The evolution of AI-driven educational systems during the COVID-19 pandemic
Open accessAbstract
COVID-19 had a major impact on education, substantially stimulating the need for digital remote education. From paperback books to PDFs, from physical classes to e-conferencing, and from various traditional mechanisms of information transmission to systems that are driven by artificial intelligence and use adaptive learning approaches, all of these had to be adopted by both teachers and students. This paper analyzes the use of an adaptive learning system before and during the COVID-19 pandemic from a statistical point of view on a set of data gathered in Romania during a pilot project. The main data inputs are the number of students that enrolled for a certain course, the percentage of students that successfully completed it, and information about their age group, location and main area of interest. Our study finds that the use of artificial intelligence has increased during the COVID-19 pandemic and, by analyzing the data obtained during the study, we managed to prove that artificial-intelligence-driven tools and systems have gained traction among all the parties involved in the educational process.
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Pilot studies show that the pandemic led to a significant increase in the usage of AI-based e-learning platforms.
“Pilot studies show that the pandemic led to a significant increase in the usage of AI-based e-learning platforms (Pantelimon et al., 2021).”
From Proactive and reactive engagement of artificial intelligence methods for education: a review (2023) · cites this paper as Pantelimon et al., 2021
Online teaching platforms make it easier to incorporate web-based content, smart interactive elements and asynchronous review sessions to keep students more engaged.
“Online teaching platforms also make it easier to incorporate web-based content, smart interactive elements and asynchronous review sessions to keep students more engaged (Kexin et al., 2020; Pantelimon et al., 2021).”
From Proactive and reactive engagement of artificial intelligence methods for education: a review (2023) · cites this paper as Pantelimon et al., 2021
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Proactive and reactive engagement of artificial intelligence methods for education: a review
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- Authors
- Pantelimon, F.-V., Bologa, R., Toma, A., & Posedaru, B.-S.
- Affiliations
- Bucharest University of Economic Studies (RO)
- Department of Computer Science and Cybernetics, Bucharest University of Economic Studies, 010374 Bucharest, Romania
- Corresponding author
- Pantelimon, Florin-Valeriu
- Venue
- Sustainability
- Publisher
- MDPI AG
- Published
- 2021-12-06
- Volume
- 13
- Issue
- 23
- Pages
- 13501
- ISSN
- 2071-1050 (ISSN-L)
- OpenAlex
- W4200157466
- Cited by
- 76
- References
- 18
- Citations by year
- 2026: 10 · 2025: 30 · 2024: 18 · 2023: 10 · 2022: 8
- FWCI
- 8.14
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Sustainability (publishedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Social Sciences › Education › Education during COVID-19 pandemic
- Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
- Keywords
- artificial intelligence in education, adaptive learning, COVID-19 pandemic, distance education, online learning, AI adoption in education
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