Cited by 338Education during COVID-19 pandemicEducational Innovations and TechnologyE-Learning and COVID-19

COVID-19 pandemic-online education in the new normal and the next normal

Open access
Xie, Xin, Siau, Keng, Nah, Fiona Fui-Hoon·2020·Journal of Information Technology Case and Application Research

Abstract

The development and advancement of information technology provide a technical platform for education reform and opportunities for innovation in education. The global COVID-19 pandemic has created a new normal that further springboards such opportunities to large scale implementation of online education. Because online education has the advantages of flexibility, information accessibility, global reach, equity, innovation, and efficiency, a growing number of educational institutions are offering degree-granting distance and hybrid education programs. However, online education also has its shortcomings, which include technological constraints, the lack of a sense of belonging and connectedness, the presence of distractions, and a lack of engagement. Learners who have basic technical skills and access to technology (i.e., hardware and software), and are self-motivated in learning as well as self-disciplined in time management can succeed in online education. Online education in the post-COVID-19 pandemic, which is the next normal, will continue to play an important role. By incorporating artificial intelligence and mobile education, online education will co-exist with traditional education to provide more education options, promote education equity, and enhance education innovation.

Integrity signals

Registry

Crossref · 10.1080/15228053.2020.1824884

Cites

14 of 14 references verified0 citation errors · 0 not checkable

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  • A natural by-product of the transition to online learning environments is the generation and logging of more data points from the learning process that can be used in AI-based methods to assess and drive student engagement and provide personalized feedback.

    “Moreover, a natural by-product of the transition to online learning environments is the generation and logging of more data points from the learning process (Xie et al., 2020) that can be used in AI-based methods to assess and drive student engagement and provide personalized feedback.”

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Authors
Xie, X., Siau, K., & Nah, F. F.-H.
Affiliations
  • Hunan University (CN)
  • Missouri University of Science and Technology (US)
Corresponding author
Xie, Xin
Venue
Journal of Information Technology Case and Application Research
Published
2020-07-02
Volume
22
Issue
3
Pages
175-187
ISSN
  • 1522-8053 (ISSN-L)
  • 2333-6897
OpenAlex
W3102947614
Cited by
338
References
14
Citations by year
2026: 10 · 2025: 39 · 2024: 61 · 2023: 86 · 2022: 100 · 2021: 41 · 2020: 1
FWCI
86.38
Type
journal article
Language
en
Open access
Licence
other-oa
Locations
  • Journal of Information Technology Case and Application Research (publishedVersion)
  • Singapore Management University Institutional Knowledge (InK) (Singapore Management University) (submittedVersion, other-oa)
Topics
  • Social Sciences › Education › Education during COVID-19 pandemic
  • Physical Sciences › Computer Science › Information Systems › Educational Innovations and Technology
  • Social Sciences › Education › E-Learning and COVID-19
Keywords
online learning, COVID-19 pandemic, distance education, hybrid learning, educational equity, student engagement, technological barriers, artificial intelligence in education, mobile learning, educational innovation, post-pandemic education

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