Title: Towards a ubiquitous students' response system for monitoring learning performances

Authors: Aimad Karkouch; Hassan Al Moatassime; Hajar Mousannif

Addresses: OSER Research Team, FSTG, Cadi Ayyad University, Marrakesh, Morocco ' OSER Research Team, FSTG, Cadi Ayyad University, Marrakesh, Morocco ' LISI Laboratory, FSSM, Cadi Ayyad University, Marrakesh, Morocco

Abstract: Receiving feedback from students about their learning experience is a key part of any pedagogical approach. Students' feedback could be retrieved in a variety of ways using various students response systems (SRS); however, existing SRS suffer from lack of seamless integration into learning environments, becoming a potential source of distraction for the learning process. We propose a ubiquitous students response system (U-SRS) that is capable of continuously and seamlessly monitoring various students' learning performances features, making sense of them and providing insights for teachers, enabling them to adapt their pedagogical approach according to their students immediate needs. The proposed U-SRS takes advantages of machine learning and the internet of things paradigm to enable its services in connected classrooms. We present our solution's design, its architecture and features used to build learning performance predictive models along with implementation and various prototypes. Finally, we highlight the advantages of U-SRS over existing solutions.

Keywords: students response system; SRS; students feedback; internet of things; machine learning.

DOI: 10.1504/IJIE.2019.101132

International Journal of Intelligent Enterprise, 2019 Vol.6 No.2/3/4, pp.242 - 261

Received: 03 Jan 2018
Accepted: 14 Jan 2019
Published online: 24 Jul 2019 *

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