COVID-19 and online teaching in higher education: A discrete choice experiment

Eric Nyarko, Edmund Fosu Agyemang, Dennis Arku

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

The Sars-Cov-2 coronavirus outbreak significantly impacted Ghana's educational system, driving schools to close campuses and swiftly deploy online instruction. This study evaluated e-teaching in higher education amidst the Sars-Cov-2 coronavirus by using the University of Ghana as a case study. Specifically, the study investigated university instructors' preferences for online instructional strategies to enable higher educational institutions to transit smoothly into online teaching and learning. With the help of a face-to-face questionnaire administration, this cross-sectional study used a discrete choice experiment design to capture the responses of 230-course instructors. The analysis of the survey data obtained was possible using the multinomial logit model. Our results revealed that a recorded lecture video had the highest preference among the course instructors, breakdown of teaching content for approximately 30 to 45 minutes, providing online tutorials, and online support/video tutoring from teaching assistants were the important instructional attributes to help higher educational institutions transition into online teaching and learning.

Original languageEnglish
Pages (from-to)115-123
Number of pages9
JournalModel Assisted Statistics and Applications
Volume18
Issue number2
DOIs
Publication statusPublished - 15 Jun 2023

Keywords

  • COVID-19
  • Discrete choice experiments
  • high-impact teaching practices
  • instructional strategies
  • multinomial logit model
  • online education

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