Location-based mobile learning system facilitating English learning

Author(s):  
Svetlana Zubanova ◽  
Elvira Didenko ◽  
Irina Karabulatova
2011 ◽  
Vol 403-408 ◽  
pp. 1548-1551
Author(s):  
Zhi Jun Wang ◽  
Xiao Tang

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.


Author(s):  
Xin Zhang ◽  
Jingxuan Bi

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.


Author(s):  
Na Wei ◽  
ZhongWu Li

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.


2011 ◽  
Vol 271-273 ◽  
pp. 1160-1163
Author(s):  
Yan Xin Hu

Introduced the mobile learning content, analyzed the basic features of mobile learning, designed mobile leaening system based on campus, and each function module of mobile learning system.


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