In the context of e-learning during the COVID-19 pandemic, medical education has suffered a significant impact on its training process due to various factors, such as the suspension of access to university and/or clinical fields, therefore, it is essential to know the perception of medical students about teaching methods during the pandemic period and its impact on their careers. In this way, this study aimed to investigate, in medical students from the University of Atacama (UDA), Chile, about their perception and factor related to the digital teaching methods adopted by UDA-Faculty of Medicine courses. As a preliminary study, we studied a survey through a sample of 51 students and containing 32 questions that involved 3 theoretical dimensions (sociodemographic background, information preferences, and learning perception styles). We aimed to investigate elements, using a causal inference method (Bayesian Network), that unravels the relationship across these theoretical dimensions that correspond to meaningful learning. Based on these analyzes, we were able to find the information process flow related to 20 questions towards the significant learning, and characteristics associated with the learning process. This work sought to develop a better understanding of alternative active methodologies and their effectiveness for the medical career.
The impact of the Covid-19 pandemic on business continuity in all different fields, including education and most importantly medical universities that require field attendance and the necessary practical training to raise the student’s scientific competence in the laboratories designated for this, which required the presence of the need for virtual laboratories on the cloud and the need to develop alternative plans for the continuity of learning, such as work Remotely, developing a technological infrastructure and supporting all the resources required for the medical sector.
