Integration of Artificial Intelligence in Primary School Mathematics Learning: Opportunities, Challenges, and Pedagogical Implications

Abstract

This study presents a comprehensive literature review on the integration of Artificial Intelligence (AI) in primary school mathematics education between 2020 and 2025. The review aims to identify key pedagogical opportunities, challenges, and implications of AI-assisted learning for young learners. Using a systematic literature review methodology, twenty peer-reviewed studies were analyzed from international and Indonesian academic databases, focusing on AI applications such as intelligent tutoring systems, adaptive learning platforms, and gamified learning environments. Findings indicate that AI enhances students’ conceptual understanding, engagement, and problem-solving skills through personalized and adaptive feedback mechanisms. It also supports teachers by providing real-time analytics that inform instructional decisions. However, challenges remain, including ethical issues, digital inequality, limited teacher readiness, and the lack of long-term empirical data on learning outcomes. The review concludes that successful AI integration requires balancing technological innovation with pedagogical intentionality and ethical governance. AI should serve as a complement to, rather than a replacement for, teachers in creating intelligent and inclusive learning environments. This study contributes to the growing body of knowledge by offering a synthesized understanding of AI’s role in transforming mathematics learning at the primary level and by highlighting directions for future research and educational policy development.