Integration of Artificial Intelligence Technology in Arabic Language Learning at IAIN Sintang, West Kalimantan

Abstract

This study investigates the integration of Artificial Intelligence (AI) technology in Arabic lan-guage learning at IAIN Sintang, West Kalimantan, an institution located in a remote area facing unique technological and pedagogical challenges. As AI transforms educational land-scapes globally, understanding its application in geographically isolated contexts becomes crucial for equitable educational development. This research examines how AI tools—including intelligent tutoring systems, chatbots, adaptive learning platforms, and automated assessment tools—are implemented in Arabic language instruction, exploring their effec-tiveness, challenges, and implications for remote higher education institutions. Employing a mixed-methods approach, data were collected through surveys of 85 students, interviews with 8 Arabic language instructors, classroom observations, and analysis of AI-enhanced learning outcomes. Findings reveal that AI integration significantly enhances personalized learning, student engagement, and autonomous practice opportunities despite infrastruc-ture limitations and digital literacy challenges. The study identifies critical success factors including adequate internet connectivity, teacher professional development, and culturally appropriate AI applications. This research contributes to understanding AI-enhanced lan-guage education in under-resourced contexts and provides practical recommendations for institutions in similar settings.