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Sustainable Social Development through the Use of Artificial Intelligence and Data Science in Education during the COVID Emergency: A Systematic Review Using PRISMA

Author

Listed:
  • Verónica Aguilar-Esteva

    (Department of Design Engineering, Campus Tehuantepec, Universidad del Istmo (UNISTMO), Oaxaca C.P. 70760, Mexico)

  • Adán Acosta-Banda

    (Department of Renewable Energy Engineering, Campus Tehuantepec, Universidad del Istmo (UNISTMO), Oaxaca C.P. 70760, Mexico)

  • Ricardo Carreño Aguilera

    (Department of Computer Engineering, Campus Tehuantepec, Universidad del Istmo (UNISTMO), Oaxaca C.P. 70760, Mexico)

  • Miguel Patiño Ortiz

    (Department of Systems Engineering, Campus ESIME Zacatenco, Instituto Politécnico Nacional (IPN), Ciudad de Mexico C.P. 07738, Mexico)

Abstract

In this paper, we aimed to investigate how sustainable development can be involved in educational contexts that use new trends in technology such as Artificial Intelligence (AI) and Data Science (DS). To achieve this goal, we conducted a documentary Systematic Review using PRISMA research to find and analyze applications of sustainable development in these aforementioned contexts. In the results, we explain how some applications of both AI and DS, including Big Data and Learning Analytics among others, offer alternatives to substantially improve the educational process by allowing either education to be personalized, learning to be predicted, or even possible school dropouts to be predicted. We found that the COVID emergency sped up the introduction of these technologies in educational environments. Nevertheless, the inclusion of new technologies to develop better processes in education is still in progress and will continue to grow. In conclusion, we identified and analyzed some of the main applications found in the literature regarding new computing technologies. AI and DS have introduced new learning and teaching methods to solve different context problems that promote sustainable development while making educational environments more dynamic. On the other hand, we observed that the divide in many countries will continue due to their economic and technological situations. We describe some of the challenges that the incorporation of these technologies will bring in the near future.

Suggested Citation

  • Verónica Aguilar-Esteva & Adán Acosta-Banda & Ricardo Carreño Aguilera & Miguel Patiño Ortiz, 2023. "Sustainable Social Development through the Use of Artificial Intelligence and Data Science in Education during the COVID Emergency: A Systematic Review Using PRISMA," Sustainability, MDPI, vol. 15(8), pages 1-17, April.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:8:p:6498-:d:1121006
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    References listed on IDEAS

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    Cited by:

    1. Dorota Murzyn & Teresa Mroczek & Marta Czyżewska & Karolina Jezierska, 2025. "Environmental Awareness and Responsibility: A Machine Learning Analysis of Polish University Students," Sustainability, MDPI, vol. 17(19), pages 1-31, September.
    2. Munyaradzi Duve & Benjamin Marx, 2025. "Exploring Sustainability in Startups: A Systematic PRISMA Review," Sustainability, MDPI, vol. 17(14), pages 1-35, July.

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