Abstract:
Programming is one of the most important skills of the 21st century. However, for many students, learning programming is a rather complex process. In such cases, it is important
to maintain the interest and involvement of students in the learning process. It is believed that
digital games can solve this problem. One of the types of games that are well suited for
the field of computer science are puzzles, which are aimed, among other things, at developing
cognitive abilities. The purpose of the work is to develop models, an algorithm for the operation
and structure of a game chatbot with artificial intelligence for learning programming using
Wordle-like puzzles. Game Wordle was chosen due to its worldwide popularity and adapted
as a gaming chatbot for use in learning programming. Artificial intelligence in the chatbot is
necessary to control the appropriateness and appropriate time of its use, as well as adaptively
forming the difficulty level of puzzle. Based on the data collected as a result of using a non-intelligent gaming chatbot, regression models of the influence of student indicators on the level
of interest and difficulty of puzzles offered by the gaming chatbot were built. The developed
models formed the basis of the algorithm of operation and structure of the gaming chatbot with
artificial intelligence. When using an intelligent gaming chatbot, it is possible to further train
the models and adjust the previously obtained coefficient values.
Keywords:gaming chatbot, learning to program, artificial intelligence.
Presented by the member of Editorial Board:A. A. Galyaev
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