E-learning with Internet of Things

2022 ◽  
pp. 195-206
Author(s):  
Arun Kumar ◽  
Sharad Sharma ◽  
Sachin Dhawan ◽  
Nitin Goyal ◽  
Suman Lata Tripathi ◽  
...  
Keyword(s):  
Internet Of Things ◽  
E Learning

How IoT (Internet of Things) Can Shape Education

2019 ◽  
Author(s):  
Majid Bayani Abbasy ◽  
Miguel Arturo Corrales Ureña ◽  
Róger León Brenes ◽  
Mayra Loaiza Berrocal
Keyword(s):  
Internet Of Things ◽  
El Sistema ◽  
E Learning

Este documento se centra en la investigación relacionada con varios beneficios del e-learning en el sistema educativo inteligente. Este artículo presenta un análisis teórico. La aplicación de la tecnología de Internet de las cosas (IoT) como un fenómeno prevalente está creciendo y desarrollándose rápidamente en el mundo de la computación ubicua y digital. Una de las aplicaciones más visibles del IoT como conceptos emergentes, es la educación y el sistema de aprendizaje. IoT debido a sus ramas exclusivas, como la conectividad permanente entre las cosas (receptores IP), está cambiando el esquema actual del e-learning y la versión anterior del sistema de aprendizaje. Se desarrolla un modelo teórico multidimensional del sistema de aprendizaje inteligente para analizar cómo el IoT puede actualizar radicalmente el sistema de aprendizaje mediante la participación del elemento de inteligencia en la estructura de aprendizaje electrónico. Este trabajo finalmente describe los mayores impactos del uso del IoT en la plataforma de e-learning. La inteligencia, la cadena conectada, el acceso ilimitado en línea al aula (plataforma) más grande del mundo, son elementos destacados entre otros componentes que están configurando los enfoques reales de aprendizaje electrónico en una forma novedosa, eficiente, de alto rendimiento, en tiempo real e inteligente. La conclusión se puede utilizar como tema central para el estudio futuro de los investigadores.

The future of using Internet of Things (loTs) and Context-Aware Technology in E-learning

2020 ◽  
Author(s):  
Mohamed A. Amasha ◽  
Marwa F. Areed ◽  
Salem Alkhalaf ◽  
Rania A. Abougalala ◽  
Safaa M. Elatawy ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Context Aware ◽  
The Future ◽  
E Learning

E-Learning Based on Internet of Things

2016 ◽  
Vol 22 (11) ◽  
pp. 3294-3298
Author(s):  
Sok Pal Cho ◽  
Jeom-Goo Kim
Keyword(s):  
Internet Of Things ◽  
E Learning

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

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Atef Zaguia ◽  
Darine Ameyed ◽  
MohamedAmime Haddar ◽  
Omar Cheikhrouhou ◽  
Habib Hamam
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Driving Force ◽  
Learning Experience ◽  
Direct Result ◽  
The Internet ◽  
Context Aware ◽  
E Learning ◽  
The Internet Of Things ◽  
Remote Learning

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.

scholarly journals Ranking of barriers for the internet of things implementation in the E-learning platform

2021 ◽  
Author(s):  
Vinay Kumar Yadav ◽  
Sanjeev Yadav
Keyword(s):  
Internet Of Things ◽  
Success Factors ◽  
Learning System ◽  
The Internet ◽  
Technological Advancement ◽  
Structural Modelling ◽  
Interpretive Structural Modelling ◽  
Learning Platform ◽  
Modelling Methodology ◽  
E Learning

Abstract Learning through the Web or training via e-learning is rising exponentially and is gradually preferred by conventional ways of education and training. This massive change is directly related to digital computer technological advancement. The transformation driven by innovation in computer technology has enhanced the reach of e-learning and education, making the process of sharing knowledge easy, clear, and efficient. The E-learning system relies on various success factors from several viewpoints, such as framework, organisational alignment, instructor, and student support. This paper aims to identify the critical barriers to the Internet of Thing implementation in e-learning and to establish a relational relationship between identified barriers using the Interpretive Structural Modelling approach. This paper has established some primary barriers that are useful for Internet of Things implementation in E-learning by research scholars and industrial practitioners. For the study of the driving force and dependency power of the E-learning barrier, Interpretive Structural Modelling methodology was used to classify interrelationships between barriers for improved understanding and relationships between these barriers, and Management Cross Impact Multiplications were conducted to estimate the magnitude of these relationships. Applied to classification analysis, which is used for analysing the driving power and dependence power of E-learning barriers.

scholarly journals A Lightweight One Time Password (OTP) Based Smart Learning in Internet of Things

2018 ◽  
Vol 7 (2.7) ◽  
pp. 480
Author(s):  
Nithin Rao Kadham ◽  
Sreenivasa Ravi.K
Keyword(s):  
Internet Of Things ◽  
General Nature ◽  
The Internet ◽  
Smart Learning ◽  
Xor Operation ◽  
E Learning ◽  
One Time Password ◽  
Access To Data ◽  
Learning Frameworks ◽  
The Internet Of Things

The Internet of Things is another worldview that is changing processing. It is expected that all items around us are associated with the system, giving "whenever, anyplace" access to data. This idea is making progress, because of advances in nanotechnology which permits the making of gadgets fit for interfacing with the Internet productively. Presently a day countless are associated with the web, running from cell phones to machines. In this paper we concentrate on the instruction field, this paper manages the use of the ideas of Internet of Things and its application in making brilliant condition. The particular objective is to plan a keen situation for upgrading the instructing and learning forms at colleges. The earth ought to incorporate sufficient ideas of keen structures and brilliant classrooms with e-learning frameworks, to furnish understudies with cutting edge e-learning administrations and administrations that enhance the general nature of understudies' understanding. In this paper, we have proposed a safe biometric, One Time Password (OTP) and ace key based validation framework in IoT organize. The confirmation convention utilizes XOR operation and lightweight hash operation. The security examination demonstrates that it is safe against various assaults. 

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