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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.

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