ABSTRACT
As mobile learning (M-learning) has demonstrated increasing impacts on online education, more and more mobile applications are designed and developed for M-learning. In this chapter, a new mobile-optimized application architecture using Ionic framework is proposed to integrate remote laboratory (RL) into mobile environment for M-learning. With this mobile-optimized application architecture, remote experimental 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 (PID) control experiment has been successfully implemented based on this new application architecture. Its performance is validated by the Baidu mobile cloud testing bed.
