Mobile Learning System Structure and Learning Model Based on Cloud Computing

2013 ◽  
pp. 191-197
Author(s):  
Meilian Chen ◽  
Yan Ma ◽  
Mingyong Li ◽  
Yanhui Ran
Keyword(s):  
Cloud Computing ◽  
Mobile Learning ◽  
Learning Model ◽  
Learning System ◽  
System Structure ◽  
Model Based ◽  
Mobile Learning System

scholarly journals A Preliminary Study of English Mobile Learning Model Based on Constructivism

2019 ◽  
Vol 9 (9) ◽  
pp. 1167
Author(s):  
Jiaosheng Qiu
Keyword(s):  
Mobile Learning ◽  
Learning Theory ◽  
Learning Model ◽  
Learning System ◽  
Constructivist Learning Theory ◽  
Model Based ◽  
Preliminary Study ◽  
Learning At Home ◽  
Mobile Learning System ◽  
Implementation Steps

This paper aims at exploring the model of English mobile learning system based on constructivism. Firstly, it defines the concepts of constructivism, constructivism learning theory, mobile learning and mobile learning theory. Then, it summarizes and analyses the relevant researches on mobile learning at home and abroad. Then it elaborates the purpose, significance and research value of the topic, respectively. The research hypothesis is put forward, and the English mobile learning model based on constructivist learning theory is preliminarily expounded. Finally, the research ideas, research methods, technical routes and implementation steps are explained.

Design of Mobile Learning System Based on Cloud Computing

2013 ◽  
Vol 462-463 ◽  
pp. 1005-1010
Author(s):  
Zheng Nong
Keyword(s):  
Cloud Computing ◽  
Mobile Learning ◽  
Learning System ◽  
Independent Learning ◽  
Computing Technology ◽  
Mobile Learning System ◽  
Design And Application

The application of cloud computing technology provides a new idea for the development of mobile learning.Based on the analysis of the advantages of cloud computing to support mobile learning, The paper presents a complete design and application of mobile learning system based on cloud computing ,effectively to promote independent learning and collaborative exchange of the students, but also to provide the reference for the solution of mobile learning system based on cloud computing.

Research of Mobile Learning System for Music Appreciation Class Based on Cloud Computing

2013 ◽  
Vol 774-776 ◽  
pp. 1790-1793
Author(s):  
Xiaoliang Sun
Keyword(s):  
Cloud Computing ◽  
Mobile Learning ◽  
Learning System ◽  
Music Appreciation ◽  
Computing Technology ◽  
Education Development ◽  
Mobile Learning System

The application of cloud computing technology provides a new idea to the development of mobile learning. The applications based on cloud computing is focus on the solution of music appreciation class in the paper. The design of mobile learning system for music appreciation class based on cloud computing is proposed and the related concepts of cloud computing is briefly introduced. The topology of the system is given. In the end, it shows deeply mobile learning system class based on cloud computing is the urgency of education development. It can provide the better services of music appreciation class.

Development of Mobile Learning-Based Learning Model in Higher Education Using the Addie Method

2020 ◽  
Vol 17 (2) ◽  
pp. 911-917
Author(s):  
Dwi Prasetyo ◽  
Basuki Wibawa ◽  
Diana Nomida Musnir
Keyword(s):  
Mobile Learning ◽  
Learning Process ◽  
Teaching And Learning ◽  
Positive Impact ◽  
Learning Model ◽  
Learning System ◽  
Successful Implementation ◽  
Mobile Learning System ◽  
Very High

Learning model is a series of meetings in the teaching and learning process that occurs between lecturers and students in college. Along with the development of information technology through mobile learning, the learning process also experiences a positive impact, namely by utilizing smartphone devices. The purpose of this study is: accelerate transformation and facilitate communication learning between lecturers and students. The method used in this study is ADDIE method. The results expected with the support of smartphone devices can improve the quality of students. So that lecturers and students can interact in the teaching and learning process without being constrained by space and time. The optimism of the successful implementation of this Mobile Learning system is very high because the facilities and atmosphere of various parties are very supportive coupled with the need to be a priority requirement for everyone in this case students or students.

Mobile Learning System based on Cloud Computing

2013 ◽  
Vol 8 (11) ◽  
Author(s):  
Meilian Chen ◽  
Yan Ma ◽  
Yikun Liu ◽  
Fan Jia ◽  
Yanhui Ran ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Mobile Learning ◽  
Learning System ◽  
Mobile Learning System

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.

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