Análise de plataformas de apoio ao ensino à distância no ensino superior: tratamento dos dados dos usuários.

Abstract

All areas of activity had to adapt due to the social distancing caused by the novel coronavirus. Distance learning (EaD) was the main alternative for stu-dents and teachers during the quarantine. In order for non-face-to-face teaching to occur in a structured and efficient manner, the use of digital platforms to support non-face-to-face teaching and EaD was essential. EAD and non-face-to-face teaching are distinct modalities, with common characteristics. Non-face-to-face teaching refers to teaching activities mediated by technologies and guided by the principles of face-to-face education, while EaD, which also uses digital platforms, has its own teaching-learning format. In the face of the pandemic, there was an increase in users on digital platforms, and, consequently, the collection of data by them was intensified. It is important to emphasize that the provision, processing, and storage of users' personal data must be aligned with the legislation in order to prevent the indiscriminate use of the data collected. In this sense, this article addresses the issue of the use of data by digital platforms used in higher education during the pandemic. The research aims to analyze the Google Classroom, Zoom Cloud Meeting, Microsoft Teams and Slack platforms to find out how they handle user data. The well-known General Data Protection Law (Brazil, 2018), whose acronym is LGPD, establishes rules on data collection, storage, processing and sharing. The methodology is based on research into the platforms' privacy policies. Thus, the expected results serve two purposes: on the one hand, to help users understand how their data is used and stored; on the other hand, to signal recommendations for platform users.