Regresar

Evolution of student opinions on cyber-learning in the obstetrics career

Abstract:

Introduction: During the COVID-19 lockdown, educational institutions implemented online learning, revealing that some university teachers and students were not prepared for this transition. Additionally, students were unable to attend clinical preceptorship in healthcare settings. The objective of this study was to analyze the evolution of agreement-disagreement levels among obstetrics students with virtual learning and identify variables that can predict changes in opinion. Method: A predictive longitudinal study was conducted using a Likert-adapted and validated survey administered to students at the beginning and end of the lockdown. Bayesian statistical analysis was performed using ordinal regression model analogs due to their advantages over frequentist methods. Results: Opinions evolved from disagreement at the beginning to neutral opinions in half of the survey items at the end. It can be predicted that students will disagree with online learning when they are in their final semesters. Conclusions: Agreement with teleeducation improved due to its association with multiple advantages and the computer skills acquired during this period, especially among students. However, students in their final semesters expressed disagreement with online learning, which can be attributed to the lack of clinical preceptorship with patients in healthcare settings. Digital competencies must be improved among students and teachers to take advantage of the benefits offered by online learning.