Comparative Approach to Drivers, Trends, and Challenges in Online Higher Education: Pre- and Post-COVID-19

Comparative Approach to Drivers, Trends, and Challenges in Online Higher Education: Pre- and Post-COVID-19

Dodzi Jean-Antoine Amemado (Government of Canada, Canada)
Release Date: April, 2025|Copyright: © 2025 |Pages: 300
DOI: 10.4018/979-8-3693-7625-6
ISBN13: 9798369376256|ISBN13 Softcover: 9798369376263|EISBN13: 9798369376270
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Description & Coverage
Description:

Online higher education has seen significant transformations in recent years, particularly in the wake of the COVID-19 pandemic. A comparative approach to understanding the drivers, trends, and challenges in online learning reveals a shift from pre-pandemic to post-pandemic periods. Before COVID-19, online education was seen as a supplementary option for non-traditional students, driven by technological advancements and demands for flexibility. However, the pandemic created a fast adoption of online platforms, making digital learning a central feature of higher education. This shift has shown greater academic accessibility and global reach, but reveals pressing challenges related to digital equity, quality of education, and student engagement. Examining these issues may highlight the evolving nature of online higher education and provides a framework for understanding its future trajectory.

Comparative Approach to Drivers, Trends, and Challenges in Online Higher Education: Pre- and Post-COVID-19 explores new strategies and challenges in global online higher education. It offers insights into the motivations behind technological adoption in universities, the obstacles faced, and emerging trends across various regions. This book covers topics such as data science, digital technology, and blended learning, and is a useful resource for educators, computer engineers, academicians, researchers, and scientists.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Artificial Intelligence
  • Blended Learning
  • COVID-19
  • Data Analysis
  • Data Science
  • Digital Technology
  • Higher Education
  • Massive Open Online Course (MOOCs)
  • Mobile Applications
  • Online Learning
Reviews & Statements

This research provides a snapshot of the higher education landscape worldwide just before COVID-19, with trends, drivers, and challenges in online education. Such a study not only reveals today’s issues in online higher education, but also offers a foresight analysis to anticipate emerging and future issues. For instance, the study identified the AI trend before COVID-19. It was not a major trend then, but it emerges now as important in higher education, and will be so in the coming years

– Dodzi Jean-Antoine Amemado (Government of Canada, Canada)
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Editor/Author Biographies
Dodzi Amemado carried out this study as a visiting scholar at Boston College (Massachusetts, United States). Amemado holds a PhD in Education from the University of Montreal (Canada). He did extensive research and published on technology integration in higher education, artificial intelligence and eLearning, AI integration framework, and the Community of Inquiry (CoI) framework. He currently works as a strategist for the Government of Canada.
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