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Navigating the AI Frontier in Higher Education: An Experimental Bibliometric Analysis of Pedagogical Innovations in Education (2014-2024)

Author

Listed:
  • Dr Wong Su Cheong

    (School of Communication and Creative Arts, UOW University Malaysia, Selangor, Malaysia)

Abstract

Artificial intelligence (AI) is a branch of computer science designed to improve humans’ productivity creatively with the help of intelligent computers and bid data. Recently, the use of AI technology has been growing rapidly in many disciplines to improve task efficiency and accuracy, educational research is among the beneficial scholarly activities. With the help of AI technology in education, AL-Based robotic applications simulate human intelligence to make accurate predictions and decision making to solve complex issues. Through the assistant of AI-based learning tool, individual learner able to learn effectively with satisfactory positive experiences. However, education experts are worried that the level of AI integration depends on the adaptability of stakeholders. AI technology alone can’t make a significant impact to improve education quality. AI technology integration will only happen when learners are equipped with the ability to choose information with creativity. Since the beginning of the 21st century, AIeL (Artificial Intelligence in Education) has become significantly important with rapidly developing technologies. Artificial Intelligence (AI) and Big Data Analytic (BDA) are among the two most crucial inventions to improve task productivity. This study aims to conduct a comprehensive bibliometric analysis of the impact of AI technology on higher education from 2014 to 2024.

Suggested Citation

  • Dr Wong Su Cheong, 2025. "Navigating the AI Frontier in Higher Education: An Experimental Bibliometric Analysis of Pedagogical Innovations in Education (2014-2024)," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(3s), pages 1854-1871, March.
    • Handle: RePEc:bcp:journl:v:9:y:2025:i:3s:p:1854-1871
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    References listed on IDEAS

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    1. Donthu, Naveen & Kumar, Satish & Mukherjee, Debmalya & Pandey, Nitesh & Lim, Weng Marc, 2021. "How to conduct a bibliometric analysis: An overview and guidelines," Journal of Business Research, Elsevier, vol. 133(C), pages 285-296.
    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.
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