Develop a New Mobile-Optimized Remote Experiment Application for Mobile Learning
Author(s) -
Qianlong Lan,
Ning Wang,
Xuemin Chen,
Gangbing Song,
Hamid R. Parsaei
Publication year - 2016
Language(s) - English
Resource type - Conference proceedings
DOI - 10.18260/p.26709
Subject(s) - computer science , html5 , multimedia , mobile technology , mobile device , world wide web
As Mobile Learning (M-Learning) has had a great impact on online education, more and more mobile applications are designed and developed for the M-Learning. In this paper, a novel mobile-optimized application architecture is proposed to integrate the remote laboratory into mobile environment for the M-Learning. With this mobile optimized application architecture, the remote experiment applications can use a common codebase to deploy native-like applications on many different mobile platforms (such as, iOS, Android, Window Mobile, etc.). To demonstrate the effectiveness of proposed new architecture for M-Learning, an innovative remote networked Smart Vibration Platform (SVP) experiment is successfully implemented based on this new application architecture. This remote SVP experiment has been used in several engineering courses.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom