scholarly journals Mobile English Teaching System Based on Adaptive Algorithm

2018 ◽  
Vol 13 (08) ◽  
pp. 64 ◽  
Author(s):  
Xing Zhao
Keyword(s):  
Adaptive Algorithm ◽  
Learning System ◽  
Learning Ability ◽  
English Learning ◽  
Learning Space ◽  
Teaching System ◽  
English Teaching ◽  
Three Layer Architecture ◽  
Hypermedia Model ◽  
Feedback Module

To improve the students’ individualized and autonomous learning ability in English teaching, a mobile English learning system is designed on the basis of adaptive algorithm. The students’ need for the adaptive mobile English teaching system is analyzed through researches on students and questionnaires. According to the needs analysis, the main functional modules of the adaptive mobile English learning system are designed, including the creation module, personalized learning module, evaluation and feedback module, and management module. Then, the improved XAHM (XML adaptive hypermedia model) is applied to the mobile English learning system. The three-layer architecture of the English mobile learning system is revised into four layers of composition layer, data layer, business logic layer and presentation layer. At the same time, more attention is diverted to the terminal and the situation. Finally, the system is tested. The test results showed that the mobile English learning system realized the self-adaptive and intelligent navigation of learning space in the course of teaching. It is concluded that the new adaptive algorithm had a good performance for college English learning.

A study on the construction of O2O teaching system of college English cross-cultural knowledge based on MOOC artificial intelligence

2021 ◽  
pp. 1-6
Author(s):  
Min Li ◽  
He Lv
Keyword(s):  
Online Education ◽  
Cultural Difference ◽  
Fitness Function ◽  
Cultural Knowledge ◽  
Cross Cultural ◽  
Learning Ability ◽  
English Learning ◽  
Teaching System ◽  
College English ◽  
English Teaching

In this paper, MOOC-based O2O Teaching System for college English cross - cultural knowledge is introduced to improve the 3P model of traditional English teaching through data analysis of the combined and optimized fitness function and social evolution operator. First, through analyzing and summarizing a large number of domestic and foreign literatures and research results, the construction scheme of MOOC-based O2O Teaching System for college English cross-cultural knowledge was established. Moreover, this paper studies the construction mode of MOOC-based O2O Teaching System for college English cross-cultural knowledge and finally establishes the teaching system, and concludes that colleges and universities should pay attention to the cultural difference in English learning, and emphasis on the cultivation of college student cross-cultural knowledge. The specific path is online education combined with offline education for common development, thereby enhancing college students’ English learning ability and practical ability. To sum up, in college English teaching, we should pay attention to the education of English cross-cultural knowledge, O2O mode for cross-cultural knowledge can be used to combine 3P teaching mode and online education mode in MOOC environment, promoting innovation and development of educational methods under the guidance of the constructivism, so as to improve students’ English proficiency.

Algorithm Design and Dynamic Evaluation Model of Multi-Variable Inputs Based on Development Tool of JSP Network

2014 ◽  
Vol 608-609 ◽  
pp. 256-260
Author(s):  
Qing Yun Meng ◽  
Liang Li
Keyword(s):  
Evaluation System ◽  
Comprehensive Evaluation ◽  
Learning Ability ◽  
English Learning ◽  
Validity And Reliability ◽  
English Teaching ◽  
Application Range ◽  
Teaching Reform ◽  
Development Tool ◽  
Explicit Teaching

With the continuing of new teaching reform, English teaching has been incorporated into the focus of teaching reform. English teaching has characteristic of wide application range, various teaching methods, flexible using multimedia etc.. Therefore, in the teaching process we take more abundant methods to raise the enthusiasm of students and improve the students' English learning ability. Combined with the multivariate regression variable analysis method, we use JSP network development tool to improve the English teaching evaluation system and obtain the English comprehensive evaluation platform under the multivariate influencing factors. In order to verify the validity and reliability of the system, we evaluate complaint strategies, explicit teaching and complaint explicit teaching, and obtain the results of the English learning ability, which provides a new method for the application of computer in English teaching.

scholarly journals Design and Realization of Project-based Computer English Learning System

