Develop a new mobile-optimized remote experiment application for mobile learning

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2016 ASEE Annual Conference and Exposition
PublisherAmerican Society for Engineering Education
Volume2016-June
Publication statusPublished - 26 Jun 2016
Externally publishedYes
Event123rd ASEE Annual Conference and Exposition - New Orleans, United States
Duration: 26 Jun 201629 Jun 2016

Other

Other123rd ASEE Annual Conference and Exposition
CountryUnited States
CityNew Orleans
Period26/6/1629/6/16

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Experiments
Education

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Lan, Q., Wang, N., Chen, X., Song, G., & Parsaei, H. (2016). Develop a new mobile-optimized remote experiment application for mobile learning. In 2016 ASEE Annual Conference and Exposition (Vol. 2016-June). American Society for Engineering Education.

Develop a new mobile-optimized remote experiment application for mobile learning. / Lan, Qianlong; Wang, Ning; Chen, Xuemin; Song, Gangbing; Parsaei, Hamid.

2016 ASEE Annual Conference and Exposition. Vol. 2016-June American Society for Engineering Education, 2016.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Lan, Q, Wang, N, Chen, X, Song, G & Parsaei, H 2016, Develop a new mobile-optimized remote experiment application for mobile learning. in 2016 ASEE Annual Conference and Exposition. vol. 2016-June, American Society for Engineering Education, 123rd ASEE Annual Conference and Exposition, New Orleans, United States, 26/6/16.
Lan Q, Wang N, Chen X, Song G, Parsaei H. Develop a new mobile-optimized remote experiment application for mobile learning. In 2016 ASEE Annual Conference and Exposition. Vol. 2016-June. American Society for Engineering Education. 2016
Lan, Qianlong ; Wang, Ning ; Chen, Xuemin ; Song, Gangbing ; Parsaei, Hamid. / Develop a new mobile-optimized remote experiment application for mobile learning. 2016 ASEE Annual Conference and Exposition. Vol. 2016-June American Society for Engineering Education, 2016.
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