Computational model for the design of chatbots, dedicated to assist in learning programming

Currently, artificial intelligence is being used in many areas, from predictive mechanisms to the design of mechanisms capable of interacting with people, in many processes, as is the case of intelligent assistants, in this work we develop a computational model for the design of chatbots or intelligent assistants that help in the learning process of programming languages, We present as proof of the model, the help in programming languages such as "C", "C++", "Python"and "Julia", where we present as a training mechanism the syntax of each one of them, in order to differentiate the use of them and see the difference between them. We present the procedures to be able to configure situations or cases that you want to train the assistant, as well as to be able to make the queries, the results show that the model is replicable and applicable to other situations, depending on the training data.