Open Ended Approach to Empirical Learning of IOT with Raspberry Pi in Modeling and Simulation Lab

Patil, Soumya S.; Katwe, Supriya; Mudengudi, Uma; Shettar, Rajashekar B.; Kumar, Priyatam

doi:10.1109/mite.2016.044

Cited by 3 publications

(1 citation statement)

References 4 publications

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“…This method includes specifying the course content, learning objectives, course outcomes, course assessment, and experiments. [19][20][21][22] In this section, the proposed model of integrating the IoT in the engineering education is described. The model consists of two workshops, the Arduino training workshop and the introduction to IoT workshop.…”

Section: Integration Of Iot In Engineering Educationmentioning

confidence: 99%

Integrating internet of things in electrical engineering education

Alharbi

2020

International Journal of Electrical Engineering & Education

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The Saudi Vision 2030 plan is based on three pillars: the Kingdom’s statues as a center for Arab and Islamic countries, stimulating the economy by diversifying revenues and taking advantage of the strategic location that makes the country a center of trade and gateway to the world. The initiative to establish the city of Neom emerges to achieve the objective of reducing the country’s dependence on oil, diversifying its economy, and developing public services sectors. NEOM project focuses on several sectors such as energy and water, mobility, biotech, advanced manufacturing, and digital sciences. One of the main sustainability factors for a smart city as NEOM project is the human factor. It is important to qualify engineers to be able to operate and maintain digital technology such as internet of things applications and devices. In this article, we propose integrating the internet of things technology and applications into the electrical engineering education to introduce students to the future skills and enable them to participate in the sustainability of Saudi Vision 2030.

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Section: Integration Of Iot In Engineering Educationmentioning

confidence: 99%

Integrating internet of things in electrical engineering education

Alharbi

2020

International Journal of Electrical Engineering & Education

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A triumvirate blended learning method for embedded computational devices used in the Internet of Things: A case study

Wachira

Absaloms

Mbuthia

2017

2017 2nd International Conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE)

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A WoT Platform for Supporting Full-Cycle IoT Solutions from Edge to Cloud Infrastructures: A Practical Case

Vargas

Tobarra

Robles-Gómez

et al. 2020

Sensors

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Internet of Things (IoT) learning involves the acquisition of transversal skills ranging from the development based on IoT devices and sensors (edge computing) to the connection of the devices themselves to management environments that allow the storage and processing (cloud computing) of data generated by sensors. The usual development cycle for IoT applications consists of the following three stages: stage 1 corresponds to the description of the devices and basic interaction with sensors. In stage 2, data acquired by the devices/sensors are employed by communication models from the origin edge to the management middleware in the cloud. Finally, stage 3 focuses on processing and presentation models. These models present the most relevant indicators for IoT devices and sensors. Students must acquire all the necessary skills and abilities to understand and develop these types of applications, so lecturers need an infrastructure to enable the learning of development of full IoT applications. A Web of Things (WoT) platform named Labs of Things at UNED (LoT@UNED) has been used for this goal. This paper shows the fundamentals and features of this infrastructure, and how the different phases of the full development cycle of solutions in IoT environments are implemented using LoT@UNED. The proposed system has been tested in several computer science subjects. Students can perform remote experimentation with a collaborative WoT learning environment in the cloud, including the possibility to analyze the generated data by IoT sensors.

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Open Ended Approach to Empirical Learning of IOT with Raspberry Pi in Modeling and Simulation Lab

Cited by 3 publications

References 4 publications

Integrating internet of things in electrical engineering education

Integrating internet of things in electrical engineering education

A triumvirate blended learning method for embedded computational devices used in the Internet of Things: A case study

A WoT Platform for Supporting Full-Cycle IoT Solutions from Edge to Cloud Infrastructures: A Practical Case

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