AI-Assisted Tools as Support for High School Students in Learning Mathematics

Artificial Intelligence (AI) has created a paradigm shift in Mathematics education, particularly in the teaching and learning process. This meta-synthesis aimed to explore and develop an integrated framework on the interconnected mechanisms that explain how AI-assisted tools support mathematics learning among high school students. This study reviewed 11 qualitative studies published from 2021 to 2026. Throughout the selection process, the PRISMA 2020 flow diagram, together with the CASP checklist, was utilized showing the final studies to be synthesized. There are five themes emerged using the thematic analysis by Braun and Clarke: Facilitating Personalized and Adaptive Mathematics Learning, Supporting Mathematics Learning Through Immediate Feedback and Scaffolding, Deepening Students' Conceptual Understanding of Mathematics, Promoting Active Engagement and Motivation in Mathematics Learning, and Underlying AI-Risks and Pedagogical Challenges in Learning Mathematics. Findings revealed that AI-assisted tools used by high school students in learning mathematics such as Intelligent Tutoring Systems, AI Chatbots, Generative AI, and AI-based Calculators support students’ mathematics learning by providing personalized, self-paced, and interactive learning experiences. These AI tools offer fast feedback and guided problem solving which help the students deepen their conceptual understanding, mathematical reasoning, and critical thinking in mathematics. However, significant challenges and risks were divulged along the use of AI tools in Mathematics such as errors and hallucinations, data privacy concerns, lack of teacher training, and infrastructure limitations. This study recommends that policy makers and education stakeholders should integrate AI competency in the High School Mathematics curriculum and teachers should undergo professional development on AI-assisted instruction.