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Was “Returning to Normal” More Effective? Comparing Online and Offline Learning in English as a Foreign Language

  • Keith J. Topping (Lead / Corresponding author)
  • , Natalia Erokhov
  • , Nataliia Sokolova

Research output: Contribution to journalArticlepeer-review

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Abstract

The aim of this research was to investigate whether a post-pandemic return to more face-to-face teaching was any more effective than during-pandemic online teaching, using examination results as an indicator. It compares the two middle years of a four-year undergraduate degree in English as a Foreign Language over two consecutive years. Year 1 saw 73% of the time spent online teaching and learning, while Year 2 spent 25%. The relative effects on the examination results of more versus less online were compared. The participants were 105 Methodologists (future teachers) and 272 Translators (N = 377), predominantly female (83%). Entry scores were checked to ensure the similarity of the cohorts. Examinations were taken twice a year. On one course, more online yielded better performance on both occasions. On three others, more online yielded better performance in the Winter but equivalent performance in the Summer. Of 24 Effect Sizes (ESs), only 3 were in favour of more offline. The average ES was 0.10 in favour of more online, 0.21 in Winter and 0.05 in Summer. Thus, more online learning was modestly more effective than less online learning. This had implications for course designers/university managers in terms of the degree of return to face-to-face learning.

Original languageEnglish
Article number731
Number of pages15
JournalEducation Sciences
Volume14
Issue number7
DOIs
Publication statusPublished - 4 Jul 2024

Keywords

  • English as a foreign language
  • examinations
  • face-to-face learning
  • offline learning
  • online learning
  • remote learning

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Education
  • Physical Therapy, Sports Therapy and Rehabilitation
  • Developmental and Educational Psychology
  • Public Administration
  • Computer Science Applications

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