AI SUPPORTED LITERACY AND NUMERACY LEARNING: A SYSTEMATIC REVIEW FOR SDGs
Kamariah dan M. Saufi

1Department of Information Technology Education, Universitas PGRI Kalimantan, Banjarmasin, Indonesia

Abstract

The rapid advancement of artificial intelligence (AI) has transformed educational practices by enabling adaptive, personalized, and data-driven learning. AI-supported learning offers significant potential to enhance literacy and numeracy skills, which are essential for achieving quality education as outlined in the Sustainable Development Goals (SDGs). However, existing research on AI in education remains fragmented and lacks comprehensive synthesis. This study aims to systematically review the literature on AI-supported learning in literacy and numeracy education, focusing on its implementation, impact, challenges, and future directions in the context of SDGs. This research employs a Systematic Literature Review (SLR) method following PRISMA guidelines. Relevant articles were collected from reputable databases using predefined keywords and inclusion criteria. The findings indicate that AI-supported learning, including adaptive learning systems, intelligent tutoring systems, and AI-driven analytics, improves students^ literacy and numeracy skills, engagement, and critical thinking abilities. However, challenges such as infrastructure limitations, teacher readiness, and ethical concerns remain. This study highlights the potential of AI in supporting sustainable education and provides directions for future research and practice.

Keywords: ai-supported learning- literacy- numeracy- SDGs- systematic literature review

Topic: AI for Learning