Cognitive IoT-Based e-Learning System: Enabling Context-Aware Remote Schooling during the Pandemic

Author:

Zaguia Atef1ORCID,Ameyed Darine2ORCID,Haddar MohamedAmime3ORCID,Cheikhrouhou Omar4ORCID,Hamam Habib56ORCID

Affiliation:

1. Computer Sciences Department, College of CIT, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia

2. System Engineering Department, Ecole de Technologie Supérieure, University of Quebec, Montreal, Canada

3. Information Technology Department, College of CIT, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia

4. CES Laboratory National School of Engineers of Sfax, University of Sfax, Sfax 3038, Tunisia

5. Faculty of Engineering, Uni de Moncton, New Brunswick, Canada

6. School of Elect. Eng. and Electronic Eng., University of Johannesburg, Johannesburg, South Africa

Abstract

The 2019–2020 coronavirus pandemic had far-reaching consequences beyond the spread of the disease and efforts to cure it. Today, it is obvious that the pandemic devastated key sectors ranging from health to economy, culture, and education. As far as education is concerned, one direct result of the spread of the pandemic was the resort to suspending traditional in-person classroom courses and relying on remote learning and homeschooling instead, by exploiting e-learning technologies, but many challenges are faced by these technologies. Most of these challenges are centered around the efficiency of these delivery methods, interactivity, and knowledge testing. These issues raise the need to develop an advanced smart educational system that assists home-schooled students, provides teachers with a range of smart new tools, and enable a dynamic and interactive e-learning experience. Technologies like the Internet of things (IoT) and artificial intelligence (AI), including cognitive models and context-awareness, can be a driving force in the future of e-learning, opening many opportunities to overcome the limitation of the existing remote learning systems and provide an efficient reliable augmented learning experience. Furthermore, virtual reality (VR) and augmented reality (AR), introduced in education as a way for asynchronous learning, can be a second driving force of future synchronous learning. The teacher and students can see each other in a virtual class even if they are geographically spread in a city, a country, or the globe. The main goal of this work is to design and provide a model supporting intelligent teaching assisting and engaging e-learning activity. This paper presents a new model, ViRICTA, an intelligent system, proposing an end-to-end solution with a stack technology integrating the Internet of things and artificial intelligence. The designed system aims to enable a valuable learning experience, providing an efficient, interactive, and proactive context-aware learning smart services.

Funder

Taif University

Publisher

Hindawi Limited

Subject

Health Informatics,Biomedical Engineering,Surgery,Biotechnology

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