Design of a New Mobile-Optimized Remote Laboratory Application Architecture for M-Learning
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2016 IEEE. As mobile learning (M-Learning) has demonstrated increasing impacts on online education, more and more mobile applications are designed and developed for the M-Learning. In this paper, a new mobile-optimized application architecture using Ionic framework is proposed to integrate the remote laboratory into mobile environment for the M-Learning. With this mobile-optimized application architecture, remote experiment applications can use a common codebase to deploy native-like applications on many different mobile platforms such as iOS, Android, Windows Mobile, and Blackberry. To demonstrate the effectiveness of the proposed new architecture for M-Learning, an innovative remote networked proportional-integral-derivative control experiment has been successfully implemented based on this new application architecture. The performance is validated by the Baidu mobile cloud testing bed.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
author list (cited authors)
Wang, N., Chen, X., Song, G., Lan, Q., & Parsaei, H. R.
complete list of authors
Wang, Ning||Chen, Xuemin||Song, Gangbing||Lan, Qianlong||Parsaei, Hamid R