2017 ◽  
Vol 12 (08) ◽  
pp. 128
Author(s):  
Li Qin
Keyword(s):  
Problem Solving ◽  
User Satisfaction ◽  
Project Based Learning ◽  
Learning System ◽  
Sql Server ◽  
English Learning ◽  
Analytical Problem ◽  
English Teaching ◽  
Starting Point ◽  
Realization Process

This paper describes the design principles and realization process of project-based computer English learning system. The subjective initiative of project-based learning is applied to English learning as a starting point, allowing full play to learner’s analytical, problem-solving and self-exploration ability. Combined with the computer database SQL Server and other related procedures, we established an English project-based learning system, investigated its user satisfaction and collected relevant statistics. This system plays a promotive role in providing guidance for English learning and lifting the informatization level of English teaching.

scholarly journals An Empirical Study of the Effect of Multimedia Information Technology on College English Teaching

2020 ◽  
Vol 1 (1) ◽  
pp. 62-66
Author(s):  
Xiaoyu Luo
Keyword(s):  
Information Technology ◽  
Empirical Study ◽  
Multimedia Information ◽  
Learning Ability ◽  
English Learning ◽  
College English ◽  
English Teaching ◽  
Multimedia Teaching ◽  
Teachers And Students ◽  
English Major

In college English teaching, educators often use multimedia information technology to carry out teaching activities and present the corresponding curriculum content in detail. Based on two semesters of analysis and investigation, this paper presents an empirical study on multimedia teaching in two courses of a non-English major in one Chinese college. The results show that multimedia teaching technology can effectively enhance college students' interest in English learning, stimulate their enthusiasm, enhance the interaction between teachers and students, and cultivate their autonomous learning ability. The research suggests that colleges and universities should strengthen the hardware support and software facilities of multimedia-assisted teaching to promote the significant improvement of students' language ability.

Multi-Robot Path Planning Based on Learning Classifier System with Policy Gradient Reinforcement Learning and Support Vector Machine (PGRL-SVM)

2013 ◽  
Vol 347-350 ◽  
pp. 3208-3211
Author(s):  
Qiu Li Song ◽  
Jian Bao Zhao
Keyword(s):  
Genetic Algorithm ◽  
Path Planning ◽  
Search Space ◽  
Learning System ◽  
Learning Ability ◽  
Support Vector ◽  
Learning Classifier System ◽  
Learning Space ◽  
Classifier System ◽  
Learning Classifier

This paper presented a novel approach to solving the problem of robot avoidance collision planning. A Learning Classifier System is a accuracy-based machine learning system using gradient descent that combines covering operator and genetic algorithm. The covering operator is responsible for adjusting precision and large search space according to some reward obtained from the environment. The genetic algorithm acts as an innovation discovery component which is responsible for discovering new better path planning rules. The advantages of this approach are its accuracy-based representation, that can be easily reduce learning space,online learning ability,robustness due to the use of genetic algorithm.

scholarly journals On the Relationship of Students' English Learning Beliefs and Learning Strategy in the University

2018 ◽  
Vol 9 (1) ◽  
pp. 175
Author(s):  
Zhen Zhou
Keyword(s):  
Learning Strategy ◽  
Learning Ability ◽  
Male Students ◽  
Jiangxi Province ◽  
English Learning ◽  
Learning Beliefs ◽  
English Teaching ◽  
Memory Strategy ◽  
Social Strategy

The research conducts a questionnaire survey and interview on students' English learning beliefs and learning strategy in a particular college in Jiangxi province in order to have a better understanding of college students' English learning beliefs and learning strategy, and the results indicate that the learning beliefs of students is in a middle level, the mean of motivation expectation is the strongest, students overestimate learning difficulties, underestimate their own learning ability, and they have certain wrong beliefs on the understanding of the nature of learning; As for English learning strategy, students' using level is medium, compensation strategy is the most frequently used, and the least frequently used is the memory strategy and affective strategy. English learning beliefs and learning strategy are closely related; English learning beliefs and learning strategy are not correlated with English achievement respectively. Therefore, teachers should help students to establish correct learning beliefs, and pay attention to gender differences in English learning, enhance male students' self-confidence, encourage female students to enhance their confidence, and guide male students to use more memory strategy and social strategy in order to improve the quality of English teaching in normal universities. The purpose of this study is to better understand the English learning beliefs and learning strategy used by normal university students, and to provide some references for improving the quality of English teaching in universities.

