Neural networks at the service of education: challenges of the new era of educational transformation

Abstract

The article is devoted to the current topic of using neural networks and chatbots in education. It analyzes various functions of neural networks, such as personalization of learning, automation of task checking, creation of adaptive educational materials, as well as the capabilities of chatbots to support and motivate students.
The paper highlights the importance of using artificial intelligence (AI) in education, noting its potential to improve learning quality, accessibility and efficiency. The authors cite the pros and cons of introducing chatbots and neural networks into the educational process, citing the results of a survey and interviews with participants in the educational process (students and teachers).
Methodology included theoretical analysis of the state of development of the problem, such scientometric databases and repositories of scientific texts as: Researchgate, GoogleScholar and Scopus databases were used. Teachers (School of Psychology and School of Foreign Languages) and students (School of Psychology and School of Foreign Languages) of V. N. Karazin Kharkiv National University participated in the empirical part of the study. Data were collected using a Google form and interviews with participants in the educational process. The practical aspect of the study involved the use of two questionnaires created with Google Forms. One of them was designed for students, while the other one was tailored for teachers from V. N. Karazin Kharkiv National University and other higher education institutions. Both questionnaires comprised 12 and 11 open- and close-ended questions respectively. Also, the teacher respondents were asked 7 open questions, two of which were of a general organizational nature.