Handling Learning Mathematics challenges using (Ai)

نوع المستند : المقالة الأصلية

المؤلفون

Lecturer in Pure Mathematics. Ain Shams University, Faculty of Education, Program Bachelor of Science and Education (Preparatory and Secondary), Maths Major (in English).

المستخلص

This study explores the use of Artificial Intelligence (AI) to address common challenges in learning
mathematics, such as difficulties in comprehension, lack of engagement, and the absence of personalized
learning experiences. With the growing need for innovative educational solutions, AI-powered tools such
as adaptive learning systems, virtual tutors and machine learning platforms offer promising ways to support
students and educators. The study analyzes key obstacles in mathematics education and evaluates existing
AI-driven approaches. It also proposes a framework that leverages machine learning algorithms to diagnose
student difficulties and provide tailored solutions. Findings indicate that AI enhances understanding,
increases engagement, and delivers real-time feedback, thereby improving overall learning outcomes.
Additionally, the research suggests that AI tools effectively complement traditional teaching methods,
particularly in resource-limited settings.
The study concludes that integrating AI into mathematics education holds significant potential for
improving learning efficiency and accessibility. However, further development is required to ensure
accuracy, inclusivity, and adaptability to diverse student needs. This approach paves the way for a more
interactive and effective future in mathematics education.

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