Effects of Integrating Neural Network Technologies into the Training Process of IT Specialists

Anna Kulikovskaya, Olga Medushko, Irina Barannikova, Anastasia Zicova, Andrey Ryzhkov

Abstract


In the context of the active applied use of machine learning and artificial intelligence, there is a rapid growth in the updating of technologies and the complexity of tools [1, 2]. Currently, neural network technologies significantly save time in performing basic applied tasks [3, 4], which, in turn, can influence the learning process of students and the competency of employees. In article it is analyzed the impact of neural network technologies on the knowledge level of programmers. It analyzes various approaches taken by students when completing educational assignments and proposes methods to combat superficial understanding of educational programs due to a lack of independent task completion. The consequences of integrating neural networks into educational processes and their influence on the professional skills of future specialists are also discussed. To gain a deeper understanding of the issue, the results of surveys conducted with students and teachers were used, along with an analysis of modern approaches to programming education. Ideas for enhancing the assessment methods of learning outcomes are proposed to ensure quality training for future programmers in a rapidly changing information technology environment.

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References


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