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New Era of Artificial Intelligence in Education: Towards a Sustainable Multifaceted Revolution

Author

Listed:
  • Firuz Kamalov

    (Department of Electrical Engineering, Canadian University Dubai, Dubai 117781, United Arab Emirates)

  • David Santandreu Calonge

    (Academic Development, Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi 7256, United Arab Emirates)

  • Ikhlaas Gurrib

    (Department of Finance and Accounting, Canadian University Dubai, Dubai 117781, United Arab Emirates)

Abstract

The recent high performance of ChatGPT on several standardized academic tests has thrust the topic of artificial intelligence (AI) into the mainstream conversation about the future of education. As deep learning is poised to shift the teaching paradigm, it is essential to have a clear understanding of its effects on the current education system to ensure sustainable development and deployment of AI-driven technologies at schools and universities. This research aims to investigate the potential impact of AI on education through review and analysis of the existing literature across three major axes: applications, advantages, and challenges. Our review focuses on the use of artificial intelligence in collaborative teacher–student learning, intelligent tutoring systems, automated assessment, and personalized learning. We also report on the potential negative aspects, ethical issues, and possible future routes for AI implementation in education. Ultimately, we find that the only way forward is to embrace the new technology, while implementing guardrails to prevent its abuse.

Suggested Citation

  • Firuz Kamalov & David Santandreu Calonge & Ikhlaas Gurrib, 2023. "New Era of Artificial Intelligence in Education: Towards a Sustainable Multifaceted Revolution," Sustainability, MDPI, vol. 15(16), pages 1-27, August.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:16:p:12451-:d:1218419
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    References listed on IDEAS

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    1. William Villegas-Ch & Adrián Arias-Navarrete & Xavier Palacios-Pacheco, 2020. "Proposal of an Architecture for the Integration of a Chatbot with Artificial Intelligence in a Smart Campus for the Improvement of Learning," Sustainability, MDPI, vol. 12(4), pages 1-20, February.
    2. Yu Chen & Scott Jensen & Leslie J. Albert & Sambhav Gupta & Terri Lee, 2023. "Artificial Intelligence (AI) Student Assistants in the Classroom: Designing Chatbots to Support Student Success," Information Systems Frontiers, Springer, vol. 25(1), pages 161-182, February.
    3. Webber, Sheila Simsarian & Detjen, Jodi & MacLean, Tammy L. & Thomas, Dominic, 2019. "Team challenges: Is artificial intelligence the solution?," Business Horizons, Elsevier, vol. 62(6), pages 741-750.
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    Cited by:

    1. Yugang He, 2024. "Artificial intelligence and socioeconomic forces: transforming the landscape of religion," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-10, December.
    2. Reema Alsabt & Yusuf A. Adenle & Habib M. Alshuwaikhat, 2024. "Exploring the Roles, Future Impacts, and Strategic Integration of Artificial Intelligence in the Optimization of Smart City—From Systematic Literature Review to Conceptual Model," Sustainability, MDPI, vol. 16(8), pages 1-20, April.
    3. Sahan Bulathwela & María Pérez-Ortiz & Catherine Holloway & Mutlu Cukurova & John Shawe-Taylor, 2024. "Artificial Intelligence Alone Will Not Democratise Education: On Educational Inequality, Techno-Solutionism and Inclusive Tools," Sustainability, MDPI, vol. 16(2), pages 1-20, January.
    4. Firuz Kamalov & Hana Sulieman & Sherif Moussa & Jorge Avante Reyes & Murodbek Safaraliev, 2024. "Powering Electricity Forecasting with Transfer Learning," Energies, MDPI, vol. 17(3), pages 1-13, January.

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