A systems approach to AI and education in a post-digital world

Abstract

In the post-digital era where digital technologies are fully embedded in daily life, education must adapt to the rapid infusion of artificial intelligence (AI). This article explores a systems approach to AI integration in education, emphasizing both opportunities — such as personalized learning, administrative support, and innovative pedagogies — and challenges, including integrity, bias, and data security. It proposes an embedded systems perspective, recognizing the interdependence of institutional components and the need for holistic, strategic innovation. By adopting a systems-thinking approach, education can evolve to maximize AI’s benefits while ensuring a human-centered, ethical, and inclusive learning environment.

Topics & Concepts