Develop a New Mobile-Optimized Remote Experiment Application for Mobile Learning Conference Paper uri icon


  • American Society for Engineering Education, 2016. 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.

name of conference

  • 2016 ASEE Annual Conference & Exposition Proceedings

published proceedings

  • 2016 ASEE Annual Conference & Exposition Proceedings

author list (cited authors)

  • Lan, Q., Wang, N., Chen, X., Song, G., & Parsaei, H.

citation count

  • 3

complete list of authors

  • Lan, Qianlong||Wang, Ning||Chen, Xuemin||Song, Gangbing||Parsaei, Hamid

publication date

  • January 2016