A SNAPSHOT OF THE U=RISOLVE FRAMEWORK: SELF-LEARNING ELECTRIC CIRCUIT FUNDAMENTALS MADE EASIER
DOI:
https://doi.org/10.34630/pel.v6i3.5229Keywords:
electric circuit analysis, self-learning tools, web-app, computer vision, machine learningAbstract
Innovative teaching and self-learning paradigms and tools have been emerging in the past decade, in a trend to boost motivation and autonomy in new generations of Electrical and Computer Engineering (ECE) students. In this context, we have been leveraging the U=RIsolve framework (https://urisolve.pt/app/), which aims at providing an interactive portal for teaching/self-learning the fundamentals of electric circuit analysis and simplification methods. This paper overviews the current functionalities of this web application and summarizes work-in-progress, giving a particular focus to an ongoing research line on automatic circuit schematics identification and modelling based on pictures and computer vision algorithms. Importantly, all contributions in this framework have been devised and implemented by students in the context of their undergraduate/graduate projects/thesis and are freely available to the international community.
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