Neural Networks as a Tool for Developing It Competencies in Students of Special Education (Defectology)

The article explores the use of neural networks as an innovative tool for supporting students’ independent work at pedagogical universities. The authors outline key principles and strategies for integrating neural network technologies into the educational process, while also addressing potential challenges and proposing solutions. The article presents findings from an empirical study that assessed the IT competencies of students in the Special Education (“Defectology”) program who use neural networks to complete academic and professional tasks. Additionally, it offers examples of practical assignments that can be incorporated into the curriculum. The authors emphasize the importance of developing specific methodological guidelines to improve the effectiveness of neural network applications in students’ independent learning.