scholarly journals An English Network Teaching Method Supported by Artificial Intelligence Technology and WBIETS System

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Haibao Du

The traditional English teaching system has certain problems in the acquisition of teaching resources and the innovation of teaching models. In order to improve the effect of subsequent English online teaching, this paper improves the machine learning algorithm to make it a core algorithm that can be used by artificial intelligence systems. Moreover, this paper combines the WBIETS system to expand the system function, analyzes the needs of the English network teaching system, and constructs the system function modules and logical structure. The data layer, logic layer, and presentation layer in the system constructed in this paper are independent of each other and can be effectively expanded when subsequent requirements change. In addition, this paper solves the problem of acquiring English teaching resources through the WBIETS system. To evaluate the performance of the English network teaching system, this paper performs comprehensive mathematical and experimental analysis. The experimental results show that the system constructed in this paper basically meets the actual teaching requirements.

2014 ◽  
Vol 687-691 ◽  
pp. 2411-2414
Author(s):  
Wen Lu Li

In the network teaching system, with the increasing teaching resources, student resources are increasingly difficult to find interesting, so join teaching resource referral service in online teaching system allows students freed from the vast network of information resources, greatly saving time and effort spent on students in search of information. Under these conditions and needs, educational resources referral service technology has been progressively developed. This article is recommended for Educational Resources Services referral service model, resource feature representation and recommendation algorithm based on machine learning and other key technologies were discussed and studied.


Author(s):  
Fengming Jiao ◽  
Jiao Song ◽  
Xin Zhao ◽  
Ping Zhao ◽  
Ru Wang

The learning model and environment are two major constraints on spoken English learning by Chinese learners. The maturity of computer-aided language learning brings a new opportunity to spoken English learners. Based on speech recognition and machine learning, this paper designs a spoken English teaching system, and determines the overall architecture and functional modules of the system according to the system’s functional demand. Specifically, MATLAB was adopted to realize speech recognition, and generate a speech recognition module. Combined with machine learning algorithm, a deep belief network (DBN)-support vector machine (SVM) model was proposed to classify and detect the errors in pronunciation; the module also scores the quality and corrects the errors in pronunciation. This model was extended to a speech evaluation module was created. Next, several experiments were carried out to test multiple attributes of the system, including the accuracy of pronunciation classification and error detection, recognition rates of different environments and vocabularies, and the real-timeliness of recognition. The results show that our system achieved good performance, realized the preset design goals, and satisfied the user demand. This research provides an important theoretical and practical reference to transforming English teaching method, and improving the spoken English of learners.


2013 ◽  
Vol 756-759 ◽  
pp. 2475-2478
Author(s):  
Guang Yu Wang

The key of the network teaching system is how to provide appropriate teaching resources and adopt different teaching strategies according to different users. In this paper, data mining is used in network teaching system, and builds a personalized network resources database. According to the information of the user, find the relevant rules and provide the learning resources for each learner to adapt to their needs. The results demonstrate that this proposed approach for improving the level of personalized service in network teaching system is effective.


2013 ◽  
Vol 475-476 ◽  
pp. 1235-1239
Author(s):  
Zhong Yun Jiang

In the basis of the integration of traditional and network teaching, a network teaching system based on webquest and mindmap was established. Around webquest and mindmap, the main modules of the system had been designed and a new inquiry teaching model had been established, in which the teacher-leading and student-centered idea was introduced and intellectual analysis feedback circle was designed. By inputting teaching tasks, teaching situation and teaching resources, and by means of teacher's just-in-time guidance and student's thinking and inquiry, the system could output the final complete mind maps and inquiry conclusions. The system was applied to the "principles of computer network" course and empirical research was carried out in the experimental class. The experimental results show that, the network teaching system can stimulate student's learning interest, and improve student's comprehensive qualities and innovation ability.


