
High school students’ perceptions of emergency remote teaching in Serbia during the COVID-19 pandemic
Author(s) -
Nena Vasojević,
AUTHOR_ID,
Ivana Vučetić,
Snežana Kirin
Publication year - 2021
Publication title -
uzdanica
Language(s) - English
Resource type - Journals
ISSN - 1451-673X
DOI - 10.46793/uzdanica18.ii.035v
Subject(s) - declaration , pandemic , covid-19 , state of emergency , mathematics education , online teaching , order (exchange) , distance education , teaching method , medical education , computer science , psychology , political science , medicine , business , disease , pathology , politics , infectious disease (medical specialty) , law , programming language , finance
Following the declaration of the state of emergency in Serbia, after the novel COVID-19 outbreak was declared a global pandemic, all the educational institutions in the country were closed, and the different modes of emergency remote teaching (ЕRТ) were introduced. In order to highlight the problems and attitudes of students, in regard to the newly introduced online-based emergency remote teaching model, we conducted a survey with high school students. The research question was how the unplanned switch from the traditional learning setting to online learning affected the learning practice, and what the outcomes of the integration of digital technology in education are. The aim of the study was to determine the best advantages and the biggest disadvantages of the introduced emergency remote teaching model, from the students’ point of view, during the initial phase of the teaching model implementation. The obtained results indicated the best advantages of the applied learning model in the domain of learning time management opportunities, and the biggest disadvantages in relation to the teaching and learning technical support problems and social distance. The results of this study could be used by policymakers and practitioners in order to prepare plans and programs for emergency remote teaching, and also to improve traditional teaching models.