Використання нейронних мереж для визначення сумісності між викладачем і студентом

Abstract

The use of neural networks has become increasingly popular in recent years, and one area where they can be particularly effective is in determining teacher student compatibility. While teacher-student compatibility has long been recognized as an important factor in the learning process, using traditional methods to assess compatibility can be time-consuming and subjective. Neural networks offer an alternative approach that can be more efficient, accurate and objective.