Subject Based Teaching and Learning during a Pandemic in Light of Big Data Analysis Cover Image

Subject Based Teaching and Learning during a Pandemic in Light of Big Data Analysis
Subject Based Teaching and Learning during a Pandemic in Light of Big Data Analysis

Author(s): Zbigniew WIECZOREK, Sylwia Galanciak, Ewa Dąbrowa
Subject(s): Higher Education , Educational Psychology, Sociology of Education
Published by: Wydawnictwo Adam Marszałek
Keywords: education; e-learning; COVID-19; pandemic; Big Data; learning disabilities;

Summary/Abstract: The purpose of the research presented in this article was to analyze the reactions of stakeholders in the educational process to the introduction of remote education during the COVID-19 pandemic, particularly in the context of subject based teaching and learning. To this end, the content of online forums and social media was reviewed through Big Data analysis, using the grounded theory method. The results of the study showed that after an initial high increase in interest in peri-school issues, in the second phase of the pandemic there was a surprising decrease in the number of threads addressing school issues in the context of difficulties, prompting the hypothesis that students during the pandemic developed strategies to survive the e-learning period. The level of uncertainty among students has decreased due to the developed strategies and/or the reduction of educational requirements in the school environment.

  • Issue Year: 2024
  • Issue No: Sp. Issue
  • Page Range: 98-127
  • Page Count: 30
  • Language: English
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