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Intelligent technologies in smart education: a comprehensive review of transformative pillars and their impact on teaching and learning methods

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  • Junfeng Yang

    (Hangzhou Normal University
    Hangzhou Normal University)

  • Gaojun Shi

    (Hangzhou Normal University)

  • Wenjuan Zhu

    (Hangzhou Normal University)

  • Yao Sun

    (Hangzhou Normal University)

Abstract

In the domain of smart education, the integration of intelligent technology has undergone extensive exploration, yet a comprehensive investigation into its transformative potential for teaching and learning remains elusive. To address this research gap, our study employs a literature review methodology, analyzing 55 studies to offer empirical insights into the application of intelligent technologies in reshaping educational paradigms. The key findings encompass: (a) the identification of five crucial pillars of smart education, namely intelligent technology, smart pedagogy, smart learning environments, smart learning, and smart learners; (b) the acknowledgment that smart education relies on diverse intelligent technologies, such as the Internet of Things, artificial intelligence, virtual/augmented reality, big data, cloud computing, and smart mobile devices; and (c) the identification of three typical teaching methods and five learning methods supported by intelligent technology for smart education. This systematic review provides valuable insights and implications for advancing teaching and learning through the strategic utilization of intelligent technologies.

Suggested Citation

  • Junfeng Yang & Gaojun Shi & Wenjuan Zhu & Yao Sun, 2025. "Intelligent technologies in smart education: a comprehensive review of transformative pillars and their impact on teaching and learning methods," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-15, December.
    • Handle: RePEc:pal:palcom:v:12:y:2025:i:1:d:10.1057_s41599-025-05444-0
    DOI: 10.1057/s41599-025-05444-0
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    References listed on IDEAS

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    1. Hyun Suk Lee & Junga Lee, 2021. "Applying Artificial Intelligence in Physical Education and Future Perspectives," Sustainability, MDPI, vol. 13(1), pages 1-16, January.
    2. Kamil Dimililer, 2018. "Use of Intelligent Student Mood Classification System (ISMCS) to achieve high quality in education," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(1), pages 651-662, December.
    3. Khaula Zeeshan & Timo Hämäläinen & Pekka Neittaanmäki, 2022. "Internet of Things for Sustainable Smart Education: An Overview," Sustainability, MDPI, vol. 14(7), pages 1-15, April.
    4. Junfeng Yang & Yao Sun & Ruyi Lin & Haotian Zhu, 2024. "Strategic framework and global trends of national smart education policies," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 11(1), pages 1-13, December.
    5. Yousef A. M. Qasem & Rusli Abdullah & Yusmadi Yah Jusoh & Rodziah Atan & Shahla Asadi, 2021. "Analyzing Continuance of Cloud Computing in Higher Education Institutions: Should We Stay, or Should We Go?," Sustainability, MDPI, vol. 13(9), pages 1-37, April.
    6. Yoney Kirsal Ever & Kamil Dimililer, 2018. "The effectiveness of a new classification system in higher education as a new e-learning tool," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(1), pages 573-582, December.
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