IoT in Education: Integration of Objects with Virtual Academic Communities

Marquez, Jack; Villanueva, Jhorman; Solarte, Zeida; García, Alexander

doi:10.1007/978-3-319-31232-3_19

Cited by 81 publications

(33 citation statements)

References 7 publications

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“…Digital focused learning will improve the teaching and learning process as a whole. In other words, for both trainers and trainees fog computing is essential [75].…”

Section: Current Methodsmentioning

confidence: 99%

Utilizing technologies of fog computing in educational IoT systems: privacy, security, and agility perspective

Adel

2020

J Big Data

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Fog computing architecture is referred to the architecture that is distributed over the geographical area. This architectural arrangement mainly focuses on physical and logical network elements, and software for the purpose of implementing proper network. Fog computing architecture allows the users to have a flexible communication and also ensures that the storage services are maintained efficiently for the purpose of managing the data. However, it has been observed that in the field of education fog computing architecture has gained huge importance due to its real time application feature. The main objective of the survey is to develop a systematic literature review for the technology of fog computing in the education IoT system. The survey will also focus on evaluating the essential factors that has a crucial role in the fields of education as well as investigating the limitation and findings associated with the fog computing technologies in educational systems from the perspective of privacy, security, and agility.

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“…Digital focused learning will improve the teaching and learning process as a whole. In other words, for both trainers and trainees fog computing is essential [75].…”

Section: Current Methodsmentioning

confidence: 99%

Utilizing technologies of fog computing in educational IoT systems: privacy, security, and agility perspective

Adel

2020

J Big Data

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“…[248]. IoT is deployed in e-Learning for virtual labs and the global library [34] to improve the teaching-learning process [185]. As a part of digital learning, M-Learning is in the earlier stage of research.…”

Section: Figure 6 Smart Academics Implementationmentioning

confidence: 99%

Decades of Internet of Things towards 21st Century: A Research-Based Introspective

Boobalakrishnan¹

2021

Preprint

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Internet connects people to people, people to machine, and machine to machine for a life of serendipity through a Cloud. Internet of Things networks objects or people and integrates them with software to collect and exchange data. The Internet of things (IoT) influences our lives based on how we ruminate, respond, and anticipate. IoT 2020 heralds from the fringes to the data ecosystem and panaches a comfort zone. IoT is overwhelmingly embraced by businessmen and consumers due to increased productivity and convenience. Internet of Things facilitates intelligent device control with cloud vendors like Amazon and Google using artificial intelligence for data analytics, and with digital assistants like Alexa and Siri providing a voice user interface. Smart IoT is all about duplex connecting, processing, and implementing. With 5G, lightning faster rate of streaming analytics is realistic. An amalgamation of technologies has led to this techno-industrial IoT revolution. Centralized IoT architecture is vulnerable to cyber-attacks. With Block Chain, it is possible to maintain transparency and security of the transaction's data. Standardization of IoT devices is achievable with limited vendors based on Platform, Connectivity, and Application. Robotic Process Automation (RPA) using bots has automated laborious tasks in 2019. Embedded Internet using Facial Recognition could reduce the pandemic crisis. Security concerns are addressed with micro-segmentation approaches. IoT, an incredible vision of the future makes systems adaptive with customized features, responsive with increased efficiency, and procurable with optimized cost. This paper delivers a comprehensive insight into the technical perspectives of IoT, focusing on interoperability, flexibility, scalability, mobility, security, transparency, standardization, and low energy.

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“…피지컬 컴퓨팅을 교육에 활용하게 되면 간단한 소프 트웨어 프로그래밍을 통해 전기전자 부품과 센서 등을 제어할 수 있고 데이터(정보)를 얻을 수 있기 때문에 최 근에 핫 이슈가 되고 있는 사물 인터넷에 대한 개념도 실 습을 통해 습득할 수 있게 된다 [2,3].…”

Section: 프트웨어 교육만이 이루어졌기 때문에 학생들이 정보통 신에 대한 전체적인 개념을 이해하는 데 한계를 보여 왔다unclassified

Physical Computing Learning Model for Information and Communication Education

Lee¹

2016

Journal of The Korea Internet of Things Society

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This paper aims to present the physical computing learning model applicable in teaching the information and communication technology for technology and engineering education. This model is based on the physical computing and deals with the information creation and information transfer in one framework, thus provides students with the total understanding and practice opportunity about information and communication.The proposed learning models are classified into the client-server based model and the web based model. In the implemented learning model, the acquirement and control of information is performed by sketch on Arduino and the communication of information is performed by the Python socket on Raspberry Pi well known as an education platform. Our proposed learning model can be used for teaching students to understand the concept of Internet of Things (IoT), which provides us with world wide control and communication of information.

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IoT in Education: Integration of Objects with Virtual Academic Communities

Cited by 81 publications

References 7 publications

Utilizing technologies of fog computing in educational IoT systems: privacy, security, and agility perspective

Utilizing technologies of fog computing in educational IoT systems: privacy, security, and agility perspective

Decades of Internet of Things towards 21st Century: A Research-Based Introspective

Physical Computing Learning Model for Information and Communication Education

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