Implementation of an oral dialogue based on a neural network of artificial intelligence in the online platform in secondary school

Abstract

The proposed article analyzes and investigates the methodology for implementing oral dialogue on the basis of an artificial intelligence neural network in an online platform for high school online learning. The range of tasks of the neural network has been determined. Firstly, teachers of secondary schools, gymnasium schools in the city of Taraz lack time for online sessions with students during classes, so they have to allocate time for individual online communication with each student individually. For an effective explanation of the educational material and the primary consolidation of the main topic, the authors propose the use of a neural network that processes the educational material of an electronic school textbook into an audio file, with the actual division of the sentence and the text. The neural network verbally explains the theoretical material to the student and the artificial intelligence evaluates the student’s voice response. Second, the authors include online editors of programs used in ICT and computer science classes in high school in the online platform. A visual demonstration of online problem solving methods is carried out in the online editor on the platform. The proposed online platform can be effectively used in traditional face-to-face education.