This theoretical examination explores AI's impact on customized learning in mathematics, suggesting transformative potential.
Artificial Intelligence (AI) is increasingly transforming education, particularly in mathematics, where AI offers tremendous promise to strengthen conceptual understanding, create customized learning experiences, and improve assessment. This paper offers a theoretical examination of AI tools in mathematics teaching and learning by focusing on five current platforms, Magic School AI, SchoolAI, Brisk Teaching, Auto Classmate, and Teach Easy, which represent a next generation of educator- and learner-centered AIs. These new kinds of technologies enable intelligent automation, adaptive instruction, and real-time feedback for students and teachers. Using constructivist and cognitive learning theories, the researchers had examined how these kinds of tools may support learning, instructional design, and data-informed teaching pedagogy in mathematics classrooms. Additionally, the study addresses the challenges and ethical implications of expanding supportive technologies in education in order to provide insight into future-oriented educational practice.
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Kanvaria et al. (2025) studied this question.
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