scholarly journals Research on Mobile English Learning System Based on iOS

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Xiaofei Zhen
Keyword(s):  
Mobile Learning ◽  
Data Access ◽  
Feedback Mechanism ◽  
Learning System ◽  
Practical Significance ◽  
Learning Resources ◽  
English Learning ◽  
Response Delay ◽  
Calculation Results ◽  
Access Request

In order to improve the use experience of mobile learning and reduce the response delay caused by the slow positioning of system resources, research on mobile English learning systems based on iOS is proposed. Firstly, the value of realizing mobile learning is objectively analyzed, and the practical significance of the research is clarified from the perspectives of social development and learning conditions. On this basis, taking the intelligent client equipped with an iOS operating system as the hardware condition of the system, the system architecture, including data access layer, business logic layer, and presentation layer, is constructed by MVC. In the model module, it is divided into ten difficulty levels by using the frequency of vocabulary, the length of words, and the number of syllables of a single word. The learning resources of the reading class are uniformly represented by the vector space model, and the improved TF-IDF is used to calculate the weight of eigenvalues in the resources. According to the calculation results, the resources are also divided into ten difficulty levels, and the divided resources correspond to their respective databases and use regular expressions to find the learning resources that match the access request. Finally, with the support of the iOS protocol, the feedback mechanism between each module is constructed by Express.js. By analyzing the access requests sent and received by the view, the timely call to the target database resources is realized to improve the response rate of the system. The test results show that the function of the designed system can be realized stably, and the module response delay time is stable within 1s; under the ideal network environment, the buffer delay is in the range of 0.4–0.6 s, and the loading delay is no more than 1.8 s when the network speed is 3 Mpbs, which has a good user experience.

Design and Research on Adult English Learning System Based on the Mobile Technology

2011 ◽  
Vol 403-408 ◽  
pp. 1548-1551
Author(s):  
Zhi Jun Wang ◽  
Xiao Tang
Keyword(s):  
Adult Education ◽  
Adult Learners ◽  
Mobile Learning ◽  
Communication Technology ◽  
Rapid Development ◽  
Learning System ◽  
Information Network ◽  
English Learning ◽  
Total Quality ◽  
Mobile Learning System

Recently, with the rapid development of information network and communication technology, Mobile learning has playing an important role in people's studying and working and becomes the focus and tendency of distance learning. On the other hand, adult education as a supplement of ordinary education has playing an important role in improving labors' total quality, For adult learners are busy for work and they only have to learn at spare moment, so the form of adult education should be more flexible, not only limit to television university and night college. Mobile learning is flexible and individual which can provide adult learners a good way to learn. This issue's aim is to design and develop an adult English mobile learning system.

scholarly journals Design of a College English Mobile Learning System Based on CAD Model

2018 ◽  
Vol 13 (04) ◽  
pp. 139 ◽  
Author(s):  
Xin Zhang ◽  
Jingxuan Bi
Keyword(s):  
Theoretical Model ◽  
Mobile Learning ◽  
Teaching Quality ◽  
Mobile Internet ◽  
Learning System ◽  
Cad Model ◽  
English Learning ◽  
College English ◽  
Learning Platform ◽  
Mobile Learning System

With the development of mobile Internet technology and the advent of the information age, people's demand for mobile learning is growing and the studies on mobile English learning platform are also drawing more and more attention. In this article, firstly, the background of mobile learning is introduced and a Conversation-Activity-Distribution theoretical model, CAD, is proposed with activity theory, situation cognition theory and distributed cognition theory as the cognitive basis. Then, the students’ demand and expectations for implementation, function and content of the mobile learning system are learned by the combination of experiential researches and questionnaire surveys. A model of college English mobile learning system is proposed based on the CAD model, the overall structure of the model is discussed and its various functional modules introduced. With vocabulary learning as case design, the process design, function design and adaptive design of the system are introduced and the functional interface to the system demonstrated. Theoretically, this article enriches the theoretical basis of mobile learning and improves the methods of mobile learning system. Practically, through the studies on related learning theories, it puts forward a CAD theoretical model and carries out the case study on English vocabulary, which are conducive to the popularization of mobile learning in English learning and the improvement of teaching quality.

scholarly journals Design and Implementation of a College English Listening Learning System Based on Android Platform

2018 ◽  
Vol 13 (07) ◽  
pp. 43
Author(s):  
Hongbo Huang
Keyword(s):  
College Students ◽  
Language Learning ◽  
Mobile Learning ◽  
Learning Theory ◽  
Feedback Mechanism ◽  
Learning System ◽  
Output Process ◽  
College English ◽  
Design And Implementation ◽  
Android Platform

To create a good English listening learning environment for college students, based on the Android platform and learning from mobile learning theory and language learning theory, Android software platform was applied to design and develop a learning system for college students' English listening. The system could provide a relatively complete listening learning system accord-ing to the listening cognition rule, increase the intelligence test, strengthen the listening training and feedback mechanism, help improve the listening level step by step, and improve the input and output process of listening learning. The practice showed that the system could effectively improve the learning effect of college students' English listening mobile learning.

scholarly journals Telepresence and Interactivity in Mobile Learning System: Its Relation with Open Innovation

2021 ◽  
Vol 7 (1) ◽  
pp. 78
Author(s):  
Na Wei ◽  
ZhongWu Li
Keyword(s):  
Technology Acceptance ◽  
Mobile Learning ◽  
Open Innovation ◽  
Online Survey ◽  
Mediating Effect ◽  
Learning System ◽  
Equation Modeling ◽  
Flow Experience ◽  
Mobile Learning System ◽  
System Characteristics

Mobile learning applications enable people to spend fragmented time to improve their knowledge and competitiveness. Enterprises aim to design innovative applications and create a new learning mode for the public, and the open innovation strategies may help companies achieve their goals. In the current study, the English learning application “LAIX” was investigated, and an online survey was used to obtain data from 289 university students in Guangzhou. This study combines the technology acceptance model (TAM) with flow theory (FT), investigating the psychological experience factors and the system characteristics that influence users’ behavior intentions. The exploration of perceptual variables will promote the establishment of an open innovation model of mobile learning applications. The aim of the study was to establish a theoretical framework to more deeply explore users’ intentions in mobile learning applications. Structural equation modeling (SEM) was used to help measure the relationship between variables and determine the model fit. This research reveals that telepresence is the most important variable that impacts user intentions to use mobile learning applications. In addition, the mediating effect of the flow experience was tested. Telepresence and interactivity indirectly influence behavioral intention through the variable “flow”. Users appear to be more concerned with the flow experience, which shows the highest correlation with intention to use the application. This study may assist companies to innovate system characteristics and improve customers’ user experience, for instance, by integrating virtual reality (VR) technology into the mobile learning system to improve their open innovation level and market popularity.

Sign in / Sign up

Export Citation Format

Share Document