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Assessment of artificial intelligence-based digital learning systems in higher education amid the pandemic using analytic hierarchy

Author

Listed:
  • Vikrant Vikram Singh

    (Symbiosis International (Deemed University))

  • Nishant Kumar

    (CHRIST (Deemed to be University))

  • Shailender Singh

    (Symbiosis International (Deemed University))

  • Meenakshi Kaul

    (Symbiosis International (Deemed University))

  • Aditya Kumar Gupta

    (Amity University)

  • P. K. Kapur

    (Amity University)

Abstract

The devastating effects of the 2020 worldwide COVID-19 virus epidemic prompted widespread lockdowns and restrictions, which will continue to be felt for decades. The repercussions of the pandemic have been most noticeable among educators and their students, which boosts the effectiveness of various AI-based learning systems in the education system. This study examines the AI-based digital learning platforms in higher education institutions based on various characteristics and uses of these systems. Several significant aspects of AI-based digital learning systems were obtained from the available literature, and significant articles were selected to properly examine various characteristics and functions of AI-based digital learning platforms used by multiple higher education institutions. The analytical hierarchy process (AHP) is employed to rank multiple AI-based learning systems based on key factors and their sub-factors. The study’s outcome revealed which AI systems are effectively used in developing digital learning systems by various higher education institutions.

Suggested Citation

  • Vikrant Vikram Singh & Nishant Kumar & Shailender Singh & Meenakshi Kaul & Aditya Kumar Gupta & P. K. Kapur, 2024. "Assessment of artificial intelligence-based digital learning systems in higher education amid the pandemic using analytic hierarchy," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 15(8), pages 4069-4084, August.
    • Handle: RePEc:spr:ijsaem:v:15:y:2024:i:8:d:10.1007_s13198-024-02411-x
    DOI: 10.1007/s13198-024-02411-x
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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. Lena Ivannova Ruiz-Rojas & Patricia Acosta-Vargas & Javier De-Moreta-Llovet & Mario Gonzalez-Rodriguez, 2023. "Empowering Education with Generative Artificial Intelligence Tools: Approach with an Instructional Design Matrix," Sustainability, MDPI, vol. 15(15), pages 1-20, July.
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