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Edubot Project: Analyzing the Adaptation of Robotics Classes to the Remote Environment

Giovanna Borges Bottino, Sheila de Lima Araujo, Caio de Lima Saigg, Mariana Costa Bernardes Matias, Roberto de Souza Baptista

Year
2021
Citations
6

Abstract

Given the need for social confinement in response to the global pandemic caused by the Covid-19 disease, the Edubot project made the transition from classroom teaching methodologies to distance learning methodologies. To assess the effectiveness of this adaptation, a survey was developed where new students, who has never studied with Edubot before, could give their opinion on affinity and quality with regard to the new classes. The answers could be analyzed and displayed in graphs. Interpreting them, it is evident that although the virtual classes are fulfilling what they promise, there is a preference for the in-person mode.

Keywords

Adaptation (eye)PreferenceCoronavirus disease 2019 (COVID-19)Computer scienceQuality (philosophy)Artificial intelligenceRoboticsHuman–computer interactionRobotData science

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