Utilization of Artificial Intelligence (AI) in Adaptive Learning: A Conceptual Study in the Era of Education 5.0

Abstract

The development of digital technology is pushing the world of education into the era of Education 5.0, a phase where humans and technology work collaboratively to create more personalized, humanistic, and flexible learning. One of the most influential technologies in this transformation is artificial intelligence (AI). This conceptual article aims to in-depth examine the use of AI in adaptive learning through a literature review approach of various national and international journals in the last five years. The analysis shows that AI can facilitate personalized learning through material recommendation systems, machine learning-based automated assessments, and real-time monitoring of student learning progress. Furthermore, the presence of AI encourages teachers to shift from an instructional role to a facilitator who focuses on mentoring, character building, and metacognitive guidance. However, this study also identified several challenges such as unequal teacher digital literacy, the risk of algorithmic bias, student data protection, and gaps in technological infrastructure. This article emphasizes that the integration of AI in adaptive learning in the Education 5.0 era requires comprehensive education policies, improved teacher competency, and ethical, safe, and student-centered learning design. Thus, AI is not just an automation tool, but becomes a strategic partner in improving the quality of inclusive, responsive, and sustainable learning.