Enhancing Polynomial Function Education in Secondary Mathematics through Python-Based Computational Tools: A Dual Approach to Theoretical Learning and Practical Application

This paper explores the integration of Python-based computational tools in secondary mathematics education, specifically for enhancing the understanding and application of polynomial functions. It addresses the challenges posed by traditional teaching methods, which often involve complex mathematical concepts beyond the typical secondary curriculum. By implementing Python tools that allow students to input equations and receive immediate computational assistance, the study demonstrates how these technologies can support and simplify polynomial function education. This approach not only makes learning more accessible but also aligns with contemporary educational practices that emphasize interactivity and a student-centered approach to learning. Additionally, the paper discusses the balance between using computational tools and traditional methods to foster a comprehensive understanding of mathematical principles. The implications for future educational practices and the development of computational thinking are also considered, emphasizing the potential benefits and limitations of technology in educational settings.