Handling Learning Mathematics challenges using (Ai) | ||
| البحوث التطبيقية في العلوم والانسانيات | ||
| Volume 2, Issue 1, 2025, Pages 23-43 PDF (1.33 M) | ||
| Document Type: المقالة الأصلية | ||
| DOI: 10.21608/aash.2025.454148 | ||
| Authors | ||
| Jana Ibrahim; Donia Atef; Roqia Mohamed; Sara Tarek; Mahmoud Hamed | ||
| Lecturer in Pure Mathematics. Ain Shams University, Faculty of Education, Program Bachelor of Science and Education (Preparatory and Secondary), Maths Major (in English). | ||
| Abstract | ||
| 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. | ||
| Keywords | ||
| Artificial Intelligence; Smart Education; Adaptive Learning; Educational | ||
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