automatic test paper are 30.1%, 51.6%, 18.3%, which are in line with the designer’s set expectation of 3 : 5:2, which shows the improved genetic algorithm. It can realize the intelligent volume group function very well.

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