Abstract
Lab work and exercises are an essential part of Electronic Engineering Education as it improves understanding of the theoretical concepts. Remote Labs like VISIR (Virtual Instrument Systems in Reality) can supplement the learning process but are limited to a small set of components. Therefore, experiments with VISIR should be combined with prepared and fixed circuits.<br />This work presents an approach, where in the first step new exercises are de-veloped with the NI ELVIS platform, and later implemented with the much more cost-effective NI myDAQ platform. In general, the entire system is very inexpen-sive and scaleable, since a single PC can act as a host for a wide number of exer-cise boards, each of which is connected via a myDAQ.
Highlights
In some countries, distance learning was already an essential part of postsecondary education even before the Covid-19 pandemic
The Lab Infrastructure as a Service (LIaaS) paradigm facilitates the deployment of the Remote Lab by providing a set of Web service calls and recording the experiments
The three experiments presented are expanding the number of remote exercises that can be used for electrical and electronic engineering education, and are a perfect supplement for other systems like VISIR
Summary
Distance learning was already an essential part of postsecondary education even before the Covid-19 pandemic. A few years ago we started to implement Online Labs, like VISIR (Virtual Instrument Systems in Reality) [2],[3],[4], and Pocket Labs using the NI myDAQ [5] into our electrical engineering education. Remote Laboratory systems like VISIR can be an extremely helpful utility for engineering education, especially in part-time study programs, where time and flexibility of students is limited. A helpful approach to expand the number of exercises (e.g. for electronic engineering students) could be to use virtual breadboarding systems like VISIR and combine it with prepared and fixed circuits. With VISIR, students are able to construct and/or modify circuits [6] but are limited to only a small number of components. Allow for experiments that are more complex
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