Volume 9 Number 4 (Dec. 2019)
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IJEEEE 2019 Vol.9(4): 324-330 ISSN: 2010-3654
doi: 10.17706/ijeeee.2019.9.4.324-330

Use of a Student Response System in Primary Schools — An Empirical Study

Joan Lu, Mike Joy, Gail Newton, James Robert, Mohammed Yousef, Simon McKenna
Abstract—This paper reports a pilot study for a student response system (SRS) used in an English school. The technology used is the “Wireless Response System” – WRS developed at Huddersfield University, and the learning activities were conducted in Mathematics and English classes. The main concepts – activity based, problem based and opinion based learning – are adopted into the study. A case study was the method used in the investigation. The results show that the system is suitable for different sizes groups of users, who may choose their preferred question types. The school claims the use of WRS was successful, evidenced by the data collected, and the children and teachers were interested in using it. We conclude that the SRS can assist teachers in classroom teaching at primary school level, especially in the observations of engagement and effectiveness of students’ learning.

Index Terms—Mobile learning, student response system, primary school, teaching and learning, engagement, confidence, active learning.

Joan Lu and Simon McKenna are with Huddersfield University, Huddersfield, UK (email: j.lu@hud.ac.uk).
Mike Joy is with Warwick University, Coventry, UK.
Gail Newton, James Robert, Mohammed Yousef are with Federation of Scapegoat Hill J&I and Linthwaite Clough JI&EY Schools, Huddersfield, UK.

Cite: Joan Lu, Mike Joy, Gail Newton, James Robert, Mohammed Yousef, Simon McKenna, "Use of a Student Response System in Primary Schools — An Empirical Study," International Journal of e-Education, e-Business, e-Management and e-Learning vol. 9, no. 4, pp. 324-330, 2019.

General Information

ISSN: 2010-3654 (Online)
Abbreviated Title: Int. J. e-Educ. e-Bus. e-Manag. e-Learn.
Frequency: Quarterly
Editor-in-Chief: Prof. Kuan-Chou Chen
Executive Editor: Ms. Nancy Lau
Abstracting/ Indexing: EBSCO, Google Scholar, Electronic Journals Library, QUALIS, ProQuest, EI (INSPEC, IET)
E-mail: ijeeee@iap.org
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