Фізико-математична освіта

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Machine Learning Techniques for Teaching Mathematics
(СумДПУ імені А. С. Макаренка, 2020) Воскоглой Майкл Гр.; Voskoglou Michael Gr.; Abdel-Badeeh M. Salem; Абдел-Баді М. Салем
Formulation of the problem. Famous social thinkers of our times are speaking about a forthcoming new industrial revolution that will be characterized by the development of an advanced Internet of things and energy, and by the cyber-physical systems controlled through it. There is no doubt that our students should take full advantage of the potential that the new digital technologies can bring for improving their learning skills. Materials and methods. This treatise has a review character. The methods of analysis used are based on already reported researches. Results. The article focuses on the role that the artificial teaching and learning of mathematics could play for education in the forthcoming era of the new industrial revolution Starting with a brief review of the traditional learning theories and methods of teaching mathematics, the article continues by studying the use of computers and of applications of artificial intelligence in mathematics education. Conclusions. The advantages and disadvantages of artificial with respect to traditional learning are discussed as well as the perspectives for future research on the subject.