Improvement of Student Attention Monitoring Supported by Precision Sensing in Learning Management Systems

Author:

Filipa Valada Pereira Artífice Andreia,Sarraipa João,Jardim-Goncalves Ricardo

Abstract

A Learning Management Systems (LMS) can benefit from the inclusion Computer-Mediated-Communications (CMC) software for delivering materials. Incorporating CMC tools in virtual classrooms or implementing educational blogs, can be very effective in e-learning platforms. In such student-centered interaction scenarios, it is important to monitor and manage student attention in a precise way to enhance student performance. Sensing with precision through 6G/7G technology allows to include electronic and software devices to produce such monitoring. This chapter contextualizes and describes an abstraction application scenario of sensing and monitoring student attention with high precision in Learning Management System with new communication systems. In that context, technology (e.g. sensors), is used to perform automatic attention monitoring, helping to manage students in e-Learning. Additionally, the document presents a possible scenario which supports intelligent services to the monitoring of student attention during e-learning activities in the context of Smart HEI (Higher Education Institutes).

Publisher

IntechOpen

Reference44 articles.

1. M. A. Flores and A. Swennen, “The COVID-19 pandemic and its effects on teacher education,” Eur. J. Teach. Educ., vol. 43, no. 4, pp. 453-456, 2020, doi: 10.1080/02619768.2020.1824253

2. W. H. Organization., “WHO Director-General’s opening remarks at the media briefing on COVID-19,” 2020. https://www.who.int/dg/speeches/detail/ who-director-general-s-opening-remarks-at-the-mediabriefing-on-COVID-19---11-march-2020

3. R. Riedl, F. D. Davis, and A. R. Dennis, “On the Foundations of NeuroIS : Reflections on the Gmunden Retreat 2009 On the Foundations of NeuroIS : Reflections on the Gmunden Retreat,” vol. 27, 2010, doi: 10.17705/1CAIS.02715

4. H. U. Hoppe, R. Joiner, M. Milrad, and M. Sharples, “Technologies in Education,” pp. 255-259, 2003

5. W. Miller, “iTeaching and Learning Tablets,” Libr. Technol. Rep., vol. 48, no. 8, pp. 54-60, 2012

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