METHODS OF TEACHING MATHEMATICS USING ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING TOOLS
Keywords:
artificial Intelligence, Machine Learning, Mathematics Education, Adaptive Learning, Intelligent Tutoring Systems, Educational Technology, Data Analytics, Personalized Learning, Deep Learning, STEM Education.Abstract
This article explores innovative methods for teaching mathematics through the integration of Artificial Intelligence (AI) and Machine Learning (ML) tools. With the increasing demand for personalized learning experiences and adaptive educational technologies, AI and ML offer transformative approaches to enhance student engagement, improve problem-solving skills, and foster deeper conceptual understanding. The study analyzes various AI-driven platforms, intelligent tutoring systems, and data-driven methodologies that support effective mathematics instruction. The article also highlights the challenges and potential solutions in implementing these technologies in educational settings.
References
1. Baker, R. S., & Inventado, P. S. (2014). Educational data mining and learning analytics. In Learning Analytics (pp. 61-75). Springer.
2. Koedinger, K. R., Corbett, A. T., & Perfetti, C. (2012). The Knowledge-Learning-Instruction framework: Bridging the science-practice chasm to enhance robust student learning. Cognitive Science, 36(5), 757–798.
3. Woolf, B. P. (2010). Building Intelligent Interactive Tutors: Student-centered strategies for revolutionizing e-learning. Morgan Kaufmann.
4. Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Center for Curriculum Redesign.
5. Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education – where are the educators? International Journal of Educational Technology in Higher Education, 16(1), 1-27.
