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The Evolution of AI-Driven Educational Systems during the COVID-19 Pandemic

Author

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  • Florin-Valeriu Pantelimon

    (Department of Computer Science and Cybernetics, Bucharest University of Economic Studies, 010374 Bucharest, Romania)

  • Razvan Bologa

    (Department of Computer Science and Cybernetics, Bucharest University of Economic Studies, 010374 Bucharest, Romania)

  • Andrei Toma

    (Department of Computer Science and Cybernetics, Bucharest University of Economic Studies, 010374 Bucharest, Romania)

  • Bogdan-Stefan Posedaru

    (Department of Computer Science and Cybernetics, Bucharest University of Economic Studies, 010374 Bucharest, Romania)

Abstract

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.

Suggested Citation

  • Florin-Valeriu Pantelimon & Razvan Bologa & Andrei Toma & Bogdan-Stefan Posedaru, 2021. "The Evolution of AI-Driven Educational Systems during the COVID-19 Pandemic," Sustainability, MDPI, vol. 13(23), pages 1-10, December.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:23:p:13501-:d:696378
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    References listed on IDEAS

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    1. Aras Bozkurt & Abdulkadir Karadeniz & David Baneres & Ana Elena Guerrero-Roldán & M. Elena Rodríguez, 2021. "Artificial Intelligence and Reflections from Educational Landscape: A Review of AI Studies in Half a Century," Sustainability, MDPI, vol. 13(2), pages 1-16, January.
    2. Gisela Cebrián & Ramon Palau & Jordi Mogas, 2020. "The Smart Classroom as a Means to the Development of ESD Methodologies," Sustainability, MDPI, vol. 12(7), pages 1-18, April.
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    Cited by:

    1. Sayed Fayaz Ahmad & Muhammad Mansoor Alam & Mohd. Khairil Rahmat & Muhammad Khalil Shahid & Mahnaz Aslam & Nur Agus Salim & Mohammed Hasan Ali Al-Abyadh, 2023. "Leading Edge or Bleeding Edge: Designing a Framework for the Adoption of AI Technology in an Educational Organization," Sustainability, MDPI, vol. 15(8), pages 1-20, April.

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