METHODS AND TECHNIQUES FOR ENHANCING THE EDUCATION SYSTEM THROUGH THE USE OF NEURAL NETWORKS

Silviu Nicusor SURU, Cristian VASAR, Gabriela PROSTEAN, Olivia GIUCA

Abstract


During the pandemic context, there has been a massive migration towards new forms of hybrid and online teaching, and education has faced new and substantial challenges. With the proliferation of new communication technologies, the issue of maintaining an educational dialogue among the members of the three major generations involved in the educational process - namely, Generation X, Generation Y, and Generation Z - while keeping them up to date with all the new discoveries, has emerged. Identifying communication methods across these generations and the ability to convey and evaluate their knowledge have become subjects of research. Our research focuses on establishing a correlation between accepted, preferred, and used learning methods and the current generations engaged in the educational process, with the challenge of creating a viable model. In this regard, we intend to leverage artificial intelligence and the capacity of neural networks to develop a predictive system capable of determining and suggesting personalized learning methods for each student.

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