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Artificial Intelligence in Elementary Math Education: Analyzing Impact on Students Achievements

  • Ana Bešlić,
  • Josip Bešlić,
  • Dina Kamber Hamzić

摘要

The study investigates the impact of integrating Artificial Intelligence (AI) in teaching mathematics to seventh-grade students, typically aged 12–13, focusing on the chapter about integer numbers. It explores how AI can revolutionize traditional teaching methods by providing innovative, engaging, and personalized learning experiences. Through an experimental design involving control and experimental groups, the research aims to uncover the benefits and limitations of AI in education, offering insights and practical guidelines for its effective integration into teaching practices. The broader implications for education suggest that AI could be beneficial in various segments of the educational process, not only in terms of improving the understanding of specific subjects but also in preparing students for a job market increasingly reliant on AI. This perspective encourages a comprehensive view of the educational process, beyond singular outcomes, and opens avenues for further research and application of evolving AI models like large language models. The study concludes by highlighting the importance of continuing to explore new paths for education and other segments of human activity through the application of rapidly evolving AI technologies.