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AI Education Framework for Analysis and Profiling of Students Using Machine Learning

Author

Listed:
  • B.Venura Lakshman

    (Bhiksu University of Sri Lanka, Anuradhapura)

  • Dr J.V. Wijayakulasooriya

    (University of Peradeniya, Peradeniya)

  • Prof T.M.S.S.K. Yatigammana

    (University of Peradeniya, Peradeniya)

Abstract

Today, in many educational institutes use AI technologies, to enhance the educational level of the institute. Using such technologies, the institute can get many benefits like identify weak students earlier, teach technology easily…etc. Also, this can be used to select a proper AI-based Electronic learning system to the institute. In addition to that, by adopting AI to an educational institute academic staff also can get many benefits like how to change teaching method and selecting appropriate teaching method…etc. To adopt AI to an educational institute, it is required to follow a comprehensive and methodological manner. For this reason, a framework is required to adopt AI to an educational institute. But there is no such comprehensive framework to adopt AI to an educational institute. So, education institutes feel a gap between their current position as an AI-enabled institutes. The following framework is introduced to cover up this gap.

Suggested Citation

  • B.Venura Lakshman & Dr J.V. Wijayakulasooriya & Prof T.M.S.S.K. Yatigammana, 2024. "AI Education Framework for Analysis and Profiling of Students Using Machine Learning," International Journal of Research and Innovation in Applied Science, International Journal of Research and Innovation in Applied Science (IJRIAS), vol. 9(11), pages 462-469, November.
    • Handle: RePEc:bjf:journl:v:9:y:2024:i:11:p:462-469
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