UTILIZATION OF ARTIFICIAL INTELLIGENCE, LEARNING ANALYTICS, AND BIG DATA IN ISLAMIC RELIGIOUS EDUCATION LEARNING

Abstract

The digital transformation of the industry 4.0 era presents significant opportunities for Islamic Religious Education (PAI) through the utilization of Artificial Intelligence (AI), Learning Analytics (LA), and Big Data technologies. This article aims to examine the concepts, potentials, and integration strategies of these three technologies in PAI learning. This study employs a literature review approach, analyzing various scientific sources related to AI, LA, and Big Data in the context of Islamic education. The findings indicate that Big Data serves as the foundation for providing raw learning data, LA processes this data into meaningful information, while AI utilizes it for personalization and automation of learning. Their integration creates an adaptive, evidence-based, and individually responsive PAI learning ecosystem. This research contributes a conceptual framework for Islamic educational institutions in implementing digital technology without sacrificing the spiritual and humanistic values that constitute the essence of PAI.

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