2022 ◽  
Vol 2022 ◽  
pp. 1-10
Author(s):  
Sun YiFei

In order to be able to provide learning resources for learners anytime and anywhere and improve the quality of online teaching, a network-assisted teaching system for college students’ ideological and political courses based on the Android system is designed. The characteristics of the Android system platform and its hierarchical structure are analyzed, and the overall structure of the network-assisted teaching system was designed based on it and through the construction of the system user login module, learning resources module, operation management module, unit test module, and teaching interface display module, so as to achieve the effect of network assisted ideological and political course teaching. The preferences of students were fully considered, the needs of students with different resource spaces were matched, and the genetic algorithm is used to share the information of network teaching resources to meet the needs of ideological and political teaching. According to the experimental results, the system designed in this paper has high accuracy in the recommended content of ideological and political education resources and the coverage of resource recommendation is relatively high, indicating that the application effect of the system is better.


2022 ◽  
Vol 2022 ◽  
pp. 1-10
Author(s):  
Yezi Zhang

Artificial intelligence is an innovative enterprise theme that combines computer science, physiology, science, and other disciplines, including expert programs, technical experiments, games, native language understanding, cognitive rehabilitation, robotics, engineering, recognition, and other fields. The breakthrough growth made the arrival of the era of big data have a fundamental impact on many traditional industries and has also promoted the transformation of teaching methods and methods in the field of education. In the traditional classroom, due to the limitations of teaching resources, teaching time, and location, students are basically passively accepted by the teacher, and the teaching form is single. This will improve in the age of big data with well-developed network message. Modern distance education uses advanced technology such as computer networks, multimedia, and artificial intelligence to build a virtual teaching environment based on the network. It breaks through the limitations of teachers, teaching materials, experimental equipment, and other resources that exist under the traditional teaching model. Using educational resources of the same scale can expand educational capabilities exponentially and at the same time overcomes the unified progress of traditional teaching methods, single teaching methods, and students’ dissatisfaction. The shortcomings of differences and personalities that are not reflected are conducive to the improvement of the quality of education. It is the original intention of education to offer students special study resources and to stimulate students’ enthusiasm for learning. To enhance the current learning environment, the article builds a personalized multimedia network teaching system based on big data and streaming media technology. By recording the teacher’s class process as a video and uploading it to the multimedia network teaching system, students can watch and download related videos online for learning and also communicate online. The system can also provide personalized and intelligent recommendations for students based on student learning habits. The system is developed based on intelligent multimedia method and has the characteristics of security and stability and has done some help for network teaching of educational institutions.


2014 ◽  
Vol 644-650 ◽  
pp. 4542-4545
Author(s):  
Hai Hua ◽  
Min Yao

As a new teaching assistance system, mobile network teaching system is built for those learners whose learning space position and time are irregular and self-learning requests increase. From the view of expanding the mobile function on the Moodle platform, this paper sets up a mobile network teaching system supporting different mobile devices access the system through wireless communication network, which meet teachers’ and students’ needs to get teaching resources conveniently, fast and efficiently and self-learn anytime, anywhere.


Author(s):  
Xianguo Jia

Individual distance teaching introduces individual services in traditional network teaching, overall considers learning conditions of students at different levels and the relevance of teaching contents so as to make the individual learning program for students in the learning process. Meanwhile, it provides students with the most matched teaching resources. At present, the common network teaching system has the problems of insufficient intelligence and lack of individuation. Agent-based individual network teaching system is an autonomous intelligence system with immediate feedback. It is provided with real-time monitoring and information filtering function as well as teaching analysis and collaborative learning function. Based on the study on Agent technology and current situation of network teaching, Agent-based individual network teaching system was constructed in this paper. The practical application effect of the network teaching system was analyzed by taking the course Modern History outline of China as the object of experiment. This paper provided theoretical and data support for the research on individual distance teaching and network teaching system so as to exploit the potential development direction of future network teaching.


2014 ◽  
Vol 962-965 ◽  
pp. 3067-3070
Author(s):  
Lan Yu Zhang ◽  
Yi Fei Zhang

The network education of colleges or universities has become one of the effective complement to traditional education. The Network education can be divided into autonomous distance education and real-time online distance education which could be applied in different conditions. The Network education has fundamentally changed the teaching method of traditional educations. It may even change the whole ideas on education. It could break out the limit of time and distance. Students will have more flexibility when they begin to study. This article investigates domestic colleges and universities technology ability and the infrastructure, analyzes the cost of software and hardware resources for network education recently, and plans three feasible network teaching system.


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