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Leading Edge or Bleeding Edge: Designing a Framework for the Adoption of AI Technology in an Educational Organization

Author

Listed:
  • Sayed Fayaz Ahmad

    (Department of Engineering Management, Institute of Business Management, Karachi 74900, Pakistan)

  • Muhammad Mansoor Alam

    (Faculty of Computing, Riphah International University, Islamabad 46000, Pakistan)

  • Mohd. Khairil Rahmat

    (Centre of Research & Innovation, Universiti Kuala Lumpur, Kuala Lumpur 50250, Malaysia)

  • Muhammad Khalil Shahid

    (Highier Colleges of Technology, Abu Dhabi P.O. Box 25026, United Arab Emirates)

  • Mahnaz Aslam

    (Department of Education, University of Turbat, Turbat 92600, Pakistan)

  • Nur Agus Salim

    (Program Studi Pendidikan Guru Sekolah Dasar, Fakultas Keguruan dan Ilmu Pendidikan, Universitas Widya Gama Mahakam Samarinda, Kota Samarinda 75243, Indonesia)

  • Mohammed Hasan Ali Al-Abyadh

    (College of Education, Prince Sattam Bin Abdulaziz University, Al-Kharj 16278, Saudi Arabia)

Abstract

Adopting Artificial Intelligent Technology in an Educational Organization is often problematic due to many internal and external environmental reasons, and often fails to attain the desired goals. This study aims to design a framework for adopting AI technology in the education sector. Most of the research focuses on the acceptance of a particular technology and ignores the study of what else is needed for a technology acceptance. The framework in this study provides a step-by-step process of the Technological Transformation of an organization never designed before. We recommend that before making any technological changes in an organization, generally and in the educational organization particularly, the processes must be followed for the successful and meaningful adoption of AI technology.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:8:p:6540-:d:1121775
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    References listed on IDEAS

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    Cited by:

    1. Wadim Strielkowski & Veronika Grebennikova & Alexander Lisovskiy & Guzalbegim Rakhimova & Tatiana Vasileva, 2025. "AI‐driven adaptive learning for sustainable educational transformation," Sustainable Development, John Wiley & Sons, Ltd., vol. 33(2), pages 1921-1947, April.
    2. Kai Qu & Yapeng Zhang & Xiaohui Fan, 2025. "RETRACTED ARTICLE: From Smart Cities to Smarter Economies: The Dynamics of Urban Technology and Enterprise Total Factor Productivity," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 16(1), pages 4747-4781, March.
    3. Zhenwei You & Sayed Fayaz Ahmad & Fei Yan & Muhammad Irshad & Mubariz Garayev & Ahmad Y. A. Bani Ahmad Ayassrah, 2025. "Investigating the impact of safety, cultural and character traits issues in the adoption of humanized robots in education," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-14, December.

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