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Develop a New Mobile-Optimized Remote Experiment Application for Mobile Learning

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2016 ASEE Annual Conference & Exposition


New Orleans, Louisiana

Publication Date

June 26, 2016

Start Date

June 26, 2016

End Date

June 29, 2016





Conference Session

Entrepreneurship & Engineering Innovation Division Technical Session 10

Tagged Division

Entrepreneurship & Engineering Innovation

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Paper Authors


Qianlong Lan Texas Southern University

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Dpt. of Computer Science
Graduate Student

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Ning Wang


Xuemin Chen Texas Southern University

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Dr. Xuemin Chen is the founding Director of Virtual and Remote Laboratory and an Associate Professor of Electrical and Computer Engineering at the Texas Southern University.

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Gangbing Song University of Houston (CoE)


Hamid R. Parsaei Texas A&M University at Qatar

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Hamid R. Parsaei is a Professor of Mechanical Engineering and Director of Academic Outreach Office at Texas A&M University at Qatar. Dr. Parsaei is also a Professor of Industrial and Systems Engineering and Mechanical Engineering in Texas A&M University in College Station. Dr. Parsaei is a Fellow of American Society for Engineering Education and Fellow of Institute of Industrial Engineers. He has published over 250 articles in the refereed archival journals and conference proceedings. Dr. Parsaei is a registered professional engineer in Texas.

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With the mobile and portable computing technology rapid development, the Mobile Learning has become a very hot topic and had a great impact on online education and online researching. A research by Global Industry Analysts (GIA) states that the “E-Learning market is one of the most rapidly growing sectors in the global education industry”. E-Learning, which was instituted on desktops in the beginning, has gradually shifted its base to portable tablets and smart phones. Mobile learning (M-Learning) is a revolution in E-Learning, and M-Learning continues to be a major technology trend as we move in future. Consequently, the mobile-optimized remote experiment application design and implementation already becomes an essential issue. To resolve this issue and improve our current remote laboratory to better support the M-Learning, an advanced HTML5 (Hyper Text Markup Language) hybrid mobile application platform, Ionic platform, is integrated into our novel easy-to-use unified framework for remote laboratory development. With the Ionic platform, we successfully upgraded the unified framework to support M-Learning applications development. In this paper, we present an improved unified framework to support M-Learning. Meanwhile, a new mobile-optimized remote SVP (Smart Vibration Platform) experiment application as a case study is successfully implemented for M-Learning. The Ionic platform emerges as the first full-stack service platform for building and scaling mobile applications with HTML5 technology. The Ionic platform is built with Syntactically Awesome Style Sheets (Sass), which is a mature, stable, and powerful professional grade Cascading Style Sheets (CSS) extension language. It also utilizes AngularJS to create a powerful software development kit (SDK) to develop dynamic high efficient and robust mobile applications. As lots of functional application programming interfaces (APIs) are developed for the interactive features mobile application development, more and more mobile operating system (OS) are supported by Ionic platform. For the new unified framework integration, we design and implement the Web-View rendering engine for the interactive remote experiment mobile applications development. The Ionic platform combined with AngularJS works as a medium layer between Web-View rendering engine and the core of the unified framework. In order to demonstrate the new mobile-optimized application based on the improved unified framework, we implemented a remote SVP experiment as an example. With the Model-View-Controller architecture, the new mobile-optimized application becomes more efficient and has a better user experience. With the new remote experiment mobile-optimized applications enabled by the improved unified framework, users can operate or view the real-time remote experiments through the portable devices and smart phones anywhere at any time. This improved unified framework will significantly benefit future remote laboratory developments.

Lan, Q., & Wang, N., & Chen, X., & Song, G., & Parsaei, H. R. (2016, June), Develop a New Mobile-Optimized Remote Experiment Application for Mobile Learning Paper presented at 2016 ASEE Annual Conference & Exposition, New Orleans, Louisiana. 10.18260/p.26709

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