Leveraging Artificial Intelligence for Transformative Education: Challenges and Recommendations

Abstract

The sheer force with which GPT models are inundating business, education and economic fields speaks to its ability to not only transform the ways in which we interact and act but also disrupt these ways. This systematic literature review applies the PSALSAR method to synthesize findings from 72 articles on AI applications in education, emphasizing its transformative potential across various domains. AI is transforming personalized learning by customizing content and feedback to individual needs, addressing challenges like data privacy and ethical concerns. It enhances administrative efficiency through automation and data-driven decision-making, improving institutional performance while managing biases and maintaining human interaction. The results indicate that while AI has tremendous potential in enhancing and revolutionizing the educational arena, it presents multiple challenges and concerns. As such, the study posits that there is a great need for a more structured approach to AI research in an educational context and proposes a 10-step model (AI10 Model).

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