Wireless Response System for multidisciplinary teaching and learning: Case studies

Joan Lu, Qiang Xu, Mike Joy, Simon McKenna, Malgorzata Panowska, Stuart Toddington, Artem Boyarchuk, Shulun Guo

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

Abstract

This paper reports an investigation of a mobile learning technology used across sectors and internationally. The technology developed by the University of Huddersfield is the Wireless Response System – WRS. In order to evaluate WRS, learning activities were conducted in Economics, Engineering, Language and Law departments of European universities and Chinese University, including Huddersfield University in UK. The data collected from the studies evidence the success of the technology and its application. The university students were interested in using it, and we conclude that the WRS can assist classroom teachers with students of different disciplines and countries, especially in observing students’ feedback, concentration and confidence
Original languageEnglish
Title of host publicationProceedings of the 2018 International Conference on Internet Computing & Internet of Things
Subtitle of host publicationICOMP'18
EditorsHamid R. Arabnia, Leonidas Deligiannidis, Fernando G. Tinetti
PublisherCSREA Press
Pages108-113
Number of pages6
ISBN (Print)1601324820, 9781601324825
Publication statusPublished - 31 Dec 2018
EventThe World Congress in Computer Science, Computer Engineering & Applied Computing CSCE'18: International Conference on Internet Computing and Internet of Things - Luxor (MGM), Las Vegas, United States
Duration: 30 Jul 20182 Aug 2018
Conference number: 19
https://americancse.org/events/csce2018/conferences/icomp18

Conference

ConferenceThe World Congress in Computer Science, Computer Engineering & Applied Computing CSCE'18
Abbreviated titleICOMP'18
CountryUnited States
CityLas Vegas
Period30/07/182/08/18
Internet address

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  • Cite this

    Lu, J., Xu, Q., Joy, M., McKenna, S., Panowska, M., Toddington, S., Boyarchuk, A., & Guo, S. (2018). Wireless Response System for multidisciplinary teaching and learning: Case studies. In H. R. Arabnia, L. Deligiannidis, & F. G. Tinetti (Eds.), Proceedings of the 2018 International Conference on Internet Computing & Internet of Things: ICOMP'18 (pp. 108-113). CSREA Press. https://csce.ucmss.com/cr/books/2018/LFS/CSREA2018/ICM9036.pdf