Design of a New Mobile-Optimized Remote Laboratory Application Architecture for M-Learning

作者：Wang Ning^*; Chen Xuemin; Song Gangbing; Lan Qianlong; Parsaei Hamid R

来源：IEEE Transactions on Industrial Electronics, 2017, 64(3): 2382-2391.

DOI：10.1109/TIE.2016.2620102

• Ionic framework
• mobile learning (M-learning)
• mobile-optimized application architecture
• remote laboratory
• unified framework

As mobile learning (M-Learning) has demon-strated 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 ap-plication architecture using Ionic framework is proposed to integrate the remote laboratory into mobile environment for the M-Learning. With this mobile-optimized application ar-chitecture, 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 newarchitecture 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.

• 出版日期2017-3