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

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 proceeding › Conference contribution › peer-review

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 language	English
Title of host publication	Proceedings of the 2018 International Conference on Internet Computing & Internet of Things
Subtitle of host publication	ICOMP'18
Editors	Hamid R. Arabnia, Leonidas Deligiannidis, Fernando G. Tinetti
Publisher	CSREA Press
Pages	108-113
Number of pages	6
ISBN (Print)	1601324820, 9781601324825
Publication status	Published - 31 Dec 2018
Event	The 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 2018 → 2 Aug 2018 Conference number: 19 https://americancse.org/events/csce2018/conferences/icomp18

Conference

Conference	The World Congress in Computer Science, Computer Engineering & Applied Computing CSCE'18
Abbreviated title	ICOMP'18
Country/Territory	United States
City	Las Vegas
Period	30/07/18 → 2/08/18
Internet address	https://americancse.org/events/csce2018/conferences/icomp18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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https://csce.ucmss.com/cr/books/2018/LFS/CSREA2018/ICM9036.pdfLicence: Unspecified

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

@inproceedings{bd21cf24d49e482cb366591ea44d743f,

title = "Wireless Response System for multidisciplinary teaching and learning: Case studies",

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{\textquoteright} feedback, concentration and confidence",

keywords = "Mobile Learning, Wireless Response System, Multidiscipline, Internet, pervasive computing, engagement, confidence",

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

year = "2018",

month = dec,

day = "31",

language = "English",

isbn = "1601324820",

pages = "108--113",

editor = "Arabnia, {Hamid R.} and Leonidas Deligiannidis and Tinetti, {Fernando G.}",

booktitle = "Proceedings of the 2018 International Conference on Internet Computing & Internet of Things",

publisher = "CSREA Press",

address = "United States",

note = "The World Congress in Computer Science, Computer Engineering & Applied Computing CSCE'18 : International Conference on Internet Computing and Internet of Things, ICOMP'18 ; Conference date: 30-07-2018 Through 02-08-2018",

url = "https://americancse.org/events/csce2018/conferences/icomp18 ",

}

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 HR Arabnia, L Deligiannidis & FG Tinetti (eds), Proceedings of the 2018 International Conference on Internet Computing & Internet of Things: ICOMP'18. CSREA Press, pp. 108-113, The World Congress in Computer Science, Computer Engineering & Applied Computing CSCE'18, Las Vegas, Nevada, United States, 30/07/18. <https://csce.ucmss.com/cr/books/2018/LFS/CSREA2018/ICM9036.pdf>

Wireless Response System for multidisciplinary teaching and learning : Case studies. / Lu, Joan; Xu, Qiang; Joy, Mike et al.

Proceedings of the 2018 International Conference on Internet Computing & Internet of Things: ICOMP'18. ed. / Hamid R. Arabnia; Leonidas Deligiannidis; Fernando G. Tinetti. CSREA Press, 2018. p. 108-113.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Wireless Response System for multidisciplinary teaching and learning

T2 - The World Congress in Computer Science, Computer Engineering & Applied Computing CSCE'18

AU - Lu, Joan

AU - Xu, Qiang

AU - Joy, Mike

AU - McKenna, Simon

AU - Panowska, Malgorzata

AU - Toddington, Stuart

AU - Boyarchuk, Artem

AU - Guo, Shulun

N1 - Conference code: 19

PY - 2018/12/31

Y1 - 2018/12/31

N2 - 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

AB - 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

KW - Mobile Learning

KW - Wireless Response System

KW - Multidiscipline

KW - Internet

KW - pervasive computing

KW - engagement

KW - confidence

UR - https://csce.ucmss.com/cr/books/2018/ConferenceReport?ConferenceKey=ICM

UR - https://americancse.org/events/csce2018/conferences/icomp18

M3 - Conference contribution

SN - 1601324820

SN - 9781601324825

SP - 108

EP - 113

BT - Proceedings of the 2018 International Conference on Internet Computing & Internet of Things

A2 - Arabnia, Hamid R.

A2 - Deligiannidis, Leonidas

A2 - Tinetti, Fernando G.

PB - CSREA Press

Y2 - 30 July 2018 through 2 August 2018

ER -

Wireless Response System for multidisciplinary teaching and learning: Case studies

Abstract

Conference

UN SDGs

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