Personalized Training with the Help of Automation and Assistant Based on Artificial Intelligence

EasyChair Preprint no. 9958

Abstract

Modern students like to communicate with bots, are ready to share their thoughts with them, listen to their advice, even more than the advice of teachers and parents. Therefore, we offer to personalize training with the help of automation and an assistant based on artificial intelligence. An important starting point for a student's education is determining the student's level of knowledge and motivation. This is the first task for automation - to determine the point of entry of the student into the study program. During training, support and motivation are important. And this is the second task for our assistant - to support and motivate this particular student, this is where artificial intelligence will be needed. When students have received individual support and completed training at exactly the level and at the pace they need, then it is important to consolidate what they have learned and take part in competitions with other students of the same level.The main task is to understand the purpose of the student and create a truly smart chatbot. The proposed model is implemented to understand intentions. Recently, various ML and NLP methods have been used to understand the classification of text entered in a chatbot dialog. The structure performs the classification of data from the student to data entry in several stages: data collection, preprocessing and classification of the received data.Depending on the request, the chatbot may not save the correct response to the request, in such cases it is necessary to use: predefined text; text extracted from a knowledge base containing multiple responses; some of the information is provided in context and based on the student's data; data is stored in the corporate system.Based on the data presented, a quiz chatbot was created using artificial intelligence to evaluate the results of user testing. For implementation, the Telegram platform was chosen as the Python programming language.

Keyphrases: analysis, Artificial Intelligence, Chatbot, Industry 4.0, NLP, Telegram Bot

@Booklet{EasyChair:9958,
  author = {Hanna Telychko and Glib Stupak and Ivan Blazarenas and Danylo Sedov},
  title = {Personalized Training with the Help of Automation and Assistant Based on Artificial Intelligence},
  howpublished = {EasyChair Preprint no. 9958},

  year = {EasyChair, 2023}}