Robot Reinforcement Learning Based on LCS-GDM

2013 ◽  
Vol 347-350 ◽  
pp. 416-420
Author(s):  
Yong Bin Ma
Keyword(s):  
Reinforcement Learning ◽  
Learning System ◽  
Learning Ability ◽  
Learning Classifier System ◽  
Learning Space ◽  
Rule Based ◽  
Classifier System ◽  
System A ◽  
Learning Classifier ◽  
Learning Rules

This paper proposed a robot reinforcement learning method based on learning classifier system. A learning Classifier System is a rule-based machine learning system that combines reinforcement learning and genetic algorithms. The reinforcement learning component is responsible for adjusting the strength of rules in the system according to some reward obtained from the environment. The genetic algorithm acts as an innovation discovery component which is responsible for discovering new better learning rules. The advantages of this approach are its rule-based representation, which can be easily reduce learning space, online learning ability, robustness .

Research of Mobile System Based on J2ME and Web

2014 ◽  
Vol 644-650 ◽  
pp. 6254-6257
Author(s):  
Hui Ying Gong ◽  
Wei Hong Zhao ◽  
Ying Li
Keyword(s):  
Web Technology ◽  
English Learning ◽  
Mobile System ◽  
Teaching System ◽  
Advanced Method ◽  
English Teaching ◽  
Education Environment ◽  
Teaching Design

It is studied that using the application of J2ME and Web technology is quite proper for the English mobile teaching design on movable equipment. The design goals and the overall framework of the system that need to achieve the user's learning requirements is related according to the English teaching system in the paper. It has been provided an advanced method and colorful education environment to improve English learning.

scholarly journals Design and Implementation of an Intelligent Online English Learning System Based on Mobile Internet Technology

2021 ◽  
Vol 16 (24) ◽  
pp. 108-120
Author(s):  
Ying Liu ◽  
Hong Yan
Keyword(s):  
Online Education ◽  
Basic Research ◽  
Modern Society ◽  
Mobile Internet ◽  
Learning System ◽  
Internet Technology ◽  
Traditional Teaching ◽  
English Teaching ◽  
Three Layer Architecture ◽  
Fast Development

A predicament facing education is that the traditional teaching mode could no longer meet the requirements of modern society. The fast development of mobile Internet technology has brought online education platforms into existence, and these newborn things are very helpful to solve the mentioned contradiction. To deepen the research of the application of mobile Internet technology in modern education, this paper designed the functional modules of an intelligent online English teaching (IOET) system and implemented the proposed system. In our study, satisfying students’ learning requirements had been taken as the core principle when building the proposed system, and the database design had followed the principles of standardization, consistency, security, integrity, scalability, and ease of maintenance. The IOET system adopts a three-layer architecture, from top down, the system has a representation layer, a business logic layer, and a data service layer. The main management modules of the system include course notification module, visitor management module, and homework management module, etc. Through this paper, we hope to provide a piece of evidence for the basic research on the upgrade and improvement of intelligent online English teaching platforms.

scholarly journals Current Situation and Analysis of College English Teaching Resource Database in English Teaching

2019 ◽  
Vol 3 (2) ◽  
pp. 187
Author(s):  
Hongyan Zhao
Keyword(s):  
Learning Ability ◽  
English Learning ◽  
Quality Teachers ◽  
Resource Base ◽  
Teaching Resources ◽  
Teachers Colleges ◽  
College English ◽  
English Teaching ◽  
Teaching Resource ◽  
Learning Platform

<p>College English, as a compulsory course in college, requires students to put a lot of energy into it. While providing students with high-quality teachers, colleges and universities should also create a good English learning environment for students. According to each student's learning habits and English foundation, an English learning platform should be built for students to meet the needs of different students as much as possible, that is, college English teaching resource database. The establishment of English teaching resource base should be based on information and network technology and popularized through campus network. At present, online English teaching resources on campus are insufficient, relevant equipment is idle, and teaching resources are seriously wasted, which cannot stimulate students' interest in learning English and cultivate their self-learning ability. This paper discusses the application and improvement of the existing college English resource base.</p>

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