Individualised Education and Artificial Intelligence: Artificial Intelligence (AI)'s Potential to Study Personal Learning Patterns to Adapt Educational Participation

Ejuchegahi Anthony Angwaomaodoko

Abstract

Technology has revolutionised education worldwide, profoundly affecting both learners and educators. Educators have shifted from stereotypical education administration to an individualised learning system that gives learners' preferences and uniqueness the required attention. The researchers conducted this study to investigate the potential of artificial intelligence in enhancing personalised learning. The researchers incorporated constructivist and self-regulating theories to substantiate the significance of the topic. An integrative literature review was conducted to achieve the study's objective and to present a framework that can guide stakeholders in implementing artificial intelligence to advance personalised education. The review revealed that artificial intelligence can facilitate improved engagement, adaptive learning, individualised predictive intervention and support, and inclusivity. The study also found that data privacy, decline in mental brilliance, and lack of AI-driven platforms are all challenges faced in the implementation and use of artificial intelligence in the education sector.

10.22178/pos.120-27


Keywords


Artificial Intelligence; Education; Learning Patterns; Personalized Education; Potential; Participation

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References


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