2017 4th Experiment@International Conference (exp.at'17) 2017
DOI: 10.1109/expat.2017.7984361
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An IoT remote lab for seismic monitoring in a programming course

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Cited by 7 publications
(2 citation statements)
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“…The same thing has been done by Kalashnikov et al (2017) with the addition of cameras and communication devices by telemetry and IoT so that the implementation of remote practicum in the laboratory can be carried out. Another benefit of using IoT in remote practicum is that it can trigger students to actively participate in the process of creating their own IoT projects, increase student motivation and encourage them to learn and solve problems from the outside world (Guerra et al, 2017). The experiment conducted by Idhar et al (2021) with the IoT trainer can also be carried out in the laboratory by implementing an application interface to give commands to devices connected to the internet in the trainer.…”
Section: Discussionmentioning
confidence: 99%
“…The same thing has been done by Kalashnikov et al (2017) with the addition of cameras and communication devices by telemetry and IoT so that the implementation of remote practicum in the laboratory can be carried out. Another benefit of using IoT in remote practicum is that it can trigger students to actively participate in the process of creating their own IoT projects, increase student motivation and encourage them to learn and solve problems from the outside world (Guerra et al, 2017). The experiment conducted by Idhar et al (2021) with the IoT trainer can also be carried out in the laboratory by implementing an application interface to give commands to devices connected to the internet in the trainer.…”
Section: Discussionmentioning
confidence: 99%
“…Analyzing the literature, most of the educational IoT labs are for hands-on experimentation. Among those designed to experiment online out of laboratory facilities, many were just pure simulations or virtual labs [ 39 ]. An example is the work of Patil et al [ 40 ], who describe an IoT virtual lab to allow students sensing and retrieving simulated data from the cloud using Python, as part of the modeling and simulation lab.…”
Section: State Of the Artmentioning
confidence: 99%