INTEGRATION OF ARTIFICIAL INTELLIGENCE IN MATHEMATICS LEARNING
Keywords:
Artificial Intelligence, Mathematical Learning, Adaptive Learning.Abstract
The integration of Artificial Intelligence (AI) in mathematics learning has become an important topic in educational research due to its potential to transform teaching and learning processes. Despite the rapid development of digital technologies, many educational practices still rely on traditional methods that may not effectively address diverse student needs. This study aims to analyze the role, benefits, and challenges of AI integration in mathematics education through a systematic literature review. The research focuses on key variables such as personalized learning, adaptive systems, student engagement, and learning outcomes. The method used is a qualitative literature review approach, analyzing peer-reviewed journal articles published between 2020 and 2025. The data were collected through database searches and analyzed using thematic analysis techniques. The findings indicate that AI can enhance mathematics learning by providing adaptive feedback, improving conceptual understanding, and supporting differentiated instruction. However, challenges such as technological readiness, teacher competence, and ethical considerations remain significant. The study concludes that AI integration has strong potential to improve mathematics education, provided that implementation is supported by appropriate training and infrastructure
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Copyright (c) 2026 Rita Indrawati, Desi Syahlawati, Aini Salsabila, Yana Maulana (Author)
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