Facultatea de Matematică şi Informatică / Faculty of Methematics and Informatics
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Item APLICAȚII ALE INTELIGENȚEI ARTIFICIALE ÎN EDUCAȚIA MATEMATICĂ(CEP USM, 2024) Brânoaea, Gabriela-CristinaThis paper presents the relevance of artificial intelligence in mathematics education through the use of an Intelligent Support System developed in Wolfram Mathematica. The system enables the creation of an unlimited number of customized items necessary for training students passionate about mathematics. By combining neuroscience research with artificial intelligence, personalized, deeper, and faster learning of mathematics can be achieved, enhancing each student’s potential. The system supports mathematics training through three practical components: diagnosing learning characteristics and current levels, structuring educational materials and creating adaptive study methods, and designing adaptive algorithms for optimal learning environment personalization. Research was conducted on 200 middle school students, divided into control and experimental groups. Results showed significant improvement in the experimental group, demonstrating the system’s effectiveness. Feedback from students and teachers highlighted the system’s ability to make mathematics learning more engaging and efficient.Item TEHNICI DE INTELIGENȚĂ ARTIFICIALĂ APLICATE ELEVILOR CU APTITUDINI MATEMATICE ÎNALTE(CEP USM, 2023) Brănoaea, Gabriela CristinaThis paper presents the relevance of artificial intelligence in the teaching of mathematics by using an Intelligent Support System made in Wolfram Mathematica. This system allows the design of an unlimited number of personalized items necessary for the training of students passionate about mathematics. Neuroscience research in collaboration with artificial intelligence can lead to deeper and faster personalized math learning, increasing the potential of every student.Item SISTEM SUPORT INTELIGENT PENTRU PREGĂTIREA OLIMPICILOR LA MATEMATICĂ(CEP USM, 2020) Ghiță, Vasilica TraianaIn lucrarea de față este expusă o metodologie inteligentă de sporire a performanțelor olimpice la matematică grație elaborării și aplicării planurilor personalizate de pregătire a olimpicilor. Metodologia este asistată de un Sistem Suport Inteligent realizat în Wolfram Mathematica. Sistemul permite elaborarea oricărui număr de probleme olimpice personalizate necesare antrenamentului fiecărui olimpic.